Impact Evaluation Methods and Applications to Access to Energy

Size: px
Start display at page:

Download "Impact Evaluation Methods and Applications to Access to Energy"

Transcription

1 Impact Evaluation Methods and Applications to Access to Energy Università Cattolica del Sacro Cuore and Laboratorio Expo (Fondazione Feltrinelli) ExpoSchool, acopo Bonan (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

2 What you know already Energy poverty is now a recognized global policy issue: Energy access is VITAL for achieving MDGs Quality of life Health care Schooling Time allocation Female empowerment Food safety and security Business development, job creation, income generation and competitiveness (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

3 What you know already Energy access at global level (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

4 What you know already Energy and Economic Development (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

5 What you know already Energy and Human Development (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

6 What you know already Energy and Health (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

7 Policies for ghting energy poverty Rural electri cation programs: High within-country variability: urban-rural divide Big programs at national level (e.g. Brazil, China, India), with support of international agencies (e.g. World Bank, Sustainable Energy for All Initiative) Di erent technological solutions for production, transmission and distribution Public-private partnerships: need for long-term economic and nancial sustainability, but also a ordability (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

8 Policies for ghting energy poverty Adoption of improved cookstoves: Less attention than electricity programs: some large national programs (e.g. China), but not strong involvement by international organizations Large range of technological possibilities, e ciency and impacts on health Global Alliance for Clean Cookstove calls for 100 million homes with clean and e cient cookstoves by 2020 (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

9 Why Impact evaluation? Establish causual relationships -> trace the precise relationship between the intervention provided and the outputs and outcomes achieved (the attribution problem) Identify interventions which are e ective and e cient: how much of my outcome I obtain, with 1$ of intervention? Find mechanisms: why something work and something does not? What makes it work? (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to AccessExpoSchool, to Energy / 43

10 Impact evaluation methods To determine the impact of the program we need knowledge of counterfactuals, that is, what would have happened in the absence of the program? Problem: the true counterfactual is not observable The fundamental problem of impact evaluation is thus a problem of missing data We don t know what would have happened in the absence of the program (the counterfactual) The key goal of all program/impact evaluation methods is to construct or mimic the counterfactual as best as possible. (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

11 What we observe: (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

12 The counterfactual: what would have happened in the absence of the program? (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

13 The counterfactual: what would have happened in the absence of the program? (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

14 BUT... We will never have a child both with AND without a bednet at the same time... we will never observe simultaneously a women with AND without electricity So the counterfactual is NEVER observed Possible Solution: Use non-participants as point of comparison = Control Group E.g.: use kids who have not bednets, and women who do not have access to electricity (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

15 Simple di erence: bene ciaries vs non bene ciaries (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

16 BUT... If there are di erences in background characteristics between the group of bene ciaries and non-bene ciaries Example: if only kids who are very poor are o ered a bednet, or electricity is distributed in villages which are closer to cities and main roads, therefore better o than more remote ones without electricity Biased comparison: selection bias (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

17 Selection Bias (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

18 Selection Bias The outcome di erence that would be observed between bene ciaries and non-bene ciaries if the programme were not implemented; depends on pre-existing di erences between groups Exemple of positive selection bias: parents in schools that received textbooks prioritise education more than those in schools which did not Exemple of negative selection bias: NGO program targeting schools in disadvantaged areas (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

19 We are interested in the unit level causal e ect. But we cannot observe both potential outcome under treatment and non-treatment at individual level We cannot compare the same indiviual outcome before and after treatment: other factors a ecting the outcome may have changed over time We can only measure the average e ect in the population We need to nd plausible counterfactuals, solving the selection bias (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

20 How to solve the selection bias? Randomization Di erences-in-di erences Controlling for observables Regression discontinuity design (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

21 Randomization A treatment randomly assigned ensures that both treated and control groups di er in expectation only through their exposure to the treatment. The selection bias is equal to zero: elimination of pre-existing group di erences because only chance determines which subjects are assigned to which groups Law of large numbers: the larger the sample, the smaller preexisting di erences are likely to be: we compare average e ects: individuals assigned to treatment and control groups di er in expectation only through their exposure to the treatment Researchers test for random assignment by comparing means of various controls across both treated and control groups:.no di erence shows that randomization is ok (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

22 Problems and concerns with randomization Ethical constraints Financial costs Internal validity: A study is internally valid if we get unbiased estimate of the overall impact of the program in the sample under study excluding all other possible confounding factors. However, this can not be always the case: partial compliance, externalities/spillovers, attrition (non-response bias) External validiy: results are generalizable and replicable? Speci c procedure, treatment, sample. Evidence of good replications helps Hawtorne e ects: changes in behavior among groups (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

23 What if randomization is not feasable? What if we are in observational settings, when the analyst cannot manipulate the selection process, but can jus tobserve the process? Look at other methods which allow to create comparison groups that are valid under a set of identifying assumptions Identifying assumptions are not directly testable: need to be convincing!! (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

24 Di erence-in-di erence (DID) Non-experimental setting Outcome variable is observed in two points in time (panel data): before (t = 0): pre-treatment and after the policy intervention (t = 1): post-treatment The di erence in di erence estimator is de ned as the di erence in average outcome in the treatment group before and after treatment minus the di erence in average outcome in thecontrol group before and after treatment Identi cation assumption:the unobserved di erences between treatment and control groups are the same over time (the selection bias is constant over time) (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

25 (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

26 Possible problems Failure of the common trend assumption: what if Y follows a di erent trend for the treatment and control group? BIAS!! Nedd to get more data on other time periods (pre and post intervention), nd other control groups Suppose the program is announced before, what if people manipulate the preprogram characteristics (e.g. migration)? The selection bias is not constant over time anymore! (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

27 Controlling for observables Non-random context: being bene ciary of a program or not depends on a (self) selection process Assumption: all factors relevant to the outcome variable that enter the selection process are observed for bene ciaries and non-bene ciaries (contained in X ) Find a comparison/control grouop with very similar observable characteristics to the treatment group among the non-bene ciaries Assumption: once we control for (or conditional on) this set of variables X, the selection bias is zero and treatment is as good as random assigned Idea: compare the outcomes of "treated" individuals vs very similar (according to all the characteristics that we assume are driving the selection process) "non-treated" individuals (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

28 Regression Discontinuity Design The probability of assignement to treatment group is deterministic and depends upon a discontinuous function of one or more observable variables X (when the observed variable exceeds a certain cut-o point): incentives to students above a certain average eligibility for microloans to women living in households with less than one acre of land etc.. Idea: compare individuals just below and just above the threshold. If the individuals cannot manipulate the assignment variable Key assumption: all other factors are continuous with respect to X: all baseline characteristics should have the same distribution just above and below the cuto (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

29 (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

30 Possible problems We cannot test the continuity assumption directly, but we we can test some implications of it: all observed predetermined characteristics should have identical distributions on either side of the cuto The strength of the RD design is its internal validity:arguably the strongest of any quasi-experimental design External validity may be limited What if people can manipulate the level of the underlying variable that determines eligibility? Test for continuity in the density of the assignment variable at the cuto (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

31 Impact evaluation of access to energy Review of the latest empirical and analytical evidence about impacts of energy access (electricity and improved cookstoves) on di erent outcomes: Labour market, household welfare, business Barriers and drivers to access to modern energy Selection criteria: use of microeconmetric studies and impact evaluation methods (experimental and non-experimental designs) (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

32 Impacts of access to electricity (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

33 Impacts of access to electricity (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

34 Impacts of access to electricity (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

35 Impacts of access to clean and e cient cookstoves (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

36 (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

37 Barriers and drivers to access to modern energy services Role of women in the family: stronger preference for healthier stoves, but lack the authority to make purchases (Miller and Mobarak, 2013, Bangladesh) Role of networks and opinion leaders in decision to adopt improved cookstoves (Miller and Mobarak, 2013, Bangladesh); electricity connection as social status with consequent bandwagon e ects (Bernard and Torero, 2013, Ethiopia) Informational and nancial constraints (Levine et al. 2013, Uganda) Role of informational constraints and social networks/ peer pressure (see next slides) (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

38 Research project in Mali Information and social network in the decision to adopt e cient cookstove: an experimental design for Mali Team: P.Battiston (S. S. Sant Anna), J.Bonan (UCSC),J Bleck (Notre Dame Univ, US), P.LeMay-Boucher (Heriot-Watt Univ, GB), B.Sarr (PSE) (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

39 The context: Malian urban context 95% use solid fuels for cooking only 6% have access to clean fuels less than 0.5% use improved biomass cookstoves The objectives 1 Role of group decisions and social networks: What is the e ect of the group (peer e ects) at the moment of taking decisions on improved technology adoption? Is there evidence of bandwagon e ects? 2 Role of informational barriers: to what extent presenting the product and its advantages increases the uptake? 3 Role of spillover e ects: to what extent observing for longtime people who adopted the new product in uences the decision to purchase? 4 Impact of improved cookstoves on household welfare: what is the e ect of purchase on usage, fuel expenditure, time allocation, health conditions and saving at household level? (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

40 (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

41 Research design Baseline survey of a sample of 960 randomly selected women in Bamako in 32 neighbourhoods Use of Randomized Control Trials (RCT): random assignment to di erent treatments: Demonstration/training session Demonstration + information peer purchase decision Control group Monitor of usage, through installation of Stove Use Monitors on a sub-sample (N=150) of purchasers (January-April 2015) Endline survey (May-June 2015) (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

42 Results???? Soon!! (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

43 References On impact evaluation methods J. Angrist and JS Pischke (2009) Mostly Harmless Econometrics: An Empiricist s Companion, Princeton University Press Du o, E., Glennerster, R. and Kremer, M. (2008) Using Randomization in Development Economics Research: a Toolkit. Imbens, G. (2004). Nonparametric Estimation of Average Treatment E ects under Exogeneity: A Review. Review of Economics and Statistics. Rachel Glennerster and Kudzai Takavarasha (2013) Running Randomized Evaluations: A Practical Guide David S. Lee & Thomas Lemieux, "Regression Discontinuity Designs in Economics," Journal of Economic Literature, vol. 48(2), pages Review of impacts on access to energy J.Bonan, S.Pareglio, M.Tavoni (2014). Access to modern energy: a review of impact evaluations, FEEM Working Paper No (Università Cattolica del SacroImpact CuoreEvaluation and Laboratorio Methods Expo and(fondazione Applications Feltrinelli)) to Access ExpoSchool, to Energy / 43

E ect of Interest Rate on Consumption

E ect of Interest Rate on Consumption E ect of Interest Rate on Consumption Mudit Kapoor and Shamika Ravi y Indian School of Business Hyderabad, India Abstract This paper estimates the response of consumption to higher real interest rate.

More information

OUTLINE OF PRINCIPLES OF IMPACT EVALUATION

OUTLINE OF PRINCIPLES OF IMPACT EVALUATION OUTLINE OF PRINCIPLES OF IMPACT EVALUATION PART I KEY CONCEPTS Definition Impact evaluation is an assessment of how the intervention being evaluated affects outcomes, whether these effects are intended

More information

Concept Note: Impact evaluation of vocational and entrepreneurship training in Nepal

Concept Note: Impact evaluation of vocational and entrepreneurship training in Nepal A BRIEF CONCEPT NOTE ON Assessing the impact of vocational and entrepreneurship training implemented by Employment Fund Project/ HELVETAS Swiss Intercooperation in Nepal Background The Employment Fund

More information

Leaving Nothing to Chance: Randomizing to Measure Impact Citi-FT Financial Education Summit 5-6 November 2014 Kuala Lumpur

Leaving Nothing to Chance: Randomizing to Measure Impact Citi-FT Financial Education Summit 5-6 November 2014 Kuala Lumpur Leaving Nothing to Chance: Randomizing to Measure Impact Citi-FT Financial Education Summit 5-6 November 2014 Kuala Lumpur Pooja Wagh Initiative Coordinator, Global Financial Inclusion Initiative Innovations

More information

A Note on Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables

A Note on Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables DISCUSSION PAPER SERIES IZA DP No. 2126 A Note on Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables Markus Frölich April 2006 Forschungsinstitut zur Zukunft der Arbeit

More information

How to Randomize. Nassreena Sampaco-Baddiri Innovations for Poverty Action Philippines. 3 rd September, 2014

How to Randomize. Nassreena Sampaco-Baddiri Innovations for Poverty Action Philippines. 3 rd September, 2014 How to Randomize Nassreena Sampaco-Baddiri Innovations for Poverty Action Philippines 3 rd September, 2014 Lecture Overview Unit and method of randomization Real-world constraints Revisiting unit and method

More information

Panel Data Econometrics

Panel Data Econometrics Panel Data Econometrics Master of Science in Economics - University of Geneva Christophe Hurlin, Université d Orléans University of Orléans January 2010 De nition A longitudinal, or panel, data set is

More information

Employment E ects of Service O shoring: Evidence from Matched Firms

Employment E ects of Service O shoring: Evidence from Matched Firms Employment E ects of Service O shoring: Evidence from Matched Firms Rosario Crinò Institut d Anàlisi Econòmica, CSIC December, 2009 Abstract This paper studies the e ects of service o shoring on the level

More information

Identifying Moral Hazard in Car Insurance Contracts 1

Identifying Moral Hazard in Car Insurance Contracts 1 Identifying Moral Hazard in Car Insurance Contracts 1 Sarit Weisburd The Hebrew University May 26, 2013 1 I would like to thank Yehuda Shavit for his thoughtful advice on the nature of insurance data and

More information

Using Monitoring and Evaluation to Improve Public Policy

Using Monitoring and Evaluation to Improve Public Policy SRA Workshop 10 March 2008 British Library Conference Centre, London Using Monitoring and Evaluation to Improve Public Policy Philip Davies, PhD American Institutes for Research Oxford England and Washington,

More information

Section 2 Randomized and Natural (or Quasi-) Experiments

Section 2 Randomized and Natural (or Quasi-) Experiments Section 2 Randomized and Natural (or Quasi-) Experiments Randomized versus natural (or quasi-) experiments Definitions: A (randomized) experiment is designed and implemented consciously by human researchers.

More information

Working Paper no. 37: An Empirical Analysis of Subprime Consumer Credit Demand

Working Paper no. 37: An Empirical Analysis of Subprime Consumer Credit Demand Centre for Financial Analysis & Policy Working Paper no. 37: An Empirical Analysis of Subprime Consumer Credit Demand Sule ALAN & Gyongyi LORANTH December 2010 The Working Paper is intended as a mean whereby

More information

Workshop on Impact Evaluation of Public Health Programs: Introduction. NIE-SAATHII-Berkeley

Workshop on Impact Evaluation of Public Health Programs: Introduction. NIE-SAATHII-Berkeley Workshop on Impact Evaluation of Public Health Programs: Introduction NHRM Goals & Interventions Increase health service use and healthrelated community mobilization (ASHAs) Increase institutional deliveries

More information

Microcredit and poverty. An overview of the principal statistical methods used to measure the program net impacts

Microcredit and poverty. An overview of the principal statistical methods used to measure the program net impacts ISSN: 2038-7296 POLIS Working Papers [Online] Dipartimento di Politiche Pubbliche e Scelte Collettive POLIS Department of Public Policy and Public Choice POLIS POLIS Working Papers n. 180 February 2011

More information

Empirical Methods in Applied Economics

Empirical Methods in Applied Economics Empirical Methods in Applied Economics Jörn-Ste en Pischke LSE October 2005 1 Observational Studies and Regression 1.1 Conditional Randomization Again When we discussed experiments, we discussed already

More information

Corporate Income Taxation

Corporate Income Taxation Corporate Income Taxation We have stressed that tax incidence must be traced to people, since corporations cannot bear the burden of a tax. Why then tax corporations at all? There are several possible

More information

IMPACT EVALUATION: INSTRUMENTAL VARIABLE METHOD

IMPACT EVALUATION: INSTRUMENTAL VARIABLE METHOD REPUBLIC OF SOUTH AFRICA GOVERNMENT-WIDE MONITORING & IMPACT EVALUATION SEMINAR IMPACT EVALUATION: INSTRUMENTAL VARIABLE METHOD SHAHID KHANDKER World Bank June 2006 ORGANIZED BY THE WORLD BANK AFRICA IMPACT

More information

Impact Assessment of Loans to Female-run Start-ups

Impact Assessment of Loans to Female-run Start-ups Impact Assessment of Loans to Female-run Start-ups ` Farah Said 1 & Mahreen Mahmud 2 September 4, 2014 1. Centre for Research in Economics and Business, Lahore School of Economics, Pakistan 2. University

More information

Identifying Moral Hazard in Car Insurance Contracts 1

Identifying Moral Hazard in Car Insurance Contracts 1 Identifying Moral Hazard in Car Insurance Contracts 1 Sarit Weisburd The Hebrew University April 6, 2010 1 I would like to thank Yehuda Shavit for his thoughtful advice on the nature of insurance data

More information

Planning sample size for randomized evaluations

Planning sample size for randomized evaluations TRANSLATING RESEARCH INTO ACTION Planning sample size for randomized evaluations Simone Schaner Dartmouth College povertyactionlab.org 1 Course Overview Why evaluate? What is evaluation? Outcomes, indicators

More information

Incentive Effects of the No Child Left Behind Act in California Schools

Incentive Effects of the No Child Left Behind Act in California Schools Incentive Effects of the No Child Left Behind Act in California Schools Vivian Hwa UC Berkeley November 2006 Abstract This paper evaluates the effect of the No Child Left Behind Act of 2001 (NCLB) on school

More information

Normalization and Mixed Degrees of Integration in Cointegrated Time Series Systems

Normalization and Mixed Degrees of Integration in Cointegrated Time Series Systems Normalization and Mixed Degrees of Integration in Cointegrated Time Series Systems Robert J. Rossana Department of Economics, 04 F/AB, Wayne State University, Detroit MI 480 E-Mail: r.j.rossana@wayne.edu

More information

Identifying Moral Hazard in Car Insurance Contracts 1

Identifying Moral Hazard in Car Insurance Contracts 1 Identifying Moral Hazard in Car Insurance Contracts 1 Sarit Weisburd The Hebrew University August 28, 2012 1 I would like to thank Yehuda Shavit for his thoughtful advice on the nature of insurance data

More information

This class is ideal for master's students who plan to work with empirical research in a professional setting.

This class is ideal for master's students who plan to work with empirical research in a professional setting. Public Policy 713: Causal Inference in Education Policy Fall 2013 - Professor Susan Dynarski Class Meetings: Monday/Wednesday 10:00-11:30, Weill Hall 1230 Office Hours: Weill 5212, Sign Up http://goo.gl/xczlb

More information

1. The Classical Linear Regression Model: The Bivariate Case

1. The Classical Linear Regression Model: The Bivariate Case Business School, Brunel University MSc. EC5501/5509 Modelling Financial Decisions and Markets/Introduction to Quantitative Methods Prof. Menelaos Karanasos (Room SS69, Tel. 018956584) Lecture Notes 3 1.

More information

Identifying Moral Hazard in Car Insurance Contracts 1

Identifying Moral Hazard in Car Insurance Contracts 1 Identifying Moral Hazard in Car Insurance Contracts 1 Sarit Weisburd The Hebrew University September 28, 2014 1 I would like to thank Yehuda Shavit for his thoughtful advice on the nature of insurance

More information

Can Entrepreneurship Programs Transform the Economic Lives of the Poor?

Can Entrepreneurship Programs Transform the Economic Lives of the Poor? 1 Can Entrepreneurship Programs Transform the Economic Lives of the Poor? Oriana Bandiera (LSE) Robin Burgess (LSE) Selim Gulesci (LSE) Imran Rasul (UCL) Munshi Sulaiman (BRAC/LSE) IGC Growth Week, September

More information

Lecture 9: Keynesian Models

Lecture 9: Keynesian Models Lecture 9: Keynesian Models Professor Eric Sims University of Notre Dame Fall 2009 Sims (Notre Dame) Keynesian Fall 2009 1 / 23 Keynesian Models The de ning features of RBC models are: Markets clear Money

More information

Advanced Development Economics: Business Environment and Firm Performance. 20 October 2009

Advanced Development Economics: Business Environment and Firm Performance. 20 October 2009 Advanced Development Economics: Business Environment and Firm Performance Måns Söderbom 20 October 2009 1 Introduction Over the last two decades there have been radical changes in economic policy in many

More information

University of Saskatchewan Department of Economics Economics 414.3 Homework #1

University of Saskatchewan Department of Economics Economics 414.3 Homework #1 Homework #1 1. In 1900 GDP per capita in Japan (measured in 2000 dollars) was $1,433. In 2000 it was $26,375. (a) Calculate the growth rate of income per capita in Japan over this century. (b) Now suppose

More information

Does ICT Bene t the Poor? Evidence from South Africa

Does ICT Bene t the Poor? Evidence from South Africa Does ICT Bene t the Poor? Evidence from South Africa Stefan Klonner, Cornell University and J. W. Goethe Universität Patrick Nolen, University of Essex May 2008 Abstract: We study the economic e ects of

More information

CS&SS / STAT 566 CAUSAL MODELING

CS&SS / STAT 566 CAUSAL MODELING CS&SS / STAT 566 CAUSAL MODELING Instructor: Thomas Richardson E-mail: thomasr@u.washington.edu Lecture: MWF 2:30-3:20 SIG 227; WINTER 2016 Office hour: W 3.30-4.20 in Padelford (PDL) B-313 (or by appointment)

More information

The Role of Employee Stock Ownership Plans in Compensation Philosophy and. executive compensation arrangements

The Role of Employee Stock Ownership Plans in Compensation Philosophy and. executive compensation arrangements The Role of Employee Stock Ownership Plans in Compensation Philosophy and Executive Compensation Arrangements James F. Reda * Employee stock ownership plans, or ESOPs, have existed for more than 60 years

More information

Internal and External Validity

Internal and External Validity Internal and External Validity ScWk 240 Week 5 Slides (2 nd Set) 1 Defining Characteristics When research is designed to investigate cause and effect relationships (explanatory research) through the direct

More information

Advanced Research Methods. Instrumental variables (IV) Regression discontinuity design (RDD)

Advanced Research Methods. Instrumental variables (IV) Regression discontinuity design (RDD) Instrumental variables (IV) Regression discontinuity design (RDD) Lecture 2 INSTRUMENTAL VARIABLES (IV) EXAMPLE Consider once more your favourite training program for unemployed workers. Assume this time

More information

GLOSSARY OF EVALUATION TERMS

GLOSSARY OF EVALUATION TERMS Planning and Performance Management Unit Office of the Director of U.S. Foreign Assistance Final Version: March 25, 2009 INTRODUCTION This Glossary of Evaluation and Related Terms was jointly prepared

More information

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C.

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Do Self-Insurance and Disability Insurance Prevent Consumption Loss

More information

Renewable energy education for sustainable development

Renewable energy education for sustainable development Renewable Energy 22 (2001) 113±118 www.elsevier.com/locate/renene Renewable energy education for sustainable development Philip Jennings*, Chris Lund Australian Cooperative Research Centre for Renewable

More information

The Impact of Age Pension Eligibility Age on Retirement and Program Dependence: Evidence from an Australian Experiment

The Impact of Age Pension Eligibility Age on Retirement and Program Dependence: Evidence from an Australian Experiment The Impact of Age Pension Eligibility Age on Retirement and Program Dependence: Evidence from an Australian Experiment Kadir Atalay University of Sydney kadir.atalay@sydney.edu.au and Garry F. Barrett

More information

Is High School the Right Time to Teach Savings Behavior? The E ect of Financial Education and Mathematics Courses on Savings

Is High School the Right Time to Teach Savings Behavior? The E ect of Financial Education and Mathematics Courses on Savings Is High School the Right Time to Teach Savings Behavior? The E ect of Financial Education and Mathematics Courses on Savings Shawn Cole and Gauri Kartini Shastry December 2010 Abstract Household nancial

More information

World Bank Employment Policy Primer December 2009 No. 12

World Bank Employment Policy Primer December 2009 No. 12 World Bank Employment Policy Primer December 2009 No. 12 A PRACTICIONER S GUIDE TO EVALUATING THE IMPACTS OF LABOR MARKET PROGRAMS * 1. Introduction This note provides an introduction to the impact evaluation

More information

Say Pays! Shareholder Voice and Firm Performance

Say Pays! Shareholder Voice and Firm Performance Say Pays! Shareholder Voice and Firm Performance Vicente Cuñat The London School of Economics Mireia Gine University of Pennsylvania, WRDS and IESE Business School Maria Guadalupe 1 INSEAD, CEPR, IZA and

More information

Overview of the Clean Cooking Challenge

Overview of the Clean Cooking Challenge Overview of the Clean Cooking Challenge S.C. Bhattacharya President, International Energy Initiative Board member, World Bioenergy Association Adjunct Professor, IISWBM, Kolkata Presentation Outline 1.

More information

Empowering Girls. Rachel Glennerster Executive Director, J-PAL Department of Economics, MIT

Empowering Girls. Rachel Glennerster Executive Director, J-PAL Department of Economics, MIT Empowering Girls Rachel Glennerster Executive Director, J-PAL Department of Economics, MIT July 16, 2013 Overview Challenge and background Research design Kishoree Kontha program Results and implications

More information

Chapter 2. Dynamic panel data models

Chapter 2. Dynamic panel data models Chapter 2. Dynamic panel data models Master of Science in Economics - University of Geneva Christophe Hurlin, Université d Orléans Université d Orléans April 2010 Introduction De nition We now consider

More information

Methodological Briefs Impact Evaluation No. 8 Quasi-Experimental Design and Methods

Methodological Briefs Impact Evaluation No. 8 Quasi-Experimental Design and Methods Methodological Briefs Impact Evaluation No. 8 Quasi-Experimental Design and Methods Howard White and Shagun Sabarwal UNICEF OFFICE OF RESEARCH The Office of Research is UNICEF s dedicated research arm.

More information

The Wage E ects of Not-for-Pro t and For-Pro t. Certi cations: Better Data, Somewhat Di erent Results

The Wage E ects of Not-for-Pro t and For-Pro t. Certi cations: Better Data, Somewhat Di erent Results The Wage E ects of Not-for-Pro t and For-Pro t Certi cations: Better Data, Somewhat Di erent Results Kevin Lang and Russell Weinstein y 7th June 2013 Abstract Using the Beginning Postsecondary Student

More information

Child Support Demonstration Evaluation Cost-Benefit Analysis, September 1997-December 2004

Child Support Demonstration Evaluation Cost-Benefit Analysis, September 1997-December 2004 Child Support Demonstration Evaluation Cost-Benefit Analysis, September 1997-December 2004 Emma Caspar and Steven Cook Institute for Research on Poverty University of Wisconsin Madison March 2006 Report

More information

Missing data in randomized controlled trials (RCTs) can

Missing data in randomized controlled trials (RCTs) can EVALUATION TECHNICAL ASSISTANCE BRIEF for OAH & ACYF Teenage Pregnancy Prevention Grantees May 2013 Brief 3 Coping with Missing Data in Randomized Controlled Trials Missing data in randomized controlled

More information

Machine Learning and Econometrics. Hal Varian Jan 2014

Machine Learning and Econometrics. Hal Varian Jan 2014 Machine Learning and Econometrics Hal Varian Jan 2014 Definitions Machine learning, data mining, predictive analytics, etc. all use data to predict some variable as a function of other variables. May or

More information

Company Profile - GK Consulting, LLC

Company Profile - GK Consulting, LLC Company Profile - GK Consulting, LLC Background GK Consulting LLC is a female- owned and operated small business that specializes in social research and project management in international development

More information

The work by Campbell and others on validity and threats to validity within

The work by Campbell and others on validity and threats to validity within Chapter 5 Use a mixed-methods approach: The logic of the comparative advantages of methods The work by Campbell and others on validity and threats to validity within experiments and other types of evaluations

More information

College degree supply, productivity spillovers and occupational allocation of graduates in Central European countries

College degree supply, productivity spillovers and occupational allocation of graduates in Central European countries College degree supply, productivity spillovers and occupational allocation of graduates in Central European countries Barbara Gebicka CERGE-EI Anna Lovasz IE HAS June 2010 Abstract Public funding drives

More information

Randomized Controlled Experiments in Education

Randomized Controlled Experiments in Education European Expert Network on Economics of Education (EENEE) Randomized Controlled Experiments in Education EENEE Analytical Report No. 11 Prepared for the European Commission Adrien Bouguen and Marc Gurgand

More information

The challenges of improved cook stove promotion: Lessons from pilot programs in India

The challenges of improved cook stove promotion: Lessons from pilot programs in India 1 The challenges of improved cook stove promotion: Lessons from pilot programs in India Marc Jeuland (Work w/jessica Lewis, Subhrendu Pattanayak, Nina Brooks, Vasundhara Bhojvaid, Omkar Patange, and many

More information

The Effect of Tuition Fees on University Applications and Attendance: Evidence from the UK

The Effect of Tuition Fees on University Applications and Attendance: Evidence from the UK DISCUSSION PAPER SERIES IZA DP No. 8364 The Effect of Tuition Fees on University Applications and Attendance: Evidence from the UK Filipa Sá August 2014 Forschungsinstitut zur Zukunft der Arbeit Institute

More information

economic networks of the poor: wealth as a determinant of network structure

economic networks of the poor: wealth as a determinant of network structure economic networks of the poor: wealth as a determinant of network structure selim gulesci y october 2010 PRELIMINARY DRAFT Abstract This paper provides evidence on how the wealth of an agent a ects the

More information

DISCUSSION PAPER SERIES. No. 6059 USING RANDOMIZATION IN DEVELOPMENT ECONOMICS RESEARCH: A TOOLKIT

DISCUSSION PAPER SERIES. No. 6059 USING RANDOMIZATION IN DEVELOPMENT ECONOMICS RESEARCH: A TOOLKIT DISCUSSION PAPER SERIES No. 6059 USING RANDOMIZATION IN DEVELOPMENT ECONOMICS RESEARCH: A TOOLKIT Esther Duflo, Rachel Glennerster and Michael Kremer DEVELOPMENT ECONOMICS ABCD www.cepr.org Available online

More information

IPDET Module 6: Descriptive, Normative, and Impact Evaluation Designs

IPDET Module 6: Descriptive, Normative, and Impact Evaluation Designs IPDET Module 6: Descriptive, Normative, and Impact Evaluation Designs Intervention or Policy Evaluation Questions Design Questions Elements Types Key Points Introduction What Is Evaluation Design? Connecting

More information

When Credit Dries Up: Job Losses in the Great Recession

When Credit Dries Up: Job Losses in the Great Recession When Credit Dries Up: Job Losses in the Great Recession Samuel Bentolila CEMF Gabriel Jiménez Banco de España Marcel Jansen U. Autónoma de Madrid Sonia Ruano Banco de España Presentation at MéRA-AMSE Conference

More information

Online Reading Support London School of Economics Sandra McNally

Online Reading Support London School of Economics Sandra McNally Online Reading Support London School of Economics Sandra McNally Evaluation Summary Age range Primary (Year 1) Number of pupils c. 2700 Number of schools 60 Design Randomised controlled trial randomised

More information

Randomized Evaluations of Interventions in Social Service Delivery

Randomized Evaluations of Interventions in Social Service Delivery Randomized Evaluations of Interventions in Social Service Delivery By Esther Duflo, Rachel Glennerster, and Michael Kremer What is the most effective way to increase girls participation in school? How

More information

Why High-Order Polynomials Should Not be Used in Regression Discontinuity Designs

Why High-Order Polynomials Should Not be Used in Regression Discontinuity Designs Why High-Order Polynomials Should Not be Used in Regression Discontinuity Designs Andrew Gelman Guido Imbens 2 Aug 2014 Abstract It is common in regression discontinuity analysis to control for high order

More information

Intra-Household Allocations of Micro Health Insurance: No Adverse Selection After All? 1

Intra-Household Allocations of Micro Health Insurance: No Adverse Selection After All? 1 Chapter 3 Intra-Household Allocations of Micro Health Insurance: No Adverse Selection After All? 1 This chapter analyzes adverse selection in micro health insurance. Health insurance is typically family-based

More information

The E ects of Low Income Housing Developments on Neighborhoods

The E ects of Low Income Housing Developments on Neighborhoods The E ects of Low Income Housing Developments on Neighborhoods Nathaniel Baum-Snow - Brown University & NBER 1 Justin Marion - UC Santa Cruz April 2007 2 1 Corresponding Author 2 We thank participants

More information

THE ROLE OF INFORMATION AND SOCIAL INTERACTIONS IN RETIREMENT PLAN DECISIONS: EVIDENCE FROM A RANDOMIZED EXPERIMENT*

THE ROLE OF INFORMATION AND SOCIAL INTERACTIONS IN RETIREMENT PLAN DECISIONS: EVIDENCE FROM A RANDOMIZED EXPERIMENT* THE ROLE OF INFORMATION AND SOCIAL INTERACTIONS IN RETIREMENT PLAN DECISIONS: EVIDENCE FROM A RANDOMIZED EXPERIMENT* ESTHER DUFLO AND EMMANUEL SAEZ This paper analyzes a randomized experiment to shed light

More information

FOREIGN AFFAIRS PROGRAM EVALUATION GLOSSARY CORE TERMS

FOREIGN AFFAIRS PROGRAM EVALUATION GLOSSARY CORE TERMS Activity: A specific action or process undertaken over a specific period of time by an organization to convert resources to products or services to achieve results. Related term: Project. Appraisal: An

More information

The Effect of Peer-Based Financial Education on Financial Decision Making: Experimental Evidence for Foreign Domestic Workers in Singapore

The Effect of Peer-Based Financial Education on Financial Decision Making: Experimental Evidence for Foreign Domestic Workers in Singapore The Effect of Peer-Based Financial Education on Financial Decision Making: Experimental Evidence for Foreign Domestic Workers in Singapore April 2013 Motivation Literature FDWs in Singapore The Intervention

More information

DO THE POOREST AMONG THE POOR BENEFIT LESS FROM ACTIVE LABOR MARKET PROGRAMS? EVIDENCE FROM PERU S PROJOVEN

DO THE POOREST AMONG THE POOR BENEFIT LESS FROM ACTIVE LABOR MARKET PROGRAMS? EVIDENCE FROM PERU S PROJOVEN DO THE POOREST AMONG THE POOR BENEFIT LESS FROM ACTIVE LABOR MARKET PROGRAMS? EVIDENCE FROM PERU S PROJOVEN Miguel Jaramillo José Galdo Verónica Montalva Motivation There is increasing interest in program

More information

Professional Development Schools (PDS) Research Quality Coding Instrument Final Draft: 12/31/14

Professional Development Schools (PDS) Research Quality Coding Instrument Final Draft: 12/31/14 Coding Date: Coder: (first initial & last name) Professional Development Schools (PDS) Research Quality Coding Instrument Final Draft: 12/31/14 Codes: NA = Non Applicable (Leave Blank) = Missing Author(s):

More information

Application of sensitivity analysis in investment project evaluation under uncertainty and risk

Application of sensitivity analysis in investment project evaluation under uncertainty and risk International Journal of Project Management Vol. 17, No. 4, pp. 217±222, 1999 # 1999 Elsevier Science Ltd and IPMA. All rights reserved Printed in Great Britain 0263-7863/99 $ - see front matter PII: S0263-7863(98)00035-0

More information

Can Health Insurance Competition Work? Evidence from Medicare Advantage

Can Health Insurance Competition Work? Evidence from Medicare Advantage Can Health Insurance Competition Work? Evidence from Medicare Advantage Vilsa Curto, Liran Einav, Jonathan Levin, and Jay Bhattacharya y May 2015 Abstract. We estimate the economic surplus created by Medicare

More information

Identifying Moral Hazard in Car Insurance Contracts 1

Identifying Moral Hazard in Car Insurance Contracts 1 Identifying Moral Hazard in Car Insurance Contracts 1 Sarit Weisburd The Hebrew University June 6, 2012 1 I would like to thank Yehuda Shavit for his thoughtful advice on the nature of insurance data and

More information

A note on the impact of options on stock return volatility 1

A note on the impact of options on stock return volatility 1 Journal of Banking & Finance 22 (1998) 1181±1191 A note on the impact of options on stock return volatility 1 Nicolas P.B. Bollen 2 University of Utah, David Eccles School of Business, Salt Lake City,

More information

Statement of Work in a Solicitation for an External Evaluation of a Hypothetical AmeriCorps Program

Statement of Work in a Solicitation for an External Evaluation of a Hypothetical AmeriCorps Program Statement of Work in a Solicitation for an External Evaluation of a Hypothetical AmeriCorps Program SECTION 3 - DESCRIPTION/SPECIFICATIONS/STATEMENT OF WORK 3.1 PURPOSE The Cincinnati Community Center

More information

Impact of Business Training on the Success of Start-ups by Women Entrepreneurs in Lebanon

Impact of Business Training on the Success of Start-ups by Women Entrepreneurs in Lebanon Impact of Business Training on the Success of Start-ups by Women Entrepreneurs in Lebanon Khusrav Gaibulloev-UAE Zein Zabaneh- Jordan Benjamin kachero-uganda Mohammed Ben Hafoune- Morocco Rami Allow-Lebanon

More information

The Long-Term E ects of Early Track Choice

The Long-Term E ects of Early Track Choice The Long-Term E ects of Early Track Choice Christian Dustmann, Patrick A. Puhani and Uta Schönberg April 2, 2014 Abstract Despite its e ciency in tailoring education to the needs of students, a tracking

More information

Optimal insurance contracts with adverse selection and comonotonic background risk

Optimal insurance contracts with adverse selection and comonotonic background risk Optimal insurance contracts with adverse selection and comonotonic background risk Alary D. Bien F. TSE (LERNA) University Paris Dauphine Abstract In this note, we consider an adverse selection problem

More information

Randomization in Clinical Trials

Randomization in Clinical Trials in Clinical Trials Versio.0 May 2011 1. Simple 2. Block randomization 3. Minimization method Stratification RELATED ISSUES 1. Accidental Bias 2. Selection Bias 3. Prognostic Factors 4. Random selection

More information

Eight Recommendations to Improve Employee Engagement

Eight Recommendations to Improve Employee Engagement REWARD STRATEGY AND PRACTICE Eight Recommendations to Improve Employee Engagement Tom McMullen, Hay Group * To start, let's de ne employee engagement as the level of commitment that employees feel toward

More information

Journal rankings: see next pages

Journal rankings: see next pages Minimum hiring requirements for Assistant Professors in Economics (Ricercatore a tempo determinato - Tipo a), Facoltà di Economia, Università Cattolica del Sacro Cuore a. Candidates with less than three

More information

Empirical Methods for Corporate Finance

Empirical Methods for Corporate Finance USI Institute of Finance Empirical Methods for Corporate Finance Prof. Laurent Frésard University of Maryland (RH Smith School of Business) (lfresard@rhsmith.umd.edu) Course Objectives The objective of

More information

SCHOOL OF ECONOMICS AND MANAGEMENT

SCHOOL OF ECONOMICS AND MANAGEMENT SCHOOL OF ECONOMICS AND MANAGEMENT ECONOMICS WORKING PAPER 2008-14 Estimating the Effect of Student Aid on College Enrollment: Evidence from a Government Grant Policy Reform Helena Skyt Nielsen, Torben

More information

Does Conservation Targeting Work? Evidence from a Statewide Electricity Rebate Program in California

Does Conservation Targeting Work? Evidence from a Statewide Electricity Rebate Program in California Does Conservation Targeting Work? Evidence from a Statewide Electricity Rebate Program in California Koichiro Ito Stanford University December, 2012 Abstract Regulators often use conservation targeting

More information

From Pawn Shops to Banks: The Impact of Banco Azteca on Households Credit and Saving Decisions

From Pawn Shops to Banks: The Impact of Banco Azteca on Households Credit and Saving Decisions From Pawn Shops to Banks: The Impact of Banco Azteca on Households Credit and Saving Decisions Claudia Ruiz UCLA January 2010 Abstract This research examines the e ects of relaxing credit constraints on

More information

Housing Density and the Low-Income Housing Tax Credit

Housing Density and the Low-Income Housing Tax Credit Housing Density and the Low-Income Housing Tax Credit Bree J. Lang Xavier University Department of Economics Abstract Using data on construction in Los Angeles County between 1991 and 2007, this paper

More information

The Impact of Health Insurance Mandates on Drug Innovation: Evidence from the United States

The Impact of Health Insurance Mandates on Drug Innovation: Evidence from the United States The Impact of Health Insurance Mandates on Drug Innovation: Evidence from the United States Natalie Chun Asian Development Bank 6 ADB Avenue Mandaluyong City 1550 Philippines Minjung Park Haas School of

More information

Incorporation for Investment

Incorporation for Investment Incorporation for Investment Michael P. Devereux and Li Liu y Preliminary draft 26th June 2014 Abstract We estimate the causal e ect of corporation tax on small business incorporation and investment by

More information

Public Information and Coordination: Evidence from a Credit Registry Expansion

Public Information and Coordination: Evidence from a Credit Registry Expansion Public Information and Coordination: Evidence from a Credit Registry Expansion Andrew Hertzberg Jose Maria Liberti Daniel Paravisini October 2008 Abstract When agents have incentives to coordinate, actions

More information

Abstract Title Page. Title: Conditions for the Effectiveness of a Tablet-Based Algebra Program

Abstract Title Page. Title: Conditions for the Effectiveness of a Tablet-Based Algebra Program Abstract Title Page. Title: Conditions for the Effectiveness of a Tablet-Based Algebra Program Authors and Affiliations: Andrew P. Jaciw Megan Toby Boya Ma Empirical Education Inc. SREE Fall 2012 Conference

More information

Andhra Pradesh School Choice Project Proposal

Andhra Pradesh School Choice Project Proposal Andhra Pradesh School Choice Project Proposal 1. Background: In recent years, access to primary education has expanded tremendously in India and gender gaps have narrowed. Approximately 95% of both boys

More information

Module 223 Major A: Concepts, methods and design in Epidemiology

Module 223 Major A: Concepts, methods and design in Epidemiology Module 223 Major A: Concepts, methods and design in Epidemiology Module : 223 UE coordinator Concepts, methods and design in Epidemiology Dates December 15 th to 19 th, 2014 Credits/ECTS UE description

More information

ECONOMETRIC THEORY. MODULE I Lecture - 1 Introduction to Econometrics

ECONOMETRIC THEORY. MODULE I Lecture - 1 Introduction to Econometrics ECONOMETRIC THEORY MODULE I Lecture - 1 Introduction to Econometrics Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur 2 Econometrics deals with the measurement

More information

Estimating Switching Costs for Medicare Advantage Plans

Estimating Switching Costs for Medicare Advantage Plans Estimating Switching Costs for Medicare Advantage Plans Kathleen Nosal JOB MARKET PAPER This draft: October 2011 First draft: April 2009 Abstract Medicare eligibles have the option of choosing from a menu

More information

Which Comparison-Group ( Quasi-Experimental ) Study Designs Are Most Likely to Produce Valid Estimates of a Program s Impact?:

Which Comparison-Group ( Quasi-Experimental ) Study Designs Are Most Likely to Produce Valid Estimates of a Program s Impact?: Which Comparison-Group ( Quasi-Experimental ) Study Designs Are Most Likely to Produce Valid Estimates of a Program s Impact?: A Brief Overview and Sample Review Form Updated January 2014 This publication

More information

CEE DP 86. Studying Mobility:

CEE DP 86. Studying Mobility: ISSN 2045-6557 CEE DP 86 Studying abroad and the Effect on International Labour Market Mobility: Evidence from the Introduction of Erasmus Matthias Parey Fabian Waldinger August 2007 Published by Centre

More information

Selection on moral hazard in health insurance

Selection on moral hazard in health insurance Selection on moral hazard in health insurance Liran Einav, Amy Finkelstein, Stephen Ryan, Paul Schrimpf, and Mark Cullen y April 2011 Abstract. In this paper we explore the possibility that individuals

More information

Testing Social Policy Innovation. Primer for the training

Testing Social Policy Innovation. Primer for the training Testing Social Policy Innovation Primer for the training Last updated on 25 rd June 2014 Table of Contents Table of Contents... 2 Preface... 4 Introduction... 5 PART I - TESTING IN 7 STEPS... 6 Step 1

More information

Evaluations of Business Development Programmes Technical Annex

Evaluations of Business Development Programmes Technical Annex Evaluations of Business Development Programmes Technical Annex April 2015 Department of Jobs, Enterprise and Innovation An Roinn Post, Fiontar agus Nuálaíochta Strategic Policy Division TECHNICAL ANNEX

More information

Are We Wasting Our Children s Time by Giving Them More Homework?

Are We Wasting Our Children s Time by Giving Them More Homework? DISCUSSION PAPER SERIES IZA DP No. 5547 Are We Wasting Our Children s Time by Giving Them More Homework? Ozkan Eren Daniel J. Henderson March 2011 Forschungsinstitut zur Zukunft der Arbeit Institute for

More information