A Meta Analysis of U.S. Residential, Industrial, and Commercial Electricity Demand
|
|
|
- Tobias Darren Todd
- 8 years ago
- Views:
Transcription
1 A Meta Analysis of U.S. Residential, Industrial, and Commercial Electricity Demand Prepared for the 31 st st USAEE/IAEE North American Conference Nov. 7, 1 - Austin, Texas By Carol Dahl Division of Economics and Business Colorado School of Mines and Jason Jorgensen* and Fred Joutz Department of Economics The George Washington University * Jason Jorgensen is very grateful to the NCAC for their generous support to attend and present at the Conference.
2 Objective Carol Dahl has collected over 636 articles, papers, and books published since 1951 reporting electricity elasticity estimates. We analyze a portion of the database. This presentation only focuses on electric consumption in the U.S. She intends to maintain the database and make it publically available.
3 Objective The Electricity Database contains over 8,15 ownprice, cross-price, or income elasticities collected from around the world Table 1. Complete Electricity Elasticity Database Summary Article Count Elasticities Year Min Year Max Residential USA 157 1, Residential ALL 35, Industrial USA 1 1, Industrial ALL 6 3, Commercial USA Commercial ALL Total USA 65 3, Total ALL 636 8,
4 Our Analysis We conduct a simple meta-analysis of own-price and income elasticities by: o sector, o U.S. regions, o Publication decade, o econometric methodology, o Seasonal factors, and o Appliance indicators. The sample includes 3,33 own-price and income elasticities We eliminated 31 outliers from the analysis leaving us with a total of 3, elasticities used in our analysis. This was based on economic theory and statistical evidence assuming price elasticities are negative and the income elasticities are positive.
5 Summary of Data Table 1a. Summary of Initial Total Elasticities by Sector Price Short Run Price Long Run Income Short run Income Long run Total Product Obs. Obs. Obs. Obs. Obs. El c El i El r ,73 All 1,19 1, ,33 Table 1b. Summary of Adjusted Total Elasticities by Sector Price Short Run Price Long Run Income Short run Income Long run Total Product Obs. Obs. Obs. Obs. Obs. El c El i El r ,57 All 1,15 1, , Table 1c. Summary of Outlier Elasticities Removed Price Short Run Price Long Run Income Short run Income Long run Total Product Obs. Obs. Obs. Obs. Obs. El c El i 8 El r All
6 Results We present statistics for - Short-Run Own-Price Elasticities - Long-Run Own-Price Elasticities - Short-Run Income Elasticities - Long-Run Income Elasticities 6
7 Summary of Short Run Price Elasticities 7
8 Distribution of Results for 5 Short Run Price Elasticities El-c El-c El-i El-i Histogram Kernel Normal 8
9 Summary of Long Run Price Elasticities 9
10 Distribution of Results for 1.6 Long Run Price Elasticities El-c El-c El-i El-i Histogram Kernel Normal 1
11 Summary of Short Run Income Elasticities 11
12 Distribution of Results for Short Run Income Elasticities El-c 5 El-c El-i El-i Histogram Kernel Normal 1
13 Summary of Long Run Income Elasticities 13
14 Distribution of Results for Long Run Income Elasticities El-c 1.6 El-c El-i El-i Histogram Kernel Normal 1
15 Short Run Price Elasticities by Publication Decade Histogram Kernel Normal Histogram Kernel Normal Histogram Kernel Normal Histogram Kernel Normal 15
16 Long Run Price Elasticities by Publication Decade Histogram Kernel Normal Histogram Kernel Normal Histogram Kernel Normal Histogram Kernel Normal 16
17 Short Run Income Elasticities by Publication Decade 17
18 Long Run Income Elasticities by Publication Decade 18
19 Short Run Price Elasticities by Methodology 19
20 Distribution of Results for Short Run Price Elasticities by Methodology El-c, OLQ1P1Y1Png1FloorSpc1 El-i, LE El-i, TS-Other, LE , LE-OL-P1Y1, OL-Q1P1Y1Pop1Png Histogram Kernel Normal
21 Long Run Price Elasticities by Methodology 1
22 Distribution of Results for Long Run Price Elasticities by Methodology El-c, OLQ1P1Y1Png1FloorSpc1 El-i, LE El-i, TS-Other, LE , LE-OL-P1Y1, OL-Q1P1Y1Pop1Png Histogram Kernel Normal
23 Short Run Price Elasticities by Seasonal Factors 3
24 Long Run Price Elasticities by Seasonal Factors
25 Short Run Income Elasticities by Seasonal Factors 5
26 Long Run Income Elasticities by Seasonal Factors 6
27 Conclusions We evaluated 3, elasticities by Sector, Publishing Date, Methodology, and Seasonal Factors. Results show distributions are left skewed, elasticities become more inelastic over time, Further analysis to be done: o o o o With more in-depth analysis of regional U.S. elasticities International results Sample years Regression analysis The database contains results for other types of energy such as natural gas and crude. 7
28 Thank You! Comments and Questions are Welcome 8
29 Summary of Elasticities based on Product Table a. Short Run Price Elasticities by Product Table c. Short Run Income Elasticities by Product Table c. d. a. b. Short Run Long Run Income Price Elasticities by by Product Product Mean Median Max Min Std Dev Obs Product Mean Median Max Min Std Dev Obs El c El c Product Mean Median Max Min Std Dev Obs El i El i El r El r All ,15 All El c Table b. Long Run Price Elasticities by Product Table d. Long Run Income Elasticities by Product El i Product Mean Median Max Min Std Dev Obs Product Mean Median Max Min Std Dev Obs El c El c El r El i El i El r El r All ,15 1, All ,8 All
30 Distribution of Results for 5 Short Run Price Elasticities El-c El-c El-i El-i Histogram Kernel Normal 3
31 Distribution of Results for Long Run Price Elasticities PRICE_LR by PRODUCT_SIMPLE El-c PRICE_LR byproduct_simple El-c El-i El-i Histogram Kernel Normal
32 Short Run Price Elasticities by Methodology Table a. Short-Run Price Elasticities by Product and Methodology Within Time Series Equations Only Product Model Mean Median Max Min Std Dev Obs El-Com Dynamic-Other El-Com Lagged Endogenous (LE) El-Com Lagged Q(1)P(1)Y(1)Png(1)FloorSpc(1) El-Com Time Series-Other El-Com All El-Ind Dynamic-Other El-Ind Lagged Endogenous (LE) El-Ind Time Series-Other El-Ind All El-Res Dynamic-Other El-Res Error Correction Model (EMC) El-Res Lagged Endogenous (LE) El-Res LE-Lagged P(1)Y(1) El-Res Lagged Q(1)P(1)Y(1)Pop(1)Png(1) El-Res Time Series-Other El-Res Vector ECM El-Res All All Dynamic-Other All Error Correction Model (EMC) All Lagged Endogenous (LE) All LE-Lagged P(1)Y(1) All Lagged Q(1)P(1)Y(1)Png(1)FloorSpc(1) All Lagged Q(1)P(1)Y(1)Pop(1)Png(1) All Time Series-Other All Vector ECM All All Dynamic - Other includes lagged endogenous equations or other lagged variables not specifically listed above. Time Series - Other includes equations or methodologies that do not have enough unique observations and therefore need to be combined for ease of presentation. 3
An Econometric Assessment of Electricity Demand in the United States Using Panel Data and the Impact of Retail Competition on Prices
9 June 2015 An Econometric Assessment of Electricity Demand in the United States Using Panel Data and the Impact of Retail Competition on Prices By Dr. Agustin J. Ros This paper was originally presented
Regional Short-term Electricity Consumption Models
Regional Short-term Electricity Consumption Models Prepared for 25 th Annual North American Conference of the USAEE/IAEE, Denver September 18-21, 25 Frederick L. Joutz, Department of Economics The George
Estimates of the Price Elasticities of Natural Gas Supply and Demand in the United States
MPRA Munich Personal RePEc Archive Estimates of the Price Elasticities of Natural Gas Supply and Demand in the United States Vipin Arora 6. March 2014 Online at http://mpra.ub.uni-muenchen.de/54232/ MPRA
Regional Short-term Electricity Consumption Models
Regional Short-term Electricity Consumption Models Prepared for Brown Bag Seminar on Forecasting of the Federal Forecasters Consortium (FFC), in alliance with Research Program on Forecasting at The George
The price elasticity of electricity demand in South Australia
The price elasticity of electricity demand in South Australia Shu Fan and Rob Hyndman Business and Economic Forecasting Unit, Monash University, Clayton, Victoria 3168, Australia Email: Shu.fan@buseco.monash.edu.au;
Department of Econometrics and Business Statistics
ISSN 1440-771X Australia Department of Econometrics and Business Statistics http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/ The price elasticity of electricity demand in South Australia Shu Fan
THE 2013 HPS SALARY SURVEY
THE 2013 HPS SALARY SURVEY Stephen L. Bump Introduction The 2013 Health Physics Society (HPS) survey data was collected by having health physicists (HPs) submit their responses to survey questions on a
THE 2012 HPS SALARY SURVEY
THE 2012 HPS SALARY SURVEY Gary Lauten Introduction The 2012 Health Physics Society (HPS) survey data was collected by having health physicists (HPs) submit their responses to survey questions on a webbased
Determinants and development of electricity consumption of German households over time*
Determinants and development of electricity consumption of German households over time* *This is work in progress, please do not site without permission from the author. Dragana Nikodinoska 1 Abstract
Modelling and Forecasting Residential Electricity Consumption in the U.S. Mountain Region
Modelling and Forecasting Residential Electricity Consumption in the U.S. Mountain Region Jason B. Jorgensen The George Washington University Washington, DC 20052 USA Fred Joutz The George Washington University
2. Filling Data Gaps, Data validation & Descriptive Statistics
2. Filling Data Gaps, Data validation & Descriptive Statistics Dr. Prasad Modak Background Data collected from field may suffer from these problems Data may contain gaps ( = no readings during this period)
U.S. commercial electricity consumption
MPRA Munich Personal RePEc Archive U.S. commercial electricity consumption Sergio Contreras and Wm. Doyle Smith and Thomas M., Jr. Fullerton University of Texas at El Paso 11. January 2010 Online at http://mpra.ub.uni-muenchen.de/34855/
Price Responsiveness of the Deregulated Electricity Market in Singapore
Price Responsiveness of the Deregulated Electricity Market in Singapore Youngho Chang and Tuan Hin Tay National University of Singapore and Singapore Power July 8-10, 2004 Capital Hilton Hotel Washington,
The impact of energy prices on energy efficiency: Evidence from the UK refrigerator market
Presentation Toulouse, June 4, 2014 The impact of energy prices on energy efficiency: Evidence from the UK refrigerator market François Cohen*, Matthieu Glachant** and Magnus Söderberg** * GRI, LSE, **CERNA,
PRICE AND INCOME ELASTICITIES OF DEMAND FOR ENERGY. M. K. King, Public Policy Analysis Program, University of Rochester,USA
PRICE AND INCOME ELASTICITIES OF DEMAND FOR ENERGY M. K. King, Public Policy Analysis Program, University of Rochester,USA D. L. Weimer, Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison.,USA
2015-10-22 19:22:59 Report Generated: 10/22/2015 20:03 UTC. CPU Intel Xeon E5-2670 v2 2.50GHz Connections 1 Mean Jitter 10/22/15 1
2015-10-22 19:22:59 Report Generated: 10/22/2015 20:03 UTC Page 1 of 10 Provider Amazon Web Services Test Protocol TCP Mean Bandwidth Service Amazon EC2 Direction Up Median Bandwidth Region us-west-2 Duration
The Relationship between Electricity Prices and Electricity Demand, Economic Growth, and Employment DRAFT REPORT
The Relationship between Electricity Prices and Electricity Demand, Economic Growth, and Employment DRAFT REPORT Prepared for: Kentucky Department for Energy Development and Independence Coal Education
2. Descriptive statistics in EViews
2. Descriptive statistics in EViews Features of EViews: Data processing (importing, editing, handling, exporting data) Basic statistical tools (descriptive statistics, inference, graphical tools) Regression
Technical Efficiency Accounting for Environmental Influence in the Japanese Gas Market
Technical Efficiency Accounting for Environmental Influence in the Japanese Gas Market Sumiko Asai Otsuma Women s University 2-7-1, Karakida, Tama City, Tokyo, 26-854, Japan asai@otsuma.ac.jp Abstract:
Residential Energy Consumption: Longer Term Response to Climate Change
24 th USAEE/IAEE North American Conference July 8-10, 2004, Washington, DC Residential Energy Consumption: Longer Term Response to Climate Change Christian Crowley and Frederick L. Joutz GWU Department
Electric Utility Capacity Expansion: Its Implications for Customers and Stockholders
SPECIAL ISSUE Special Electricity Issue 983 Pages 1-11 Electric Utility Capacity Expansion: Its Implications for Customers and Stockholders by Stephen C. Peck (Electric Power Research Institute, Palo Alto,
Statewide Fuel Consumption Forecast Models
Statewide Fuel Consumption Forecast Models Washington State Department of Transportation Economic Analysis Work Group Participants: Washington State Department of Transportation, Washington State Office
U.S. Commercial Buildings Energy Consumption and Intensity Trends: A Decomposition Approach
U.S. Commercial Buildings Energy Consumption and Intensity Trends: A Decomposition Approach 31 st USAEE/IAEE North American Conference Behjat Hojjati, PhD Steve Wade, PhD November 5th, 2012 Austin, Texas
Regional Differences in the Price-Elasticity of Demand for Energy
National Renewable Energy Laboratory Innovation for Our Energy Future A national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Regional Differences in the Price-Elasticity
DISCUSSION PAPER. A Partial Adjustment Model of U.S. Electricity Demand by Region, Season, and Sector. Anthony Paul, Erica Myers, and Karen Palmer
DISCUSSION PAPER April 2009 RFF DP 08-50 A Partial Adjustment Model of U.S. Electricity Demand by Region, Season, and Sector Anthony Paul, Erica Myers, and Karen Palmer 1616 P St. NW Washington, DC 20036
INFRASTRUCTURE, SAFETY, AND ENVIRONMENT
INFRASTRUCTURE, SAFETY, AND ENVIRONMENT THE ARTS CHILD POLICY CIVIL JUSTICE EDUCATION ENERGY AND ENVIRONMENT This PDF document was made available from www.rand.org as a public service of the RAND Corporation.
Electricity Demand Analysis Using Cointegration and Error-Correction Models with Time Varying Parameters: The Mexican Case 1
Electricity Demand Analysis Using Cointegration and Error-Correction Models with Time Varying Parameters: The Mexican Case 1 Yoosoon Chang Department of Economics Rice University Eduardo Martinez-Chombo
Short-Run Drivers Response to Un unexpected Gasoline Price Spike
Short-run Driver Response to a Gasoline Price Spike: Evidence from San Diego, CA Andrew Narwold University of San Diego Dirk Yandell University of San Diego Drivers response to an unexpected gasoline price
seasonal causality in the energy commodities
PROFESSIONAL BRIEFING aestimatio, the ieb international journal of finance, 2011. 3: 02-9 2011 aestimatio, the ieb international journal of finance seasonal causality in the energy commodities Díaz Rodríguez,
ijcrb.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS AUGUST 2014 VOL 6, NO 4
RELATIONSHIP AND CAUSALITY BETWEEN INTEREST RATE AND INFLATION RATE CASE OF JORDAN Dr. Mahmoud A. Jaradat Saleh A. AI-Hhosban Al al-bayt University, Jordan ABSTRACT This study attempts to examine and study
The Relationship between Electricity Prices and Electricity Demand, Economic Growth, and Employment FINAL REPORT
The Relationship between Electricity Prices and Electricity Demand, Economic Growth, and Employment FINAL REPORT Prepared for: Kentucky Department for Energy Development and Independence Coal Education
THE EFFECT OF GASOLINE PRICES ON PUBLIC BUS RIDERSHIP IN INDIANA. Analysis and Research by Michael Hicks, Ph.D. - Dagney Faulk, Ph.D.
THE EFFECT OF GASOLINE PRICES ON PUBLIC BUS RIDERSHIP IN INDIANA Analysis and Research by Michael Hicks, Ph.D. - Dagney Faulk, Ph.D. Center for Business and Economic Research Ball State University, Muncie,
Time of use (TOU) electricity pricing study
Time of use (TOU) electricity pricing study Colin Smithies, Rob Lawson, Paul Thorsnes Motivation is a technological innovation: Smart meters Standard residential meters Don t have a clock Have to be read
Measuring the Effects of Ethanol and Flex-Fuel Vehicles on Brazilian Gasoline Supply & Demand
ES-1 Measuring the Effects of Ethanol and Flex-Fuel Vehicles on Brazilian Gasoline Supply & Demand A Simultaneous Equations Approach Justin Martinez Consultant EAI, Inc. Brazilian Flex Fuel Vehicles (1
SHORT RUN AND LONG RUN DYNAMICS OF RESIDENTIAL ELECTRICITY CONSUMPTION: HOMOGENEOUS AND HETEROGENEOUS PANEL ESTIMATIONS FOR OECD
Professor Faik BĐLGĐLĐ, PhD E-mail: fbilgili@erciyes.edu.tr Department of Economics, Faculty of Economics and Administrative Sciences, Erciyes University, Turkey Assistant Professor Yalçın PAMUK, PhD E-mail:
Gas Does Affect Oil. Evidence from Intraday Prices and Inventory Announcements. Marketa W. Halova & Robert Rosenman. Washington State University
Gas Does Affect Oil Evidence from Intraday Prices and Inventory Announcements Marketa W. Halova & Robert Rosenman Washington State University 06/19/13 Overview Question: Do events in the natural gas market
The UK betting and gaming market: estimating price elasticities of demand and understanding the use of promotions
The UK betting and gaming market: estimating price elasticities of demand and understanding the use of promotions A REPORT PREPARED FOR HM REVENUE AND CUSTOMS June 2014 Frontier Economics Ltd, London.
International Business & Economics Research Journal February 2007 Volume 6, Number 2
Independency Or Correlation? The GCC Stock Markets, Interest Rates, And Oil Prices: Against All Financial Rules Viviane Y. Naïmy, (Email: vnaimy@ndu.edu.lb), Notre Dame University, Lebanon ABSTRACT This
Follow Up Items from 1 st RAC Meeting
Follow Up Items from 1 st RAC Meeting Lou Lendman Budget Manager Rate Advisory Committee Distribution of Customers by Class Page 2 1 Distribution of Water Customers by Class SAWS and DSP (2013) Class SAWS
Incentive Pass-through for Residential Solar Systems in California
Incentive Pass-through for Residential Solar Systems in California C.G. Dong 1, Ryan Wiser 2, Varun Rai 1 1 University of Texas at Austin, 2 Lawrence Berkeley National Laboratory October 2014 This analysis
Application of Demand Analysis Framework to Understand the Price and Volume Movements of Exchange Traded Funds (ETFs)
Application of Demand Analysis Framework to Understand the Price and Volume Movements of Exchange Traded Funds (ETFs) Chengcheng Fei Department of Agricultural Economics Texas A&M University feiccheng@tamu.edu
Deliverability and Regional Pricing
Deliverability and Regional Pricing in U.S. Natural Gas Markets Stephen P. A. Brown and Mine K. Yücel Research Department Working Paper 080 Federal Reserve Bank of Dallas Deliverability and Regional Pricing
Model documentation for biomass, cellulosic biofuels, renewable and conventional electricity, natural gas and coal markets
November 2011 Model documentation for biomass, cellulosic biofuels, renewable and conventional electricity, natural gas and coal markets FAPRI MU Report #12 11 Providing objective analysis for over 25
U.S. Residential Mortgage Delinquency Rates Seasonally Adjusted Data, 1998Q2 to 2011Q1 Source: Mortgage Bankers Association / Haver Analytics
U.S. Residential Mortgage Delinquency Rates Seasonally Adjusted Data, 1998Q2 to 211Q1 3 2 2 1 1 Delinquency Rate (%) U.S. Residential Mortgage Foreclosure Rates Seasonally Adjusted Data, 1998Q2 to 211Q1
Chapter 7 Section 1 Homework Set A
Chapter 7 Section 1 Homework Set A 7.15 Finding the critical value t *. What critical value t * from Table D (use software, go to the web and type t distribution applet) should be used to calculate the
Demand, Supply and Elasticity
Demand, Supply and Elasticity CHAPTER 2 OUTLINE 2.1 Demand and Supply Definitions, Determinants and Disturbances 2.2 The Market Mechanism 2.3 Changes in Market Equilibrium 2.4 Elasticities of Supply and
The Relationship Between Crude Oil and Natural Gas Prices
The Relationship Between Crude Oil and Natural Gas Prices by Jose A. Villar Natural Gas Division Energy Information Administration and Frederick L. Joutz Department of Economics The George Washington University
Binlei Gong Jinhua Zhao Michigan State University
Binlei Gong Jinhua Zhao Michigan State University Renewable Portfolio Standards (RPS):ensures that a minimum amount of renewable electricity is included in the portfolio of electric-generating resources
How To Determine Crude Oil Consumption In India
Volume 7, Issue 10, April 2015 Determination of Crude Oil Consumption in India Dr. N.K.Dashora Guest Faculty Rajeev Gandhi Tribal University Udaipur Sunil Kumar Research scholar Pacific University, Udaipur
a. mean b. interquartile range c. range d. median
3. Since 4. The HOMEWORK 3 Due: Feb.3 1. A set of data are put in numerical order, and a statistic is calculated that divides the data set into two equal parts with one part below it and the other part
New Estimates of the Fraction of People Who Consume Current Income
New Estimates of the Fraction of People Who Consume Current Income Mark Senia Joe McGarrity Abstract: Using data from 1953-1986, Campbell and Mankiw (1989) estimate the fraction of consumers who consume
Empirical estimation of drug treatment costs in Portugal
Empirical estimation of drug treatment costs in Portugal Ricardo Gonçalves, Universidade Católica Portuguesa (Porto) Domingos Duran, SICAD Sofia N. Silva, Universidade Católica Portuguesa (Porto) Fátima
An Overview and Evaluation of Decision Tree Methodology
An Overview and Evaluation of Decision Tree Methodology ASA Quality and Productivity Conference Terri Moore Motorola Austin, TX terri.moore@motorola.com Carole Jesse Cargill, Inc. Wayzata, MN carole_jesse@cargill.com
Practical. I conometrics. data collection, analysis, and application. Christiana E. Hilmer. Michael J. Hilmer San Diego State University
Practical I conometrics data collection, analysis, and application Christiana E. Hilmer Michael J. Hilmer San Diego State University Mi Table of Contents PART ONE THE BASICS 1 Chapter 1 An Introduction
Unit root properties of natural gas spot and futures prices: The relevance of heteroskedasticity in high frequency data
DEPARTMENT OF ECONOMICS ISSN 1441-5429 DISCUSSION PAPER 20/14 Unit root properties of natural gas spot and futures prices: The relevance of heteroskedasticity in high frequency data Vinod Mishra and Russell
Section 3: Examining Center, Spread, and Shape with Box Plots
Section 3: Examining Center, Spread, and Shape with Box Plots Q32. So far with my examination of the data, most of the data seems to be skewed. Expenditure per student and revenue per student are both
Dark trading and price discovery
Dark trading and price discovery Carole Comerton-Forde University of Melbourne and Tālis Putniņš University of Technology, Sydney Market Microstructure Confronting Many Viewpoints 11 December 2014 What
Department of Economics Session 2012/2013. EC352 Econometric Methods. Solutions to Exercises from Week 10 + 0.0077 (0.052)
Department of Economics Session 2012/2013 University of Essex Spring Term Dr Gordon Kemp EC352 Econometric Methods Solutions to Exercises from Week 10 1 Problem 13.7 This exercise refers back to Equation
Exploring Interaction Between Bank Lending and Housing Prices in Korea
Exploring Interaction Between Bank Lending and Housing Prices in Korea A paper presented at the Housing Studies Association Conference 2012: How is the Housing System Coping? 18 20 April University of
ECONOMIC OUTLOOK: TEXAS AND THE AUSTIN REGION. Texas Office of the Governor Economic Development and Tourism Division
ECONOMIC OUTLOOK: TEXAS AND THE AUSTIN REGION Texas Office of the Governor Economic Development and Tourism Division Market Texas as a leading business location Advertising and business recruitment trips
Vector Time Series Model Representations and Analysis with XploRe
0-1 Vector Time Series Model Representations and Analysis with plore Julius Mungo CASE - Center for Applied Statistics and Economics Humboldt-Universität zu Berlin mungo@wiwi.hu-berlin.de plore MulTi Motivation
The Influence of Crude Oil Price on Chinese Stock Market
The Influence of Crude Oil Price on Chinese Stock Market Xiao Yun, Department of Economics Pusan National University 2,Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 609-735 REPUBLIC OF KOREA a101506e@nate.com
October 31, 2014. The effect of price on youth alcohol. consumption in Canada. Stephenson Strobel & Evelyn Forget. Introduction. Data and Methodology
October 31, 2014 Why should we care? Deaths 0 500 1000 1500 2000 2500 2000 2002 2004 2006 2008 2010 2012 Year Accidents (unintentional injuries) Intentional self-harm (suicide) Other causes of death Assault
T O P I C 1 2 Techniques and tools for data analysis Preview Introduction In chapter 3 of Statistics In A Day different combinations of numbers and types of variables are presented. We go through these
Impact Assessment of Time of Use Pricing for Electricity: Evidence from a Natural Experiment in Ontario
Impact Assessment of Time of Use Pricing for Electricity: Evidence from a Natural Experiment in Ontario Hyungkwan Kim * (kim1841@purdue.edu) Paul V. Preckel James S. Eales Douglas Gotham Andrew L. Liu
Household Adoption of Green Technologies: The Case of Chicago Rain Barrels
Household Adoption of Green Technologies: The Case of Chicago Rain Barrels Amy W. Ando and Luiz Freitas Dept. of Ag. and Consumer Econ. University of Illinois, Urbana- Champaign 1 The Rain Barrel Program
Risk and return (1) Class 9 Financial Management, 15.414
Risk and return (1) Class 9 Financial Management, 15.414 Today Risk and return Statistics review Introduction to stock price behavior Reading Brealey and Myers, Chapter 7, p. 153 165 Road map Part 1. Valuation
Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand
Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand Jonathan E. Hughes*, Christopher R. Knittel** and Daniel Sperling*** Understanding the sensitivity of gasoline demand to changes
17. Suppose demand is given by Q d = 400 15P + I, where Q d is quantity demanded, P is. I = 100, equilibrium quantity is A) 15 B) 20 C) 25 D) 30
Ch. 2 1. A relationship that shows the quantity of goods that consumers are willing to buy at different prices is the A) elasticity B) market demand curve C) market supply curve D) market equilibrium 2.
Revisiting Share Market Efficiency: Evidence from the New Zealand Australia, US and Japan Stock Indices
American Journal of Applied Sciences 2 (5): 996-1002, 2005 ISSN 1546-9239 Science Publications, 2005 Revisiting Share Market Efficiency: Evidence from the New Zealand Australia, US and Japan Stock Indices
RESPONSE TO PUB ORDER 117/06. PUB Order 117/06 Directive 6
RESPONSE TO PUB ORDER 117/06 PUB Order 117/06 Directive 6 6. Manitoba Hydro shall file a General Rate Application for the fiscal years 2007/08 and 2008/09 by no later than August 1, 2007 which shall include
CHAPTER 2 LOAD FORECAST
CHAPTER 2 LOAD 2.1 METHODS The Company uses two econometric models with an end-use orientation to forecast energy sales. The first is a customer class level model ( sales model ) and the second is an hourly
Factors Affecting Demand and Supply of Agricultural Real Estate Debt
Factors Affecting Demand and Supply of Agricultural Real Estate Debt Deborah K. Boyette and Fred C. White A market share analysis is undertaken to determine the contribution of the size of market effect,
MULTIPLE REGRESSIONS ON SOME SELECTED MACROECONOMIC VARIABLES ON STOCK MARKET RETURNS FROM 1986-2010
Advances in Economics and International Finance AEIF Vol. 1(1), pp. 1-11, December 2014 Available online at http://www.academiaresearch.org Copyright 2014 Academia Research Full Length Research Paper MULTIPLE
Managerial Economics & Business Strategy Chapter 8. Managing in Competitive, Monopolistic, and Monopolistically Competitive Markets
Managerial Economics & Business Strategy Chapter 8 Managing in Competitive, Monopolistic, and Monopolistically Competitive Markets I. Perfect Competition Overview Characteristics and profit outlook. Effect
Business Cycles and Natural Gas Prices
Department of Economics Discussion Paper 2004-19 Business Cycles and Natural Gas Prices Apostolos Serletis Department of Economics University of Calgary Canada and Asghar Shahmoradi Department of Economics
Lecture 1: Review and Exploratory Data Analysis (EDA)
Lecture 1: Review and Exploratory Data Analysis (EDA) Sandy Eckel seckel@jhsph.edu Department of Biostatistics, The Johns Hopkins University, Baltimore USA 21 April 2008 1 / 40 Course Information I Course
Regional payroll tax cuts and individual wages: Heterogeneous effects across education groups *
Regional payroll tax cuts and individual wages: Heterogeneous effects across education groups * Hildegunn E. Stokke Department of Economics, Norwegian University of Science and Technology hildegunnes@svt.ntnu.no
Q = ak L + bk L. 2. The properties of a short-run cubic production function ( Q = AL + BL )
Learning Objectives After reading Chapter 10 and working the problems for Chapter 10 in the textbook and in this Student Workbook, you should be able to: Specify and estimate a short-run production function
Shape of Data Distributions
Lesson 13 Main Idea Describe a data distribution by its center, spread, and overall shape. Relate the choice of center and spread to the shape of the distribution. New Vocabulary distribution symmetric
The Dynamics of Corporate Credit Spreads
The Dynamics of Corporate Credit Spreads Fred Joutz a, Sattar A. Mansi b and William F. Maxwell b Corresponding author: William Maxwell Texas Tech University College of Business Administration Box 4211
Competition between Railway Operators and Low Cost Carriers in Long-Distance Passenger Transport
Competition between Railway Operators and Low Cost Carriers in Long-Distance Passenger Transport ESMT Competition Analysis Hans W. Friederiszick December 3, 2009, ZEW Background and Motivation The EU Commission
info@eforenergy.org www.eforenergy.org ISSN nº
info@eforenergy.org www.eforenergy.org ISSN nº Estimation of Elasticity Price of Electricity with Incomplete Information Xavier Labandeira a,b *, José M. Labeaga c,d and Xiral López-Otero a a Rede, Universidade
Conference Paper Complement or substitute? The internet as an advertising channel, evidence on advertisers on the Italian market, 2005-2009
econstor www.econstor.eu Der Open-Access-Publikationsserver der ZBW Leibniz-Informationszentrum Wirtschaft The Open Access Publication Server of the ZBW Leibniz Information Centre for Economics Gambaro,
Electricity Prices, Income and Residential Electricity Consumption
Electricity Prices, Income and Residential Electricity Consumption Yanming Sun School of Urban and Regional Science East China Normal University August, 2015 Dr. Yanming Sun School of Urban and Regional
Exploring Nursing Cost Using Patient Level Data. Peggy Jenkins, PhD RN
Exploring Nursing Cost Using Patient Level Data Peggy Jenkins, PhD RN Disclosure-Dr. Peggy Jenkins Learning Objective-Understand direct nursing cost per patient. I have no conflict of interest. Employer-VHA
Demand for Ethanol in the Face of Blend Wall: Is it a Complement or a Substitute for Conventional Transportation Fuel in the United States?
Demand for Ethanol in the Face of Blend Wall: Is it a Complement or a Substitute for Conventional Transportation Fuel in the United States? Zidong Wang Department of Agricultural Economics Texas A&M University
$808 million Emerson s. 9,066 number of Engineering & 32%... new products as percent of. 1,646 new patents earned in 2012
Emerson At-A-Glance US $24.4 Billion in Sales Headquarters in St. Louis, Missouri USA NYSE: EMR Diversified global manufacturer and technology provider Approximately 135,000 employees worldwide Manufacturing
US Natural Gas Price Determination: Fundamentals and the Development of Shale. Seth Wiggins. Division of Resource Management. West Virginia University
US Natural Gas Price Determination: Fundamentals and the Development of Shale Seth Wiggins Division of Resource Management West Virginia University Morgantown, West Virginia E-mail: Sewiggins@mix.wvu.edu
Predicting California Demand Response How do customers react to hourly prices?
Predicting California Demand Response How do customers react to hourly prices? BY CHRIS S. KING AND SANJOY CHATTERJEE As California embarks on a Statewide Pricing Pilot (SPP) for residential and small
Do Heating Oil Prices Adjust Asymmetrically To Changes In Crude Oil Prices Paul Berhanu Girma, State University of New York at New Paltz, USA
Do Heating Oil Prices Adjust Asymmetrically To Changes In Crude Oil Prices Paul Berhanu Girma, State University of New York at New Paltz, USA ABSTRACT This study investigated if there is an asymmetric
A Fuel Cost Comparison of Electric and Gas-Powered Vehicles
$ / gl $ / kwh A Fuel Cost Comparison of Electric and Gas-Powered Vehicles Lawrence V. Fulton, McCoy College of Business Administration, Texas State University, lf25@txstate.edu Nathaniel D. Bastian, University
Data mining as a tool of revealing the hidden connection of the plant
Data mining as a tool of revealing the hidden connection of the plant Honeywell AIDA Advanced Interactive Data Analysis Introduction What is AIDA? AIDA: Advanced Interactive Data Analysis Developped in
Center: Finding the Median. Median. Spread: Home on the Range. Center: Finding the Median (cont.)
Center: Finding the Median When we think of a typical value, we usually look for the center of the distribution. For a unimodal, symmetric distribution, it s easy to find the center it s just the center
Predicting Health Care Costs by Two-part Model with Sparse Regularization
Predicting Health Care Costs by Two-part Model with Sparse Regularization Atsuyuki Kogure Keio University, Japan July, 2015 Abstract We consider the problem of predicting health care costs using the two-part
THE IMPACT OF EXCHANGE RATE VOLATILITY ON BRAZILIAN MANUFACTURED EXPORTS
THE IMPACT OF EXCHANGE RATE VOLATILITY ON BRAZILIAN MANUFACTURED EXPORTS ANTONIO AGUIRRE UFMG / Department of Economics CEPE (Centre for Research in International Economics) Rua Curitiba, 832 Belo Horizonte
Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools
Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools Occam s razor.......................................................... 2 A look at data I.........................................................
EMPIRICAL RISK MINIMIZATION FOR CAR INSURANCE DATA
EMPIRICAL RISK MINIMIZATION FOR CAR INSURANCE DATA Andreas Christmann Department of Mathematics homepages.vub.ac.be/ achristm Talk: ULB, Sciences Actuarielles, 17/NOV/2006 Contents 1. Project: Motor vehicle
Demand Forecasts. Contents. 1. Overview APPENDIX H
APPENDIX H Demand Forecasts Contents 1. Overview... H-1 2. Methodology... H-2 3. Key Assumptions... H-12 4. Electric and Gas Demand Forecasts... H-16 Demand forecasts are an estimate of how much energy
ESTIMATING AVERAGE TREATMENT EFFECTS: IV AND CONTROL FUNCTIONS, II Jeff Wooldridge Michigan State University BGSE/IZA Course in Microeconometrics
ESTIMATING AVERAGE TREATMENT EFFECTS: IV AND CONTROL FUNCTIONS, II Jeff Wooldridge Michigan State University BGSE/IZA Course in Microeconometrics July 2009 1. Quantile Treatment Effects 2. Control Functions