LAMPIRAN. Sumber: Hasil Pengolahan dengan EViews 6.0.
|
|
|
- Hubert Carpenter
- 7 years ago
- Views:
Transcription
1 85 LAMPIRAN Lampiran 1 Hasil Output EViews 6.0 untuk Matriks Koefisien Korelasi antar Variabel Independen Correlation FDI GFCF LNLF NX DKRISIS FDI GFCF LNLF NX DKRISIS
2 86 Lampiran 2 Hasil Output EViews 6.0 estimasi dengan Pooled Least Square Model Method: Panel Least Squares Date: 11/27/11 Time: 08:35 C FDI GFCF LNLF NX DKRISIS R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood Hannan-Quinn criter F-statistic Durbin-Watson stat
3 87 Lampiran 3 Hasil Output EViews 6.0 estimasi dengan Fixed Effect Model Method: Panel Least Squares Date: 11/27/11 Time: 08:43 C FDI GFCF LNLF NX DKRISIS Cross-section fixed (dummy variables) R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood Hannan-Quinn criter F-statistic Durbin-Watson stat Lampiran 4 Hasil Output EViews 6.0 Chow Test Redundant Fixed Effects Tests Equation: FIXED Test cross-section fixed effects Effects Test Statistic d.f. Prob. Cross-section F (9,285) Cross-section Chi-square
4 88 Lampiran 5 Hasil Output EViews 6.0 estimasi dengan Random Effect Model Method: Panel EGLS (Cross-section random effects) Date: 11/27/11 Time: 08:45 Swamy and Arora estimator of component variances C FDI GFCF LNLF NX DKRISIS S.D. Rho Cross-section random Idiosyncratic random Weighted Statistics R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Sum squared resid F-statistic Durbin-Watson stat Unweighted Statistics R-squared Mean dependent var Sum squared resid Durbin-Watson stat Lampiran 6 Hasil Output EViews 6.0 Hausman Test Correlated Random Effects - Hausman Test Equation: RANDOM Test cross-section random effects Test Summary Chi-Sq. Statistic Chi-Sq. d.f. Prob. Cross-section random
5 89 Lampiran 7 Hasil Output EViews 6.0 estimasi dengan Fixed Effect Model GLS Weights Cross-section weight Method: Panel EGLS (Cross-section weights) Date: 11/26/11 Time: 11:07 Linear estimation after one-step weighting matrix C FDI GFCF LNLF NX DKRISIS Cross-section fixed (dummy variables) Weighted Statistics R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Sum squared resid F-statistic Durbin-Watson stat Unweighted Statistics R-squared Mean dependent var Sum squared resid Durbin-Watson stat
6 90 Lampiran 8 Hasil Output EViews 6.0 estimasi dengan Fixed Effect Model GLS Weights Cross-section SUR Method: Panel EGLS (Cross-section SUR) Date: 11/26/11 Time: 11:07 Linear estimation after one-step weighting matrix C FDI GFCF LNLF NX DKRISIS Cross-section fixed (dummy variables) Weighted Statistics R-squared Mean dependent var Adjusted R-squared S.D. dependent var S.E. of regression Sum squared resid F-statistic Durbin-Watson stat Unweighted Statistics R-squared Mean dependent var Sum squared resid Durbin-Watson stat
Forecasting the US Dollar / Euro Exchange rate Using ARMA Models
Forecasting the US Dollar / Euro Exchange rate Using ARMA Models LIUWEI (9906360) - 1 - ABSTRACT...3 1. INTRODUCTION...4 2. DATA ANALYSIS...5 2.1 Stationary estimation...5 2.2 Dickey-Fuller Test...6 3.
IMPACT OF WORKING CAPITAL MANAGEMENT ON PROFITABILITY
IMPACT OF WORKING CAPITAL MANAGEMENT ON PROFITABILITY Hina Agha, Mba, Mphil Bahria University Karachi Campus, Pakistan Abstract The main purpose of this study is to empirically test the impact of working
Determinants of Stock Market Performance in Pakistan
Determinants of Stock Market Performance in Pakistan Mehwish Zafar Sr. Lecturer Bahria University, Karachi campus Abstract Stock market performance, economic and political condition of a country is interrelated
2. Linear regression with multiple regressors
2. Linear regression with multiple regressors Aim of this section: Introduction of the multiple regression model OLS estimation in multiple regression Measures-of-fit in multiple regression Assumptions
Competition as an Effective Tool in Developing Social Marketing Programs: Driving Behavior Change through Online Activities
Competition as an Effective Tool in Developing Social Marketing Programs: Driving Behavior Change through Online Activities Corina ŞERBAN 1 ABSTRACT Nowadays, social marketing practices represent an important
Air passenger departures forecast models A technical note
Ministry of Transport Air passenger departures forecast models A technical note By Haobo Wang Financial, Economic and Statistical Analysis Page 1 of 15 1. Introduction Sine 1999, the Ministry of Business,
The Impact of Privatization in Insurance Industry on Insurance Efficiency in Iran
The Impact of Privatization in Insurance Industry on Insurance Efficiency in Iran Shahram Gilaninia 1, Hosein Ganjinia, Azadeh Asadian 3 * 1. Department of Industrial Management, Islamic Azad University,
Applied Econometrics and International Development Vol. 12-1 (2012)
MERCHANDISE EXPORT DEMAND FUNCTION FOR EGYPT: A PANEL DATA ANALYSIS IBRAHIM, Mohamed Abbas 1 Abstract This study empirically estimates the critical parameters of merchandise export demand function for
Chapter 6: Multivariate Cointegration Analysis
Chapter 6: Multivariate Cointegration Analysis 1 Contents: Lehrstuhl für Department Empirische of Wirtschaftsforschung Empirical Research and und Econometrics Ökonometrie VI. Multivariate Cointegration
Effect of Working Capital Management on Corporate Performance: Cross-Sectional Evidence from Nigeria
IOSR Journal of Business and Management (IOSR-JBM) e-issn: 2278-487X, p-issn: 2319-7668. Volume 17, Issue 2.Ver. III (Feb. 2015), PP 93-103 www.iosrjournals.org Effect of Working Capital Management on
The relationship between stock market parameters and interbank lending market: an empirical evidence
Magomet Yandiev Associate Professor, Department of Economics, Lomonosov Moscow State University mag2097@mail.ru Alexander Pakhalov, PG student, Department of Economics, Lomonosov Moscow State University
Correlation of International Stock Markets Before and During the Subprime Crisis
173 Correlation of International Stock Markets Before and During the Subprime Crisis Ioana Moldovan 1 Claudia Medrega 2 The recent financial crisis has spread to markets worldwide. The correlation of evolutions
European Journal of Business and Management ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.5, No.30, 2013
The Impact of Stock Market Liquidity on Economic Growth in Jordan Shatha Abdul-Khaliq Assistant Professor,AlBlqa Applied University, Jordan * E-mail of the corresponding author: yshatha@gmail.com Abstract
1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96
1 Final Review 2 Review 2.1 CI 1-propZint Scenario 1 A TV manufacturer claims in its warranty brochure that in the past not more than 10 percent of its TV sets needed any repair during the first two years
UK GDP is the best predictor of UK GDP, literally.
UK GDP IS THE BEST PREDICTOR OF UK GDP, LITERALLY ERIK BRITTON AND DANNY GABAY 6 NOVEMBER 2009 UK GDP is the best predictor of UK GDP, literally. The ONS s preliminary estimate of UK GDP for the third
Forecasting Using Eviews 2.0: An Overview
Forecasting Using Eviews 2.0: An Overview Some Preliminaries In what follows it will be useful to distinguish between ex post and ex ante forecasting. In terms of time series modeling, both predict values
Time Series Analysis
Time Series Analysis Forecasting with ARIMA models Andrés M. Alonso Carolina García-Martos Universidad Carlos III de Madrid Universidad Politécnica de Madrid June July, 2012 Alonso and García-Martos (UC3M-UPM)
Chapter 10: Basic Linear Unobserved Effects Panel Data. Models:
Chapter 10: Basic Linear Unobserved Effects Panel Data Models: Microeconomic Econometrics I Spring 2010 10.1 Motivation: The Omitted Variables Problem We are interested in the partial effects of the observable
On the Degree of Openness of an Open Economy Carlos Alfredo Rodriguez, Universidad del CEMA Buenos Aires, Argentina
On the Degree of Openness of an Open Economy Carlos Alfredo Rodriguez, Universidad del CEMA Buenos Aires, Argentina car@cema.edu.ar www.cema.edu.ar\~car Version1-February 14,2000 All data can be consulted
Multiple Regression in SPSS This example shows you how to perform multiple regression. The basic command is regression : linear.
Multiple Regression in SPSS This example shows you how to perform multiple regression. The basic command is regression : linear. In the main dialog box, input the dependent variable and several predictors.
Stock Markets Correlation: before and during the Crisis Analysis *
Theoretical and Applied Economics Volume XVIII (2011), No. 8(561), pp. 111-122 Stock Markets Correlation: before and during the Crisis Analysis * Ioana MOLDOVAN Bucharest Academy of Economic Studies ioana.moldovan@economie.ase.ro
Exploring Changes in the Labor Market of Health Care Service Workers in Texas and the Rio Grande Valley I. Introduction
Ina Ganguli ENG-SCI 103 Final Project May 16, 2007 Exploring Changes in the Labor Market of Health Care Service Workers in Texas and the Rio Grande Valley I. Introduction The shortage of healthcare workers
Firm characteristics. The current issue and full text archive of this journal is available at www.emeraldinsight.com/0307-4358.htm
The current issue and full text archive of this journal is available at www.emeraldinsight.com/0307-4358.htm How firm characteristics affect capital structure: an empirical study Nikolaos Eriotis National
2. Linearity (in relationships among the variables--factors are linear constructions of the set of variables) F 2 X 4 U 4
1 Neuendorf Factor Analysis Assumptions: 1. Metric (interval/ratio) data. Linearity (in relationships among the variables--factors are linear constructions of the set of variables) 3. Univariate and multivariate
Competition Strategies between Five Cell Phone Service Providers in Pakistan
Competition Strategies between Five Cell Phone Service Providers in Pakistan Dr. Rukhsar Ahmed 1 and Atif Hassan 2 1 Professor and Dean, Preston University Karachi, Pakistan 2 PhD Management Scholar, Ifugao
Project Finance: Determinants of the Bank Loan Spread
International Journal of Business and Social Science Vol. 5, No. 5; April 2014 Project Finance: Determinants of the Bank Loan Spread Neila BOUZGUENDA PhD in Finance Ecole Supérieure de Commerce (ESC) La
The Pecking Order Theory and the Static Trade Off Theory: Comparison of the Alternative Explanatory Power in French Firms
Journal of Business Studies Quarterly 2012, Vol. 4, No. 1, pp. 1-14 ISSN 2152-1034 The Pecking Order Theory and the Static Trade Off Theory: Comparison of the Alternative Explanatory Power in French Firms
Source engine marketing: A preliminary empirical analysis of web search data
Source engine marketing: A preliminary empirical analysis of web search data ABSTRACT Bruce Q. Budd Alfaisal University The purpose of this paper is to empirically investigate a website performance and
What drove Irish Government bond yields during the crisis?
What drove Irish Government bond yields during the crisis? David Purdue and Rossa White, September 2014 1. Introduction The Irish Government bond market has been exceptionally volatile in the seven years
Correlated Random Effects Panel Data Models
INTRODUCTION AND LINEAR MODELS Correlated Random Effects Panel Data Models IZA Summer School in Labor Economics May 13-19, 2013 Jeffrey M. Wooldridge Michigan State University 1. Introduction 2. The Linear
The Global Financial Crisis and the Role of Ownership Structure on Cost of Capital
1 The Global Financial Crisis and the Role of Ownership Structure on Cost of Capital Salman Afkhami Rad* 1, Stuart Locke* and Krishna Reddy* * Department of Finance, Waikato Management School, the University
THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT
THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT Human Capital Efficiency and Corporate Performance: The Nigerian Perspective Kwarbai Jerry Danjuma Ph.D. Student, Department of Accounting, Babcock University,
SIMPLE LINEAR CORRELATION. r can range from -1 to 1, and is independent of units of measurement. Correlation can be done on two dependent variables.
SIMPLE LINEAR CORRELATION Simple linear correlation is a measure of the degree to which two variables vary together, or a measure of the intensity of the association between two variables. Correlation
SPSS Resources. 1. See website (readings) for SPSS tutorial & Stats handout
Analyzing Data SPSS Resources 1. See website (readings) for SPSS tutorial & Stats handout Don t have your own copy of SPSS? 1. Use the libraries to analyze your data 2. Download a trial version of SPSS
ECONOMETRIC STUDY OF TIME USE AND SCORES IN ONLINE MBA STATISTICS CLASS: A GENDER ANALYSIS
Page 59 ECONOMETRIC STUDY OF TIME USE AND SCORES IN ONLINE MBA STATISTICS CLASS: A GENDER ANALYSIS Kishor K. Guru-Gharana, Texas A & M University-Commerce Jennifer Flanagan, Texas A & M University-Commerce
The impact of working capital on the value of the company in light of differing size, growth, and debt
Peer-reviewed and Open access journal ISSN: 1804-1205 www.academicpublishingplatforms.com BEH - Volume 7 Issue 1 June 2012 pp. 27-41 The impact of working capital on the value of the company in light of
Sample Size Calculation for Longitudinal Studies
Sample Size Calculation for Longitudinal Studies Phil Schumm Department of Health Studies University of Chicago August 23, 2004 (Supported by National Institute on Aging grant P01 AG18911-01A1) Introduction
Chapter 13 Introduction to Linear Regression and Correlation Analysis
Chapter 3 Student Lecture Notes 3- Chapter 3 Introduction to Linear Regression and Correlation Analsis Fall 2006 Fundamentals of Business Statistics Chapter Goals To understand the methods for displaing
Intertemporal Effects of Online Advertising Channels on Customers
International Journal of Business and Social Science Vol. 5, No. 9; August 2014 Intertemporal Effects of Online Advertising Channels on Customers Mohammad Almotairi Department of Marketing College of Business
PARTNERSHIP IN SOCIAL MARKETING PROGRAMS. SOCIALLY RESPONSIBLE COMPANIES AND NON-PROFIT ORGANIZATIONS ENGAGEMENT IN SOLVING SOCIETY S PROBLEMS
PARTNERSHIP IN SOCIAL MARKETING PROGRAMS. SOCIALLY RESPONSIBLE COMPANIES AND NON-PROFIT ORGANIZATIONS ENGAGEMENT IN SOLVING SOCIETY S PROBLEMS Corina Şerban The Bucharest Academy of Economic Studies, Romania
MARKETING COMMUNICATION IN ONLINE SOCIAL PROGRAMS: OHANIAN MODEL OF SOURCE CREDIBILITY
MARKETING COMMUNICATION IN ONLINE SOCIAL PROGRAMS: OHANIAN MODEL OF SOURCE CREDIBILITY Serban Corina The Bucharest Academy of Economic Studies The Faculty of Marketing The development of the Internet as
Chapter 2 Regression Analysis and Forecasting Models
Chapter 2 Regression Analysis and Forecasting Models A forecast is merely a prediction about the future values of data. However, most extrapolative model forecasts assume that the past is a proxy for the
Didacticiel - Études de cas
1 Topic Regression analysis with LazStats (OpenStat). LazStat 1 is a statistical software which is developed by Bill Miller, the father of OpenStat, a wellknow tool by statisticians since many years. These
3.1 Stationary Processes and Mean Reversion
3. Univariate Time Series Models 3.1 Stationary Processes and Mean Reversion Definition 3.1: A time series y t, t = 1,..., T is called (covariance) stationary if (1) E[y t ] = µ, for all t Cov[y t, y t
Price volatility in the silver spot market: An empirical study using Garch applications
Price volatility in the silver spot market: An empirical study using Garch applications ABSTRACT Alan Harper, South University Zhenhu Jin Valparaiso University Raufu Sokunle UBS Investment Bank Manish
Performing Unit Root Tests in EViews. Unit Root Testing
Página 1 de 12 Unit Root Testing The theory behind ARMA estimation is based on stationary time series. A series is said to be (weakly or covariance) stationary if the mean and autocovariances of the series
Effects of bank mergers and acquisitions on small business lending in Nigeria
African Journal of Business Management Vol.2 (9), pp. 146-156, September 2008 Available online at http://www.academicjournals.org/ajbm ISSN 1993-8233 2008 Academic Journals Full Length Research Paper Effects
COURSES: 1. Short Course in Econometrics for the Practitioner (P000500) 2. Short Course in Econometric Analysis of Cointegration (P000537)
Get the latest knowledge from leading global experts. Financial Science Economics Economics Short Courses Presented by the Department of Economics, University of Pretoria WITH 2015 DATES www.ce.up.ac.za
The Relationship between Life Insurance and Economic Growth: Evidence from India
Global Journal of Management and Business Studies. ISSN 2248-9878 Volume 3, Number 4 (2013), pp. 413-422 Research India Publications http://www.ripublication.com/gjmbs.htm The Relationship between Life
STATISTICA Formula Guide: Logistic Regression. Table of Contents
: Table of Contents... 1 Overview of Model... 1 Dispersion... 2 Parameterization... 3 Sigma-Restricted Model... 3 Overparameterized Model... 4 Reference Coding... 4 Model Summary (Summary Tab)... 5 Summary
THE IMPACT OF COMPANY INCOME TAX AND VALUE-ADDED TAX ON ECONOMIC GROWTH: EVIDENCE FROM NIGERIA
THE IMPACT OF COMPANY INCOME TAX AND VALUE-ADDED TAX ON ECONOMIC GROWTH: EVIDENCE FROM NIGERIA Dr. Lyndon M. Etale and Dr. Paymaster F. Bingilar Department of Finance and Accountancy, Faculty of Management
Overview Classes. 12-3 Logistic regression (5) 19-3 Building and applying logistic regression (6) 26-3 Generalizations of logistic regression (7)
Overview Classes 12-3 Logistic regression (5) 19-3 Building and applying logistic regression (6) 26-3 Generalizations of logistic regression (7) 2-4 Loglinear models (8) 5-4 15-17 hrs; 5B02 Building and
STAFF WORKING PAPER. The Relationship between Sustainable Growth and the Riskfree Rate: Evidence from UK Government Gilts. Staff Working Paper 2012.
STAFF WORKING PAPER The Relationship between Sustainable Growth and the Riskfree Rate: Evidence from UK Government Gilts Staff Working Paper 2012.1 Andrew Lilico & Stefano Ficco January 2012 FOREWORD Europe
The role of the banking sector in enhancing extractive industries in Sudan
UNCTAD 17th Africa OILGASMINE, Khartoum, 23-26 November 2015 Extractive Industries and Sustainable Job Creation The role of the banking sector in enhancing extractive industries in Sudan By Dr Mustafa
4. There are no dependent variables specified... Instead, the model is: VAR 1. Or, in terms of basic measurement theory, we could model it as:
1 Neuendorf Factor Analysis Assumptions: 1. Metric (interval/ratio) data 2. Linearity (in the relationships among the variables--factors are linear constructions of the set of variables; the critical source
DETERMINANTS OF CAPITAL ADEQUACY RATIO IN SELECTED BOSNIAN BANKS
DETERMINANTS OF CAPITAL ADEQUACY RATIO IN SELECTED BOSNIAN BANKS Nađa DRECA International University of Sarajevo nadja.dreca@students.ius.edu.ba Abstract The analysis of a data set of observation for 10
The Effect of Seasonality in the CPI on Indexed Bond Pricing and Inflation Expectations
The Effect of Seasonality in the CPI on Indexed Bond Pricing and Inflation Expectations Roy Stein* *Research Department, Roy Stein roy.stein@boi.org.il, tel: 02-6552559 This research was partially supported
5. Multiple regression
5. Multiple regression QBUS6840 Predictive Analytics https://www.otexts.org/fpp/5 QBUS6840 Predictive Analytics 5. Multiple regression 2/39 Outline Introduction to multiple linear regression Some useful
Monitoring web traffic source effectiveness with Google Analytics An experiment with time series
The current issue and full text archive of this journal is available at wwwemeraldinsightcom/0001-253xhtm AP 474 Received 9 July 2008 Revised 21 January 2009 Accepted 6 February 2009 Monitoring web traffic
TIME SERIES ANALYSIS OF CHINA S EXTERNAL DEBT COMPONENTS, FOREIGN EXCHANGE RESERVES AND ECONOMIC GROWTH RATES. Hüseyin Çetin
TIME SERIES ANALYSIS OF CHINA S EXTERNAL DEBT COMPONENTS, FOREIGN EXCHANGE RESERVES AND ECONOMIC GROWTH RATES Hüseyin Çetin Phd Business Administration Candidate Okan University Social Science Institute,
Time Series Analysis
Time Series Analysis hm@imm.dtu.dk Informatics and Mathematical Modelling Technical University of Denmark DK-2800 Kgs. Lyngby 1 Outline of the lecture Identification of univariate time series models, cont.:
TOTAL FACTOR PRODUCTIVITY AND ECONOMIC GROWTH
İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi Yıl:8 Sayı:15 Bahar 2009 s.49-56 TOTAL FACTOR PRODUCTIVITY AND ECONOMIC GROWTH Mehmet ADAK * ABSTRACT The causality between TFP (Total Factor Productivity)
THE DEREGULATION OF FOREIGN EXCHANGE MARKET AND ITS IMPACT ON THE GROWTH OF THE NIGERIAN ECONOMY
THE DEREGULATION OF FOREIGN EXCHANGE MARKET AND ITS IMPACT ON THE GROWTH OF THE NIGERIAN ECONOMY Okosodo, L. A., Ph.D Department Of Economics Ambrose Alli University Ekpoma Edo State Nigeria. Imosili S.
6 Variables: PD MF MA K IAH SBS
options pageno=min nodate formdlim='-'; title 'Canonical Correlation, Journal of Interpersonal Violence, 10: 354-366.'; data SunitaPatel; infile 'C:\Users\Vati\Documents\StatData\Sunita.dat'; input Group
A Study of information asymmetry using Bid-Ask spread on firm value: evidence from Tehran Stock Exchange
International Research Journal of Applied and Basic Sciences 2013 Available online at www.irjabs.com ISSN 2251-838X / Vol, 4 (9): 2872-2876 Science Explorer Publications A Study of information asymmetry
VI. Introduction to Logistic Regression
VI. Introduction to Logistic Regression We turn our attention now to the topic of modeling a categorical outcome as a function of (possibly) several factors. The framework of generalized linear models
POLYNOMIAL AND MULTIPLE REGRESSION. Polynomial regression used to fit nonlinear (e.g. curvilinear) data into a least squares linear regression model.
Polynomial Regression POLYNOMIAL AND MULTIPLE REGRESSION Polynomial regression used to fit nonlinear (e.g. curvilinear) data into a least squares linear regression model. It is a form of linear regression
Univariate Regression
Univariate Regression Correlation and Regression The regression line summarizes the linear relationship between 2 variables Correlation coefficient, r, measures strength of relationship: the closer r is
European Researcher, 2014, Vol.(83), 9-2
Copyright 2014 by Academic Publishing House Researcher Published in the Russian Federation European Researcher Has been issued since 2010. ISSN 2219-8229 E-ISSN 2224-0136 Vol. 83, No. 9-2, pp. 1694-1706,
5. Linear Regression
5. Linear Regression Outline.................................................................... 2 Simple linear regression 3 Linear model............................................................. 4
Simple Linear Regression Inference
Simple Linear Regression Inference 1 Inference requirements The Normality assumption of the stochastic term e is needed for inference even if it is not a OLS requirement. Therefore we have: Interpretation
Determinants of capital structuring: an empirical study of growth and financing behavior of firms of textile sector in Pakistan
MPRA Munich Personal RePEc Archive Determinants of capital structuring: an empirical study of growth and financing behavior of firms of textile sector in Pakistan Imran Umer Chhapra and Muhammad Asim KASB
ARIMA Modeling With Intervention to Forecast and Analyze Chinese Stock Prices
ARIMA Modeling With Intervention to Forecast and Analyze Chinese Stock Prices Research Paper Jeffrey E Jarrett, Ph.D. 1* and Eric Kyper, Ph.D. 2 1 University of Rhode Island (USA) 2 Lynchburg College (USA)
Introduction to Data Analysis in Hierarchical Linear Models
Introduction to Data Analysis in Hierarchical Linear Models April 20, 2007 Noah Shamosh & Frank Farach Social Sciences StatLab Yale University Scope & Prerequisites Strong applied emphasis Focus on HLM
Predicting The Outcome Of NASCAR Races: The Role Of Driver Experience Mary Allender, University of Portland
Predicting The Outcome Of NASCAR Races: The Role Of Driver Experience Mary Allender, University of Portland ABSTRACT As national interest in NASCAR grows, the field of sports economics is increasingly
MISSING DATA TECHNIQUES WITH SAS. IDRE Statistical Consulting Group
MISSING DATA TECHNIQUES WITH SAS IDRE Statistical Consulting Group ROAD MAP FOR TODAY To discuss: 1. Commonly used techniques for handling missing data, focusing on multiple imputation 2. Issues that could
Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model
Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model 1 September 004 A. Introduction and assumptions The classical normal linear regression model can be written
Elementary Statistics Sample Exam #3
Elementary Statistics Sample Exam #3 Instructions. No books or telephones. Only the supplied calculators are allowed. The exam is worth 100 points. 1. A chi square goodness of fit test is considered to
Bilateral Trade Balance of Bangladesh with BRICS Countries: A Static Panel Data Analysis
MPRA Munich Personal RePEc Archive Bilateral Trade Balance of Bangladesh with BRICS Countries: A Static Panel Data Analysis Nobinkhor Kundu Assistant Professor, Department of Economics, Comilla University,
Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500 6 8480
1) The S & P/TSX Composite Index is based on common stock prices of a group of Canadian stocks. The weekly close level of the TSX for 6 weeks are shown: Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500
Parking slots in Europe: Results review and new model proposal. Phase 2: EPA s model improvement and design of a new survey
Parking slots in Europe: Results review and new model proposal Phase 2: EPA s model improvement and design of a new survey Research team: Jordi Suriñach (director) Manuela Alcañiz José Ramón García Montserrat
Lab 5 Linear Regression with Within-subject Correlation. Goals: Data: Use the pig data which is in wide format:
Lab 5 Linear Regression with Within-subject Correlation Goals: Data: Fit linear regression models that account for within-subject correlation using Stata. Compare weighted least square, GEE, and random
The Relationship between Financial Accounting Information and Market Values of Quoted Firms in Nigeria
The Relationship between Financial Accounting Information and Market Values of Quoted Firms in Nigeria Adaramola Anthony Olugbenga, Department of Banking and Finance, Faculty of Management Sciences, Ekiti
16 : Demand Forecasting
16 : Demand Forecasting 1 Session Outline Demand Forecasting Subjective methods can be used only when past data is not available. When past data is available, it is advisable that firms should use statistical
Module 5: Multiple Regression Analysis
Using Statistical Data Using to Make Statistical Decisions: Data Multiple to Make Regression Decisions Analysis Page 1 Module 5: Multiple Regression Analysis Tom Ilvento, University of Delaware, College
Réponse à une question de Roger Bastide Document 40
www.mauricemauviel.eu contact@mauricemauviel.eu Page 1 sur 44 www.mauricemauviel.eu contact@mauricemauviel.eu Page 2 sur 44 www.mauricemauviel.eu contact@mauricemauviel.eu Page 3 sur 44 www.mauricemauviel.eu
Lecture 14: GLM Estimation and Logistic Regression
Lecture 14: GLM Estimation and Logistic Regression Dipankar Bandyopadhyay, Ph.D. BMTRY 711: Analysis of Categorical Data Spring 2011 Division of Biostatistics and Epidemiology Medical University of South
From the help desk: Swamy s random-coefficients model
The Stata Journal (2003) 3, Number 3, pp. 302 308 From the help desk: Swamy s random-coefficients model Brian P. Poi Stata Corporation Abstract. This article discusses the Swamy (1970) random-coefficients
1.1. Simple Regression in Excel (Excel 2010).
.. Simple Regression in Excel (Excel 200). To get the Data Analysis tool, first click on File > Options > Add-Ins > Go > Select Data Analysis Toolpack & Toolpack VBA. Data Analysis is now available under
Uniwersytet Ekonomiczny
Uniwersytet Ekonomiczny George Matysiak Introduction to modelling & forecasting December 15 th, 2014 Agenda Modelling and forecasting - Models Approaches towards modelling and forecasting Forecasting commercial
One-Way Analysis of Variance: A Guide to Testing Differences Between Multiple Groups
One-Way Analysis of Variance: A Guide to Testing Differences Between Multiple Groups In analysis of variance, the main research question is whether the sample means are from different populations. The
Chapter 5 Estimating Demand Functions
Chapter 5 Estimating Demand Functions 1 Why do you need statistics and regression analysis? Ability to read market research papers Analyze your own data in a simple way Assist you in pricing and marketing
Random effects and nested models with SAS
Random effects and nested models with SAS /************* classical2.sas ********************* Three levels of factor A, four levels of B Both fixed Both random A fixed, B random B nested within A ***************************************************/
DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9
DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9 Analysis of covariance and multiple regression So far in this course,
Standard errors of marginal effects in the heteroskedastic probit model
Standard errors of marginal effects in the heteroskedastic probit model Thomas Cornelißen Discussion Paper No. 320 August 2005 ISSN: 0949 9962 Abstract In non-linear regression models, such as the heteroskedastic
Outline. Topic 4 - Analysis of Variance Approach to Regression. Partitioning Sums of Squares. Total Sum of Squares. Partitioning sums of squares
Topic 4 - Analysis of Variance Approach to Regression Outline Partitioning sums of squares Degrees of freedom Expected mean squares General linear test - Fall 2013 R 2 and the coefficient of correlation
Part 2: Analysis of Relationship Between Two Variables
Part 2: Analysis of Relationship Between Two Variables Linear Regression Linear correlation Significance Tests Multiple regression Linear Regression Y = a X + b Dependent Variable Independent Variable
Data Mining and Data Warehousing. Henryk Maciejewski. Data Mining Predictive modelling: regression
Data Mining and Data Warehousing Henryk Maciejewski Data Mining Predictive modelling: regression Algorithms for Predictive Modelling Contents Regression Classification Auxiliary topics: Estimation of prediction
TOURISM AND REGIONAL DEVELOPMENT IN THE AGEAN REGION OF TURKEY
TOURISM AND REGIONAL DEVELOPMENT IN THE AGEAN REGION OF TURKEY Prof. Dr. Sedef Akgüngör Dokuz Eylül University, Faculty of Business sedef.akgungor@deu.edu.tr Assoc. Prof. Yeşim Kuştepeli Dokuz Eylül University,
13. Poisson Regression Analysis
136 Poisson Regression Analysis 13. Poisson Regression Analysis We have so far considered situations where the outcome variable is numeric and Normally distributed, or binary. In clinical work one often