Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.

Slides:



Advertisements
Similar presentations
Test of (µ 1 – µ 2 ),  1 =  2, Populations Normal Test Statistic and df = n 1 + n 2 – 2 2– )1– 2 ( 2 1 )1– 1 ( 2 where ] 2 – 1 [–
Advertisements

Managerial Economics in a Global Economy
Regression Analysis Module 3. Regression Regression is the attempt to explain the variation in a dependent variable using the variation in independent.
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Bivariate Correlation and Regression CHAPTER Thirteen.
Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.
Definition  Regression Model  Regression Equation Y i =  0 +  1 X i ^ Given a collection of paired data, the regression equation algebraically describes.
Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Managerial Economics, 9e Managerial Economics Thomas Maurice.
Lesson #32 Simple Linear Regression. Regression is used to model and/or predict a variable; called the dependent variable, Y; based on one or more independent.
BCOR 1020 Business Statistics
Chapter 7 Forecasting with Simple Regression
MANAGERIAL ECONOMICS 12th Edition
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.
© Stevenson, McGraw Hill, Assoc. Prof. Sami Fethi, EMU, All Right Reserved. Regression Analysis; Chapter4 MGMT 405, POM, 2010/11. Lec Notes Chapter.
Marketing Research Aaker, Kumar, Day and Leone Tenth Edition
Chapter 11 Simple Regression
C opyright  2007 by Oxford University Press, Inc. PowerPoint Slides Prepared by Robert F. Brooker, Ph.D.Slide 1 1.
Statistics for Business and Economics 8 th Edition Chapter 11 Simple Regression Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Ch.
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.
Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &
Estimating Demand Functions Chapter Objectives of Demand Estimation to determine the relative influence of demand factors to forecast future demand.
Managerial Economics Demand Estimation. Scatter Diagram Regression Analysis.
Regression Maarten Buis Outline Recap Estimation Goodness of Fit Goodness of Fit versus Effect Size transformation of variables and effect.
Lecturer: Kem Reat, Viseth, PhD (Economics)
MANAGERIAL ECONOMICS 11 th Edition By Mark Hirschey.
Examining Relationships in Quantitative Research
C opyright  2007 by Oxford University Press, Inc. PowerPoint Slides Prepared by Robert F. Brooker, Ph.D.Slide 1 1.
1 Chapter 12 Simple Linear Regression. 2 Chapter Outline  Simple Linear Regression Model  Least Squares Method  Coefficient of Determination  Model.
Multiple Regression and Model Building Chapter 15 Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Chapter 5: Regression Analysis Part 1: Simple Linear Regression.
Copyright © 2005 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Managerial Economics Thomas Maurice eighth edition Chapter 4.
Y X 0 X and Y are not perfectly correlated. However, there is on average a positive relationship between Y and X X1X1 X2X2.
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.
10B11PD311 Economics REGRESSION ANALYSIS. 10B11PD311 Economics Regression Techniques and Demand Estimation Some important questions before a firm are.
Chapter 5 Demand Estimation Managerial Economics: Economic Tools for Today’s Decision Makers, 4/e By Paul Keat and Philip Young.
© Stevenson, McGraw Hill, Assoc. Prof. Sami Fethi, EMU, All Right Reserved. Regression Analysis; Chapter4 MGMT 405, POM, 2011/12. Lec Notes Chapter.
Department of Business Administration FALL Demand Estimation Demand Estimation by Asst. Prof. Sami Fethi.
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics.
Statistics for Business and Economics 8 th Edition Chapter 11 Simple Regression Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Ch.
Examining Relationships in Quantitative Research
Chapter Thirteen Copyright © 2006 John Wiley & Sons, Inc. Bivariate Correlation and Regression.
Chapter 2 Ordinary Least Squares Copyright © 2011 Pearson Addison-Wesley. All rights reserved. Slides by Niels-Hugo Blunch Washington and Lee University.
Environmental Modeling Basic Testing Methods - Statistics III.
Department of Business Administration FALL Demand Estimation by Assoc. Prof. Sami Fethi.
Regression Analysis. 1. To comprehend the nature of correlation analysis. 2. To understand bivariate regression analysis. 3. To become aware of the coefficient.
Lesson 14 - R Chapter 14 Review. Objectives Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review.
Regression Analysis Deterministic model No chance of an error in calculating y for a given x Probabilistic model chance of an error First order linear.
Multiple Regression Analysis Regression analysis with two or more independent variables. Leads to an improvement.
Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved. Slide 1 Managerial Economics.
1 AAEC 4302 ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH Part II: Theory and Estimation of Regression Models Chapter 5: Simple Regression Theory.
Irwin/McGraw-Hill © Andrew F. Siegel, 1997 and l Chapter 9 l Simple Linear Regression 9.1 Simple Linear Regression 9.2 Scatter Diagram 9.3 Graphical.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Chapter 4 Demand Estimation
PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 1
Principles and Worldwide Applications, 7th Edition
Basic Estimation Techniques
Micro Economics in a Global Economy
Ordinary Least Squares (OLS) Regression
Simple Linear Regression
CHAPTER fourteen Correlation and Regression Analysis
Chapter 1: Appendix The Basics of Demand, Supply, and Equilibrium
Basic Estimation Techniques
Managerial Economics in a Global Economy
Chapter 4 Demand Estimation
Correlation and Regression
BEC 30325: MANAGERIAL ECONOMICS
Ch 4.1 & 4.2 Two dimensions concept
BEC 30325: MANAGERIAL ECONOMICS
BEC 30325: MANAGERIAL ECONOMICS
Presentation transcript:

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 1 Managerial Economics in a Global Economy, 5th Edition by Dominick Salvatore Chapter 4 Demand Estimation

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 2 The Identification Problem

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 3 Demand Estimation: Marketing Research Approaches Consumer Surveys Observational Research Consumer Clinics Market Experiments Virtual Shopping Virtual Management

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 4 Scatter Diagram Regression Analysis

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 5 Regression Analysis Regression Line: Line of Best Fit Regression Line: Minimizes the sum of the squared vertical deviations (e t ) of each point from the regression line. Ordinary Least Squares (OLS) Method

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 6 Regression Analysis

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 7 Ordinary Least Squares (OLS) Model:

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 8 Ordinary Least Squares (OLS) Objective: Determine the slope and intercept that minimize the sum of the squared errors.

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 9 Ordinary Least Squares (OLS) Estimation Procedure

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 10 Ordinary Least Squares (OLS) Estimation Example

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 11 Ordinary Least Squares (OLS) Estimation Example

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 12 Tests of Significance Standard Error of the Slope Estimate

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 13 Tests of Significance Example Calculation

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 14 Tests of Significance Example Calculation

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 15 Tests of Significance Calculation of the t Statistic Degrees of Freedom = (n-k) = (10-2) = 8 Critical Value at 5% level =2.306

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 16 Tests of Significance Decomposition of Sum of Squares Total Variation = Explained Variation + Unexplained Variation

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 17 Tests of Significance Decomposition of Sum of Squares

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 18 Tests of Significance Coefficient of Determination

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 19 Tests of Significance Coefficient of Correlation

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 20 Multiple Regression Analysis Model:

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 21 Multiple Regression Analysis Adjusted Coefficient of Determination

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 22 Multiple Regression Analysis Analysis of Variance and F Statistic

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 23 Problems in Regression Analysis Multicollinearity: Two or more explanatory variables are highly correlated. Heteroskedasticity: Variance of error term is not independent of the Y variable. Autocorrelation: Consecutive error terms are correlated.

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 24 Durbin-Watson Statistic Test for Autocorrelation If d=2, autocorrelation is absent.

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 25 Steps in Demand Estimation Model Specification: Identify Variables Collect Data Specify Functional Form Estimate Function Test the Results

Prepared by Robert F. Brooker, Ph.D. Copyright ©2004 by South-Western, a division of Thomson Learning. All rights reserved.Slide 26 Functional Form Specifications Linear Function: Power Function:Estimation Format: