Hedonic Regressions Price indices, quality control, and valuation of public services.

Slides:



Advertisements
Similar presentations
Hedonic Modeling Mats Wilhelmsson Center for Banking and Finance (Cefin)
Advertisements

Managerial Economics in a Global Economy
There are at least three generally recognized sources of endogeneity. (1) Model misspecification or Omitted Variables. (2) Measurement Error.
Irwin/McGraw-Hill © Andrew F. Siegel, 1997 and l Chapter 12 l Multiple Regression: Predicting One Factor from Several Others.
Part 1: Simple Linear Model 1-1/301-1 Regression Models Professor William Greene Stern School of Business IOMS Department Department of Economics.
Simple Regression. Major Questions Given an economic model involving a relationship between two economic variables, how do we go about specifying the.
LECTURE 3 Introduction to Linear Regression and Correlation Analysis
The World’s Fastest Crash Course in Statistics Or, What You Need to Know to Answer Your Research Question 13 November 2006.
Carrying out an Empirical Project n A researcher conducting an empirical study follows these basic steps : –formulate a model –gather the data –estimate.
Chapter 14 Introduction to Linear Regression and Correlation Analysis
Linear Regression.
Chapter 12 Simple Regression
Lecture 25 Multiple Regression Diagnostics (Sections )
Chapter 5 Time Series Analysis
Chapter 13 Introduction to Linear Regression and Correlation Analysis
Research Design After: finding an interesting research question; finding an interesting research question; reviewing the literature on the topic area;
Fall 2006 – Fundamentals of Business Statistics 1 Chapter 13 Introduction to Linear Regression and Correlation Analysis.
Lecture 24 Multiple Regression (Sections )
Empirical Estimation Review EconS 451: Lecture # 8 Describe in general terms what we are attempting to solve with empirical estimation. Understand why.
Linear Regression Models Powerful modeling technique Tease out relationships between “independent” variables and 1 “dependent” variable Models not perfect…need.
Everything I wish I had known about research design and data analysis… Statlab Workshop Fall 2006 Kyle Hood and Frank Farach.
Chapter 14 Introduction to Linear Regression and Correlation Analysis
Week 14 Chapter 16 – Partial Correlation and Multiple Regression and Correlation.
Demand Definitions: Reprise In economics, –A change in quantity demanded occurs when a change in the price of the good itself causes a consumer to buy.
Example of Simple and Multiple Regression
ECON 6012 Cost Benefit Analysis Memorial University of Newfoundland
Introduction to Linear Regression and Correlation Analysis
Correlation and Linear Regression
Supply and Demand Notes DEMAND Different people place different valuation on the same good. Meaning they will pay different prices for the same good (Love,
TIME SERIES by H.V.S. DE SILVA DEPARTMENT OF MATHEMATICS
Understanding Multivariate Research Berry & Sanders.
© 2004 Prentice-Hall, Inc.Chap 15-1 Basic Business Statistics (9 th Edition) Chapter 15 Multiple Regression Model Building.
Lecture 14 Multiple Regression Model
Chapter 6 & 7 Linear Regression & Correlation
Forecasting Techniques: Single Equation Regressions Su, Chapter 10, section III.
ESTIMATING & FORECASTING DEMAND Chapter 4 slide 1 Regression Analysis estimates the equation that best fits the data and measures whether the relationship.
Chap 12-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 12 Introduction to Linear.
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
MANAGERIAL ECONOMICS 11 th Edition By Mark Hirschey.
Changes in Equilibrium Lesson 2.7. Changes in Supply and Demand Law of Demand and Law of Supply describe what happens when prices change When price changes,
Demand Defined Demand Graphed Changes in Demand Supply Defined Supply Graphed Changes in Supply Equilibrium Surpluses Shortages Individual Markets: Demand.
CONTEMPORARY ECONOMICS© Thomson South-Western 6.2Shifts of Demand and Supply Curves  Explain how a shift of the demand curve affects equilibrium price.
STA 286 week 131 Inference for the Regression Coefficient Recall, b 0 and b 1 are the estimates of the slope β 1 and intercept β 0 of population regression.
Modeling Demand Module 7. Conceptual Structure of SIMQ Market Model Firm Demand = Total Industry Demand * Share of Market Firm Demand = Average Firm Demand.
Supply and Demand. The Law of Demand The law of demand holds that other things equal, as the price of a good or service rises, its quantity demanded falls.
CHAPTER 5 CORRELATION & LINEAR REGRESSION. GOAL : Understand and interpret the terms dependent variable and independent variable. Draw a scatter diagram.
Agricultural Economics
Economics 173 Business Statistics Lecture 10 Fall, 2001 Professor J. Petry
MARKET APPRAISAL. Steps in Market Appraisal Situational Analysis and Specification of Objectives Collection of Secondary Information Conduct of Market.
Lecture 1 Introduction to econometrics
Introduction to Eviews Eviews Workshop September 6, :30 p.m.-3:30 p.m.
Instrumental Variables Regression
Chapter 13 Simple Linear Regression
EXCEL: Multiple Regression
Chapter 14 Introduction to Multiple Regression
Principles and Worldwide Applications, 7th Edition
Introduction to statistical background
LESSON 6.2 Shifts of Demand and Supply Curves
Understanding and conducting
Agricultural Economics
Week 14 Chapter 16 – Partial Correlation and Multiple Regression and Correlation.
Newsroom Math and Statistics
American Housing Survey II
Empirical Project.
Tabulations and Statistics
Mats Wilhelmsson Center for Banking and Finance (Cefin)
Econometrics Analysis
Carrying out an Empirical Project
Introduction to Regression
Presentation transcript:

Hedonic Regressions Price indices, quality control, and valuation of public services

Some Theory Multiple characteristics of goods –Ala carte or combination platter –From Industrial Organization, think of bundling Contribution/value of specific attributes –Value of crash safety in car price –value of school quality in home price Equilibrium of Supply and Demand

Early Hedonics Frederick Waugh - Quality Factors Influencing Vegetable Prices (1927) Andrew Court - Hedonic Price Indexes with Automotive Examples (1939) Gregory Chow - Technological Change and the Demand for Computers (1967)

Formulate a Model What determines the Price of Asparagus? –Anything that shifts supply or demand Characteristics of the vegetable Time of year “Good” year - weather, crop disease, insect infestation Tastes and preferences Income Population

Formulate a Model What relationships do you expect? –Does price rise or fall with “Green”? –Does it rise or fall with “Nostalks”? –Does it rise or fall with “Disperse”? Are marginal effects of characteristics constant? Do marginal effects of some characteristics depend on other characteristics?

Waugh’s Data ugh.txt Open Excel or Quattro Copy the data from the web browser Paste it into Excel and parse it into separate columns Save as a text file (tab delimited) Read into Stata using the insheet command

Waugh’s Data Determined price, size and color variation, and the number of stalks in bundles of asparagus Price is price of a bundle relative to daily average price –controls for seasonal and day-to-day changes Size measured as the variation in the diameter of the stalks in the bundle

Waugh’s Data Color measured as the number of inches of green on the stalks Number of stalks in a bundle

Check the Data 4 variables, 200 observations Find Means and Standard deviations Find correlations

Issues of estimation method Heteroskedasticity? Autocorrelation? Simultaneity? Omitted variables? Endogenous regressors? Correct functional form?

Regression Linear model –Interpretation Statistical significance Economic significance Semi-log model –What happens to observations? –Interpretation

Regression Log-log model –Interpretation –Significance

Summary Formulate a Model –Literature –Theory Gather Data –Check data –Descriptive statistics

Summary Estimate the Model –Test specification –Test hypotheses Write it up