Grouping Tests for Misspecification

An Application to Housing Demand

Datos Bibliográficos

ID19418600
AutoresJohn Greenlees (Bureau of Labor Statistics), John S Greenlees, Kimberly D Zieschang (Bureau of Labor Statistics)
Año1984
Volumen2
Número2
Páginas159-169
Fecha de publicación1984-04-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Business and Economic Statistics (JOURNAL)
Identificadores de la revistaISSN: 0735-0015 • E-ISSN: 1537-2707
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1984.10509384
OpenAlexW2005791861
IdiomaEN
Citas recibidas3
Referencias citadas19

We consider several grouping tests for regression misspecification, with reference to housing-demand function estimation. We compare three existing test procedures, demonstrate modifications necessary in most applications, and propose a fourth test to distinguish between two categories of potential specification error. The test procedures are evaluated in artificial simulations of alternative errors. Finally, we apply the tests to FHA home purchase data. We reject the hypothesis that household and grouped regressions differ only by sampling error or random mismeasurement of household income or price. Our results have implications for choices among test procedures and interpretations of previous housing-demand analysis

Econometrics · Economics · Estimation · Observational error · Regression · Regression analysis · Sampling error · Specification · Statistical hypothesis testing · Statistics · Computer Science · Consumer Market Behavior and Pricing · Economic and Environmental Valuation · Housing Market and Economics · Mathematics