Open AccessQualitative response models: A survey of methodology and illustrative applications
Author(s) -
Aleksandra Nojković
Publication year - 2007
Publication title -
economic annals/ekonomski anali
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 12
eISSN - 1820-7375
pISSN - 0013-3264
DOI - 10.2298/eka0772055n
Subject(s) - microdata (statistics) , categorical variable , econometrics , scope (computer science) , economics , context (archaeology) , econometric model , discrete choice , computer science , sociology , geography , population , demography , archaeology , machine learning , census , programming language
This paper introduces econometric modeling with discrete (categorical) dependent variables. Such models, commonly referred to as qualitative response (QR) models, have become a standard tool of microeconometric analysis. Microeconometric research represents empirical analysis of microdata, i.e. economic information about individuals, households and firms. Microeconometrics has been most widely adopted in various fields, such as labour economics, consumer behavior, or economy of transport. The latest research shows that this methodology can also be successfully transferred to macroeconomic context and applied to time series and panel data analysis in a wider scope.