Limited-dependent and qualitative variables in econometrics

Ограниченные и качественные переменные в эконометрике
G. S. Maddala
1983-01-01

categorical variableslimited dependent variablesqualitative variablessimultaneous-equation modelstruncated variables
This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated. Despite the traditional emphasis on continuous variables in econometrics, many of the economic variables encountered in practice are categorical (those for which a suitable category can be found but where no actual measurement exists) or truncated (those that can be observed only in certain ranges). Such variables are involved, for example, in models of occupational choice, choice of tenure in housing, and choice of type of schooling. Models with regulated prices and rationing, and models for program evaluation, also represent areas of application for the techniques presented by the author.
1
It addresses categorical variables, which identify observed classes without meaningful numerical measurement, using econometric modeling techniques.
2
It analyzes truncated variables that are observable only within particular ranges, extending econometric analysis beyond fully observed outcomes.
3
The book develops econometric methods for single-equation and simultaneous-equation models with continuous, categorical, or truncated dependent variables.
4
The methods apply to occupational choice, housing tenure choice, schooling-type choice, regulated prices, rationing, and program evaluation.
5
The work emphasizes the practical importance of limited-dependent-variable models because many economic variables are categorical or truncated rather than continuous.

Single-equation and simultaneous-equation econometric models with continuous, categorical, or truncated jointly dependent variables

Econometric analysis of the properties and modeling of categorical and truncated dependent variables, including their applications to choice, rationing, and program-evaluation problems

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1983-01-01
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G. S. Maddala
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