Structural Analysis of Discrete Data with Econometric Applications
by Charles F. Manski, Daniel McFadden
Publisher: The MIT Press 1981
Number of pages: 504
This book provides a methodological foundation for the analysis of economic problems involving discrete data, and charts the current frontiers of this subject. The text should be useful not only for econometricians but also for the wider community of researchers involved in the structural analysis of discrete data.
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by Daniel McFadden - University of California, Berkeley
The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.
by Tjalling C. Koopmans - John Wiley & Sons
Quantitative economic study has a threefold basis: it is necessary to formulate economic hypotheses, to collect appropriate data, and to confront hypotheses with data. The latter task, statistical inference in economics, is discussed in this book.
by Charles F. Manski - Chapman and Hall
This book presents familiar elements of estimation theory from an analog perspective. It discusses recent developments in the theory of analog estimation and presents new results that offer flexibility in empirical research.
by Bruce E. Hansen - University of Wisconsin
Econometrics is the study of estimation and inference for economic models using economic data. Econometric theory concerns the study of tools and methods for applied econometric applications. This is a first-year Ph.D. econometrics textbook.