An Application Of The Limited Dependent Variable Model Under Rational Expectations
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Rational Expectations in Limited Dependent Variable Models
Author | : Lung-Fei Lee |
Publisher | : |
Total Pages | : 0 |
Release | : 1993 |
Genre | : Rational expectations (Economic theory) |
ISBN | : |
Analysis of Panels and Limited Dependent Variable Models
Author | : Cheng Hsiao |
Publisher | : Cambridge University Press |
Total Pages | : 352 |
Release | : 1999-07-29 |
Genre | : Business & Economics |
ISBN | : 113943134X |
This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data. The papers in this collection can be grouped into two categories. The first, which includes chapters by Amemiya, Baltagi, Arellano, Bover and Labeaga, primarily deal with different aspects of limited dependent variables and sample selectivity. The second group of papers, including those by Nerlove, Schmidt and Ahn, Kiviet, Davies and Lahiri, consider issues that arise in the estimation of dyanamic (possibly) heterogeneous panel data models. Overall, the contributors focus on the issues of simplifying complex real-world phenomena into easily generalisable inferences from individual outcomes. As the contributions of G. S. Maddala in the fields of limited dependent variables and panel data were particularly influential, it is a fitting tribute that this volume is dedicated to him.
Econometric Analysis of Cross Section and Panel Data, second edition
Author | : Jeffrey M. Wooldridge |
Publisher | : MIT Press |
Total Pages | : 1095 |
Release | : 2010-10-01 |
Genre | : Business & Economics |
ISBN | : 0262232588 |
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling
Author | : Ivan Jeliazkov |
Publisher | : Emerald Group Publishing |
Total Pages | : 281 |
Release | : 2019-08-30 |
Genre | : Business & Economics |
ISBN | : 1789732433 |
In honor of Dale J. Poirier, experienced editors Ivan Jeliazkov and Justin Tobias bring together a cast of expert contributors to explore the most up-to-date research on econometrics, including subjects such as panel data models, posterior simulation, and Bayesian models.
Business Cycles
Author | : Victor Zarnowitz |
Publisher | : University of Chicago Press |
Total Pages | : 613 |
Release | : 2007-11-01 |
Genre | : Business & Economics |
ISBN | : 0226978923 |
This volume presents the most complete collection available of the work of Victor Zarnowitz, a leader in the study of business cycles, growth, inflation, and forecasting.. With characteristic insight, Zarnowitz examines theories of the business cycle, including Keynesian and monetary theories and more recent rational expectation and real business cycle theories. He also measures trends and cycles in economic activity; evaluates the performance of leading indicators and their composite measures; surveys forecasting tools and performance of business and academic economists; discusses historical changes in the nature and sources of business cycles; and analyzes how successfully forecasting firms and economists predict such key economic variables as interest rates and inflation.