Practical econometrics
Author(s)
Bibliographic Information
Practical econometrics
Avebury , Ashgate Pub., c1992
- Other Title
-
Gyakorlati ökonometria
- Uniform Title
Available at 27 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Rev. translation, with additions, of Gyakorlati ökonometria. 1990
Includes bibliographical references (p. 301-312) and index
Description and Table of Contents
Description
An empirical economist can hardly avoid understanding and interpreting econometric analysis, let alone doing it. This book aims to help economists facing practical problems in their applied work. It discusses the circumstances under which a method can be used, its properties, and the situations, where it may be useful or where it is misleading. Most methods presented in this book are easily applicable in practice, thought many are not covered in undergraduate texts. The focus is on the practical use of the methods. An important question is usually not how the estimator or test statistic can be computed, since modern software packages efficiently perform the necessary comutations, but when a method should be used and how the results be interpreted. The software review contained in the Appendix gives information on suitable packages for applying the methods discussed in the main text.
Table of Contents
- Part 1 Preparations for econometric analysis: what is econometric modelling?. Part 2 Single equation models: single equation models
- the basic model
- stochastic regressors
- time series analysis
- dynamic specification
- heteroscedastic disturbances
- non-normal disturbances
- multicollinearity
- nonlinear models
- structural stability
- external (prior) information
- joint tests of hypotheses
- model selection
- panel data based modelling. Part 3 Inference in simultaneous models
- the classical simultaneous model and its estimation
- hypothesis testing in linear simultaneous equation models. Part 4 Other selected topics: investigating causal relationships by econometric methods
- models with qualitative and limited dependent variables. Appendix: econometric software packages
- what an econometric software package should be able to do
- tested software packages.
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