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A Guide to Modern Econometrics

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  • 400 páginas
  • 14 horas de lectura

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Marno Verbeek's intermediate level textbook explores a wide range of topics in modern econometrics and focuses on what is important for doing and understanding empirical work. A wide range of new topics are covered including time series analysis, limited dependent variables, cointegration and panel data analysis. FEATURES Concentrates on the intuition behind various techniques and their practical relevance rather than the formulae End of chapter exercises review key concepts in light of empircal examples discussed in the chapter Examples are drawn from a wide variety of fields including labour economics, environmental economics, finance, international economics and macroeconomics CONTENTS: Introduction; An Introduction to Linear Regression; Interpreting and Comparing Regression Models; Heteroskedasticity and Autocorrelation; Stochastic Regressors; Maximum Likelihood Estimation; Models with Limited Dependent Variables; Univariate Time Series Modelling; Multivariate Time Series Analysis; Models Based on Panel Data.

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A Guide to Modern Econometrics, Marno Verbeek

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Publicado en
2000
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Título
A Guide to Modern Econometrics
Idioma
Inglés
Editorial
Wiley
Publicado en
2000
Formato
Tapa blanda
Páginas
400
ISBN10
0471899828
ISBN13
9780471899822
Serie
Calificación
3,6 de 5
Descripción
Marno Verbeek's intermediate level textbook explores a wide range of topics in modern econometrics and focuses on what is important for doing and understanding empirical work. A wide range of new topics are covered including time series analysis, limited dependent variables, cointegration and panel data analysis. FEATURES Concentrates on the intuition behind various techniques and their practical relevance rather than the formulae End of chapter exercises review key concepts in light of empircal examples discussed in the chapter Examples are drawn from a wide variety of fields including labour economics, environmental economics, finance, international economics and macroeconomics CONTENTS: Introduction; An Introduction to Linear Regression; Interpreting and Comparing Regression Models; Heteroskedasticity and Autocorrelation; Stochastic Regressors; Maximum Likelihood Estimation; Models with Limited Dependent Variables; Univariate Time Series Modelling; Multivariate Time Series Analysis; Models Based on Panel Data.