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A companion to theoretical econometrics / edited by Badi H. Baltagi.

Contributor(s): Series: Blackwell companions to contemporary economicsPublication details: Malden, MA : Blackwell Pub., 2003.Description: 1 online resource (xvii, 709 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1405142073
  • 9781405142076
  • 9781405166386
  • 140516638X
  • 9780470996249
  • 0470996242
Other title:
  • Theoretical econometrics
Subject(s): Genre/Form: Additional physical formats: Print version:: Companion to theoretical econometrics.DDC classification:
  • 330.015195 22
LOC classification:
  • HB139 .C643 2003eb
Online resources:
Contents:
Artificial regressions / Russell Davidson and James G. MacKinnon -- General hypothesis testing / Anil K. Bera and Gamini Premaratne -- Serial correlation / Maxwell L. King -- Heteroskedasticity / William E. Griffiths -- Seemingly unrelated regression / Denzil G. Fiebig -- Simultaneous equation model estimators: statistical properties and practical implications / Roberto S. Mariano -- Identification in parametric models / Paul Bekker and Tom Wansbeek -- Measurement error and latent variables / Tom Wansbeek and Erik Meijer -- Diagnostic testing / Jeffrey M. Wooldridge -- Basic elements of asymptotic theory / Benedikt M. Pötscher and Ingmar R. Prucha -- Generalized method of moments / Alastair R. Hall -- Collinearity / R. Carter Hill and Lee C. Adkins -- Nonnested hypothesis testing: an overview / M. Hashem Pesaran and Melvyn Weeks -- Spatial econometrics / Luc Anselin -- Essentials of count data regression / A. Colin Cameron and Pravin K. Trivedi -- Panel data models / Cheng Hsiao -- Qualitative response models / G.S. Maddala and A. Flores-Lagunes -- Self-selection / Lung-fei Lee -- Random coefficient models / P.A.V.B. Swamy and George S. Tavlas -- Nonparametric kernel methods of estimation and hypothesis testing / Aman Ullah -- Durations / Christian Gouriéroux and Joann Jasiak -- Simulation based inference for dynamic multinomial choice models / John Geweke, Daniel Hauser and Michael Keane -- Monte Carlo test methods in econometrics / Jean-Marie Dufour and Lydia Khalaf -- Bayesian analysis of stochastic frontier models / Gary Koop and Mark F.J. Steel -- Parametric and nonparametric tests of limited domain and ordered hypotheses in economics / Esfandiar Maasoumi -- Spurious regressions in econometrics / Clive W.J. Granger -- Forecasting economic time series / James H. Stock -- Time series and dynamic models / Aris Spanos -- Unit roots / Herman J. Bierens -- Cointegration / Juan J. Dolado, Jesús Gonzalo and Francesc Marmol -- Seasonal nonstationarity and near-nonstationarity / Eric Ghysels, Denise R. Osborn and Paulo M.M. Rodrigues -- Vector autoregressions / Helmut Lütkepohl.
In: Wiley e-booksSummary: A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics. Integrates real-world topics encountered by professionals and practitioners. Draws on up-to-date research in areas not covered by standard econometrics texts. Organized t.
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Originally published: Malden, Mass. : Blackwell, 2001.

Includes bibliographical references and index.

Artificial regressions / Russell Davidson and James G. MacKinnon -- General hypothesis testing / Anil K. Bera and Gamini Premaratne -- Serial correlation / Maxwell L. King -- Heteroskedasticity / William E. Griffiths -- Seemingly unrelated regression / Denzil G. Fiebig -- Simultaneous equation model estimators: statistical properties and practical implications / Roberto S. Mariano -- Identification in parametric models / Paul Bekker and Tom Wansbeek -- Measurement error and latent variables / Tom Wansbeek and Erik Meijer -- Diagnostic testing / Jeffrey M. Wooldridge -- Basic elements of asymptotic theory / Benedikt M. Pötscher and Ingmar R. Prucha -- Generalized method of moments / Alastair R. Hall -- Collinearity / R. Carter Hill and Lee C. Adkins -- Nonnested hypothesis testing: an overview / M. Hashem Pesaran and Melvyn Weeks -- Spatial econometrics / Luc Anselin -- Essentials of count data regression / A. Colin Cameron and Pravin K. Trivedi -- Panel data models / Cheng Hsiao -- Qualitative response models / G.S. Maddala and A. Flores-Lagunes -- Self-selection / Lung-fei Lee -- Random coefficient models / P.A.V.B. Swamy and George S. Tavlas -- Nonparametric kernel methods of estimation and hypothesis testing / Aman Ullah -- Durations / Christian Gouriéroux and Joann Jasiak -- Simulation based inference for dynamic multinomial choice models / John Geweke, Daniel Hauser and Michael Keane -- Monte Carlo test methods in econometrics / Jean-Marie Dufour and Lydia Khalaf -- Bayesian analysis of stochastic frontier models / Gary Koop and Mark F.J. Steel -- Parametric and nonparametric tests of limited domain and ordered hypotheses in economics / Esfandiar Maasoumi -- Spurious regressions in econometrics / Clive W.J. Granger -- Forecasting economic time series / James H. Stock -- Time series and dynamic models / Aris Spanos -- Unit roots / Herman J. Bierens -- Cointegration / Juan J. Dolado, Jesús Gonzalo and Francesc Marmol -- Seasonal nonstationarity and near-nonstationarity / Eric Ghysels, Denise R. Osborn and Paulo M.M. Rodrigues -- Vector autoregressions / Helmut Lütkepohl.

A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics. Integrates real-world topics encountered by professionals and practitioners. Draws on up-to-date research in areas not covered by standard econometrics texts. Organized t.

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