A Panel Data Analysis: Research & Development Spillover

Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reasonable model for the behavior of the panel data. Of...

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Main Authors:	Müller, Werner, Nettekoven, Michaela
Format:	Others
Language:	en
Published:	Department of Statistics and Mathematics, WU Vienna University of Economics and Business 1998
Subjects:	JEL C23 fixed coefficient models / random coefficient models / iterative estimation
Online Access:	http://epub.wu.ac.at/620/1/document.pdf

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spelling	ndltd-VIENNA-oai-epub.wu-wien.ac.at-epub-wu-01_a322014-12-29T05:06:56Z A Panel Data Analysis: Research & Development Spillover Müller, Werner Nettekoven, Michaela JEL C23 fixed coefficient models / random coefficient models / iterative estimation Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reasonable model for the behavior of the panel data. Of special importance is the choice between so-called fixed and random coefficient models. This choice can have a crucial effect on the interpretation of the analyzed phenomenon, which is demonstrated by an application on research and development spillover. (author's abstract) Department of Statistics and Mathematics, WU Vienna University of Economics and Business 1998 Paper NonPeerReviewed en application/pdf http://epub.wu.ac.at/620/1/document.pdf Series: Forschungsberichte / Institut für Statistik http://epub.wu.ac.at/620/
collection	NDLTD
language	en
format	Others
sources	NDLTD
topic	JEL C23 fixed coefficient models / random coefficient models / iterative estimation
spellingShingle	JEL C23 fixed coefficient models / random coefficient models / iterative estimation Müller, Werner Nettekoven, Michaela A Panel Data Analysis: Research & Development Spillover
description	Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reasonable model for the behavior of the panel data. Of special importance is the choice between so-called fixed and random coefficient models. This choice can have a crucial effect on the interpretation of the analyzed phenomenon, which is demonstrated by an application on research and development spillover. (author's abstract) === Series: Forschungsberichte / Institut für Statistik
author	Müller, Werner Nettekoven, Michaela
author_facet	Müller, Werner Nettekoven, Michaela
author_sort	Müller, Werner
title	A Panel Data Analysis: Research & Development Spillover
title_short	A Panel Data Analysis: Research & Development Spillover
title_full	A Panel Data Analysis: Research & Development Spillover
title_fullStr	A Panel Data Analysis: Research & Development Spillover
title_full_unstemmed	A Panel Data Analysis: Research & Development Spillover
title_sort	panel data analysis: research & development spillover
publisher	Department of Statistics and Mathematics, WU Vienna University of Economics and Business
publishDate	1998
url	http://epub.wu.ac.at/620/1/document.pdf
work_keys_str_mv	AT mullerwerner apaneldataanalysisresearchdevelopmentspillover AT nettekovenmichaela apaneldataanalysisresearchdevelopmentspillover AT mullerwerner paneldataanalysisresearchdevelopmentspillover AT nettekovenmichaela paneldataanalysisresearchdevelopmentspillover
_version_	1716727482869088256

A Panel Data Analysis: Research & Development Spillover

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