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We explain the proliferation of panel data studies in terms of (i) data availability; (ii) the heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow; and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.
Cheng Hsiao, Cheng Hsiao, Cheng Hsiao
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This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and xed e ects. The paper surveys quasi-ML methods based on the Poisson, as
Cameron, Colin, Trivedi, Pravin K.
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2012
This insightful book explores the most important established and emerging qualitative and quantitative research methods in tourism. The authors provide a detailed overview of the nature of the research method, its use in tourism, the advantages and limitations, and future directions for research.
Neelu Seetaram, Sylvain Petit
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This insightful book explores the most important established and emerging qualitative and quantitative research methods in tourism. The authors provide a detailed overview of the nature of the research method, its use in tourism, the advantages and limitations, and future directions for research.
Neelu Seetaram, Sylvain Petit
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Journal of the American Statistical Association, 1987
This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations.
Cheng Hsiao, Gary Solon
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This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations.
Cheng Hsiao, Gary Solon
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In the previous chapters much attention was paid to estimation and testing strategies using panel data in a variety of models.1 In practical situations, however, a true panel data set may not always be available, while repeated cross sections are. For example, in the United Kingdom, no panel data are available on consumer expenditures or labour supply.
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Measurement Error in Panel Data
2015Measurement error is a pervasive problem in economics and other social and behavioral sciences. Estimators that ignore the issue are generally inconsistent, and more information or stronger assumptions are necessary to correct for measurement error. Panel data are a source of more information, but consistent estimators still require some additional ...
Laura Spierdijk+2 more
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Spatial Panel Data Models [PDF]
In recent years, the spatial econometrics literature has exhibited a growing interest in the specification and estimation of econometric relationships based on spatial panels. Spatial panels typically refer to data containing time series observations of a number of spatial units (zip codes, municipalities, regions, states, jurisdictions, countries, etc.
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Orthogonal Parameters and Panel Data
Review of Economic Studies, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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