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The Singapore Economic Review, 2005 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.
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2009
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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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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2018
The regression models discussed so far primarily used either cross-sectional or time series data. Each of these types of data has its exclusive features. This chapter discusses panel data regression models using the same group of entities like individuals, firms, states, countries, and the like over time.
Abdulkader Aljandali, Motasam Tatahi
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The regression models discussed so far primarily used either cross-sectional or time series data. Each of these types of data has its exclusive features. This chapter discusses panel data regression models using the same group of entities like individuals, firms, states, countries, and the like over time.
Abdulkader Aljandali, Motasam Tatahi
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2016
AbstractThis chapter extends some of the models and procedures discussed in Chapters 2 and 3 to handle unbalanced panel data with unobserved heterogeneity. Types of unbalance are discussed and may affect the preferred procedure. Attention is given to the required modifications of the within-, between-, GLS- and OLS-estimators and their relationships ...
Erik Biørn +3 more
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AbstractThis chapter extends some of the models and procedures discussed in Chapters 2 and 3 to handle unbalanced panel data with unobserved heterogeneity. Types of unbalance are discussed and may affect the preferred procedure. Attention is given to the required modifications of the within-, between-, GLS- and OLS-estimators and their relationships ...
Erik Biørn +3 more
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1992
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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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.
openaire +1 more source