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Spatial Panel Data Models

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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Panel Data Analysis

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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Unbalanced panel data

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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Panel Data Models [PDF]

open access: possibleApplied Econometrics, 2006
Panel Data ...
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Panel Data

2011
Dominique Haughton, Jonathan Haughton
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Pseudo Panel Data

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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An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Panel data forecasting

Bringing together the recent advances and innovative methods in macroeconomic forecasting, this erudite Handbook outlines how to forecast, including following world events such as the Covid-19 pandemic and the global financial crisis. With contributions from global experts, chapters explore the use of machine-learning techniques, the value of social ...
Pick, Andreas, Timmermann, Allan
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