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2013
The study of empirical models based on cross-section times series data dates back well into the early 1950s. However, the first modern attempt to consistently model the behavior of agents in such contexts can be traced to Balestra and Nerlove (1966), hereafter referred to as BN, who studied the demand for natural gas by state in the US, over the period
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The study of empirical models based on cross-section times series data dates back well into the early 1950s. However, the first modern attempt to consistently model the behavior of agents in such contexts can be traced to Balestra and Nerlove (1966), hereafter referred to as BN, who studied the demand for natural gas by state in the US, over the period
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Panel Data Estimation Techniques and Farm‐level Data Models
American Journal of Agricultural Economics, 2012Econometric models estimating parameters for agricultural policy analysis increasingly rely on unbalanced panels of farm‐level data. Since such models have often been estimated through simplified approaches, in this paper we show that adopting more sophisticated panel data techniques may be very important for obtaining more reliable estimates of policy
Platoni, Silvia +2 more
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Multilevel and nonlinear panel data models
Allgemeines Statistisches Archiv, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Estimating dynamic panel data models: a guide for
, 1999Ruth A. Judson, Ann L. Owen
semanticscholar +1 more source
On bias, inconsistency and efficiency of various estimators in dynamic panel data models
, 1995J. Kiviet
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