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The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...
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treatment. Yet often, finite mixture models need more data than the experiment provides. The approach requires ex ante knowledge … about the number of types. Finite mixture models are hard to estimate for panel data, which is what experiments often … to find the number of types in the data, and that allows for the estimation of panel data models. It combines machine …
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We consider inference about coefficients on a small number of variables of interest in a linear panel data model with additive unobserved individual and time specific effects and a large number of additional time-varying confounding variables. We allow the number of these additional confounding...
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The objective of this study is to test empirically the relationship between structural changes (changes in gross value added and employment) and economic growth. We used a panel Granger-causality analysis based on annual data for eight transition countries, covering the period 1995-2011. The...
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