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Most of the existing literature on panel data cointegration assumes cross-sectional independence, an assumption that is … difficult to satisfy. This paper studies panel cointegration under cross-sectional dependence, which is characterized by a … factor structure. We derive the limiting distribution of a fully modified estimator for the panel cointegrating coefficients …
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panel cointegrated regression models. Monte Carlo results illustrate the sampling behavior of the proposed estimators and …
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Difference-in-differences (DID) is commonly used for causal inference in time-series cross-section data. It requires the assumption that the average outcomes of treated and control units would have followed parallel paths in the absence of treatment. In this paper, I propose a method that not...
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(DOLS) estimators in cointegrated regression models in panel data. We show that the OLS, FM, and DOLS estimators are all …
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different variances. We provide examples of how to apply this approach to time series, panel, clustered and spatially correlated …
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