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We study estimation and inference in panel data regression models when the regressors of interest are macro shocks …. In general, including lags as controls and then clustering over the cross-section leads to simple, robust inference. …
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version of the model studied in Bonhomme et al. (2022). We show that inference is possible in this setting using a …
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. Estimation and inference can, however, be carried out with the generalized method of moments (GMM) by suitably aggregating … assumptions are proposed in the literature - often lacking a thorough discussion of the implications for estimation and inference … conditions required to establish identification and consistency, derive the asymptotic properties, and carry out inference for …
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We study the estimation of the lag parameter of linear dynamic panel data models with first order dynamics based on the quadratic Ahn and Schmidt (1995) moment conditions. Our contribution is twofold: First, we show that extending the standard assumptions by mean stationarity and time series...
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