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Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by … high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the … macroeconomic applications, however, differences in sampling frequencies are often small. In such a case, it might not be necessary …
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We propose a method to correct for sample selection in quantile regression models. Selection is modelled via the cumulative distribution function, or copula, of the percentile error in the outcome equation and the error in the participation decision. Copula parameters are estimated by minimizing...
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We develop a distribution regression model under endogenous sample selection. This model is a semiparametric generalization of the Heckman selection model that accommodates much rich patterns of heterogeneity in the selection process and effect of the covariates. The model applies to continuous,...
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