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not identified in parts of the parameter space. Specifically, we consider estimator criterion functions that are sample …
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a modification of Mikusheva's (2007a) modification of Stock's (1991) CI that employs the least squares estimator and a … heteroskedasticity-robust variance estimator. The CI is shown to have correct asymptotic size and to be asymptotically similar (in a …
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nonparametric conditional quantile model with censoring and a nonparametric conditional treatment effect model. The recommended CS/test … uses a Cramér–von-Mises-type test statistic and employs a generalized moment selection critical value. …
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recomputation of the second stage estimator during each resample iteration. The fast resample method directly exploits the score …
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The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...
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