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nonparametric conditional quantile model with censoring and a nonparametric conditional treatment effect model. The recommended CS/test … uses a Cramer-von-Mises-type test statistic and employs a generalized moment selection critical value. …
Persistent link: https://www.econbiz.de/10009399648
that the test statistics of interest exhibit a discontinuity in their limit distribution as a function of a parameter in …
Persistent link: https://www.econbiz.de/10005093953
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. …
Persistent link: https://www.econbiz.de/10010738119
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 …
Persistent link: https://www.econbiz.de/10011184579
nonparametric conditional quantile model with censoring and a nonparametric conditional treatment effect model. The recommended CS/test … uses a Cramer-von-Mises-type test statistic and employs a generalized moment selection critical value. …
Persistent link: https://www.econbiz.de/10010895658
nonparametric conditional quantile model with censoring and a nonparametric conditional treatment effect model. The recommended CS/test … uses a Cramer-von-Mises-type test statistic and employs a generalized moment selection critical value. …
Persistent link: https://www.econbiz.de/10010895670
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capable of yielding very reliable inference, some precautions should be taken in order to ensure this. Two “Golden Rules” are formulated that, if observed, help to obtain the best the bootstrap...
Persistent link: https://www.econbiz.de/10005569960
versions of these tests are invalid when identification is weak and the number of instruments is moderate. However, all tests … are overly conservative and have no power when the number of instruments increases, even for moderate identification …
Persistent link: https://www.econbiz.de/10010597133
identification strength of the parameters. The robust test is uniformly valid and non-conservative. …The paper studies inference in nonlinear models where identification loss presents in multiple parts of the parameter … space. For uniform inference, we develop a local limit theory that models mixed identification strength. Building on this …
Persistent link: https://www.econbiz.de/10010822936
versions of these tests are invalid when identification is weak and the number of instruments is moderate. However, all tests … are overly conservative and have no power when the number of instruments increases, even for moderate identification …
Persistent link: https://www.econbiz.de/10011113887