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Persistent link: https://www.econbiz.de/10003316414
We consider median regression and, more generally, quantile regression in high-dimensional sparse models. In these models the overall number of regressors p is very large, possibly larger than the sample size n, but only s of these regressors have non-zero impact on the conditional quantile of...
Persistent link: https://www.econbiz.de/10003838974
We give semiparametric identification and estimation results for econometric models with a regressor that is endogenous, bound censored and selected, called a Tobin regressor. First, we show that true parameter value is set identified and characterize the identification sets. Second, we propose...
Persistent link: https://www.econbiz.de/10003838979
This paper gives identification and estimation results for quantile and average effects in nonseparable panel models, when the distribution of period specific disturbances does not vary over time. Bounds are given for interesting effects with discrete regressors that are strictly exogenous or...
Persistent link: https://www.econbiz.de/10003899091
Persistent link: https://www.econbiz.de/10003454059
sample size, n. We rigorously develop asymptotic distribution and inference theory for the resulting IV estimators and … functions which are of independent theoretical and practical interest. Specifically, we develop the asymptotic theory for these … innovatively using moderate deviation theory for self-normalized sums, we provide convergence rates for these estimators that are …
Persistent link: https://www.econbiz.de/10008695561
In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model selected by first-step penalized estimators, typically LASSO. It is well known that LASSO can estimate the regression function at nearly the oracle rate, and is thus hard to improve...
Persistent link: https://www.econbiz.de/10003989968
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