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In this paper, we study the estimation and inference of the quantile treatment effect under covariate‐adaptive randomization. We propose two estimation methods: (1) the simple quantile regression and (2) the inverse propensity score weighted quantile regression. For the two estimators, we...
Persistent link: https://www.econbiz.de/10012315784
In the context of a continually changing and reforming financial market, stock market volatility plays a vital role in indicating macroeconomic environment changes, market participants' expectation and interaction mechanism. Market volatility research has been conducted by worldwide academics...
Persistent link: https://www.econbiz.de/10013113278
We propose and find that enhanced regulatory transparency facilitates alignment between private and public enforcement. Utilizing the SEC's 2004 decision to publicly disclose its comment letters, we explore the actions of a public enforcer (the SEC) and a private enforcer (shareholder...
Persistent link: https://www.econbiz.de/10012824121
Persistent link: https://www.econbiz.de/10014473324
Persistent link: https://www.econbiz.de/10013342155
This paper examines regression-adjusted estimation and inference of unconditional quantile treatment effects (QTEs) under covariate-adaptive randomizations (CARs). Datasets from field experiments usually contain extra baseline covariates in addition to the strata indicators. We propose to...
Persistent link: https://www.econbiz.de/10013220025
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://www.econbiz.de/10013051753
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://www.econbiz.de/10013051807
Persistent link: https://www.econbiz.de/10014434367
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://www.econbiz.de/10010369818