We consider a new inverse probability weighted estimator for the local average treatment effect parameter where the instrument propensity score is estimated by local polynomial regression. We derive its asymptotics and provide a higher order expansion of its asymptotic MSE.

We propose inverse probability weighted estimators for the local average treatment effect (LATE) and the local average treatment effect for the treated (LATT) under instrumental variable assumptions with covariates. We show that these estimators are asymptotically normal and efficient. When the...

This paper examines the distribution structural functions (DSFs) and quantile structural functions (QSFs) in a semiparametric treatment effect model. The DSF and QSF are defined as the distribution function and quantile function of the counterfactural outcome when covariates are exogenously...

This paper extends Kiefer, Vogelsang, and Bunzel (2000) and Kiefer and Vogelsang (2002b) to propose a class of over-identifying restrictions (OIR) tests that are robust to heteroskedasticity and serial correlations of unknown form. These OIR tests do not require consistent estimation of the...

We ask what determines the profitability of candlestick patterns. Is it the definition of trend and/or the holding strategy that one uses in candlestick charting analysis? To answer this, we conduct a systematic investigation by considering three definitions of trend and four holding strategies....

In this paper, we propose a Vuong (1989)-type model selection test for conditional moment inequality models. The test uses a new average generalized empirical likelihood (AGEL) criterion function designed to incorporate full restriction of the conditional model. We also introduce a new...

We examine the least-squares estimator of change point for nonstationary I(d) data with 0.5 < d < 1.5. We show that this estimator fails to locate the change point consistently when a change occurs and that it would suggest a spurious change even when there is none.

Government policies are frequently used throughout the world to promote productivity. While some of the policies are designed to work through technology enhancement, others are meant to exert the influence through effciency improvement. It is therefore important to have a program evaluation...

We propose a new robust hypothesis test for (possibly nonlinear) constraints on Mestimators with possibly non-differentiable estimating functions. The proposed test employs a random normalizing matrix computed from recursive M-estimators to eliminate the nuisance parameters arising from the...