The estimation of causal effects is a primary goal of behavioral, social, economic and biomedical sciences. Under the unconfounded treatment assignment condition, adjustment for confounders requires estimating the nuisance functions relating outcome and/or treatment to confounders. The...

This research aims to set up a comprehensive index system to evaluate the sustainable development level of the industrial sector in China and to determine the key influencing factors that hinder the sector's sustainable development. To achieve these research goals, we build a theoretical model...

We examine the relation between intra-day price discovery and proxies for financial openness and investor accessibility using a sample of intra-day price and quote data of 1,504 stocks from 23 emerging markets. We measure price discovery by weighted price contribution across segments of the...

This paper proposes a simple and efficient estimation procedure for the model with non-ignorable missing data studied by Morikawa and Kim (2016). Their semiparametrically efficient estimator requires explicit nonparametric estimation and so suffers from the curse of dimensionality and requires a...

This paper investigates the estimation of semiparametric copula models with data missing at random. The two-step maximum likelihood estimation of Genest, Ghoudi, and Rivest (1995) is infeasible if there are missing data. We propose a class of calibration estimators for the nonparametric marginal...

The loss warning announcement in China's stock market causes stock price to drop about 3 percent during announcement periods. However, the subsequent medium-term returns after loss warning announcement are significantly positive. For example, cumulative abnormal returns (CARs) from event day 2...

The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) raised a global pandemic and caused over 4.2 million deaths worldwide. However, there is no specific treatment for COVID-19 patients. In this study, we noticed that male...