We employ a multinomial probit model to understand the housing choice of Koreans, more specifically to understand the decision factors that affect Koreans’ housing decisions. The data used are from surveys conducted in July, 2006, and we use the Gibbs sampling technique in analyzing them....

This study examines the impacts of air pollution on low birth weight by considering overtime variation in Korea in early 2000, when some parts of Korea experienced huge drop in air pollution due to regulation. The mother's exposure to ozone level above 0.12 ppm per hour during the first...

We attempt to value a cyber ecological park on the Internet by applying willingness to pay (WTP) survey techniques. The respondents' judgements required in the survey were within their abilities and the household's mean WTP for visiting the Woopo wetland cyber ecological park was estimated as...

This article estimates a multinomial probit model structured according to the defensive expenditures for drinking water (DW) choice, using a Bayesian analysis with Gibbs sampling. We also approximate the nonmarginal benefit from discrete improvement in DW quality by calculating the willingness...

In this paper, we explore partial identification and inference for the quantile of treatment effects for randomized experiments. First, we propose nonparametric estimators of sharp bounds on the quantile of treatment effects and establish their asymptotic properties under general conditions....

This paper supplements Manski (1990) and Manski and Pepper (2000) and contributes to the literature by introducing the concept of weak IV for the partially identified mean counterfactual outcomes when an instrumental variable (IV) or a monotone instrumental variable (MIV) is available (IV or MIV...

In this paper, we propose nonparametric estimators of sharp bounds on the distribution of treatment effects of a binary treatment and establish their asymptotic distributions. We note the possible failure of the standard bootstrap with the same sample size and apply the fewer-than-<italic>n</italic> bootstrap to...

In this paper, we first re-visit the inference problem for interval identified parameters originally studied in Imbens and Manski (2004) and later extended in Stoye (2008). We take the general criterion function approach and establish a new confidence interval that is asymptotically valid under...

In this paper, we study partial identification of the distribution of treatment effects of a binary treatment for ideal randomized experiments, ideal randomized experiments with a known value of a dependence measure, and for data satisfying the selection-on-observables assumption respectively....