This paper proposes a new semiparametric estimator for the truncated regression model under the independence restriction. Many existing approaches such as those in Lee (1992) and Honoré and Powell (1994) are moment-based methods, whereas our approach makes use of the entire truncated...

The existing semiparametric estimation literature has mainly focused on univariate Tobit models and no semiparametric estimation has been considered for bivariate Tobit models. In this paper, we consider semiparametric estimation of the bivariate Tobit model proposed by Amemiya (1974), under the...

Semiparametric estimation shows that growth is contingent on openness, domestic performance and level of development. Economies with low degree of openness can adopt more open policies and stronger measures to achieve better domestic performance and hasten their growth.

Research Highlights [black right pointing pointer] This paper presents a time-variant estimation of technical efficiency in post-reform China. [black right pointing pointer] A fully nonparametric stochastic model is used to measure technical efficiency. [black right pointing pointer] The average...

This article distinguishes openness from domestic performance as different growth determinants and uses nonparametric estimation to reveal their direct effects on GDP. On average, openness promotes growth, but its effect on growth is negative when the levels of openness and domestic performance...

Evidences from nonparametric and semiparametric unbalanced panel data models with fixed effects show that Kuznet’s inverted-U relationship is confirmed when economic development reaches a threshold. The model tests justify semiparametric specification. The integrated net contribution of...