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...

This paper employs a fully nonparametric stochastic frontier model with time and individual effects to study technical efficiency in China's post-reform economy. The panel data cover China's thirty provinces for the period of 1985–2008. The empirical results show that the average output...

This paper presents a measurement of the technical efficiency of textile industries with 4-digit codes in China by using the cross-section data from 2002 and 2007 and a fully nonparametric stochastic frontier estimation approach. The technical efficiency of these textile industries is compared...

The paper studies the commutative and causality relationship between economic openness and indigenous factors. The construction of the Openness Index and the Indigenous Index provides a measure on the extent of openness and indigenous development among world economies. The two indices are used...

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...

This paper examines the simultaneous evolution of income inequality and economic growth using the provincial data from China. The VAR and system-GMM (a la Arellano–Bond) statistical methods are employed. We find that inequality reduction from faster provincial growth is statistically...

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.