This paper constructs estimators for panel data regression models with individual specific heterogeneity and two-sided censoring and truncation. Following Powell (1986) the estimation strategy is based on moment conditions constructed from re-censored or re-truncated residuals. While these...

The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private...

The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private...

When analyzing what determines the efficiency of production, regressing efficiency scores estimated by DEA on explanatory variables has much intuitive appeal. Simar and Wilson (2007) show that this naïve two-stage estimation procedure suffers from severe flaws, that render its results, and in...

This paper investigates the biological standard of living toward the end of Spanish rule. We investigate levels, trends, and determinants of physical stature from the birth cohorts of the 1860s to the 1890s using data on 23,000 Filipino soldiers enlisted by the U.S. military between 1901 and...

This paper assesses the relative efficiency of knowledge production in the OECD using a nonparametric DEA approach. Resources allocated to R&D are limited and should therefore be used efficiently given the institutional and legal constraints. This paper presents efficiency scores based on an...

Under the U.S. Department of Commerce’s ‘changed circumstances’ review, it is possible that the countervail duty on Canadian lumber can be lowered if administered stumpage prices are based on transaction evidence appraisal – on actual auction data and regression analysis. The Province of...

The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y = max[0,m(x) + e], where both the regression function m(x) and the distribution of the error e are unknown. This paper provides estimators of m(x) and its derivatives. The convergence rate...

This paper assesses the relative efficiency of knowledge production in the OECD using a nonparametric DEA approach. Resources allocated to R&D are limited and should therefore be used efficiently given the institutional and legal constraints. This paper presents efficiency scores based on an...

This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coefficients in a truncated regression model. The distribution of the errors is unknown and permits general forms of unknown heteroskedasticity. Also provided is an instrumental variables based...