Productivity growth and convergence: a stochastic frontier analysis

Stochastic Non-Parametric Frontier Analysis

In this paper we develop an approach that synthesizes the best features of the two main methods in the estimation of production efficiency. Specically, our approach first allows for statistical noise, similar to Stochastic frontier analysis, and second, it allows modeling multiple-inputs-multiple-outputs technologies without imposing parametric assumptions on production relationship, similar to...

Economic Growth and FDI Inflows: A Stochastic Frontier Analysis

Despite plausible theoretical grounds for presuming a positive relationship between foreign direct investment inflows (FDI) and economic growth, existing empirical evidence on this nexus is inconclusive. In an effort to add to the empirical literature, this paper estimates the relationship between FDI and the rate of growth of GDP using a stochastic frontier model and employing panel data cover...

Regional Disparity of Productivity in China: A Stochastic Frontier Approach

We attempt to use a group-specific stochastic frontier method to analyze temporal change in the regional productivity performance of China. This method allows us to separate China into three different regional groups, namely the eastern, central, and western, each of which can have its own temporal movement of inefficiency. Our estimation indicates that Shanghai is the most efficient economy in...

Stochastic Frontier Analysis

published by the press syndicate of the university of cambridge A catalog record for this book is available from the British Library.

Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran