We use panel data on Mexican manufacturing plants to study the connection between plants´responses to changes in the economic environment and their contributions to aggregateproductivity growth in the period following the implementation of the North American TradeAgreement (NAFTA)...

The stochastic frontier analysis (Aigner et al., 1977, Meeusen and van de Broeck, 1977)is widely used to estimate individual efficiency scores. The basic idea lies in the introductionof an additive error term consisting of a noise and an inefficiency term. Most oftenthe assumption of a...

International trade, as a major factor of openness, has made an increasingly significantcontribution to economic growth. Chinese international trade has experienced rapidexpansion together with its dramatic economic growth which has made the country to targetthe world as its market. This...

In this paper we fit stochastic frontier production functions to data for Chinese farmsgrouped into each of four regions—North, Northeast, East, and Southwest—over 1995-1999.These frontier production functions are shown to have statistically different structures, and themarginal product...

At the firm level, revenue and costs are well measured but prices and quantities are not. This paper shows that because of these data limitations estimates of returns to scale at the firm level are for the revenue function, not production function. Given this observation, the paper argues that,...

Following a positive shock, financing constraints will prolong or impede economic expansionthat would have been optimal in an unconstrained environment. The study ofdynamic adjustment therefore offers a direct way of verifying the presence of financingconstraints and assessing their consequences...

This paper develops a sequential learning estimator of production functions and productivitydynamics for unbalanced establishment panels. Extending an idea from the literatureon dynamic industry models, establishments are uncertain about their own idiosyncraticproductivities and update...

In this study new realized volatility measures based on Multi-Scale regression and Discrete Sine Transform (DST) approaches are presented. We show that Multi-Scales estimators similar to that recently proposed by Zhang (2004) can be constructed within a simple regression based approach by...

In this study new realized volatility measures based on Multi-Scale regression and Discrete Sine Transform (DST) approaches are presented. We show that Multi-Scales estimators similar to that recently proposed by Zhang (2004) can be constructed within a simple regression based approach by...