This study presents the results of an extensive Monte Carlo experiment to compare di erent methods of e ciency analysis. In addition to traditional parametric-stochastic and nonparametric-deterministic methods recently developed robust nonparametric-stochastic methods are considered. The experimental design comprises a wide variety of situations with di erent returns-to-scale regimes, substitut...

This paper applies the concept of damage coefficients introduced in Houba and Kremers (2008) to provide an estimate of the cost of climate change in particular the cost of changes in mean regional temperature and precipitation to the fruit vegetation sector. We concentrate on the production of apples in the German ‘Alte Land’ region. The estimated cost of climate change on apple-growing in the ...

In this paper, “innovative intelligence–biased technological change” (IIBTC) is examined as an alternative to the traditional concept of skill-biased technological change (SBTC) as a source of increases in wage inequality. The innovative intelligence of ordinary or average workers is an important element in productivity and can be heterogeneous across workers. Because technologies are heterogen...

We develop a methodology to analyze capital misallocation (dispersion in static marginal products) measure the contributions of technological/informational frictions and a rich class of firm-specific factors. An application to Chinese manufacturing firms reveals that adjustment costs and uncertainty, while significant, generate only a modest amount of MPK dispersion, which stems largely from ot...

This article examines learning-by-doing that is specific not just to individual firms but to pairs of firms working together in a contracting relationship. Using data from the oil and gas industry, I find that the productivity of an oil production company and its drilling contractor increases with their joint experience. This learning is relationship-specific: drilling rigs cannot fully appropr...

We review the econometric literature on measuring the returns to R&D. The theoretical frameworks that have been used are outlined, followed by an extensive discussion of measurement and econometric issues that arise when estimating the models. We then provide a series of tables summarizing the major results that have been obtained and conclude with a presentation of R&D spillover returns measur...

We propose a Laplace stochastic frontier model as an alternative to the traditional model with normal errors. An interesting feature of the Laplace model is that the distribution of inefficiency conditional on the composed error is constant for positive values of the composed error, but varies for negative values. Therefore, it may be ideally suited for analyzing industries with many forms on o...

Efforts to raise US health-care productivity have proceeded slowly, potentially due the fragmentation of payment across insurers. Each insurer’s efforts improve care could influence how doctors practice for other insurers, leading unvalued externalities. We study a randomized letter intervention by Medicare curtail overuse antipsychotics. The letters did not mention private insurance but reduce...