Using data on team assignment and weekly output for all weavers in an urban Chinese textile firm between April 2003 and March 2004, this paper studies a) how randomly assigned teammates affect an individual worker's behavior under a tournament-style incentive scheme, and b) how such effects...

We introduce a novel approach to modeling the impact of institutional quality on firm performance. Our methodology enables us to estimate the marginal effect of institutional quality on TFP, factor inputs and output of each firm, which gives us within-country distributions of these effects and...

We provide some of the first rigorous evidence on performance spillovers and social network in the workplace. The data we use are rather extraordinary - weekly data for rejection rates (proportion of defective output) for all weavers in a firm during a 12 months (April 2003-March 2004) period,...

Using firm-level data from nine developing countries we demonstrate that (a) certain institutions like restrictive labour market regulations that are considered to be bad for economic growth might be beneficial for production efficiency, whereas (b) good business environment which is considered...

This paper investigates inter-industry wage differentials in Belgium, taking advantage of access to a unique matched employer-employee data set covering all the years from 1999 to 2005. Findings show the existence of large wage differentials among workers with the same observed characteristics...

In many markets in developing countries, especially in remote areas, middlemen are thought to earn excessive profits. Non-profits come in to counter what is seen as middlemen's market power, and rich country consumers pay a "fair-trade" premium for products marketed by such non-profits. This...

We use British panel data to determine the exogenous impact of income on a number of individual health outcomes: general health status, mental health, physical health problems, and health behaviors (drinking and smoking). Lottery winnings allow us to make causal statements regarding the effect...

We present a theorem helpful in estimating the mean and variance of a linear function with arbitrary multivariate randomness in its coefficients and variables. We derive a generalized decomposition result from two random linear functions in which the result can be applied to most models using...