Abstract:A long standing question in social science is whether management matters. To investigate this we run a field experiment on 28 plants in large Indian textile firms to evaluate the causal impact of modernizing management practices. We do this by providing free management consulting to a set of randomly chosen treatment plants, and compare their performance to a set of control plants. We find that improving management practices had three main effects. First, it led to significantly higher efficiency and quality, and lower inventory levels. These changes increased productivity by 10.5% and profitability by 16.8% on average. Second, it increased the decentralization of decision making, as better production monitoring enabled the owners to delegate more decisions to their plant managers. Third, it increased the use of computers, necessitated by the extensive data collection, analysis and dissemination involved in modern management. Since these management practices were profitable, and firms were able to transfer them from their treatment plants to their other plants, this raises the question of why they had not adopted these practices before? Our results suggest that informational barriers were initially a primary factor in explaining this lack of adoption. Modern management practices are a type of technology that diffuse slowly between firms, with many Indian firms simply unaware of their impact or existence. A secondary factor constraining management appears to be the ability and behavior of the family firm CEOs.JEL No. L2, M2, O14, O32, O33.

This paper studies the problem of identification and estimation in nonparametric regression models with a misclassified binary regressor where the measurement error may be correlated with the regressors. We show that the regression function is nonparametrically identified in the presence of an additional random variable that is correlated with the unobserved true underlying variable but unrelated to the measurement error. Identification for semiparametric and parametric regression functions follows straightforwardly from the basic identification result. We propose a kernel estimator based on the identification strategy, derive its large sample properties, and discuss alternative estimation procedures. We also propose a test for misclassification in the model based on an exclusion restriction that is straightforward to implement. Copyright The Econometric Society 2006.

A long-standing question is whether differences in management practices across firms can explain differences in productivity, especially in developing countries where these spreads appear particularly large. To investigate this, we ran a management field experiment on large Indian textile firms. We provided free consulting on management practices to randomly chosen treatment plants and compared their performance to a set of control plants. We find that adopting these management practices raised productivity by 17% in the first year through improved quality and efficiency and reduced inventory, and within three years led to the opening of more production plants. Why had the firms not adopted these profitable practices previously? Our results suggest that informational barriers were the primary factor explaining this lack of adoption. Also, because reallocation across firms appeared to be constrained by limits on managerial time, competition had not forced badly managed firms to exit. JEL Codes: L2, M2, O14, O32, O33.

We describe findings from the first large-scale cluster randomized controlled trial in a developing country that evaluates the uptake of a health-protecting technology, insecticide-treated bednets (ITNs), through micro-consumer loans, as compared to free distribution and control conditions. Despite a relatively high price, 52 percent of sample households purchased ITNs, highlighting the role of liquidity constraints in explaining earlier low adoption rates. We find mixed evidence of improvements in malaria indices. We interpret the results and their implications within the debate about cost sharing, sustainability and liquidity constraints in public health initiatives in developing countries. (JEL D12, G21, H51, I12, I18, O15, O18)

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