Are some management practices akin to a technology that can explain company and national productivity, or do they simply reflect contingent management styles? We collect data on core management practices from over 11,000 firms in 34 countries. We find large cross-country differences in the...

Recent research suggests that much of the cross-firm variation in measured productivity is due to differences in use of advanced management practices. Many of these practices - including monitoring, goal setting, and the use of incentives - are mediated through employee decision-making and...

Partnering with the Census we implement a new survey of "structured" management practices in 32,000 US manufacturing plants. We find an enormous dispersion of management practices across plants, with 40% of this variation across plants within the same firm. This management variation accounts for...

Patents citations are a potentially powerful indicator of technological innovation. In this paper we describe the IFS-Leverhulme patents dataset that we have constructed by combining information from the US Case-Western Patent database with UK company accounts and share price information from...

Innovation processes within corporations increasingly tap into international technology sources, yet little is known about the relative contribution of different types of innovation channels. We investigate the effectiveness of different types of international technology sourcing activities...

This paper studies the implications of perceived default risk for aggregate output and productivity. Using a model of credit contracts with moral hazard, we show that a firm's probability of default is a sufficient statistic for capital allocation. The theoretical framework suggests an aggregate...

We present a heterogeneous-firm model in which management ability increases both pro- duction efficiency and product quality. Combining six micro-datasets on management prac- tices, production and trade in Chinese and American firms, we find broad support for the model's predictions. First,...