We use a proprietary data set on the floor-level operations at the Bhilai Rail and Structural Mill (RSM) in India to understand how output rose sharply in response to competitive pressures. Output increases came predominantly from reductions in production delays of various kinds. We model...

We document the evolution of productivity in a steel mini mill with fixed capital, producing an unchanged product with Leontief technology working 24/7. Despite?almost?unchanged production conditions, output doubled within the sample period (12 years). We decompose the gains into downtime...

The importance of Total Factor Productivity (TFP) in explaining output changes is widely accepted, yet its sources are not well understood. We use a proprietary data set on the oor-level operations at the Bhilai Rail and Structural Mill (RSM) in India to understand the determinants of changes in...

We use a proprietary data set on the floor-level operations at the Bhilai Rail and Structural Mill (RSM) in India to understand how output rose sharply in response to competitive pressures. Output increases came predominantly from reductions in production delays of various kinds. We model...

We use a proprietary data set on the floor-level operations at the Bhilai Rail and Structural Mill (RSM) in India to understand how output rose sharply in response to competitive pressures. Output increases came predominantly from reductions in production delays of various kinds. We model...

We use a proprietary data set on the floor-level operations at the Bhilai Rail and Structural Mill (RSM) in India to understand how output rose sharply in response to competitive pressures. Output increases came predominantly from reductions in production delays of various kinds. We model...

The Organization of Economic Cooperation and Development (OECD) has in recent years devoted considerable resources to the study of productivity trends in the OECD area. In this article, Dirk Pilat, a senior economist at the OECD provides an overview of the key results of this research effort....

The productivity of firms is, at least partly, determined by a firm’s actions and decisions. One of these decisions involves the organization of production in terms of the number of layers of management the firm decides to employ. Using detailed employer-employee matched data and firm...

Does the matching between workers and jobs help explain productivity differentials across firms? To address this question we develop a job-worker allocation quality measure (JAQ) by combining employer-employee administrative data with machine learning techniques. The proposed measure is...

The productivity of firms is, at least partly, determined by a firm's actions and decisions. One of these decisions involves the organization of production in terms of the number of layers of management the firm decides to employ. Using detailed employer-employee matched data and firm production...