Replication data for: Back on the Rails: Competition and Productivity in State-Owned Industry

Principal Investigator(s): View help for Principal Investigator(s) Sanghamitra Das; Kala Krishna; Sergey Lychagin; Rohini Somanathan

Version: View help for Version V1

Name	File Type	Size	Last Modified
08-Summary-statistics.do	text/plain	9.7 KB	10/12/2019 12:10:PM
09-Reduced-form-regressions.do	text/plain	16.9 KB	10/12/2019 12:10:PM
10-Decomposition.do	text/plain	4.4 KB	10/12/2019 12:10:PM
11-Random-assignment.do	text/plain	2.7 KB	10/12/2019 12:10:PM
RUN_1.do	text/plain	495 bytes	10/12/2019 12:10:PM
RUN_2.m	text/x-c++	6 KB	10/12/2019 12:10:PM
estuse.m	text/plain	429 bytes	10/12/2019 12:10:PM
f_regr.m	text/plain	943 bytes	10/12/2019 12:10:PM
rassign.m	text/plain	5.6 KB	10/12/2019 12:10:PM

Project Description

Summary: We use a proprietary dataset on the floor-level operations at the largest rail mill in India to study the response of productivity to the threat of entry. Output per active shift increased by 28 percent over 3 years with minimal changes in physical capital and employment. By combining data on the timing of various training programs in the mill with shift-level variation in worker composition, we are able to attribute over half of the higher productivity to training specifically targeted toward improving rail output. Our work suggests high returns to knowledge-enhancing investment in emerging economies. (JEL D22, D24, J24, L23, L32, L61, O14)

Scope of Project

JEL Classification:
      D22 Firm Behavior: Empirical Analysis
      D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      L23 Organization of Production
      L32 Public Enterprises; Public-Private Enterprises
      L61 Metals and Metal Products; Cement; Glass; Ceramics
      O14 Industrialization; Manufacturing and Service Industries; Choice of Technology

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Published Versions

V1 [2019-10-12]

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Dublin Core

DDI 2.5

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