Replication data for: Screening, Competition, and Job Design: Economic Origins of Good Jobs

Principal Investigator(s):  View help for Principal Investigator(s) Björn Bartling; Ernst Fehr; Klaus M. Schmidt

Version:  View help for Version V1

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  20100043_data 10/27/2021 09:36:AM
LICENSE.txt text/plain 14.6 KB 10/11/2019 01:03:PM

Project Citation: 

Bartling, Björn, Fehr, Ernst, and Schmidt, Klaus M. Replication data for: Screening, Competition, and Job Design: Economic Origins of Good Jobs. Nashville, TN: American Economic Association [publisher], 2012. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112514V1

Project Description

Summary:  View help for Summary High-performance work systems give workers more discretion, thereby increasing effort productivity but also shirking opportunities. We show experimentally that screening for work attitude and labor market competition are causal determinants of the viability of high-performance work systems, and we identify the complementarities between discretion, rent-sharing, and screening that render them profitable. Two fundamentally distinct job designs emerge endogenously in our experiments: "bad" jobs with low discretion, low wages, and little rent-sharing, and "good" jobs with high discretion, high wages, and substantial rent-sharing. Good jobs are profitable only if employees can be screened, and labor market competition fosters their dissemination. (JEL D12, D82, J24, J31, J41, M12, M54)

Scope of Project

Subject Terms:  View help for Subject Terms laboratory experment
JEL Classification:  View help for JEL Classification
      D12 Consumer Economics: Empirical Analysis
      D82 Asymmetric and Private Information; Mechanism Design
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials
      J41 Labor Contracts
      M12 Personnel Management; Executives; Executive Compensation
      M54 Personnel Economics: Labor Management
Geographic Coverage:  View help for Geographic Coverage Switzerland
Universe:  View help for Universe student subjects
Data Type(s):  View help for Data Type(s) experimental data

Methodology

Data Source:  View help for Data Source laboratory experiment
Unit(s) of Observation:  View help for Unit(s) of Observation experimental subjects,

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V1 [2019-10-11]

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