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Project Citation: 

Niehaus, Paul, and Sukhtankar, Sandip. Replication data for: Corruption Dynamics: The Golden Goose Effect. Nashville, TN: American Economic Association [publisher], 2013. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-13. https://doi.org/10.3886/E114842V1

Project Description

Summary:  View help for Summary Theoretical work on disciplining corrupt agents has emphasized the role of expected future rents -- for example, efficiency wages. Yet taken seriously this approach implies that illicit future rents should also deter corruption. We study this "golden goose" effect in the context of a statutory wage increase in India's employment guarantee scheme, comparing official microrecords to original household survey data to measure corruption. We estimate large golden goose effects that reduced the total impact of the wage increase on theft by roughly 64 percent. In short, rent expectations matter. (JEL D73, D82, H83, J41, K42, O17, O21)

Scope of Project

Subject Terms:  View help for Subject Terms Household survey data
JEL Classification:  View help for JEL Classification
      D73 Bureaucracy; Administrative Processes in Public Organizations; Corruption
      D82 Asymmetric and Private Information; Mechanism Design
      H83 Public Administration; Public Sector Accounting and Audits
      J41 Labor Contracts
      K42 Illegal Behavior and the Enforcement of Law
      O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
      O21 Planning Models; Planning Policy
Geographic Coverage:  View help for Geographic Coverage India, Odisha, Andhra Pradesh
Time Period(s):  View help for Time Period(s) 3/2007 – 3/2008
Universe:  View help for Universe Beneficiaries of the National Rural Employment Guarantee Scheme (NREGS or NREGA) in two states in India
Data Type(s):  View help for Data Type(s) survey data; administrative records data

Methodology

Unit(s) of Observation:  View help for Unit(s) of Observation Households, individuals,

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