Name File Type Size Last Modified
ABcontracts_master.m text/x-objcsrc 2.5 KB 09/28/2021 10:59:AM
BenchmarkOptContract.m text/x-matlab 2.5 KB 09/28/2021 10:59:AM
Density_spline.m text/x-matlab 1.4 KB 09/28/2021 10:59:AM
Estimate_parameters.m text/x-matlab 790 bytes 09/28/2021 10:59:AM
Export_ABdata_Excel.do text/plain 158 bytes 12/21/2021 01:18:PM
Export_EWdata_Excel.do text/plain 160 bytes 09/28/2021 07:54:AM
GenerateIR.m text/x-matlab 1.9 KB 09/28/2021 10:59:AM
Heterogeneous_RRA.m text/x-matlab 2.8 KB 09/28/2021 10:59:AM
Heterogeneous_elasticity.m text/x-matlab 2.7 KB 09/28/2021 10:59:AM
ImportDPdata.m text/x-matlab 1.8 KB 09/28/2021 10:59:AM

Project Citation: 

Georgiadis, George, and Powell, Michael. Data and Code for: A/B Contracts. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-23. https://doi.org/10.3886/E146062V1

Project Description

Summary:  View help for Summary This paper aims to improve the practical applicability of the classic theory of incentive contracts under moral hazard. We establish conditions under which the information provided by an A/B test of incentive contracts is sufficient for answering the question of how best to improve a status quo incentive contract, given a priori knowledge of the agent's monetary preferences. We assess the empirical relevance of this result using data from DellaVigna and Pope's (2018) study of a variety of incentive contracts. Finally, we discuss how our framework can be extended to incorporate additional considerations beyond those in the classic theory.

Scope of Project

Subject Terms:  View help for Subject Terms mturk; incentives; labor contracts; experiment; agency problem; moral hazard
JEL Classification:  View help for JEL Classification
      D21 Firm Behavior: Theory
      D80 Information, Knowledge, and Uncertainty: General
      D86 Economics of Contract: Theory


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