Motivations, Monitoring Technologies, and Pay for Performance

Monitoring technologies and pay for performance (PFP) contracts are becoming popular solutions to improve public services delivery. Their track record is however mixed. To show why this may be the case, this paper develops a principal agent model where agents’ motivations vary and so the effectivene...

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Main Authors: Cordella, Antonio, Cordella, Tito
Format: Journal Article
Published: Elsevier 2018
Subjects:
Online Access:http://hdl.handle.net/10986/29339
id okr-10986-29339
recordtype oai_dc
spelling okr-10986-293392021-05-25T10:54:44Z Motivations, Monitoring Technologies, and Pay for Performance Cordella, Antonio Cordella, Tito PAY FOR PERFORMANCE PUBLIC SECTOR MANAGEMENT INFORMATION AND COMMUNICATION TECHNOLOGY ASYMMETRIC INFORMATION MOTIVATIONS OPTIMAL CONTRACTS Monitoring technologies and pay for performance (PFP) contracts are becoming popular solutions to improve public services delivery. Their track record is however mixed. To show why this may be the case, this paper develops a principal agent model where agents’ motivations vary and so the effectiveness of monitoring technologies. In such a set-up, it shows that: (i) monitoring technologies should be introduced only if agents’ motivations are poor; (ii) optimal PFP contracts are non-linear/non-monotonic in agents’ motivations and monitoring effectiveness; (iii) investments aimed at improving agents’ motivations and monitoring quality are substitutes when agents are motivated, complements otherwise; (iv) if the agents’ “type” is private information, the more and less motivated agents could be separated through a menu of PFP/non-PFP contracts, designed in a way that only the less motivated ones choose the PFP. 2018-02-08T17:06:37Z 2018-02-08T17:06:37Z 2017-01 Journal Article Journal of Economic Behavior and Organization 0167-2681 http://hdl.handle.net/10986/29339 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Elsevier Publications & Research :: Journal Article Publications & Research
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
topic PAY FOR PERFORMANCE
PUBLIC SECTOR MANAGEMENT
INFORMATION AND COMMUNICATION TECHNOLOGY
ASYMMETRIC INFORMATION
MOTIVATIONS
OPTIMAL CONTRACTS
spellingShingle PAY FOR PERFORMANCE
PUBLIC SECTOR MANAGEMENT
INFORMATION AND COMMUNICATION TECHNOLOGY
ASYMMETRIC INFORMATION
MOTIVATIONS
OPTIMAL CONTRACTS
Cordella, Antonio
Cordella, Tito
Motivations, Monitoring Technologies, and Pay for Performance
description Monitoring technologies and pay for performance (PFP) contracts are becoming popular solutions to improve public services delivery. Their track record is however mixed. To show why this may be the case, this paper develops a principal agent model where agents’ motivations vary and so the effectiveness of monitoring technologies. In such a set-up, it shows that: (i) monitoring technologies should be introduced only if agents’ motivations are poor; (ii) optimal PFP contracts are non-linear/non-monotonic in agents’ motivations and monitoring effectiveness; (iii) investments aimed at improving agents’ motivations and monitoring quality are substitutes when agents are motivated, complements otherwise; (iv) if the agents’ “type” is private information, the more and less motivated agents could be separated through a menu of PFP/non-PFP contracts, designed in a way that only the less motivated ones choose the PFP.
format Journal Article
author Cordella, Antonio
Cordella, Tito
author_facet Cordella, Antonio
Cordella, Tito
author_sort Cordella, Antonio
title Motivations, Monitoring Technologies, and Pay for Performance
title_short Motivations, Monitoring Technologies, and Pay for Performance
title_full Motivations, Monitoring Technologies, and Pay for Performance
title_fullStr Motivations, Monitoring Technologies, and Pay for Performance
title_full_unstemmed Motivations, Monitoring Technologies, and Pay for Performance
title_sort motivations, monitoring technologies, and pay for performance
publisher Elsevier
publishDate 2018
url http://hdl.handle.net/10986/29339
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