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INFORMATION TECHNOLOGY AND GOVERNMENT DECENTRALIZATION
by
Finan, Frederico
, Dal Bó, Ernesto
, Li, Nicholas Y.
, Schechter, Laura
in
Agricultural extension
/ Agricultural technology
/ Analysis
/ bureaucracy
/ Cabinet officers
/ Decentralization
/ Decision making
/ delegation
/ Information technology
/ Leadership
/ marginal treatment effects
/ Medical decision making
/ Middle management
/ Middle managers
/ monitoring
/ Principals
/ Research design
/ Sophistication
/ Supervisors
2021
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INFORMATION TECHNOLOGY AND GOVERNMENT DECENTRALIZATION
by
Finan, Frederico
, Dal Bó, Ernesto
, Li, Nicholas Y.
, Schechter, Laura
in
Agricultural extension
/ Agricultural technology
/ Analysis
/ bureaucracy
/ Cabinet officers
/ Decentralization
/ Decision making
/ delegation
/ Information technology
/ Leadership
/ marginal treatment effects
/ Medical decision making
/ Middle management
/ Middle managers
/ monitoring
/ Principals
/ Research design
/ Sophistication
/ Supervisors
2021
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Do you wish to request the book?
INFORMATION TECHNOLOGY AND GOVERNMENT DECENTRALIZATION
by
Finan, Frederico
, Dal Bó, Ernesto
, Li, Nicholas Y.
, Schechter, Laura
in
Agricultural extension
/ Agricultural technology
/ Analysis
/ bureaucracy
/ Cabinet officers
/ Decentralization
/ Decision making
/ delegation
/ Information technology
/ Leadership
/ marginal treatment effects
/ Medical decision making
/ Middle management
/ Middle managers
/ monitoring
/ Principals
/ Research design
/ Sophistication
/ Supervisors
2021
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Journal Article
INFORMATION TECHNOLOGY AND GOVERNMENT DECENTRALIZATION
2021
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Overview
Standard models of hierarchy assume that agents and middle managers are better informed than principals. We estimate the value of the informational advantage held by supervisors—middle managers—when ministerial leadership—the principal—introduced a new monitoring technology aimed at improving the performance of agricultural extension agents (AEAs) in rural Paraguay. Our approach employs a novel experimental design that elicited treatment-priority rankings from supervisors before randomization of treatment. We find that supervisors have valuable information—they prioritize AEAs who would be more responsive to the monitoring treatment. We develop a model of monitoring under different scales of treatment roll-out and different treatment allocation rules. We semiparametrically estimate marginal treatment effects (MTEs) to demonstrate that the value of information and the benefits to decentralizing treatment decisions depend crucially on the sophistication of the principal and on the scale of roll-out.
Publisher
Wiley,Wiley Subscription Services, Inc,Blackwell Publishing Ltd
Subject
/ Analysis
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