Shifting Management for Performance in the Ethiopian Civil Service

Last registered on November 08, 2023

Pre-Trial

Trial Information

General Information

Title
Shifting Management for Performance in the Ethiopian Civil Service
RCT ID
AEARCTR-0012408
Initial registration date
October 31, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 08, 2023, 4:44 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
Cornell University

Other Primary Investigator(s)

PI Affiliation
World Bank
PI Affiliation
PI Affiliation
PI Affiliation
University of Oxford

Additional Trial Information

Status
In development
Start date
2023-11-30
End date
2025-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We research whether management styles can be changed in public administration, and what mechanisms drive any change. This is a particularly important question given management has been shown to contribute to performance in public and private organizations. To do so, this study will show a video to Ethiopian civil servants undergoing training at the Ethiopian Management Institute that showcases a successful middle manager who overcomes a work problem with his team, by learning and using a particular management style.
External Link(s)

Registration Citation

Citation
Dercon, Stefan et al. 2023. "Shifting Management for Performance in the Ethiopian Civil Service." AEA RCT Registry. November 08. https://doi.org/10.1257/rct.12408-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-11-30
Intervention End Date
2024-06-30

Primary Outcomes

Primary Outcomes (end points)
Management practices
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Four treatment groups, one control group. Cluster randomized.
Experimental Design Details
Not available
Randomization Method
Randomization by computer
Randomization Unit
Class / training course
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
100
Sample size: planned number of observations
2000
Sample size (or number of clusters) by treatment arms
20 classes per treatment, for five treatment conditions
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number