Strengthening State Capacity Through Evidence-Based Performance Diagnostics: Experimental Evidence from Ghana’s Civil Service

Last registered on December 01, 2025

Pre-Trial

Trial Information

General Information

Title
Strengthening State Capacity Through Evidence-Based Performance Diagnostics: Experimental Evidence from Ghana’s Civil Service
RCT ID
AEARCTR-0017267
Initial registration date
November 29, 2025

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
December 01, 2025, 11:40 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Institute for Fiscal Studies

Other Primary Investigator(s)

PI Affiliation
World Bank
PI Affiliation
Institute for Fiscal Studies
PI Affiliation
University of Ghana
PI Affiliation
World Bank
PI Affiliation
World Bank

Additional Trial Information

Status
On going
Start date
2025-11-18
End date
2027-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study how to improve performance assessments and the inner workings of hierarchies in bureaucracies. We conduct a field experiment with bureaucrats in all ministries staffed by the Ghanaian Civil Service. We randomly allocate directorates an additional module on managerial practices as part of the business-as-usual training in the annual performance review processes of the civil service. Additionally, among the treated, we randomize whether the team performance assessment, after the training, is led by managers or by workers, nudging managers on the importance of enabling worker voice.
External Link(s)

Registration Citation

Citation
Augsburg, Britta et al. 2025. "Strengthening State Capacity Through Evidence-Based Performance Diagnostics: Experimental Evidence from Ghana’s Civil Service." AEA RCT Registry. December 01. https://doi.org/10.1257/rct.17267-1.0
Experimental Details

Interventions

Intervention(s)
The link between state capacity and economic prosperity is now widely established (Khan et al., 2015, 2019; Finan et al., 2017; Bertrand et al., 2019; Besley et al., 2022). At a micro level, there is growing evidence that the administration’s capacity to complete bureaucratic tasks is a core feature of an effective state (Rasul et al., 2021). In Ghana, where about one-third of infrastructure projects are never completed (Williams, 2017) and government spending accounts for 25% of GDP (World Bank, 2024)—such administrative inefficiencies have significant macroeconomic consequences: a 10-percentage-point increase in task completion implies substantial gains in economic growth (Rasul et al., 2021). Similar patterns in other middle-income contexts show that unfinished public investment projects reduce welfare (Bancalari, 2024).

High-quality administrative activity is a key feature of bureaucratic capacity. For example, managerial quality is increasingly recognised as a key driver of bureaucratic task completion and broader public sector performance (Bloom et al., 2016; Rasul and Rogger, 2018). Wide variation in management practices across Ghana’s civil service, particularly poor practices in setting clear targets, monitoring progress and rewarding good performance, suggests significant room for reform (Rasul et al., 2021).

A key question for governments is how to improve poor management and foster a culture of evidence-based, continuous improvement within public administrations. In the private sector, particularly among manufacturing and agricultural firms in low- and middle-income countries, business training programmes have shown promise (Bloom et al., 2012, de Mel et al., 2014; Iacovone et al., 2022). However, the evidence is mixed when it comes to sustainable public sector improvements (McKenzie and Woodruff, 2013; Campos et al., 2017). The evidence gap is even greater in the public sector, where little is known about how to build and sustain effective managerial practices within the state apparatus.

The intervention proposed in this project embeds managerial training --grounded in international research evidence-- into Ghana’s civil service performance diagnostics. While Ghana’s civil service operates an institutionalized appraisal system, including Annual Performance Reports (APRs) and Chief Directors’ Performance Assessments (CDPA), qualitative evidence --including reflections shared by senior staff of the Office of the Head of the Civil Service-- highlights its limitations. These diagnostic tools are widely perceived as perfunctory, compliance-oriented exercise, with limited engagement in systematic analysis of what worked, what failed, and why. As a result, the full potential of these tools to support learning and continuous improvement remains untapped.

Within the Ghanaian Civil Service, we propose testing innovative approaches to embedding research-based insights on bureaucratic performance directly into the core diagnostic process of the government, and thus into the reform of administration and the policymaking machinery. The intervention seeks to shift processes from compliance-driven reporting to tools that identify and address the root causes of performance gaps.

We are uniquely positioned to study how best to promote the uptake of effective managerial practices and foster a culture of evidence-based policymaking, thanks to our longstanding collaboration with the Office of the Head of the Civil Service (OHCS) in Ghana. This partnership builds on more than a decade of engagement with the analytical unit at the centre of Ghana’s public sector reform efforts, providing us with rare access to the institutional processes and decision-making structures that shape civil service performance. Crucially, this proposal responds directly to a formal request from OHCS—and the wider civil service—for evidence on how to track and assess performance more effectively, integrate feedback into planning, and support continuous improvement. By rigorously evaluating reforms that have been explicitly demanded by our government counterparts, we ensure both the policy relevance of our research and strong potential for sustained uptake of findings at the highest levels of the Ghanaian state.

The main intervention (T1) tests a module designed to improve how organizational directorates within ministries conduct performance diagnostics and to ensure that these diagnostics feed into meaningful actions and improve service delivery. At its core is a training and a system of regular feedback, grounded in evidence from organizational and personnel economics (Bloom and Van Reenen, 2007; Bloom et al., 2012; Bloom et al., 2015; Rasul and Rogger, 2018; Rasul et al., 2021).

The second intervention (T2) studies the inner workings of hierarchies. In the top-down group, we highlight the importance of leadership and we ask seniors to lead discussions. In the bottom-up group, we nudge seniors to move away from a hierarchical approach, by highlighting evidence on the benefits of worker voice for organizational performance, and ask workers to chair discussions on team performance assessments.
Intervention Start Date
2025-11-18
Intervention End Date
2027-02-28

Primary Outcomes

Primary Outcomes (end points)
1. Engagement
2. Collaboration
Primary Outcomes (explanation)
1. Engagement: Observations during group discussions (Who speaks longer? Which topics do they discuss? How deep do they go into topics?)
2. Collaboration: Measures of team cohesion/effectiveness playing behavioral games that represent non-routine tasks and require teams
to set strategies, share information and achieve consensus.

Secondary Outcomes

Secondary Outcomes (end points)
1. Beliefs and attitudes
2. Performance
Secondary Outcomes (explanation)
1. Beliefs and attitudes: Beliefs about best managerial practices and perception of hierarchical dynamics measured through surveys.
2. Performance: Expert review of action plans and administrative reports to measure task completion.

Experimental Design

Experimental Design
We are joining forces with the Office of the Head of the Civil Service (OHCS), who conducts the Annual Performance Review among all ministries of the civil service.

The first experimental arm (T1) tests an intervention designed to improve how organizational directorates within ministries conduct performance diagnostics and to ensure that these diagnostics feed into meaningful actions and improved service delivery. At its core is a training module grounded in evidence from organizational and personnel economics (Bloom and Van Reenen, 2007; Bloom et al., 2012; Bloom et al., 2015; Rasul and Rogger, 2018; Rasul et al., 2021). This training combines a theoretical introduction to diagnostic tools with descriptive evidence on the status of the civil service in terms of the managerial scoring system adapted from the World Management Survey for bureaucrats. The control group conducts training business-as-usual, while the treatment group receives this additional training module.

The second treatment arm (T2) experiments with engagement modalities within hierarchies in teams. The OHCS convenes discussion groups, including the senior and juniors of directorates, after the training. Participants reflect on the previous year with their teams and assess multiple aspects of their teams de facto administrative performance and processes. We randomly allocate whether the discussion is chaired by the manager or by a worker. In the top-down group, we highlight the importance of effective leadership, while in the bottom-up group we nudge seniors to move away from a hierarchical approach by highlighting evidence on the benefits of worker voice for organizational performance. We expect the top-down engagement to be more effective if we need senior buy-in. On the contrary, the bottom-up could be more effective if junior-led diagnosis improves information flows, coordination and cooperation [Freeman 1980, Freeman and Lazear 1995]. We randomise T2 among a sub-set of those allocated to T1.

The randomisation unit is the directorate within ministries. This is appropriate because (i) each directorate consolidates inputs from its constituent units into a single diagnostic report, submitted to the OHCS, and (ii) the intervention targets internal diagnostics and planning, which involve substantial interaction within directorates but limited interaction across them, minimizing spillovers. To preserve internal coherence within these units, all units within a given directorate are therefore assigned to the same treatment arm, receiving identical training content and support in the structure of their discussions.

OHCS staff acts as facilitators to ensure the intervention follows research protocols.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer using Stata.
Randomization Unit
Directorates within ministries. All units and bureaucrats are assigned to the same treatment arm to which their directorate is allocated.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
170 directorates across 23 ministries. The randomisation is stratified by ministry.
Sample size: planned number of observations
At least 3 staff per directorate, so 510 participants at a minimum.
Sample size (or number of clusters) by treatment arms
31 directorates allocated to pure control (training and discussions business as usual)
33 directorates allocated to the training + control discussions
52 directorates allocated to the training + top-down engagement
54 directorates allocated to the training + bottom-up engagement
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Assuming continuous, standardized outcomes (mean = 0, SD = 1), we estimate the following minimum detectable effects (MDEs) for staff-level outcomes if we only get data from the minimum number of observations (3) per cluster: 0.29 (ICC 0.01), 0.31 (ICC 0.10) and 0.33 (ICC 0.15).
IRB

Institutional Review Boards (IRBs)

IRB Name
UNIVERSITY OF GHANA ETHICS COMMITTEE FOR THE HUMANITIES
IRB Approval Date
2025-02-19
IRB Approval Number
ECH 095/ 24-25