(De)centralised Pricing for Public Services: Evidence from Tanzania

Last registered on January 10, 2016

Pre-Trial

Trial Information

General Information

Title
(De)centralised Pricing for Public Services: Evidence from Tanzania
RCT ID
AEARCTR-0000979
Initial registration date
January 10, 2016

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
January 10, 2016, 5:47 AM EST

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

Locations

Primary Investigator

Affiliation

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2015-12-08
End date
2016-03-31
Secondary IDs
Abstract
Public service delivery programs in developing countries typically perform poorly. A common feature of such programs is that implementation is delegated to frontline agents who operate in environments that are difficult to monitor. Existing research that investigates this information asymmetry primarily focuses on effort-related moral hazard to explain inefficiencies in service delivery: In the absence of performance incentives and when effort is unobservable, agents will exert lower effort, and hence serve fewer recipients, than is socially optimal.
This project investigates an alternative source of moral hazard relating to rent-seeking behaviour. As existing research has shown that rent-seekers use sophisticated pricing strategies when deciding about side-payments (Olken & Barron, 2009), it is possible that agents knowingly withhold quantities in order to extract rents from recipients with a high willingness to pay. In the terminology of Bandiera et. al. (2009), such behaviour leads to active waste in public service provision and reducing it requires increased administrative control in the form of price regulation.
On the other hand, increasing control can also reduce the outreach of public service delivery, especially when agents aren’t using discretion for rent seeking. For example, agents typically hold superior information about local demand and cost conditions, which allows them to use discretion in order to distribute co-payments more efficiently among program recipients.

Given these countervailing forces, understanding the objectives and pricing mechanisms used by frontline public service providers, and evaluating the effectiveness of theory-based regulation interventions, becomes an empirical question. This research project will address those questions in the context of public delivery of chicken vaccinations to smallholder farmers in Tanzania. The Tanzanian government maintains a vaccination program that delivers a novel Newcastle Disease vaccine for chicken to smallholder farmers that don’t have access to private markets. This setting is ideally suited to explore the aforementioned questions, as during such campaigns frontline staff is tasked with collecting co-payments from farmers to cover last-mile delivery costs. Currently there is no formal service charge schedule that regulates the size of those payments, giving rise to a status quo that allocates full discretion to the frontline agent. During the upcoming vaccination campaign in early 2016, agents will be randomly exposed to price regulation in order to assess the effect of increased control on service provision levels.



External Link(s)

Registration Citation

Citation
Blum, Florian. 2016. "(De)centralised Pricing for Public Services: Evidence from Tanzania." AEA RCT Registry. January 10. https://doi.org/10.1257/rct.979-1.0
Former Citation
Blum, Florian. 2016. "(De)centralised Pricing for Public Services: Evidence from Tanzania." AEA RCT Registry. January 10. https://www.socialscienceregistry.org/trials/979/history/6509
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2016-01-11
Intervention End Date
2016-02-29

Primary Outcomes

Primary Outcomes (end points)
- Number of farmers served
- Chickens vaccinated
- Prices charged by service providers
- Immunity data and disease outbreak data in chicken (if the budget post intervention allows to collect such data)
- Types of farmers served
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Service providers will be subject to two orthogonally assigned treatments:

Treatment 1: Price-Cap Regulation - Service providers will not be allowed to charge more than 80 TSh per chicken served
Treatment 2: Fixed Cost - Service providers are responsible to pay a fixed cost of 25'000 TSh to participate in the campaign. To avoid challenges relating to liquidity constraints this charge will be collected post-intervention.
Experimental Design Details
Randomization Method
Randomisation done in office by a computer
Randomization Unit
To avoid spillovers, the unit of randomisation was chosen at the ward level, which is the level at which livestock officers are organised. There are, on average, 1.8 livestock officers per ward.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
400 wards
Sample size: planned number of observations
720 livestock officers
Sample size (or number of clusters) by treatment arms
180 control, 180 price cap only, 180 fixed cost only, 180 fixed cost and price cap
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
LSE Research Ethics Committee
IRB Approval Date
2015-12-04
IRB Approval Number
FWA00004881

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials