Public goods allocations, aid information, and transparency in the aftermath of the 2015 Nepal earthquake

Last registered on July 20, 2015

Pre-Trial

Trial Information

General Information

Title
Public goods allocations, aid information, and transparency in the aftermath of the 2015 Nepal earthquake
RCT ID
AEARCTR-0000777
Initial registration date
July 20, 2015

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
July 20, 2015, 12:27 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
College of William & Mary

Other Primary Investigator(s)

PI Affiliation
AidData; College of William & Mary

Additional Trial Information

Status
In development
Start date
2015-07-21
End date
2016-04-01
Secondary IDs
Abstract
This study will examine aid allocation decisions in a sample of policy makers from various governmental and non-governmental agencies in Kathmandu, Nepal, in the aftermath of the 2015 earthquake. Although much aid and relief material has arrived in Nepal after the earthquake, there is concern that aid materials may not be reaching the people who actually need it. This study will examine several factors which may influence decision making of policymakers in order to determine now real-life decision makers consider various forms of information. Although decisions regarding the allocation of aid are complex and require decision-makers to analyze a large amount of information regarding which populations are in need, and where previous aid has been provided, the availability of information does not guarantee its use in policy decisions. Indeed, many studies have identified a gap between the belief of social scientists that the information they produce should be used to inform policymaking and the real life behavior of individual policy-makers. Thus, this study will examine how a sample of real-world policy makers use informational input to inform their decision making process in the aftermath of a natural disaster.
External Link(s)

Registration Citation

Citation
BenYishay, Ariel and Joanna Schug. 2015. "Public goods allocations, aid information, and transparency in the aftermath of the 2015 Nepal earthquake." AEA RCT Registry. July 20. https://doi.org/10.1257/rct.777-1.0
Former Citation
BenYishay, Ariel and Joanna Schug. 2015. "Public goods allocations, aid information, and transparency in the aftermath of the 2015 Nepal earthquake." AEA RCT Registry. July 20. https://www.socialscienceregistry.org/trials/777/history/4808
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2015-07-21
Intervention End Date
2016-03-01

Primary Outcomes

Primary Outcomes (end points)
The key outcome variables in this experiment are the aid allocations made in each condition, and within-subject changes in allocations made across the experimental conditions.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This experiment will examine how different types of information influence decisions made by governmental and non-governmental policymakers regarding international aid allocation in the aftermath of the 2015 earthquake.
Experimental Design Details
This experiment will examine the impact of information type and transparency on allocations made by policymakers at governmental and non-governmental agencies in Nepal. The experiment will follow a 4 (Information type: Control, Placebo, Need, Aid) x 2 (Transparency: Private vs. Transparent decisions).

Information type will be manipulated by providing subjects with maps depicting different types of information about the regions to which aid they can allocate aid (described in further detail below). After viewing maps in each condition, will decide how much of a hypothetical US $30 million allocation to distribute to each of ten districts presented. Participants will be informed that they will be paid for their participation in the study, and will be able to donate all or some of their payment based on the actual proportion they decided to contribute in one of the conditions (randomly chosen at the end of the study).

In the first part of the study (the private decision treatment) all participants will first complete a control condition. This condition will serve as a baseline to examine the impact of the other treatment conditions. In the control condition, the map shown to participants will not contain any information, and will simply depict the ten regions to which aid can be allocated.

After the control condition, participants will then complete the aid allocations under three additional information treatments: Aid, Need, and Placebo. In the Aid condition, participants will be shown maps indicating how much Aid funding had been provided to each of the ten districts by the Prime Minister’s relief. In the Need condition, participants will be shown maps indicating the total value of disaster effects for each of the ten districts. Finally, in the Placebo condition, participants will be shown maps with information irrelevant to aid allocations, in this case, the percentage of children receiving recommended vaccinations in each district. These three conditions will be presented in random order following the control condition.

The second part of the study consists of a ‘transparency’ treatment. In this part of the study, participants will be informed that their names and decisions will be made public in the final report of the study, without any other demographic or survey response information. Only the decisions of the participants in the ‘transparency’ condition will have identifying information (specifically, the participant’s name and the districts they contributed aid resources to), and this will only be done with the full consent of the participant. Participants will opt into the second part of the study, and informed consent will be separately obtained from participants. In this condition, participants will complete aid allocations for each of the above conditions (Control, Aid, Need, Placebo) under conditions of transparency. As in the non-transparency condition, participants will first complete the control condition, and then the following three conditions will be presented in random order. Participants who choose not to opt into the transparency condition for any reason will also complete these four conditions, but will be asked to make their decisions imagining that their decisions would be made public.

After all allocation tasks have been completed, participants will be given their payment (Rs. 3000), and will have the opportunity to donate all or portion of their payment, in increments of Rs. 300. This donation will be split amongst the districts according to percentages from the one of the eight allocation tasks participants, randomly chosen. The donated amount will be provided to the regions via partner aid organizations.

Prior to and following the eight allocation decision tasks, participants will fill out brief questionnaires. Prior to beginning the study participants will answer questions regarding the organization which they are employed at, as well a several questions assessing how much they were affected by the 2015 earthquake. The pre-experiment survey will also assess participants’ attitudes toward the Government of Nepal, International Aid Agencies, and Civil Society. Next, the participants will be asked to indicate whether they have visited each district to be included as an allocation target, and rank each district according to how much they think each district was impacted by the disaster and how much aid they think each district received. Following the allocations decision tasks, participants will fill out a separate short survey assessing attitudes regarding transparency, and beliefs about the level of transparency in the international aid agencies, the Nepal government, and civil society. They will also fill out a short scale asking participants to rate factors (i.e., concern for reputation, responsibility felt toward affiliated districts, the extent to which they considered data provided in the maps, trust in the map information, and strategic concerns) they considered while making allocation decisions.
Randomization Method
Randomization will be accomplished via Qualtrics randomization tool.
Randomization Unit
Randomization or conditions will be on an individual level using a within-subject design.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
150-200 participants
Sample size: planned number of observations
150-200
Sample size (or number of clusters) by treatment arms
Nepal. We expect to recruit approximately 150-200 participants, depending on response rates.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
WILLIAM AND MARY PROTECTION OF HUMAN SUBJECTS COMMITTEE
IRB Approval Date
2015-06-23
IRB Approval Number
PHSC-2015-06-23-10453-jschug

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