Quantifying enumerator effects in firm surveys

Last registered on October 04, 2023
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Pre-Trial

Trial Information

General Information

Title
Quantifying enumerator effects in firm surveys
RCT ID
AEARCTR-0012225
Initial registration date
October 03, 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
October 04, 2023, 5:05 PM EDT

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

Locations

Country
Viet Nam
Region

Primary Investigator

Name
Yuki Higuchi
Affiliation
Sophia University
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Other Primary Investigator(s)

PI Name
Mari Tanaka
PI Affiliation
Hitotsubashi University
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PI Name
Vu Hoang Nam
PI Affiliation
Foreign Trade University
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PI Name
Ngan Bich Le
PI Affiliation
Hitotsubashi University
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Additional Trial Information

Status
On going
Start date
2023-09-30
End date
2024-03-31
Keywords
Firms & Productivity
Additional Keywords
assessor influence; survey experiment
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Commercial agglomeration is observed in many parts of the world. There are several theoretical explanations as to why commercial clusters occur, but empirical research is limited. This study attempts to examine the mechanisms of commercial agglomeration by surveying wholesalers located in one of the major wholesale markets in an emerging Asian country. When the market was destroyed by a fire in 1994 and rebuilt in 1997, about 1,400 slots were randomly assigned to garment wholesalers by a lottery. By collecting historical data over the past 25 years, we will analyze how the initial random allocation was transformed into the clustering of product types observed today. By taking advantage of the setting where a large number of similar-sized firms in the same industry operate, we conduct a survey experiment by randomly assigning enumerators to each sample firm to quantify the enumerator effect in a firm survey.
External Link(s)

Registration Citation

Citation
Higuchi, Yuki et al. 2023. "Quantifying enumerator effects in firm surveys." AEA RCT Registry. October 04. https://doi.org/10.1257/rct.12225-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We will randomly assign enumerators to each sample firm.
Intervention Start Date
2023-09-30
Intervention End Date
2023-10-14

Primary Outcomes

Primary Outcomes (end points)
Response rate and quantity and quality of collected data.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomly assign enumerators to each sample firm.
Experimental Design Details
Randomization Method
Randomization is done in the office by a computer.
Randomization Unit
Firm.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Ten enumerators.
Sample size: planned number of observations
Approximately 1100 firms.
Sample size (or number of clusters) by treatment arms
Approximately 110 sample firms are assigned to each enumerator.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Institutional Review Board of Hitotsubashi Universiy
IRB Approval Date
2023-08-29
IRB Approval Number
2023D022
Analysis Plan

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