De Jure vs De Facto Tax Enforcement: Evidence from Indonesia

Last registered on August 11, 2021

Pre-Trial

Trial Information

General Information

Title
De Jure vs De Facto Tax Enforcement: Evidence from Indonesia
RCT ID
AEARCTR-0008056
Initial registration date
August 11, 2021

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
August 11, 2021, 5:46 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
MIT

Other Primary Investigator(s)

PI Affiliation
Universitas Indonesia
PI Affiliation
Harvard University
PI Affiliation
J-PAL at MIT

Additional Trial Information

Status
On going
Start date
2021-04-01
End date
2022-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In many contexts, the taxes firms and individuals pay in practice are different from the taxes they are required to pay by law. While there is extensive research on taxpayer evasion and avoidance, there is little research on the role that tax officers’ behavior and beliefs play in de facto tax enforcement. What roles do tax officers’ revenue targets and beliefs about equity and/or fairness in taxation play in their enforcement strategies, and how do taxpayer characteristics, the costs of enforcement, and/or their bosses’ views mediate them? How does differential enforcement affect horizontal and/or vertical equity, or the effective marginal tax rates taxpayers across the income distribution pay? This survey experiment investigates the effects of priming tax officers to think about equity and fairness in taxation, and/or the effect of being assigned higher tax revenue targets, on their enforcement strategies. The study estimates treatment effects in hypothetical scenarios, and investigates how this changes when tax officers are primed to think about redistribution, and when they are under pressure to raise more money. We subsequently plan to investigate tax officers’ enforcement behavior in the real world by matching survey responses to anonymized tax administrative data on tax officer monitoring and compliance activities and taxpayer filing and payments. This study is being conducted in partnership with the Indonesian government who implemented the survey as part of their regular operations.
External Link(s)

Registration Citation

Citation
Basri, M. Chatib et al. 2021. "De Jure vs De Facto Tax Enforcement: Evidence from Indonesia." AEA RCT Registry. August 11. https://doi.org/10.1257/rct.8056-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2021-04-01
Intervention End Date
2021-06-01

Primary Outcomes

Primary Outcomes (end points)
Taxpayer rank in survey experiment
Primary Outcomes (explanation)
Taxpayer rank is the tax officer’s rank of the hypothetical taxpayer in a taxpayer enforcement targeting exercise in the survey experiment. Rankings are normalized to a 0 to 1 scale, where 1 is the highest priority taxpayer to follow up with and 0 is the lowest priority taxpayer to follow up with.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Out of a sample of 3,064 tax officers from 267 tax offices, 1,019 were randomly assigned to the beliefs treatment group, 1,533 to the higher revenue target, 509 to both treatments, and 1,021 to the comparison group.
Experimental Design Details
Randomization Method
Randomization done in survey by a computer (Qualtrics)
Randomization Unit
Tax officer
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
23,270 taxpayer rankings, 3,064 tax officers
Sample size: planned number of observations
23,270 taxpayer rankings, 3,064 tax officers
Sample size (or number of clusters) by treatment arms
1,019 tax officers were randomly assigned to the beliefs treatment group. 1,533 tax officers were assigned to the higher revenue target, and 1,531 to the low revenue target. 509 were assigned to both treatments, and 1,021 were assigned to the pure comparison group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard CUHS
IRB Approval Date
2021-03-16
IRB Approval Number
IRB19-1880
IRB Name
MIT COUHES
IRB Approval Date
2021-03-04
IRB Approval Number
E-3180
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

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