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Trading Trash on Tricycles

Last registered on October 06, 2025

Pre-Trial

Trial Information

General Information

Title
Trading Trash on Tricycles
RCT ID
AEARCTR-0015750
Initial registration date
October 05, 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
October 06, 2025, 3:27 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
London School of Economics and Political Science

Other Primary Investigator(s)

PI Affiliation
London School of Economics and Political Science

Additional Trial Information

Status
In development
Start date
2025-10-07
End date
2025-10-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Cities in developing countries resort to unregulated markets for solid waste collection and disposal. In Accra, Ghana, thousands of informal door-to-door collectors travel the city searching for customers daily, and dispose of the collected waste at official waste transfer stations or uncontrolled dumpsites. The latter hold a large market share (70% of the solid waste collected by informal collectors) but present important environmental and public health risks. In this field experiment we test whether pricing regulation can steer the market away from dumpsites and towards transfer stations, where pollution is mitigated.
External Link(s)

Registration Citation

Citation
Banares-Sanchez, Ignacio and Yoshiki Wiskamp. 2025. "Trading Trash on Tricycles." AEA RCT Registry. October 06. https://doi.org/10.1257/rct.15750-1.0
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Experimental Details

Interventions

Intervention(s)
This trial studies how responsive informal waste collectors are to price subsidies at waste transfer stations in their choice of where to dispose of their collected waste. Treated collectors receive daily payments at disposal sites via mobile money. Collectors daily choices are monitored via daily forms, site visits, and a self-developed smartphone application.
Intervention (Hidden)
This field experiment builds on ongoing work and several rounds of data collection with households and collectors in Accra, which have allowed us to estimate a structural model of waste collection and disposal in the Greater Accra Metropolitan Area. Counterfactual results on second-best environmental policies suggest that halving transfer stations fees can correct environmental externalities unpriced by the market up to the planner's choice. In this field experiment, we seek to tests the conjectured effectiveness of pricing regulation, either validating our current estimates obtained with data for the current equilibrium, or helping us understand if there may be resistance to environmental policy that creates big shifts from the status quo. We will examine how collectors respond to large relative price changes at transfer stations and whether they face any new barriers to do so.
Intervention Start Date
2025-10-12
Intervention End Date
2025-10-26

Primary Outcomes

Primary Outcomes (end points)
Disposal site choice (categorical), Disposed of at formal transfer station (0/1)
Primary Outcomes (explanation)
Via daily forms and registry's at disposal sites, we will track the choice of disposal site for each collector in our sample. This is a categorical variable which covers all disposal sites in the Greater Accra Metropolitan Area, based on previous field assessments. Based on this variable, we will construct a dummy variable that indicates if a collector disposed of the waste at one of the operational transfer stations in the city.

Secondary Outcomes

Secondary Outcomes (end points)
Number of customers, revenue, collection price per transaction, disposal fee, reasons for choosing site, recycling revenue, collection locality change.
Secondary Outcomes (explanation)
Via daily forms we will gather data on number of customers, revenue in GHS, disposal fee in GHS. In a smartphone application we developed for the study, collectors can register their collection transactions. Collectors will be incentivised to report their data daily and accurately. This provides us real-time transaction data on collection prices and their location. We will also construct a complementary measure on daily revenues and number of customers too based on the transactions data. Finally, to assess whether dumpsite operators resist losing market share and exert any soft pressure on collectors who may be willing to change their choice of disposal site, we add a question on the reasons behind choosing a disposal site daily. We add "Leaders' advice" and "Dumpsite operators' advice" as potential reasons, amongst fees, waiting time, commuting distance, and others. This variable will allow us to capture if a shift out of the existing equilibrium leads to new forces that may challenge the effectiveness of environmental regulation and are not currently present in the data.

Experimental Design

Experimental Design
Treatment assignment (timing of price subsidies): The experiment uses a randomised design to assign the timing of payments at disposal sites for the 400 participating waste collectors. 200 collectors randomly assigned to the treatment 1 group receive subsidy payments at disposal sites during the first week of the intervention. The remaining 200 collectors are the control group during the first week. At the end of the week, the collectors assigned to the control group during the first week start receiving the payment for a period of 1 additional week, while the treatment 1 collectors stop receiving the payment during this second week. We track outcomes daily for both groups via different tools: a daily form administered by enumerators, registries upon payments at disposal sites, and a self-developed smartphone application where collectors register their waste collection transactions.

Intervention details: In both weeks, the treatment consists of payments at disposal sites of different quantities. At dumpsites, collectors may receive 10 or 15 GHS daily. At formal waste transfer stations, collectors are eligible to claim a subsidy payment of 100 GHS daily. The intervention thus induce exogenous variation in the relative prices of disposal sites, and more specifically, it makes formal solid waste disposal substantially cheaper in the city. The payment will be conducted via mobile money daily.

We will estimate ITT effects on formal disposal at transfer stations (primary outcome) and on additional outcomes potentially affected by this choice (i.e. number of customers, revenues, collection location, collection prices). We will do this aggregating at treatment period (week 1 and week 2 are the 2 periods), but also by plotting raw shares over intervention days. During baseline we will gather information on disposal site choice during the last 7 days and report daily event studies (using the first day of receiving payments as reference period) for formal disposal as the outcome variable.

We will estimate ITT effects on whether any soft power from leaders or dumpsite operators is a reason for the choice of disposal site. Finally, we will test for heterogeneity of the ITT effect on disposal at transfer station by pre-existing distance between collection area and transfer stations.

We will use assignment to the treatment as an instrument for disposal fees and estimate TOT effects to understand the passthrough of lower disposal fees on number of customers and collection prices.

We will use the assignment to treatment as an instrument for route profits and estimate the taste parameters governing collectors’ route choices in a collection-disposal site discrete choice framework via GMM. This will complement the current structural approach we use to estimate our full model of waste collection and disposal.
Experimental Design Details
Details and rationale for the experimental design: In our experimental design, the treatment assignment determines the timing of payments, and all collectors in the study eventually receive a payment. This is done with one main objective. It incentivises participation in our daily data collection efforts for both treatment and control collectors, reducing the risk of differential attrition across groups. Waste collectors in Accra work in the same disposal sites and have open channels of informal communication and some are members of an association. Having a pure control group would have posed an important risk of attrition or non-participation, as control collectors would have learned about the intervention and potentially refused to participate in the daily data collection efforts. The intervention would have also presented challenges for the collectors' association, whose collaboration is fundamental to ensure both collectors and enumerators can operate without interference.

The rationale for adding a small subsidy to dumpsites is the same. It is done to ensure that the relevant stakeholders allow for the project and data collection efforts to take place. Additionally, it allows us to estimate in a straightforward way the impact of lower disposal fees on collector outcomes beyond site choices. As treated collectors can claim fees subsidies at all sites, independently on their site choice, we can implement an instrumental variables approach to estimate the consequences of lower disposal fees.
Randomization Method
Randomisation done in office by a computer after baseline registry is conducted.
Randomization Unit
Individual (waste collector)
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
400 collectors
Sample size: planned number of observations
400 collectors (daily data collection for 14-15 days - 5600 collector-day observations)
Sample size (or number of clusters) by treatment arms
200 collectors control, 200 collectors treatment (disposal fee subsidy) for 1 week. At the end of the week the treatment switches and collectors in initial control group start getting the price subsidy, while treatment collectors stop receiving it. The treatment assignment defines the timing at which collectors receive the payment but all 400 collectors participating in the study receive the price subsidy -- either in week 1 or week 2.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
London School of Economics & Political Science (LSE) IRB #1
IRB Approval Date
2025-07-14
IRB Approval Number
536960

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