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Field
Trial Status
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Before
in_development
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After
completed
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Field
Trial End Date
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Before
June 30, 2025
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After
December 31, 2025
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Field
JEL Code(s)
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Before
d80, D82, F63, O17
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After
D80, D82, F63, O17
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Field
Last Published
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Before
December 29, 2024 11:21 PM
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After
February 23, 2026 09:37 AM
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Field
Intervention Start Date
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Before
January 20, 2025
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After
September 01, 2025
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Field
Intervention End Date
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Before
February 05, 2025
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After
October 15, 2025
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Field
Primary Outcomes (End Points)
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Before
safety levels of sour milk samples, weekly revenue
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After
1. Safety levels of soured milk samples
2. Weekly revenue
3. Adoption of 14 safe handling practices
4. Willingness-to-pay for masks, head caps, cleaning cloths, and lactic ferments.
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Field
Primary Outcomes (Explanation)
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Before
Safety levels will be measured in terms of differences in microbial contamination of sour milk samples between treated processors and untreated ones.
weekly revenues will be measured by assessing the differences in sales between processors in the treated group who receive training and display certification in their shop and processors in the control group.
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After
1. Samples of soured milk will be collected during follow-up surveys and tested for E.coli and Enterobacteriaceae by our partner institute to determine if both levels are below the nationally accepted threshold. We will analyze both the continuous measures of contaminant levels, and create a binary safety score equal to 1 if the sample satisfies safety levels for both parameters (i.e. is safe to consume). Safety levels changes will be measured in terms of differences in microbial contamination of soured milk samples between treated processors and untreated ones.
2. Weekly revenues will be measured by assessing the differences in sales between processors in the treated group who receive training and display certification in their shop and processors in the control group.
3. In each shop, the respondent will be asked a set of questions about the shop’s fermentation processes and equipment use. Along with clean equipment and proper storage, when observable, we will create binary variables for each hygiene and safety variable recorded and construct an index where each respondent’s score will be the addition of the number of safe hygiene practices they adopt . This index will be compared between treated and control groups.
4. Willingness-to-pay for safety equipment (masks, head caps, cleaning cloths, lactic ferments) will be measured by assessing the differences in shop respondents’ willingness-to-pay for each item between treated processors and untreated ones.
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Field
Experimental Design (Public)
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Before
We will conduct a randomized controlled trial to evaluate the impacts of safety training on the adoption of safe handling practices and the safety level of Neex Soow producers’ sour milk. Using 360 participants, we will conduct a baseline survey to understand processors' production, business, and safety practices. We will further assess participants’ demand for safer inputs such as masks, head caps, cleaning sheets, and lactic ferments by evaluating their willingness to pay for each item using the Becker-DeGroot-Marschack auction mechanism. Following the baseline survey, half of the participants will receive the treatment. Research partners from the Food Technology Institute (ITA) in Senegal will design a 3-day theoretical and practical training intervention to train treated participants on proper handling practices in milk processing. We will conduct a follow-up survey 6 months after baseline surveys and collect milk samples from all 360 participants to be tested for microbial contamination by ITA.
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After
We will conduct a randomized controlled trial to evaluate the impacts of safety training on the adoption of safe handling practices and the safety level of Neex Soow producers’ sour milk. Using 360 participants, we will conduct a baseline survey to understand processors' production, business, and safety practices. Randomization was done at the neighborhood level (clustered randomized controlled trial), and stratified by commune. We will further assess participants’ demand for safer inputs such as masks, head caps, cleaning sheets, and lactic ferments by evaluating their willingness to pay for these 4 items using the Becker- DeGroot-Marschak auction mechanism. Following the baseline survey, half of the participants will receive the treatment. Research partners from the Food Technology Institute (ITA) in Senegal will design a 3-day theoretical and practical training intervention to train treated participants on proper handling practices in milk processing. We will conduct a follow-up survey 6 months after baseline surveys and collect milk samples from all 360 participants to be tested for microbial contamination by ITA.
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Field
Planned Number of Clusters
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Before
40 neighborhoods
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After
40 communes, 148 neighborhoods
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Field
Planned Number of Observations
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Before
360
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After
360 soured milk processors
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Field
Sample size (or number of clusters) by treatment arms
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Before
180 sour milk processors control, 180 sour milk processors safety training.
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After
1. T (Treatment – training): 180 soured milk processors in 148 neighborhoods
2. C (Control): 180 soured milk processors in 148 neighborhoods
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Field
Secondary Outcomes (End Points)
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Before
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After
1. Certificate display
2. Price changes
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Field
Secondary Outcomes (Explanation)
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Before
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After
1. To assess compliance and adoption of treatment, we will assess the display of certificates between respondents assigned to receive training and those from the control group. Certificate display is an observable variable and is equal to 1 if the certificate is visibly displayed in front of the shop.
2. Price may increase if consumers recognize the higher product quality and sellers capitalize on the higher quality.
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Field
Pi as first author
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Before
No
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After
Yes
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Field
Public locations
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Before
No
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After
Yes
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