Honduras - Farmer Training and Development

Metadata Updated: March 13, 2021

The evaluation design for this activity changed over the course of the evaluation due to problems faced during implementation. In its original conception, the independent evaluator, NORC, and MCA-Honduras planned to use a randomized experimental design involving randomized assignment of communities (aldeas) to treatment. Following a series of implementation problems, the final approach used was an econometric model that relied on a model-based approach to impact evaluation.
As raised in the evaluator report, one key assumption is that the causal models are correct. This is based on the assumption that all important unobserved variables affecting selection, such as proven ex-ante ability to grow horticultural crops, are time invariant (i.e., are constant between the two survey rounds).

Assumptions of the econometric model are: 1. The stable unit treatment value assumption (SUTVA, no macro effects assumption, partial equilibrium assumption) is made. This means that the effect (potential outcomes) on one individual are not affected by potential changes in the treatment exposure of other individuals. This implies, for example, that the program is not so large that the outcomes are correlated (e.g., that farmers would produce such a large amount of horticultural crops that the market would collapse). 2. The causal models are correct. The key assumption here is that all important unobserved variables affecting selection are time invariant (i.e., are constant between the two survey rounds). 3. The program intervention represents a “forced change” in (experimental control of) the agricultural system in Honduras. 4. The half of the country treated before this evaluation began is similar to the half yet to be treated, with respect to relationships among the important causal variables represented in the causal model underlying the statistical analysis.

The exposure period was 12-36 months.

Results from the final evaluation report include: the Model-based approach estimated net income change from horticultural crops is on average USD 600 higher for program participants than for nonparticipants. Input expenditures on these crops increased far more than they did for basic crops, implying a higher level of activity in cultivation of high value crops among program farmers. The results suggest a corresponding decline among program farmers in income from basic crops, as might be expected with changing crop mix; however, this decline is not statistically significant. However, the program also did not appear to have had a positive effect on the proportion of farmers growing horticultural crops. This could well be because the implementer primarily chose as program participants farmers who showed a proven ability to grow horticultural crops. It is likely that increments in income from horticultural crops came from increased production among farmers already growing horticultural crops and not from farmers who switched over for the first time.

Even though there was an increase in income from horticultural crops, the evaluator did not find a corresponding statistically significant increase in net household income or household expenditures/consumption, as might have been expected.

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Dates

Metadata Created Date November 12, 2020
Metadata Updated Date March 13, 2021

Metadata Source

Harvested from MCC Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date March 13, 2021
Publisher Millennium Challenge Corporation
Unique Identifier Unknown
Maintainer
Identifier DDI-MCC-HND-IE-AG-2014-v1
Data Last Modified 2015-09-09
Public Access Level public
Bureau Code 184:03
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 99ecbb2a-1853-4a91-a245-559fa661900c
Harvest Source Id 23cd936b-e509-46f3-af7f-71c4ab01a514
Harvest Source Title MCC Data.json
Homepage URL https://data.mcc.gov/evaluations/index.php/catalog/52
License https://data.mcc.gov/terms-and-conditions.php
Program Code 184:000
Source Datajson Identifier True
Source Hash 73009b0553f9e45492f1983b1ea0005815068f13
Source Schema Version 1.1

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