Recalling Extra Data
A Replication Study of Finding Missing Markets
Bibliographic Data
| ID | 20303246 |
|---|---|
| Authors | Benjamin D K Wood (0000-0002-3942-4025, International Initiative for Impact Evaluation, Washington, DC, USA, corresponding author), Michell Dong (International Initiative for Impact Evaluation, Washington, DC, USA) |
| Year | 2019 |
| Volume | 55 |
| Issue | 5 |
| Pages | 926-945 |
| Publication date | 2019-05-04 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Journal of Development Studies (JOURNAL) |
| Journal identifiers | ISSN: 0022-0388 • E-ISSN: 1743-9140 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00220388.2018.1506574 |
| OpenAlex | W2183507787 |
| Language | EN |
| References cited | 9 |
We reexamine some of the strongest evidence supporting cash-crop-based development strategies by replicating Nara Ashraf, Xavier Giné and Dean Karlan’s ‘Finding missing markets (and a disturbing epilogue): Evidence from an export crop adoption and marketing intervention in Kenya’, published in the American Journal of Agricultural Economics. The original evaluation, of an agricultural export crop promotion intervention in Kenya, is one of the few impact evaluations exploring how agricultural commercialisation affects household outcomes. Our attempt to independently reconstruct the evaluation using the existing raw data finds the original results generally robust to replication, albeit with much lower coefficients on some of the main outcomes of interest. We explore the evaluation’s theory of change, focusing on the result that first-time export crop adopters benefit more from agricultural commercialisation than agricultural households that were already producing export crops. We also examine questions around adequate power requirements and potential recall and or courtesy bias within the analysis. Reproducing these original results is relevant both to encourage policymakers to use this evidence and to highlight knowledge gaps for future research
Agricultural productivity · Agriculture · Business · Early adopter · Econometrics · Economics · Geography · Intervention (counseling) · Missing data · Raw data · Replication (statistics) · Sample (material) · Statistics · Value (mathematics) · Agricultural Innovations and Practices · Income, Poverty, and Inequality · Marketing · Mathematics · Microfinance and Financial Inclusion · Psychology
| Highly cited | No |
|---|