Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture
We show analytically and empirically that non-classical measurement errors in the two key variables in a hypothesized relationship can bias the estimated relationship between them in any direction. Furthermore, if these measurement errors are correlated, correcting for either one alone can aggravate...
| Autores principales: | , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/146659 |
| _version_ | 1855538973550575616 |
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| author | Abay, Kibrom A. Abate, Gashaw T. Barrett, Christopher B. Bernard, Tanguy |
| author_browse | Abate, Gashaw T. Abay, Kibrom A. Barrett, Christopher B. Bernard, Tanguy |
| author_facet | Abay, Kibrom A. Abate, Gashaw T. Barrett, Christopher B. Bernard, Tanguy |
| author_sort | Abay, Kibrom A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We show analytically and empirically that non-classical measurement errors in the two key variables in a hypothesized relationship can bias the estimated relationship between them in any direction. Furthermore, if these measurement errors are correlated, correcting for either one alone can aggravate bias in the parameter estimate of interest relative to ignoring mismeasurement in both variables, a ‘second best’ result with implications for a broad class of economic phenomena of policy interest. We illustrate these results empirically by demonstrating the implications of mismeasured agricultural output and plot size for the long-debated (inverse) relationship between size and productivity. |
| format | Artículo preliminar |
| id | CGSpace146659 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1466592025-11-06T07:21:42Z Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture Abay, Kibrom A. Abate, Gashaw T. Barrett, Christopher B. Bernard, Tanguy household surveys accuracy measurement field size smallholders productivity agricultural development wheat errors We show analytically and empirically that non-classical measurement errors in the two key variables in a hypothesized relationship can bias the estimated relationship between them in any direction. Furthermore, if these measurement errors are correlated, correcting for either one alone can aggravate bias in the parameter estimate of interest relative to ignoring mismeasurement in both variables, a ‘second best’ result with implications for a broad class of economic phenomena of policy interest. We illustrate these results empirically by demonstrating the implications of mismeasured agricultural output and plot size for the long-debated (inverse) relationship between size and productivity. 2018-02-15 2024-06-21T09:07:58Z 2024-06-21T09:07:58Z Working Paper https://hdl.handle.net/10568/146659 en https://hdl.handle.net/10568/148474 https://hdl.handle.net/10568/148002 https://hdl.handle.net/10568/148025 https://hdl.handle.net/10568/153895 Open Access application/pdf International Food Policy Research Institute Abay, Kibrom A.; Abate, Gashaw T.; Barrett, Christopher B.; and Bernard, Tanguy. 2018. Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture. IFPRI Discussion Paper 1710. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/146659 |
| spellingShingle | household surveys accuracy measurement field size smallholders productivity agricultural development wheat errors Abay, Kibrom A. Abate, Gashaw T. Barrett, Christopher B. Bernard, Tanguy Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture |
| title | Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture |
| title_full | Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture |
| title_fullStr | Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture |
| title_full_unstemmed | Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture |
| title_short | Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture |
| title_sort | correlated non classical measurement errors second best policy inference and the inverse size productivity relationship in agriculture |
| topic | household surveys accuracy measurement field size smallholders productivity agricultural development wheat errors |
| url | https://hdl.handle.net/10568/146659 |
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