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| Kelly, Valerie A.; Hopkins, Jane; Reardon, Thomas; Crawford, Eric W.. |
| A wide variety of multilateral and bilateral agencies, private sector firms, and African governments have a need for high quality, reliable data on agricultural productivity. This paper identifies numerous situations where poor data lead to incorrect estimates of African land and labor productivity. The paper argues that better coordination of macro, meso, and micro data collection, reporting, and analysis efforts can lower costs and improve our ability to monitor trends and to quantify determinants of agricultural productivity. Seven key points are made in the discussion: (1) Missing or poorly measured variables used in the numerator (output) or denominator (land and labor, for example) are biasing productivity ratios; (2) In most cases, these errors... |
| Tipo: Report |
Palavras-chave: Productivity Analysis; Downloads July 2008 - July 2009: 11. |
| Ano: 1995 |
URL: http://purl.umn.edu/54055 |
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