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2007-10-28 | author

Menale Kassie

Menale Kassie currently works at icipe, the International Centre of Insect Physiology and Ecology as the Head of the Social Science and Impact Assessment Unit (SSIA) as of November 2015.

Dr Kassie worked at the International Maize and Wheat Improvement Center (CIMMYT), as a Senior Scientist from July 2010 to October 2015. He completed his first degree and MSc in agricultural economics from the Haramaya University in Ethiopia. He obtained his PhD in Development Economics from the Norwegian University of Life Sciences. His research interests focus on development and natural resources economics. Methodologically he has good knowledge of applied econometrics (parametric and non-parametric techniques) and mathematical programming. He is applying both techniques on multiple plot observations and on true panel data. The applications of these techniques have been focusing on evaluation of land rental market impact on land productivity and input use; and sustainable land management technology impact on productivity and production risk in Ethiopia. The mathematical programming technique was applied to assess impact of reduced tillage on carbon sequestration and how multi-purpose fodder technology affects land use, land management, and household welfare. Currently, his research is focusing on:

1) The performance of land management technology (e.g. organic fertilizer and soil and water conservation technlogies) in different agro-ecology settings of the four regions of Ethiopia, and
2) Production risk, risk aversion, and crop failure impact on land management technology adoption in the four regions of Ethiopia
3) Land management technology adoption impact on production risk, risk aversion, and crop failure in the four regions of Ethiopia

Expertise/Research area:

  • Research on land management technology impact on productivity, risk, efficiency, and household welfare
  • Impact of production risk, crop failure and risk aversion on technology adoption
  • Program/intervention evaluation using propensity score matching methods
  • Panel and cross-sectional data analysis
  • Applied micro-econometrics

 

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