معرفی
Benaissa Chidmi, an Associate Professor in the Department of Agricultural and Applied Economics at Texas Tech University, specializes in industrial organization, food marketing, agribusiness, and consumer demand analysis. He teaches Applied Econometrics and Demand and Price Analysis.
Education
- Ph.D. in Agricultural and Resource Economics, University of Connecticut (2006)
- M.S. in Applied Financial Mathematics, University of Connecticut (2006)
- M.S. in Agricultural and Resource Economics, University of Connecticut (2002)
- M.S. in Food Engineering, Institut Agronomique et Vétérinaire Hassan II, Morocco (1996)
Research Trends
Chidmi's research spans diverse applications of econometric modeling, including consumer food demand systems, energy economics, agricultural productivity, and industrial organization. His recent work (2025) examines Saudi Arabia's coffee import demand, machine learning in US residential energy usage, and animal protein consumption patterns. Earlier studies (2024-2019) focus on technical efficiency in cereal production, asymmetric price transmission in energy markets, and nutrient demand analysis in Sri Lanka.
Key Methodologies
- Almost Ideal Demand System (AIDS) modeling
- Quantile regression analysis
- Random coefficients and logit demand models
- Machine learning applications in economics
- Censored regression techniques
- Technical efficiency measurement
