
The Office ofEmir Malikov
Lee Professor of Economics
University of Nevada, Las Vegas
Research Interests
- Productivity & Production Analysis
- Structural Applied Microeconomics
- Semi/Nonparametric Econometrics
- Spatial Data Methods
- Quantile and Modal Regressions
- Climate Economics
About
Dr. Malikov's research sits at the intersection of (mostly applied) microeconometrics and (mostly structural) productivity analysis, with a broad range of empirical applications in microeconomics, industrial organization, climate economics and operations research.
In productivity analysis, his research concerns methodological aspects of structural analysis of production, with the focus on (i) robustifying the econometric measurement of firm productivity and efficiency, (ii) structural identification of production functions, (iii) estimation of productivity spillovers, (iv) modeling of endogenous dynamic relationships between firm performance and productivity-enhancing activities such as exporting, R&D and foreign investments, (v) analysis of market structure and, more recently, (vi) assessing climate change effects on productivity and economic activity.
His econometric contributions are mostly in (semi)parametric estimation and testing techniques for data with spatial dependence and panel data in the presence of (un)observed heterogeneity and endogenous selectivity.
In his work, Dr. Malikov has studied production behavior of firms and market structure in numerous industries including manufacturing, commercial banking, credit union sector, microfinance, electric power generation and distribution, crop production, dairy farming and others. He has also written on hedonic valuation of adverse effects of non-marketable environmental disamenities and climate change.
His work has appeared in economics and operations research journals including the Review of Economics & Statistics, Journal of Econometrics, Journal of Applied Econometrics, Journal of Environmental Economics & Management, Journal of Operations Management and the European Journal of Operational Research.