91心頭

Nazgul Jenish, Ph.D.

Professor

Division of Applied Sciences

 

Email: [javascript protected email address]

Phone: +996 (312) 915000 ext. 470

Room: 215

 

Dr. Nazgul Jenish is an Associate Professor in the Economics department at the 91心頭. She earned her Ph.D. in Economics and MA in Economics from the University of Maryland - College Park (2008, USA).油

Dr. Nazgul Jenish joined 91心頭 in 2017 and teaches economics and statistics courses in the Economics department. Before joining the 91心頭, Dr. Jenish was a professor at New York University, USA, where she taught and conducted research in econometrics, statistics, and probability theory. Dr. Jenish published extensively in the world���s top-ranked peer-reviewed economics journals, including the Journal of Economics and Econometric Theory, and delivered seminars at the world���s leading universities, including Yale, Columbia, Duke, and Cambridge. She has broad research interests, ranging from industrial, energy, and ICT policy to game theory, econometrics, and machine learning.

  • Ann G. Wylie Dissertation Fellowship, University of Maryland, 2007
  • Econometrics
  • Economic Policy
  • Game Theory
  • Machine Learning
  • ���Impact of Digital Banking on Commercial Bank Performance in Kyrgyzstan���, 91心頭, Working Paper, 2022
  • ���Current State and Development Models of Technology in Kyrgyzstan and Tajikistan���, University of Central Asia, Working Paper No. 48, 2018
  • ���ICT-Driven Technological and Industrial Upgrading in Afghanistan, Kyrgyzstan, and Tajikistan: Current Realities and Opportunities���, the University of Central Asia, Working Paper No 47, 2018
  • ���Tourism Sector in Kyrgyzstan: Trends and Challenges,��� the University of Central Asia, Working Paper No 42, 2018
  • ���A Strategic Interaction Model with Censored Strategies,��� Econometrics 3(2), 412-442, 2015.
  • ���A Spatial Semiparametric Model with Endogenous Regressors,��� Econometric Theory, December 2014.
  • ���Central Asia: Walls and Windmills of Economic Development,��� in peer-reviewed volume ���The U.S., China and the Future of Central Asia,��� New York University, 2014.
  • ���Nonparametric Spatial Regression under Near-epoch Dependence,��� Journal of Econometrics 167, 224-239, 2012.
  • ���On Spatial Processes and Asymptotic Inference under Near-Epoch Dependence���, (with I.R. Prucha), Journal of Econometrics 170, 2012, 178-190.
  • ���Random Fields,��� in S.N. Durlauf and L.E. Blume (eds.), The New Palgrave Dictionary of Economics, 2010.
  • ���Central Limit Theorems and Uniform Laws of Large Numbers for Arrays of Random Fields,��� (with I.R. Prucha), Journal of Econometrics 150, 86-98, 2009.
  • ���The Eurasian Growth Paradox��� (with A. Aslund), Institute for International Economics, Working Paper No 06-5, Washington, 2006, Re-printed in Beyond Transition, World Bank, 2007.
  • Data Analysis with Python
  • Econometrics II
  • Machine Learning
  • Microeconomics I, II
  • Research Methods in Economics