ウルフ デイビッド WOLF David講師
Dr. David Wolf graduated from the Department of Agricultural, Environmental, and Development Economics at Ohio State University in 2018. Prior to graduate school, David taught in Okinawa, Japan for two years. He currently teaches undergraduate microeconomics and graduate microeconometrics and econometrics. His ongoing research interests include nonmarket valuation, hedonic modeling, cost-benefit analysis, and land use management. His academic work has been published in Ecological Economics, Land Economics and the Journal of Environmental Management.
2018 - 2019 The University of Wisconsin-Eau Claire, Assistant Professor
2015 - 2018 Doctor of Philosophy, The Ohio State University
2013 - 2015 Master of Economics, The Ohio State University
2007 - 2011 Bachelor of Economics and Philosophy, Saint John's University
Intermediate Microeconomics (Undergraduate)
This course is designed to introduce you to calculus-based microeconomy theory, which will be helpful for future work in applied economics and graduate-level courses in economics. Topics in this course include: the mathematical foundations of economic theory, the theory of individual economic behavior from the perspective of the consumer and the firm, welfare economics and markets in perfect competition and general equilibrium. The purpose of this course is to extend students' knowledge of consumer and producer theory, which is one the key elements in the professional training of an economist, and provide insight into how economic models can be used for policy analysis.
Advanced Microeconomics (Graduate/Postgraduate)
Advanced Microeconomics is the first course in the graduate microeconomics sequence in GMAP. This course begins with the study of decisions of individual economic agents (consumer choice and producer theory). The concept of duality is also introduced within the context of consumption and production decisions. Afterwards, decision-making under uncertainty, general equilibrium models, welfare economics and market failures are examined. The goal of this course is to prepare students for work in applied economics and to develop their economic modeling skills.
This course focuses on the application of statistical methods for testing economic relationships. The course begins with a review of multivariate regression analysis and solutions to the problems of multicollinearity, heteroscedasticity, and serial correlation. Dummy dependent variable techniques, panel data analysis, instrumental variables, and fixed effects are also discussed. This course aims to develop students' applied econometric skills so they are able to collect and clean data, formulate and specify econometric models and apply these models to empirically test economic hypothesis.
1. Wolf, D., & Klaiber, H. A. (2017). Bloom and bust: Toxic algae's impact on nearby property values. Ecological economic, 135, 209-221.
2. Wolf, D., Georgic, W., & Klaiber, H. A. (2017). Reeling in the damages: Harmful algal blooms' impact on Lake Erie's recreational fishing industry. Journal of Environmental Management, 199, 148-157.
3. Wolf, D., Chen, W., Gopalakrishnan, S., Haab, T., & Klaiber, H. A. (2019). The Impacts of Harmful Algal Blooms and E. coli on Recreational Behavior in Lake Erie. Land Economics, 95(4), 455-472.
4. Wolf, D., Kemp, T. Convergent Validity of Satellite and Secchi Disk Measures of Water Clarity in Hedonic Models. Land Economics, Forthcoming.