



Shiferaw Gurmu
Professor of Economics 





Course
Descriptions: 


 ECON 2106: Principles of Microeconomics  This course provides a systematic study of human and firm behavior within the context of the consumption, production, and distribution of goods. The goal is to provide an introduction to the economic way of thinking and to the economist’s view of the world. The course attempts to develop a student’s ability to think analytically about the economic forces at work in society. Students learn both a specific set of analytical tools in microeconomics and how to apply them to current policy issues.
 ECON
3910: Intermediate Microeconomics  The course focuses on the behavior of individuals,
firms, and the interaction of these agents in the
market place. From the consumer’s perspective,
the course will consider how individuals and households
make decisions regarding, for example, the consumption
of goods or the allocation of time. In particular,
this class will emphasize how choices are made when
various types of constraints confront consumers. Attention
will be given to how these choices may change as prices
and incomes vary. The course will also examine the
behavior of firms, and, specifically, how firms decide
how much to produce and by what means. The organization
of markets (i.e., competition, monopoly, and oligopoly)
and its implications for firm behavior will also be
examined. Extension of individual markets to interdependent
markets will be considered. We also study public goods
(goods that benefit all consumers) and externalities
(the effects of consumption and production activities
not directly reflected in the market). Applications
of the theory to business and public policy issues
will be presented throughout.
 ECON
4950: Econometrics and Applications The course provides an elementary but comprehensive
introduction to the practice of econometrics. It deals
with applications of statistical methods to the testing
and estimation of economic relationships. The main
topics covered include the linear regression model,
extensions of the basic linear regression model, and
problems that arise when analyzing cross section and
time series data by means of regression models. We
will use statistical and econometric software to analyze
real world data.
 Econ
8740: Applications in Statistics and Econometrics I  This is a masters level course in econometrics. The
course provides comprehensive introduction to the
practice of econometrics. It deals with applications
of statistical methods to the testing and estimation
of economic relationships. The main topics covered
include the linear regression model, extensions of
the basic linear regression model, and problems that
arise when analyzing cross section and time series
data by means of linear and nonlinear regression models.
 ECON 8840: Applications in Statistics and Econometrics II  This is the second part of the masters level course in econometrics. Topics covered include data management, panel data models, discrete models, censoring and sample selection, and program evaluation.
 ECON
9710: Econometrics I: Statistical Foundations  This course provides probability and statistical tools
necessary for studying econometrics at the Ph.D. level. Topics covered
include basic techniques of probability theory, estimation,
hypothesis testing, and maximum likelihood methods.
Applications of these concepts to economic problems
and illustrations from economics are emphasized. The
course assumes a working knowledge of multivariate
calculus, linear algebra and basic statistics.
 ECON 9730: Advanced Econometrics  The course deals with econometric methods and applications
designed for the analysis of crosssection and panel
data models. It can be viewed as a course in microeconometrics,
since we cover methods that are most often used in
empirical microeconomic research. The main topics
covered are maximum likelihood & GMM methods,
panel data models, semiparametric and nonparametric
methods, simulation techniques, limited dependent
variable models, and qualitative response models.
Single as well as simultaneous equations models will
be treated. Important topical applications will be
treated.
 ECON 9750: Topics in Econometrics  The course treats advanced topics in econometrics.
It extends the student's knowledge of modeling and
estimation in econometrics. Topics covered in recent
years include count and transition data analyses,
spatial econometrics, program evaluation and Bayesian econometrics.








