The economic development of Europe from the Industrial Revolution to World War I. Emphasis on the economic and social factors that led to the industrialization of Europe.

(Also offered as HRTS 5390.) Explores the conceptual bases, measurement, and policy applications of economic rights. Specific topics will include: child labor, the right to development, non-governmental initiatives, and the institutionalization of economic rights (e.g., constitutionalization versus statutory implementation versus discretionary policies).

Beginning graduate microeconomics covering consumer and producer theory, price determination, economic efficiency, and welfare analysis.

Survey of the field: its historical foundations and development, conceptual framework, and application to current macroeconomic problems.

Use of mathematical concepts such as matrix algebra, optimization, and comparative statics, to study economic problems.

Statistical theory and linear regression applied to business and economic problems.

(Also offered as PP 5314.) Survey of the statistical methods and tools commonly used to evaluate causal claims about the impact of public policies and programs. This course is a required Master of Public Policy course.

Introduction to the mathematics of finance. Theoretical reasoning (proofs), modeling, useful simplifying approximations, and computing. Students will write basic programs in R.

Machine learning techniques and causal inference. Applications to economic data.

Standard panel-data models, which apply to datasets that follow cross-sections of individuals through time. Emphasis on determining when causal relationships can be inferred from panel data.

Basics of R programming. Objects, data structures, logical design, functions. Applications to matrix algebra, optimization, data visualization, and econometric analysis.

Introduction to Python. Code structure; control flow; data input/output in various formats; testing and debugging.

Methods of convex optimization, including linear, quadratic, and general constrained and unconstrained problems. Applications, using Python, in economics and finance.

Use of mathematical programming for optimization of input-output mixes, of delivery routes, of communication networks and for performance evaluation based on economic theory of producer behavior.

Surveys the modern agency, transaction-cost, and evolutionary theories of organization. Topics include measurement and monitoring costs, asset specificity, incomplete-contracts theory, the dynamic capabilities approach, and alternative organizations.

Practice in written and oral communication of economic ideas. Development of skills and techniques for success in business and professional environments.

Application of skills from ECON 5501 to writing and presenting a research paper developed in a third-semester Master of Science in Quantitative Economics course.

Neoclassical consumer and producer theory, choice under uncertainty, competitive and monopoly markets, and an introduction to general equilibrium.

A rigorous course in dynamic general equilibrium models. Emphasis on analytical techniques and numerical solution methods.

Game theory, information, and related topics.

Stochastic modeling, recent developments in the literature, and policy applications. Topics may include real business cycle theory, new classical economics, neo-Keynesian theory and growth models.

An introduction to advanced mathematical topics with applications to economics. Topics and applications may include set theory, logic, topology, difference and differential equations, game theory, preference theory and matching models.

First advanced course in econometrics methods used in economics. Properties of classical linear regression. Statistical theories that underpin econometric methods.

Large sample linear regression, time series analysis, maximum likelihood, GMM, and qualitative choice models.

Special topics from recent advances in econometrics.

Students pursue an in-depth study of an area of interest under the guidance of a faculty member.

Advanced treatment of material covered in ECON 6202 and 6212.

Advanced treatment of material covered in ECON 6202 and 6212.

Labor supply with an emphasis on the family. Applications in the area of demography, development, and health.

Labor demand and other applied topics in labor economics.

Advanced treatment of the behavior and performance of firms in imperfectly competitive markets. Topics may include product differentiation, entry deterrence, advertising, industrial R&D, and mergers.

Advanced treatment of the behavior and performance of firms in imperfectly competitive markets. Topics include empirical estimation of demand and production functions; static models of competition in prices and quantities; empirical models of market entry and exit; single-agent dynamic models; and dynamic games.

Advanced treatment of material covered in ECON 5463.

(Also offered as ARE 6466.) Economic analysis of environmental problems and corrective policy instruments. Theory of externalities and public goods, role of uncertainty and imperfect information in policy design, benefit-cost analysis, and non-market valuation. Applications to environmental problems (such as air and water pollution, hazardous waste, and occupational health and safety).

Overview of current literature on microeconomics of development, including human capital, internal structure of households, functioning of factor markets, and the role of institutions in mediating change.

Acquisition, development and practice of teaching skills for effective instruction in Economics. Intended for Economics Ph.D. students in the first semester in which they are assigned as an Instructor of Record at UConn as well as for Ph.D. students in at least their second year who would like to improve their Economics teaching skills while teaching a course at UConn or at another institution.

Participation in departmental research seminars and presentation and discussion of original research projects.