Courses

Worksheet for MS in Economics

Required courses:

  1. EconS 525 Master’s Econometrics –  Theory and practice of multiple regression methods; applications to the study of economic and other phenomena; use of computer regression programs. Required preparation must include introductory statistics course.
  2. EconS 526 Microeconomic Analysis I –  Masters-level, calculus-based analysis of consumer and producer behavior, partial and general equilibrium, and strategic behavior. Required preparation must include intermediate microeconomics and calculus course work.
  3. EconS 527 Microeconomic Analysis II –  Master’s-level, linear algebra-based analysis of consumer and producer theory, comparative statics and constrained optimization. Required preparation must include intermediate microeconomics and calculus course work.

Elective Courses:

  1. EconS 452, Advanced Managerial Economics – Topics in business management economics and strategy, from demand and supply to bargaining, contracting, pricing strategies, and market structure.
  2. EconS 528: Macroeconomic Analysis – The goal of the course is to develop a coherent theoretical framework for thinking about the determination of macroeconomic variables such as national output, unemployment, interest, inflation, government debt, money and banking. Required preparation includes undergraduate Intermediate Microeconomics and Macroeconomics.
  3. EconS 529 Research Methods – Prepare and communicate professional-quality research with an emphasis on learning how to identify, develop, write, and present research.
  4. EconS 533 International Trade and Policy – International trade theories, policies, and research issues related to world trade with emphasis on agricultural commodity markets.
  5. EconS 534 Production Economics – Production economics theory and methods applied to problems of production response, economic optimization, technology, policy, risk and dynamics.
  6. AgEc 535 Applied Industrial Organization – Economic and strategic management theories and their relevance to agribusiness decision-making, including empirical applications.
  7. AgEc 586 Regional Economic Development Theory – Theory course in the explanation and causes of regional economic growth and community development. Topics include land economics, transportation models, central place theory, location theory, agglomeration, economic base theory, and economic growth theory.
  8. AgEc 587 Regional Economic Development Methods – Methods course in the tools of regional economics and community development. Topics include Community Economic Profiling, Input-Output Analysis, Social Accounting, General Equilibrium Analysis, Social Benefit-Cost Analysis, and Non-Market Valuation.
  9. Stats 508, Environmental Spatial Statistics – Theoretical introduction and practical training in spatial data analysis for graduate students in the environmental sciences.
  10. Stats 512, Analysis of Variance of Designed Experiments – Principles of experimental design and analysis and interpretation of data.
  11. Stats 516, Time Series – ARIMA models; identification, estimation, diagnostics, and forecasting; seasonal adjustments, outlier detection, intervention analysis and transfer function modeling.
  12. Stats 519 Applied Multivariate Analysis – Statistical skills to analyze multivariate data in an applied context, with the use of software packages. Learn inference techniques, such as the multivariate normal distribution, principle components, discriminant function, cluster analysis, and MANOVA.
  13. Stats 520, Statistical Analysis of Qualitative Data – Binomial, Poisson, multinomial distribution; contingency tables, Fisher’s tests, log-linear models; ordinal data; applications in biology, business, psychology, and sociology.
  14. Stats 530, Applied Linear Models – The design and analysis of experiments by linear models.
  15. Math 448/548, Numerical Analysis – The course is designed to teach students how to derive and use standard numerical methods for mathematically posed problems. Computing is an essential part of the course and some of the assignments will require computer programming work, such as MATLAB.
  16. Math 456/556, Introduction to Statistical Theory – Provide students with an in-depth understanding of the theory behind Inferential Statistics. Substantial importance will be given to proofs of fundamental results in Mathematical Statistics.
  17. Envr_Sci 586, GIS Spatial Analysis – Geographic information systems applied to analysis of landscape data; maps, geographic coordinate systems and projections, geodatabases.

Elective Courses Cross-listed with Seniors

  1. EconS 420. Monetary Theory and Policy. Current issues in monetary economics with a special emphasis on policy.
  2. EconS 424Strategy and Game Theory. Strategic behavior of firms, consumers, and political parties in everyday interaction.
  3. EconS 425. Industrial Organization. Economic theories of firm behavior and the influence of market industry parameters; buyer/seller concentration, information asymmetries, product differentiation, and entry conditions.
  4. EconS 426Transportation Economics. Transportation economics and relevant transportation modeling; policy issues and concerns.
  5. EconS 427. Economic Development and Underdevelopment. Development theories, policies, and performance of Third World economies; population, land reform, foreign trade, aid, investment, debt, dependency.
  6. EconS 451 Advanced Food Economics and Marketing. Institutions, practices, policies, problems, and empirical analysis of food economics and marketing.

Research Project

  1. EconS 700 – Master’s thesis
  2. EconS 702 – Master’s project

 

Contact Info

Dr. Jill McCluskey
Chair, Graduate Studies Committee
Hulbert 111E
509-335-2835
mccluskey@wsu.edu

Jaimie Dahl
Graduate Coordinator
Hulbert 101D
509-335-5555
jaimie@wsu.edu

Washington State University