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Economics (ECON)
Decision making by business firms, consumer preferences and behavior, uncertainty, competition, monopoly, labor and resource markets, efficient resource allocation, externalities, and government policy.
The determinants of aggregate income, employment, and inflation;economic fluctuations; fiscal and monetary policy; financialmarkets; the national debt.
| 26088R | 055 | Lecture | 9:00-10:50am | MTuW | 23 of 30 | Shailender Swaminathan | KAP145 | |   |
Introduction to statistical methods appropriate for analyzing economic data: probability theory, random variables and probability distributions, sampling, estimation, statistical inference.
| 26094R | 055 | Lecture | 2:00-3:50pm | TuWTh | 15 of 27 | Manochehr Rashidian | KAP166 | | |
Application of statistical methods to economic data: estimating economic relationships using regression analysis, testing hypotheses involving economic behavior, forecasting economic variables. Prerequisite:
ECON 317. Duplicates credit in former
ECON 414.
| 26134R | 055 | Lecture | 10:00-11:50am | TuWTh | 14 of 30 | Manochehr Rashidian | KAP147 | | |
Contemporary economic problems of East Asian countries: management, labor, technology, trade, investment. Determinants of their high growth rates in the late 20th century.
| 26110R | 055 | Lecture | 12:00-1:50pm | MTuW | 9 of 25 | Takahiro Miyao | KAP138 | | |
Development and business applications of: theory of the firm; theory of the consumer; inter-temporaldecisions; decisions under risk; market failures; industrial and enterprise structure. Prerequisites:
MATH 118 or
MATH 125 or
MATH 126 or
MATH 226. Not for major credit for: Economics, Economics/Mathematics, Social Sciences (Economics). Duplicates credit in former
ECON 251.
Theoretical development and significance to business and markets of economic growth; inflation;unemployment; monetary and fiscal policy; business cycles; savings and investment; exchange rates. Corequisite:
ECON 351.
Recommended preparation: introductory economics course, high school math, and algebra. Not for major credit for: Economics, Economics/Mathematics, Social Sciences (Economics). Duplicates credit in former
ECON 252x.
Analysis of binary dependent variable models, panel data analysis, program evaluations, IV analysis, basics of time series and forecasting. Prerequisites:
ECON 303,
ECON 305,
ECON 317,
ECON 318;
MATH 125, or
MATH 126, or
MATH 225, or
MATH 226.
| 26138R | 055 | Lecture | 2:00-3:50pm | MTuW | 3 of 30 | Shailender Swaminathan | KAP147 | | |
Determinants and economic consequences of international trade patterns; effects of trade restrictions and trading blocs; trade negotiations and arrangements.
| 26148R | 055 | Lecture | 10:00-11:50am | TuWTh | 26 of 30 | Ali Shahnawaz | KAP148 | | |
Supervised individual research. Not available for graduate credit. Requires departmental approval.
- Restriction: Registration open to the following class level(s): Junior, Senior
| 26168D | 055 | 2.0-8.0 | Lecture | TBA | TBA | 0 of 10 | Joshua Aizenman,
Young Miller | OFFICE | | |
| 26305D | 059 | 2.0-6.0 | Lecture | TBA | TBA | 4 of 10 | Joshua Aizenman,
Young Miller | OFFICE | | |
Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
| 26026D | 055 | Lecture | TBA | TBA | 3 of 10 | Joshua Aizenman,
Young Miller | OFFICE | | |
Credit on acceptance of Thesis. Graded CR/NC.
| 26028D | 055 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
Credit on acceptance of Thesis. Graded CR/NC.
| 26210D | 055 | Lecture | TBA | TBA | 1 of 10 | | OFFICE | | |
Credit on acceptance of Thesis. Graded CR/NC.
| 26212D | 055 | Lecture | TBA | TBA | 1 of 10 | | OFFICE | | |
Intership for students in the mathematical finance master's program. Practical training in real market environments. Real-world first-hand experience in implementing trading strategies. Application of mathematical finance to real financial markets.
| 26290D | 055 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
| 26097D | 044 | Lecture | TBA | TBA | 1 of 10 | Joshua Aizenman,
Young Miller | OFFICE | | |
| 26296D | 055 | Lecture | TBA | TBA | 0 of 15 | Joshua Aizenman | OFFICE | | |
Credit on acceptance of Dissertation. Graded CR/NC.
| 26298D | 055 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
Credit on acceptance of Dissertation. Graded CR/NC.
| 26300D | 055 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
Credit on acceptance of Dissertation. Graded CR/NC.
| 26302D | 055 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
Credit on acceptance of Dissertation. Graded CR/NC.
| 26304D | 055 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
Credit on acceptance of Dissertation. Graded CR/NC.
| 26306D | 055 | Lecture | TBA | TBA | 1 of 10 | | OFFICE | | |