Department of Economics
Departmental Honors
Students on Summer 2023, Fall 2023, or Spring 2024 requirements ECON-HON
Students pursuing the Bachelor of Arts in Economics have two options for earning departmental honors and should choose either the requirements for Option I or Option II below. Depending upon availability, students seeking an honors diploma are encouraged to take additional 300–400 level courses designated as honors sections.
Requirements
- Option I.
- GPA Requirements.
- College GPA. A College grade point average (GPA) of at least 3.500 is required.
- Major GPA. An Economics major grade point average (GPA) of at least 3.700 is required.
- Advanced Courses*. Six (6) credit hours:
- ECON-E 390 Undergraduate Seminar in Economics
- ECON-E 392 Seminar in Computational Methods and Econometrics
- ECON-E 401 Machine Learning for Economic Data
- ECON-E 402 Computational Methods In Macroeconomics
- ECON-E 425 Financial Economics
- ECON-E 425 Financial Economics
- ECON-E 427 Seminar in Experimental Economics
- ECON-E 427 Seminar in Experimental Economics
- ECON-E 471 Econometric Theory and Practice I
- ECON-E 472 Econometric Theory and Practice II
- ECON-E 490 Advanced Undergraduate Seminar in Economics
- ECON-E 499 Honors Thesis
ECON-E 390 Undergraduate Seminar in Economics
- Credits
- 3
- Prerequisites
- ECON-E 321 or ECON-S 321
- Notes
- Additional prerequisites may be required depending on the seminar topic
- Description
- Intensive study of a topic area in economics. Topics will vary.
- Repeatability
- May be repeated with a different topic for a maximum of 9 credit hours.
ECON-E 392 Seminar in Computational Methods and Econometrics
- Credits
- 3
- Prerequisites
- ECON-E 321 or ECON-S 321; Additional prerequisites may be required depending on the seminar topic
- Description
- Intensive study of a topic area in computational methods or econometrics. Topics will vary.
- Repeatability
- May be repeated with a different topic for a maximum of 9 credit hours.
ECON-E 401 Machine Learning for Economic Data
- Credits
- 3
- Prerequisites
- ECON-E 321 or ECON-S 321; and ECON-E 371 or ECON-S 371
- Description
- What is machine learning and how can we use it to help us explore economic data? This course develops exploratory data analysis skills and provides training in a variety of machine learning techniques used to analyze economic data while using the R programming language.
ECON-E 402 Computational Methods In Macroeconomics
- Credits
- 3
- Prerequisites
- ECON-E 252 or ECON-B 252; and ECON-E 321 or ECON-S 321
- Description
- Macroeconomic data are increasingly available and used by economists and data scientists to help decision-makers. This course provides opportunities to develop tools to explore macroeconomic data, build and simulate macroeconomic models, perform experiments, and solve dynamic models using numeric methods. Also provides experience in the Python programming language.
ECON-E 425 Financial Economics
- Credits
- 3
- Prerequisites
- ECON-E 321 or ECON-S 321; and ECON-E 370 or ECON-S 370
- Description
- Theory and empirical evidence relevant to understanding the functioning of modern financial-asset markets. Course topics may vary substantially by instructor. Some examples include: present value, analysis of risk and return, asset pricing, modern portfolio theory, equilibrium in asset markets, arbitrage pricing theory, the capital asset pricing model, the efficient markets hypothesis, price bubbles and crashes, futures markets, derivative securities and option pricing models.
ECON-E 425 Financial Economics
- Credits
- 3
- Prerequisites
- ECON-E 321 and ECON-E 370
- Description
- Theory and empirical evidence relevant to understanding the functioning of modern financial-asset markets. Course topics may vary substantially by instructor. Some examples include: present value, analysis of risk and return, asset pricing, modern portfolio theory, equilibrium in asset markets, arbitrage pricing theory, the capital asset pricing model, the efficient markets hypothesis, price bubbles and crashes, futures markets, derivative securities and option pricing models.
ECON-E 427 Seminar in Experimental Economics
- Credits
- 3
- Prerequisites
- ECON-E 321 or ECON-S 321; and ECON-E 370 or ECON-S 370; or consent of instructor
- Notes
- R: ECON-E 327
- Description
- Focuses on the use of laboratory experimental methods in applied microeconomics. Specific application areas will include the analysis of resource allocation mechanisms for both private and public goods and individual choice under uncertainty using both human and nonhuman subjects.
ECON-E 427 Seminar in Experimental Economics
- Credits
- 3
- Prerequisites
- ECON-E 321 and ECON-E 370 or consent of instructor
- Notes
- R: ECON-E 327
- Description
- Focuses on the use of laboratory experimental methods in applied microeconomics. Specific application areas will include the analysis of resource allocation mechanisms for both private and public goods and individual choice under uncertainty using both human and nonhuman subjects.
ECON-E 471 Econometric Theory and Practice I
- Credits
- 3
- Prerequisites
- ECON-E 370, ECON-S 370, or MATH-M 365; and MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Notes
- Only 9 credit hours from ECON-E 371, ECON-S 371, ECON-E 471, and ECON-E 472 may be counted toward a major in economics
- Description
- Emphasis is on the classical linear regression model and its applications. Special topics include finite and asymptotic properties of least squares, hypothesis testing, model specification, dummy variables, proxies, multicollinearity and heteroscedasticity.
ECON-E 472 Econometric Theory and Practice II
- Credits
- 3
- Prerequisites
- ECON-E 471
- Notes
- Only 9 credit hours from ECON-E 371, ECON-S 371, ECON-E 471, and ECON-E 472 may be counted toward a major in economics
- Description
- Emphasizes extensions of the classical linear-regression model such as: limited dependent variables, instrumental variables, stationary and nonstationary data, fixed-effect and random-effect models, multiple-equation models, censored regression, and sample selection.
ECON-E 490 Advanced Undergraduate Seminar in Economics
- Credits
- 3
- Prerequisites
- ECON-E 321 or ECON-S 321
- Notes
- Additional prerequisites may be required depending on the seminar topic
- Description
- Advanced intensive study of a topic area in economics. Topics will vary.
- Repeatability
- May be repeated with different topics for a maximum of 9 credit hours.
ECON-E 499 Honors Thesis
- Credits
- 3
- Prerequisites
- ECON-E 322 or ECON-S 322; and ECON-E 370 or ECON-S 370; Economics majors or interdepartmental major (ECON/POLS or ECON/MATH); minimum 3.300 economics GPA
- Notes
- Additional prerequisites may be required by the faculty mentor. Honors course; A maximum of 3 credit hours in ECON-E 499 may count toward the major in economics
- Description
- Honors thesis research by special arrangement with an economics faculty mentor and the director of undergraduate studies.
- Thesis.
- Course Requirement. Six (6) credit hours over two (2) consecutive semesters:
- ECON-E 499 Honors Thesis
ECON-E 499 Honors Thesis
- Credits
- 3
- Prerequisites
- ECON-E 322 or ECON-S 322; and ECON-E 370 or ECON-S 370; Economics majors or interdepartmental major (ECON/POLS or ECON/MATH); minimum 3.300 economics GPA
- Notes
- Additional prerequisites may be required by the faculty mentor. Honors course; A maximum of 3 credit hours in ECON-E 499 may count toward the major in economics
- Description
- Honors thesis research by special arrangement with an economics faculty mentor and the director of undergraduate studies.
- Topic Approval. Research topic must be approved by a tenure-track economics faculty mentor and the department’s Director of Undergraduate Studies prior to the beginning of the first semester in which student is enrolled in ECON-E 499.
- Course Requirement. Six (6) credit hours over two (2) consecutive semesters:
- GPA Requirements.
- Option II.
- GPA Requirements. Students must have the following at the time of graduation:
- College GPA. A College grade point average (GPA) of at least 3.500 is required.
- Major GPA. An Economics major grade point average (GPA) of at least 3.700 is required.
- Courses.
- Intermediate Microeconomic Theory.
- ECON-S 321 Intermediate Microeconomic Theory: Honors
ECON-S 321 Intermediate Microeconomic Theory: Honors
- Credits
- 3
- Prerequisites
- ECON-B 251 or ECON-E 251; and MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211
- Description
- Designed for students of superior ability. Covers same core material as ECON-E 321.
- Repeatability
- Credit given for only one of ECON-E 321 or ECON-S 321.
- Fall 2024CASE SHcourseSummer 2024CASE SHcourseSpring 2024CASE SHcourse
- Intermediate Macroeconomic Theory. One (1) course:
- ECON-S 322 Intermediate Macroeconomic Theory: Honors
ECON-S 322 Intermediate Macroeconomic Theory: Honors
- Credits
- 3
- Prerequisites
- ECON-E 252 or ECON-B 252 and ECON-E 321 or ECON-S 321; Hutton Honors student
- Description
- Designed for students of superior ability. Covers same core material as ECON-E 322 and substitutes for ECON-E 322 as a prerequisite for other courses.
- Repeatability
- Credit given for only one of ECON-S 322 or ECON-E 322.
- Fall 2024CASE SHcourseSummer 2024CASE SHcourseSpring 2024CASE SHcourse
- Statistical Analysis for Business and Economics. One (1) course:
- ECON-S 370 Statistical Analysis for Business and Economics: Honors
ECON-S 370 Statistical Analysis for Business and Economics: Honors
- Credits
- 3
- Prerequisites
- MATH-M 118, MATH-S 118, or MATH-V 118; and Hutton Honors student
- Notes
- R: MATH-M 119 and ECON-E 252 or ECON-B 252
- Description
- Honors course. Designed for students of superior ability. Covers same core material as ECON-E 370.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Fall 2024CASE NMcourseSummer 2024CASE NMcourseSpring 2024CASE NMcourse
- Econometric Theory and Practice I. One (1) course:
- ECON-E 471 Econometric Theory and Practice I
ECON-E 471 Econometric Theory and Practice I
- Credits
- 3
- Prerequisites
- ECON-E 370, ECON-S 370, or MATH-M 365; and MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Notes
- Only 9 credit hours from ECON-E 371, ECON-S 371, ECON-E 471, and ECON-E 472 may be counted toward a major in economics
- Description
- Emphasis is on the classical linear regression model and its applications. Special topics include finite and asymptotic properties of least squares, hypothesis testing, model specification, dummy variables, proxies, multicollinearity and heteroscedasticity.
- Econometric Theory and Practice II. One (1) course:
- ECON-E 472 Econometric Theory and Practice II
ECON-E 472 Econometric Theory and Practice II
- Credits
- 3
- Prerequisites
- ECON-E 471
- Notes
- Only 9 credit hours from ECON-E 371, ECON-S 371, ECON-E 471, and ECON-E 472 may be counted toward a major in economics
- Description
- Emphasizes extensions of the classical linear-regression model such as: limited dependent variables, instrumental variables, stationary and nonstationary data, fixed-effect and random-effect models, multiple-equation models, censored regression, and sample selection.
- Honors Elective. One (1) course:
- Any ECON-E 390–399
- Any ECON-E 400–499 except ECON-E 471; ECON-E 472
- Intermediate Microeconomic Theory.
- GPA Requirements. Students must have the following at the time of graduation:
Exceptions to and substitutions for honors requirements may be made with the approval of the unit's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.