ECON 491

Spring 2025 All Classes

All Classes

Topics in Econometrics

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Credit: 3 OR 4 hours.

Special topics applying advanced econometrics concepts. Students will use quantitative analysis and economic theories to answer economic questions and uncover relationships between variables across a variety of topics; instruction in statistical and computing techniques as needed.

3 undergraduate hours. 4 graduate hours. May be repeated if topics vary, repeatability for undergraduate students unlimited; for graduate students to a maximum of 8 credit hours. Prerequisite: ECON 203; ECON 302; and MATH 220/221 or Calculus I equivalent. See Class Schedule for other prerequisites as indicated depending on topic and content.

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ECON 491 class schedule data for spring 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
76171	Lecture-Discussion	A3	11:00AM -12:20PM	MW	125 David Kinley Hall	Cunha Medeiros, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: INTERMEDIATE ECONOMETRICS Section Info: FIELD: Econometrics. DESCRIPTION for Intermediate Econometrics: COMING SOON. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
76172	Lecture-Discussion	A4	11:00AM -12:20PM	MW	125 David Kinley Hall	Cunha Medeiros, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: INTERMEDIATE ECONOMETRICS Section Info: Please see the 3-credit section of this title for the course description. Students registered for graduate credit must complete additional work beyond the undergraduate requirements. Contact instructor for details when instruction begins. Restriction(s): Restricted to students in the Economics department. Restricted to Graduate - Urbana-Champaign.
77062	Lecture-Discussion	B3	11:00AM -12:20PM	TR	125 David Kinley Hall	Durandard, T	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: MARKET FAILURES AND REMEDIES Section Info: FIELD: Econometrics \| DESCRIPTION for MARKET FAILURES AND REMEDIES: Economists typically believe that unless there is a specific reason to expect a market to fail, it will likely work well. In this course, we will try to understand why most economics hold the initial presumption that markets work. In doing so, we will uncover several canonical threats to markets and develop a simple typology of market failures: (i) Externalities and pricing failures, (ii) Participation and inefficient matches, (ii) Asymmetric information and inefficient allocation, (iii) Market power and distortions, and (iv) Hold-up, moral-hazard, and dynamic inefficiencies. In each case, we will try to understand whether a planner or regulator could alleviate the market failures. That is, we will not limit ourselves to studying existing markets but also think about how to design (or redesign) poorly performing ones. This is known as Mechanism and Market design. We will approach these issues from a theoretical perspective and examine real-world applications. Examples will include how Google sells advertising space, how medical students are matched to residencies, and how governments auction natural resources, carbon taxation, etc. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
77063	Lecture-Discussion	B4	11:00AM -12:20PM	TR	125 David Kinley Hall	Durandard, T	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Advisor Approval Required Credit: 4 hours Section Title: MARKET FAILURES AND REMEDIES Section Info: To earn the 4th credit hour, contact the instructor for details on graduate-credit work. Please see CRN 77062. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
74775	Lecture-Discussion	C3	12:30PM -1:50PM	TR	215 David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: APPLIED MACHINE LEARNING: ECON Section Info: FIELD: Econometrics. DESCRIPTION for Applied Machine Learning, Econ: Students will gain exposure to a variety of machine learning approaches for supervised and unsupervised learning. Topics include regularized approaches like lasso and ridge regression, trees, boosting, support vector machines, cluster analysis, and predictive assessment using cross validation. Emphasis is given on applications with the use of a programming language like R or Python. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
74776	Lecture-Discussion	C4	12:30PM -1:50PM	TR	215 David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: APPLIED MACHINE LEARNING: ECON Section Info: DESCRIPTION: Students registered for graduate credit must complete additional work beyond the undergraduate requirements. Contact instructor for details when instruction begins. Please see the 3-credit section of this title for course description. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to students in the Economics department. Restricted to Graduate - Urbana-Champaign.
74773	Lecture-Discussion	D3	2:00PM -3:20PM	TR	215 David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: APPLIED MACHINE LEARNING: ECON Section Info: FIELD: Econometrics. DESCRIPTION for Applied Machine Learning, Econ: Students will gain exposure to a variety of machine learning approaches for supervised and unsupervised learning. Topics include regularized approaches like lasso and ridge regression, trees, boosting, support vector machines, cluster analysis, and predictive assessment using cross validation. Emphasis is given on applications with the use of a programming language like R or Python. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
74774	Lecture-Discussion	D4	2:00PM -3:20PM	TR	215 David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: APPLIED MACHINE LEARNING: ECON Section Info: To earn the 4th credit hour, contact the instructor for details on graduate-credit work. DESCRIPTION for Applied Machine Learning, Econ: Please see CRN 74773. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to students in the Economics department. Restricted to Graduate - Urbana-Champaign.
76131	Lecture-Discussion	E3	3:30PM -4:50PM	MW	119 David Kinley Hall	Bartik, A	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: DECISION-MAKING Section Info: FIELD: Econometrics; DESCRIPTION for Econometrics of Decision-Making: This course will help students think about how data and economics can be used to inform decision-making in policy, business, and life. We start by covering the four-broad types of data analysis: descriptive analysis, causal inference, cross-sectional prediction, and forecasting. We then learn how economic and decision theory can be used to determine which of these types of data analysis are appropriate for making different types of decisions and what information is needed. We then cover some core techniques in these different types of data analysis. Students will learn about the pitfalls and challenges they will encounter when applying these techniques to actual decisions by tackling real world examples in business, policy, and in their own lives. PREREQUISITES: Required Econ 203, 302 and Math 220/221; Recommended Econ 471 or equivalent statistics course. RESTRICTION INFO: https://go.economics.illinois.edu/FallRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
76132	Lecture-Discussion	E4	3:30PM -4:50PM	MW	119 David Kinley Hall	Bartik, A	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: DECISION-MAKING Section Info: Students registered for graduate credit must complete additional work beyond the undergraduate requirements. Contact instructor for details when instruction begins. Please see the 3-credit section of this title for course description and restriction information. Restriction(s): Restricted to students in the Economics department. Restricted to Graduate - Urbana-Champaign.
75725	Lecture-Discussion	F3	11:00AM -12:20PM	TR	206 David Kinley Hall	Toossi, A	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: Applied Game Theory Section Info: FIELD: Econometrics. DESCRIPTION for APPLIED GAME THEORY: Game theory is the study of mathematical models that analyze strategic interactions among rational decision-makers. It examines how individuals or groups make decisions when their choices affect one another. This course introduces the core concepts of game theory and demonstrates how they can be applied to understand economic and social phenomena. We will explore applications of game theory in areas such as environmental economics, development economics, political economy, and experimental economics, while also discussing its role in explaining the evolution of cooperation Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
75726	Lecture-Discussion	F4	11:00AM -12:20PM	TR	206 David Kinley Hall	Toossi, A	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Applied Game Theory Section Info: Open seats restricted to graduate students. To earn the 4th credit hour, contact the instructor for details on graduate-credit work. DESCRIPTION for Applied Game Theory: Please see CRN 75725. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to MS:Economics:Policy Econ -UIUC.
74771	Lecture-Discussion	G3	11:00AM -12:20PM	TR	110 Inst Gov & Public Affairs Bldg	Alonso Fontes, D	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: DATA ANALYSIS: PROBLEM SOLVING Section Info: FIELD: Econometrics. DESCRIPTION for Data Analysis for Problem Solving: Students in this course will work in groups to organize and analyze a data set, develop models, solve problems, and present results. Classes will alternate discussions about each step of the process with computer lab work. This class focuses on the process, rather than the results, of data analysis and problem-solving. Participation and presentations will be part of the graded work. REQUIRED PREREQUISITES: Econ 203 and practical experience with R or Python. Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
74772	Lecture-Discussion	G4	11:00AM -12:20PM	TR	110 Inst Gov & Public Affairs Bldg	Alonso Fontes, D	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Advisor Approval Required Credit: 4 hours Section Title: DATA ANALYSIS: PROBLEM SOLVING Section Info: Graduate credit requires an additional paper or project beyond the undergraduate requirements for this course. Contact instructor for details as soon as instruction begins. See the 3-credit section of this title for course description. REQUIRED PREREQUISITES: Econ 503 (MSPE students) or Econ 203 (undergraduate students) and practical experience with R or Python. MSPE students without Econ 503 credit and undergraduate students without Econ 203 or equivalent credit will be removed from this course. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.