ECON 491

Fall 2023 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 fall 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
78399	Lecture-Discussion	A3	9:30AM -10:50AM	TR	1002 Lincoln Hall	Weinstein, R	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 3 hours Section Title: NON-LINEAR ECONOMETRIC MODELS Section Info: FIELD: Econometrics. DESCRIPTION for Non-Linear Econometrics Models: Duration analysis is used to address a wide range of questions relevant for policy organizations, central banks, the financial sector, and industry generally. Examples of these questions include: what is the probability that an individual will exit unemployment this week, given he has been unemployed for the past eight weeks; what is the probability that an individual defaults on their mortgage this month given they have not defaulted for the past 12 months; what is the probability that a firm adopts a new technology this year conditional on not having adopted for the past 3 years, and how does this depend on the firm’s market share. The goal of this course is to develop the tools to understand, estimate, and interpret duration analysis models—statistical models used to analyze duration data. Students will gain practical experience organizing data and writing code for statistical software to estimate these models and better understand economic phenomena. PREREQUISITES: ECON 302 or 303, and ECON 471. FALL 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).
78400	Lecture-Discussion	A4	9:30AM -10:50AM	TR	1002 Lincoln Hall	Weinstein, R	Part of Term: 1 Date Range: 08/21/23-12/06/23 Special Approval: Advisor Approval Required Credit: 4 hours Section Title: NON-LINEAR ECONOMETRIC MODELS 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 hour section of this title for course description. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
78395	Lecture-Discussion	B3	11:00AM -12:20PM	TR	119 David Kinley Hall	Bartik, A	Part of Term: 1 Date Range: 08/21/23-12/06/23 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).
78396	Lecture-Discussion	B4	11:00AM -12:20PM	TR	119 David Kinley Hall	Bartik, A	Part of Term: 1 Date Range: 08/21/23-12/06/23 Special Approval: Advisor Approval Required Credit: 4 hours Section Title: DECISION-MAKING 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 for course details. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
78397	Lecture-Discussion Lecture-Discussion	C3 C3	9:30AM -10:50AM 9:30AM -10:50AM	R T	317 David Kinley Hall 70B Wohlers Hall	Alonso Fontes, D Alonso Fontes, D	Part of Term: 1 Date Range: 08/21/23-12/06/23 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 of 4 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 471 and familiarity with R or Python. Students without Econ 471 or equivalent credit will be removed from this course. FALL 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).
78398	Lecture-Discussion Lecture-Discussion	C4 C4	9:30AM -10:50AM 9:30AM -10:50AM	R T	317 David Kinley Hall 70B Wohlers Hall	Alonso Fontes, D Alonso Fontes, D	Part of Term: 1 Date Range: 08/21/23-12/06/23 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 471 (undergraduate students) and familiarity with R or Python. MSPE students without Econ 503 credit and undergraduate students without Econ 471 or equivalent credit will be removed from this course. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
78463	Lecture-Discussion Lecture-Discussion	CC3 CC3	11:00AM -12:20PM 11:00AM -12:20PM	R T	209 David Kinley Hall 70B Wohlers Hall	Alonso Fontes, D Alonso Fontes, D	Part of Term: 1 Date Range: 08/21/23-12/06/23 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 of 4 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 471 and familiarity with R or Python. Students without Econ 471 or equivalent credit will be removed from this course. FALL 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).
78464	Lecture-Discussion Lecture-Discussion	CC4 CC4	11:00AM -12:20PM 11:00AM -12:20PM	R T	209 David Kinley Hall 70B Wohlers Hall	Alonso Fontes, D Alonso Fontes, D	Part of Term: 1 Date Range: 08/21/23-12/06/23 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 471 (undergraduate students) and familiarity with R or Python. MSPE students without Econ 503 credit and undergraduate students without Econ 471 or equivalent credit will be removed from this course. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
77798	Lecture-Discussion	D3	11:00AM -12:20PM	MW	125 David Kinley Hall	Armendariz Buaun, R	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 3 hours Section Title: PREDICTIVE ANALYTICS Section Info: FIELD: Econometrics. DESCRIPTION for Predictive Analytics: This course develops analytical tools to employ economic modeling and data to make better strategic decisions. The objective of this course is to foster data-driven critical-thinking skills through econometric analyses and statistical interpretation. 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).
77799	Lecture-Discussion	D4	11:00AM -12:20PM	MW	125 David Kinley Hall	Armendariz Buaun, R	Part of Term: 1 Date Range: 08/21/23-12/06/23 Special Approval: Advisor Approval Required Credit: 4 hours Section Title: PREDICTIVE ANALYTICS 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. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
77796	Lecture-Discussion	E3	9:30AM -10:50AM	MW	119 David Kinley Hall	Cunha Medeiros, M	Part of Term: 1 Date Range: 08/21/23-12/06/23 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 data science topics such as data wrangling and cleaning, exploratory data analysis, inference, and prediction in Python. 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).
77797	Lecture-Discussion	E4	9:30AM -10:50AM	MW	119 David Kinley Hall	Cunha Medeiros, M	Part of Term: 1 Date Range: 08/21/23-12/06/23 Special Approval: Advisor Approval Required Credit: 4 hours Section Title: APPLIED MACHINE LEARNING: ECON 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. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.