ECON 491

Spring 2024 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 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
76171	Lecture-Discussion	03	2:00PM -3:20PM	MW	David Kinley Hall	Armendariz Buaun, R	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: ADVANCED MICROECONOMIC THEORY Section Info: FIELD: Econometrics. DESCRIPTION for Advanced Microeconomic Theory: This course covers the foundations of microeconomic theory, from Consumer and Producer Theories to an introduction of General Equilibrium. PREREQUISITES: Math 231. 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	04	2:00PM -3:20PM	MW	David Kinley Hall	Armendariz Buaun, R	Part of Term: 1 Date Range: 01/16/24-05/01/24 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: ADVANCED MICROECONOMIC THEORY 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.
76131	Lecture-Discussion	A03	12:30PM -1:50PM	TR	David Kinley Hall	Agiakloglou, C	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: TIME SERIES Section Info: FIELD: Econometrics. DESCRIPTION for Time Series: Coming soon! RESTRICTION INFO: https://go.economics.illinois.edu/SpringRegistration Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
76132	Lecture-Discussion	A04	12:30PM -1:50PM	TR	David Kinley Hall	Agiakloglou, C	Part of Term: 1 Date Range: 01/16/24-05/01/24 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: TIME SERIES 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.
74775	Lecture-Discussion	A3	12:30PM -1:50PM	TR	David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 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	A4	12:30PM -1:50PM	TR	David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 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	B3	2:00PM -3:20PM	TR	David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 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	B4	2:00PM -3:20PM	TR	David Kinley Hall	Bilias, Y	Part of Term: 1 Date Range: 01/16/24-05/01/24 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.
75725	Lecture-Discussion	C3	9:30AM -10:50AM	TR	David Kinley Hall	Alonso Fontes, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 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. SPRING 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).
75726	Lecture-Discussion	C4	9:30AM -10:50AM	TR	David Kinley Hall	Alonso Fontes, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 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.
74771	Lecture-Discussion	D3	11:00AM -12:20PM	TR	David Kinley Hall	Alonso Fontes, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 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. SPRING 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).
74772	Lecture-Discussion	D4	11:00AM -12:20PM	TR	David Kinley Hall	Alonso Fontes, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 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.