Quantitative Methods in Economics
ECON 300
Fall 2017
| Section:
01
02
03
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| Certificates: Applied Data Science, The Study of Education |
| Course Cluster: Data Analysis Minor, Education Studies Minor |
This course is an introduction to quantitative techniques widely used by economists. Topics include various methods of applied statistics that facilitate the understanding of economic literature and the pursuit of empirical research: elements of probability, correlation, multiple regression, and hypothesis testing. The weekly lab sections are required; labs explore issues relating to the nature and sources of economics data and introduce appropriate statistical computing tools. This class will meet three times each week: twice with an economics professor, and once with a Quantitative Analysis Center (QAC) instructor. |
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| Credit: 1.25 |
Gen Ed Area Dept:
SBS ECON |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: ECON110 |
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Fulfills a Requirement for: (BIOL)(CADS)(DATA-MN)(ECON-MN)(ECON)(EDST-MN)(EDST)(PSYC) |
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Past Enrollment Probability: 75% - 89% |
| SECTION 01 | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
Students will use a free e-book titled "Statistics for Economists: A Beginning" by John E. Floyd, which can be downloaded at https://www.economics.utoronto.ca/jfloyd/stats/ecstats.pdf. Additional, optional supplementary reference materials may be shared with students.
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Examinations and Assignments:
Weekly problem sets, three exams, a research paper. |
Additional Requirements and/or Comments:
Following a learning by doing approach, the course's lab sessions introduce students to statistical computing. Through a series of hands-on exercises, we learn to work with a variety of data formats and use the programming capabilities of our statistical analysis software (e.g. Stata) to effectively manage and analyze our data.
Completion of Math 118 or Math 122 required, or placement by the Math Department into a 200 level math course. Pre-req overrides will be approved by the Professor teaching Section 01 of ECON 300. |
| Instructor(s): Hornstein,Abigail S. Kaparakis,Emmanuel I. Times: ..T.R.. 08:50AM-10:10AM; .....F. 08:20AM-09:40AM; Location: PAC107; ALLB204; |
| Total Enrollment Limit: 33 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 10 | GRAD: X | SR non-major: 0 | JR non-major: 3 | SO: 30 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
| SECTION 02 | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
Probably (but not definitely): Wonnacott & Wonnacott, INTRODUCTORY STATISTICS FOR BUSINESS AND ECONOMICS, 4th ed. |
Examinations and Assignments:
Weekly quizzes based on problem sets, three exams, a research paper. |
Additional Requirements and/or Comments:
Following a learning by doing approach, the course's lab sessions introduce students to statistical computing. Through a series of hands-on exercises, we learn to work with a variety of data formats and use the programming capabilities of our statistical analysis software (e.g. Stata) to effectively manage and analyze our data.
Completion of Math 118 or Math 122 required, or placement by the Math Department into a 200 level math course. Pre-req overrides will be approved by the Professor teaching Section 01 of ECON 300. |
| Instructor(s): Keats,Anthony Bruno Kaparakis,Emmanuel I. Times: .M.W... 10:50AM-12:10PM; .....F. 10:50AM-12:10PM; Location: PAC002; ALLB204; |
| Total Enrollment Limit: 33 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 1 | GRAD: X | SR non-major: 0 | JR non-major: 3 | SO: 30 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 2 | 1st Ranked: 0 | 2nd Ranked: 2 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
| SECTION 03 | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
Probably (but not definitely): Wonnacott & Wonnacott, INTRODUCTORY STATISTICS FOR BUSINESS AND ECONOMICS |
Examinations and Assignments:
Weekly problem sets, three exams, a research paper. |
| Additional Requirements and/or Comments: Same as Section 01 Above |
| Instructor(s): Wang,Peter Kaparakis,Emmanuel I. Times: .M.W... 02:50PM-04:10PM; .....F. 02:50PM-04:10PM; Location: PAC002; ALLB204; |
| Total Enrollment Limit: 33 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 8 | GRAD: X | SR non-major: 0 | JR non-major: 3 | SO: 30 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 1 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 1 |
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