VECTOR | [3-0-0:3] |
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DESCRIPTION | This course builds on the knowledge of the linear regression models to introduce students advanced statistical methods to analyze survey, administrative and other types of data of interest to quantitative social scientists. The introduction of statistical methods is integrated into research contexts and designs from a holistic framework and bridge quantitative social science and computational social science (data science). Topics include measurement, prediction, causal inference, natural experiment and program evaluation (difference-in-differences, panel data, instrumental variables, regression discontinuity), applied to both survey and big data. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6193) | We 09:00AM - 11:50AM | Rm 228, E2 | YUEN, Cheuk Yi Kelvin | 30 | 25 | 5 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course studies the role of entrepreneurship in the modern economy. Theories and empirics of startups as a driver of job creation, growth and development, and business cycles will be discussed. The course also examines the effects on venture growth, wealth accumulation, inequality, and innovation in a society. Finally, examples of entrepreneurial public policies will be demonstrated and assessed. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6194) | We 03:00PM - 05:50PM | Rm 103, E1 | YUEN, Cheuk Yi Kelvin | 15 | 11 | 4 | 0 |