This course is an introduction to econometric data analysis. The statistical methods covered enable analysis of relationships between variables in data, with special attention to identification of true casual effects. Topics covered include linear and simple nonlinear regression models, internal and external validity, methods for panel data and binary dependent variables, instrumental variable methods, use of experimental and quasi-experimental data, and basic time series methods. The course included hands-on data analysis and report writing.
Spring | Summer | Fall | ||
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(Session 1) | (Session 2) | |||
2023 |
Econometrics (4c)
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Econometrics (4c)
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Econometrics (4c)
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2022 |
Econometrics (4c)
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Econometrics (4c)
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Econometrics (4c)
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2021 |
Econometrics (4c)
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Econometrics (4c)
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Econometrics (4c)
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2020 |
Econometrics (4c)
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Econometrics (4c)
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Econometrics (4c)
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2019 |
Econometrics (4c)
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Econometrics (4c)
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Econometrics (4c)
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2018 |
Econometrics (4c)
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Econometrics (4c)
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2017 |
Econometrics (4c)
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Econometrics (4c)
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2016 |
Econometrics (4c)
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Econometrics (4c)
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2015 |
Econometrics (4c)
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Econometrics (4c)
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2014 |
Econometrics (4c)
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Econometrics (4c)
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2013 |
Econometrics (4c)
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Econometrics (4c)
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2012 |
Econometrics (4c)
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2011 |
Econometrics (4c)
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2010 |
Econometrics (4c)
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2009 |
Econometrics (4c)
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2008 |
Econometrics (4c)
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2007 |
Econometrics (4c)
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2006 |
Econometrics (4c)
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2005 |
Econometrics (4c)
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2004 |
Econometrics (4c)
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2003 |
Econometrics (4c)
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2002 | ||||
2001 | ||||
2000 | ||||
1999 | ||||
1998 |