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Applied Econometrics

Introduction and overview
Predictive margins
Regression diagnostics
Instrumental variables
Ordered logit models
Foundations of time series
Static panel data analysis
Dynamic panel data analysis
Synthetic control methods
Model uncertainty
Foundations of spatial data science
Markov chains
Spatial heterogeneity
Spatial spillovers
Foundations of machine learning

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Applied Econometrics
Foundations of spatial data science

Foundations of spatial data science

Why do need to take this course?

1-2 hours per week, for 8 weeks

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Last updated on Jan 7, 2022

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Carlos Mendez

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