Resources

Micro

J. Levin’s Micro Notes

Macro

1.General Notes: Dirk Krueger’s Notes (2012) & Per Krusell’s Notes (2014)

2. Violante’s Heterogeneity in Macroeconomics (2014 Spring)

Econometrics

Hensen’s Econometrics Notes (2017)

Structural Model

1. Discrete Choice Methods with Simulation, by Kenneth Train

2. Practical Methods for Estimation of Dynamic Discrete Choice Models, by Arcidiacono and Ellickson

Python

1. Learn Python 3 the Hard Way

2. 廖雪峰的Python 3 教程

R

1.  R in Action (Book)

2. Hadley Wickham’s R for Data Science

3. Hadley Wickham’s Advanced R  with a recommended Solutions

4. R Reference Card 2.0

LaTeX

1. The Not So Short Introduction To LaTeX (Chinese Version, 2017)

2.Wikibooks: LaTeX or Presentation

3. John C Frain’s Applied LATEX for Economists, Social Scientists and Others (2014)

GIS

MIT GIS Workshop

Big Data & ML

1. Matt Taddy’s Big Data Course

2.Thorsten Joachims’s Counterfactual Machine Learning

3. Benjamin Soltoff’s Computing for the Social Science

4. Econ-ML 

Conference:

1.IZA Events;

2. NBER Summer Institute

Summer School:

1. Price Theory Summer Camp UChicago 2019

2. IZA Summer School in Labor Economics 2019

3. ICPSR Summer Program 2019 UMichigan 2019

Others:

1. Purdue OWL: APA Style Citation

2. REStat’s Data Archive

3. Datasets from Shanghai NYU

4. General Resources from Andrew Johnston‘s website

5. John Cochrane‘s Writing Tips for Ph. D. Students

6. The Equality of Opportunity Project

7. Student Resources from Econ Department UChicago

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