Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Research Computing Services
  • Online Requests
  • FAQ
  • Blog
  • Contact Us
  • About Us
  • Faculty Projects
  • Training
  • Compute Cluster & Data Storage
  • Data Practices
  • Help
  • …→
  • Harvard Business School→
  • Research Computing Services→
  • About Us
    • About Us
    • Statistical & Data Services
    • Software Licensing
    • Research Facilitation
    • Statistical Resources
    • Areas of Expertise
    • Our Team
    • Usage and Policies
    →
  • Statistical Resources→

About Us

About Us

  • Statistical & Data Services
  • Software Licensing
  • Research Facilitation
  • Statistical Resources
  • Areas of Expertise
  • Our Team
  • Usage and Policies

Statistical Resources

Statistical Resources

  • Statistical & Data Services
  • Software Licensing
  • Research Facilitation
  • Statistical Resources
  • Areas of Expertise
  • Our Team
  • Usage and Policies
3ms

Technical Papers

Our statisticians have compiled a few useful technical notes on various topics. In addition, the following document organizes many of these notes by topic and provides further details:
  • RCS Econometrics Guide
  • How to interpret coefficients for binary models and count data models
  • An introduction to Arellano-Bond model
  • An introduction to Heteroskedasticity and Autocorrelation Consistent estimators
  • An introduction to mixed model
  • An introduction to regressions when dependent variable is a proportion
  • An introduction to endogeneity-related methods
  • An introduction to Quasi-MLE Poisson
  • An introduction to censored, truncated or selected data
  • An introduction to survival analysis
  • An introduction to count data models
  • An introduction to GMM
  • An introduction to Hausman-Taylor model
  • An introduction to kernel regression
  • How to calculate clustered standard errors using SAS
  • An introduction to R
  • The Cramer-Rao lower bound - derivation and examples
  • Projection Matrices and Regression Sum of Squares
  • The Frisch-Waugh-Lovell Theorem
  • Matrix Derivation of the Frisch-Waugh-Lovell Theorem
  • Delta Method

Blogs

Please see the RCS blog for entries from team members for a range of statistical and data related topics. In addition, some analysts on our team maintain their own blogs:
  • Xiang Ao's personal blog
ǁ
Campus Map
Research Computing Services (RCS) 
Harvard Business School
Baker Library, B90, 25 Harvard Way
Boston, MA 02163
Phone: 617.495.6100
Email: research@hbs.edu
→Map & Directions
→More Contact Information
→Terms Of Service
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College