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HOME / COMPUTE AND DATA PRACTICES /

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 (pdf)

  • How to interpret coefficients for binary models and count data models. (pdf)
  • An introduction to Arellano-Bond model. (pdf)
  • An introduction to Heteroskedasticity and Autocorrelation Consistent estimators. (pdf)
  • An introduction to mixed model. (pdf)
  • An introduction to regressions when dependent variable is a proportion. (pdf)
  • An introduction to endogeneity-related methods. (pdf)
  • An introduction to Quasi-MLE Poisson. (pdf)
  • An introduction to censored, truncated or selected data. (pdf)
  • An introduction to survival analysis. (pdf)
  • An introduction to count data models. (pdf)
  • An introduction to GMM. (pdf)
  • An introduction to Hausman-Taylor model. (pdf)
  • An introduction to kernel regression. (pdf)
  • How to calculate clustered standard errors using SAS. (pdf)
  • An introduction to R. (pdf)
  • The Cramer-Rao lower bound - derivation and examples. (pdf)
  • Projection Matrices and Regression Sum of Squares. (pdf)
  • The Frisch-Waugh-Lovell Theorem. (pdf)
  • Matrix Derivaiton of the Frisch-Waugh-Lovell Theorem. (pdf)
  • Delta Method. (docx)

Updated 7/30/19

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