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