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Lecture Notes
- Econometrics Class Notes for PhD by William Greene [Course Website]
- Econometric Analysis of Panel Data Calss Notes for PhD by William Greene [Course Website]
- Econometrics Manuscript for PhD by Bruce Hansen
- Time Series Econometrics Course for PhD by Diebold
- Time Series for Macroeconomics and Finance (2005) for PhD by John Cochrane
- Econometrics Notes for MA by Paul Soderlind
- Econometrics Notes for PhD by Paul Soderlind
- Macroeconomic and Finacial Forecasting by Paul Soderlind
- NBER Summer Institute Econometrics Lectures
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Readings and Others
- Time Series Econometrics Readings by Bruce Hansen
- Time Series Analysis Syllabus by James Stock
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Software
- S-Plus | Finmetrics | Zivot Resources | S News Mailing List Archives
- Gauss | American University | Zivot Resources | Soderlind
- RATS
- Ox | Time Series Modelling
- SAS | UCLA | Little SAS Book
- EViews
- Matlab | Matlab Document | LeSage | Matlab Primer | Cliff's GMM Library
- R | CRAN | Econometrics in R (from J of Statistical Software)
- Stata | UCLA | Princeton
- Bayesian Using Gibbs Sampling (BUGS) | Bayesian Analysis Computation Communication (BACC)
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Books
- Introduction to Econometrics by Stock and Watson
- Introductory Econometrics for Finance by Brooks
- Introdutory Econometrics by Wooldridge Student Resources
- Econometric Analysis of Cross Section and Panel Data by Wooldridge
- Econometric Theory and Methods by Daidson and MacKinnon
- Econometrics by Hayashi
- Applied Econometric Time Series by Enders
- Analysis of Financial Time Series by Tsay
- Applied Macroeconometrics by Favero
- Time Series Analysis by Hamliton
- Modeling Financial Time Series with S-PLUS by Zivot and Wang
- State-Space Models with Regime Switching by Kim and Nelson
- Elements of Forecasting by Diebold
- Non-linear Time Series Models in Empirical Finance by Franses and Dijk
- Elements of Statistical Learning by Hastie, Tibshirani, and Friedman
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Econometrics Lab and Center
- Cowles Foundation in Yale
- Econometrics Laboratory Software Archive in UC Berleley
- Statistical Computing Resources in UCLA