Reader Pathways

Choose A Starting Point

Different readers arrive with different questions. These pathways point to the most useful first stops without requiring a full tour of the site.

Students

Start with the book that matches the course level.

  1. For nonparametric econometrics, begin with the Princeton book for foundations or the Cambridge book for the R-centered advanced treatment.
  2. For reproducible applied econometrics, begin with the Oxford book.
  3. Use Downloads and Teaching for public errata, code archives, and companion PDFs.
  4. Use the Gallery of Code when you want runnable examples tied to np, npRmpi, and crs.

Instructors

Use this site to identify the public companion surface, then request restricted materials when appropriate.

  1. Review Books and Monographs for book-specific companion notes.
  2. Review Teaching Materials for the public/instructor-only boundary.
  3. Publicly linked resources include errata, selected companion code, selected solutions, and package documentation.
  4. Full instructor solution materials, exams, assignments, and slide banks remain request-only unless explicitly released.

Applied Researchers

Start from the empirical task, then move to the relevant book and package.

  1. For mixed continuous/categorical kernel smoothing, start with np and the Princeton/Cambridge material.
  2. For large computational jobs, use npRmpi as the MPI-aware companion to np.
  3. For categorical regression splines and quantile regression splines, start with crs and the Oxford spline material.
  4. Use the Gallery for current worked examples and this Research site for durable references, errata, and citation paths.

Package Users

Start with the software page, then move outward to examples and theory.

  1. Use R Packages for current package versions, CRAN links, GitHub repositories, manuals, and vignettes.
  2. Use the Gallery of Code for working examples and package usage notes.
  3. Use the Research Contributions Map when you want to connect a function family to its book-level method background.
  4. Cite the relevant package article, book, or manual depending on the workflow.

Method Developers

Start with the theory and implementation relationship.

  1. Use Li and Racine (2007) for the broad theory-and-practice foundation.
  2. Use Racine (2019) for an R-centered advanced treatment of conditional moments, density/distribution methods, semiparametric models, and computation.
  3. Use the np source repository and the npRmpi source branch to inspect implementation details.
  4. Treat np as the serial source-of-truth implementation and npRmpi as the MPI-aware sibling for parallel execution.

Readers Looking For A Citation

Start from the artifact you used.

  1. Cite the relevant book when the method, theory, or exposition came from the book corpus.
  2. Cite Hayfield and Racine (2008) for the np package article.
  3. Cite Nie and Racine (2012) for the crs package article.
  4. Use package manuals and CRAN/GitHub pages for current software-version details.

Fast Routes By Topic

If you need… Start Here Then Go To
A first nonparametric econometrics reference Princeton book Cambridge book, np package
Replicable R-centered econometrics Oxford book Gallery examples
Mixed-data kernel regression npreg / npregbw Princeton and Cambridge regression chapters
Density, distribution, and quantiles npudens, npudist, npcdens, npcdist, npqreg Princeton and Cambridge probability/density material
Semiparametric models npplreg, npindex, npscoef Cambridge semiparametric chapters
Regression splines crs Oxford spline primer and crs article
Parallel kernel computation npRmpi Package demos and Gallery scaling notes
Public companion downloads Downloads and Teaching Teaching Materials

Site Roles

Use this site as the durable research map. Use the Gallery as the active code-example layer. Use CRAN, package manuals, and GitHub repositories for current software installation and source details.

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References

Hayfield, Tristen, and Jeffrey S. Racine. 2008. “Nonparametric Econometrics: The np Package.” Journal of Statistical Software 27 (5): 1–32. https://doi.org/10.18637/jss.v027.i05.
Li, Q., and J. Racine. 2007. Nonparametric Econometrics: Theory and Practice. Princeton University Press. https://press.princeton.edu/books/hardcover/9780691121611/nonparametric-econometrics.
Nie, Zhenghua, and Jeffrey S. Racine. 2012. “The crs Package: Nonparametric Regression Splines for Continuous and Categorical Predictors.” R J. 4: 48. https://api.semanticscholar.org/CorpusID:10908672.
Racine, Jeffrey S. 2019. An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics: A Replicable Approach Using R. Cambridge University Press. https://doi.org/10.1017/9781108649841.