Dr. Peter Pütz

Research Interests:

  • Generalized additive models for location, scale and shape
  • Meta-research in economics and medicine
  • Rent indices
  • Reproducibility of quantitative research
  • Statistical methods for impact evaluation and development economics
  • Statistical consulting / Application of statistical Methods in various fields of research (e.g. epidemiology, ecology etc.)

Consulting Activities:

Publications in peer-reviewed journals:

  • Darras, K., Pütz, P., Fahrurrozi, Remboldt, K., Tscharntke, T. (2016). Measuring sound detection spaces for acoustic animal sampling and monitoring, in: Biological Conservation, Vol. 201, 29-37.
  • Pütz, P., Kneib, T. (2018). A Penalized Spline Estimator For Fixed Effects Panel Data Models, in: AStA Advances in Statistical Analysis, Vol. 102(2), 145-166
  • Lange, S., Pütz, P., Kopp, T. (2018). Do Mature Economies Grow Exponentially? In: Ecological Economics, Vol. 147, 123-133. Discussions about the paper in the media can be found here and here.

Discussion papers:

  • Hohberg, M., Pütz, P., Kneib, T. (2017). Treatment effects beyond the mean using GAMLSS. Arxiv working paper 1806.09386. Link
  • Lange, S., Pape, U.J., Pütz, P. (2018). Small area estimation of poverty under structural change. Policy research working paper 8472, the World Bank. Link

Dissertation:

  • Pütz, P. (2019). Causality, Prediction, and Replicability in Applied Statistics: Advanced Models and Practices. Link

Miscellaneous:

  • Pütz, P. (2018). The social costs of air travel in academia: A case study on a German-Indonesian research project. Poster presented at the symposium “Socio-ecological transformations of tropical lowland rainforests" on Bali. Link

Software:

  • R Package pamfe: Semiparametric Regression for Fixed Effects Panel Data Models with Simultaneous Confidence Bands. Package Download: pamfe.tar.gz pamfe_0.2.zip

Courses (just contact me if you want to have any Latex files or the like) :

  • Course on statistical inference and good (and not so good) statistical practice Link
  • Shortened and renewed course on statistical inference and good (and not so good) statistical practice Link
  • Course on mixed models Link
  • Course on data wrangling in R with dplyr Link
  • Course on data visualization in R with ggplot2 Link