Research

If you are looking for a copy of one or more of my existing publications, please visit the Reprints page.

Select discussions of some of my published and in-progress work are located on my Thoughts page.

Presentation archive

If you are looking for a PDF copy of a presentation made at a previous conference, you will find it below, sorted by year.

2023

2022

2021

2020

  • All presentations made by colleagues or deferred/cancelled due to COVID

2019

2018

2017

2016

2015

2014

Supplemental Materials

Supplemental materials, if any, for existing publications can be found below.

Available datasets used in my papers

All datasets available for download are provided in the list below.

Helpful research tools

The following lists provide links to software, protocols, algorithms and other tools that may be useful, sorted by type of research being performed.

Finding relevant literature

  • Matter of Facts (a new and potentially interesting means to find relevant articles)
  • Web of Science (the stand-by solution for searching high-quality academic outlets, very helpful when paired with Google Scholar or similar broader searches to capture relevant grey literature)

Reviews and meta-analyses

Simulations, systems dynamics, and modeling

Quantitative analyses of primary data

General purpose econometrics references for R

Beyond the specific items above, there are a number of good textbooks for performing econometric analyses in R. These include compendia that employ multiple packages such as Introduction to Econometrics with R or Principles of Econometrics with R. But there are also texts more closely tied to particular packages such as:

At the end of the day, there is substantial overlap between what these packages can do (some are even partially dependent on others), but they have different function calls and syntax and some are uniquely able to perform certain functions. In my experience, you will pick one as your “workhorse” and call on the others when needed. Just be careful to keep track of which you are using when! For now, here would be my recommendations to get most of what you would want to get accomplished on a day to day basis (more references regarding data input and reporting provided below):

  • Data wrangling: dplyr and tidyr v. data.table (pick one and stick with it, both work and it seems to be a matter of preference except for edge cases)
  • Modeling: fixest for standard OLS, IV, DiD, panel data, logit, probit models with “typical” standard error arrangements (a nice introduction for Stata users is here, which also provides references to more speciality modeling like lme4 for hierarchical linear modeling) – other specialties like SEM (lavaan), time series, or survival analysis have their own packages such as lavaan that go beyond my coverage here
  • Graphics: ggplot2 for graphics generation (R has nice built-in graphics features, but this takes it to another level) and marginaleffects for marginal effect calculation and plotting
  • Reporting: stargazer for tabulation, rmarkdown (to make reproducible code), and Shiny (for web applications)

Content analyses and qualitative data

Generic automation tools and useful applications

  • Zapier (basically a web-based AppleScript)
  • AppleScript and Automator (must learn tools if you are using OS X, Bookends can be scripted)
  • axiom.ai (browser based automation)
  • Bookends (my reference software of choice, OS X only)

General data “wrangling”, analysis, visualization, and reporting

  • R for Data Science (a nice overall summary – basically a book in HTML form, which is intimiately tied to the packages that comprise the tidyverse, including well known and used packages like dplyr and ggplot2
  • R Studio cheat sheets for several of the key R packages
  • Tidymodels – I have not used this extensively but it looks to be a gentle introduction into Big Data and Machine Learning based methods in R
  • Tableau
  • Stargazer (Results table generation for R)
  • Esttab and Tabout (Results table generators for STATA)
  • A seemingly simple tool for creating websites (I use WordPress but this seems effective with fewer startup costs)
  • LaTeX and the Beamer package (you can use an online LaTeX typesetter like Overleaf for this purpose) – a way to quickly make nice looking and reusable presentations
  • Bookdown – Tools to convert your R code to LaTeX, and then onwards to PDFs and book formats

Tools for reviewing the work of others

Writing and crafting articles

Construct and variable repositories

How to connect to essential databases

Accessing and processing publicly available data

Research impact

  • SCite – extracts citations and the context in which they are used with some rudimentary tagging (e.g., supporting, contrasting, self-cite
  • Altmetric – Not a link but actually a javascript that you can add as a bookmark to call up the Altmetric score for any particular article you are looking at (you can see more details at the Altmetric website with information on the API available here)
  • Grobid – An automated way for extracting bibliometric data from individual articles

Other interesting databases for specific purposes

Interesting initiatives started by various groups

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