Department of Government, Harvard University

Konstantin Kashin is a PhD Candidate in the Department of Government and an affiliate of the Institute for Quantitative Social Science at Harvard University. His primary research interests include quantitative political methodology and computational social science, with a focus on text as data and causal inference. He is interested in applying these methods to the study of policy diffusion and interest group politics.

Recent Blog Posts
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- Theory of Maximum Likelihood Estimation | Tags: statistics R
- Network Visualization with D3.js | Tags: data visualization D3.js
- Scraping PDFs and Word Documents with Python | Tags: python bash
- Note on Bivariate Regression | Tags: regression
- Bootstrap Confidence Interval Methods in R | Tags: R bootstrapping

I’ve finally updated and uploaded a detailed note on maximum likelihood estimation, based in part on material I taught in Gov 2001. It is available in full here. To summarize... »

Here is a visualization I constructed using D3.js based on a visualization for Harvard’s Stat 221 class of a network of individuals for whom HIV status is known (original visualization... »

This week I wanted to write a Python script that was able to extract text from both pdf files and Microsoft Word documents (both .doc and .docx formats). This actually... »

I’ve just updated and uploaded a note on bivariate regression from a sampling perspective (based on GOV 2000 material): Note on Bivariate Regression: Connecting Practice and Theory »

This post briefly sketches out the types of bootstrapped confidence intervals commonly used, along with code in R for how to calculate them from scratch. Specifically, I focus on nonparametric... »