What is it about?
With an original analysis of the 2016 Presidential election, we document a number of methodological and algorithmic improvements to Kernel-Regularized Least Squares (KRLS) which are available for R with bigKRLS.
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Why is it important?
Using a series of simulations, we show p-values obtained with the correction found in bigKRLS are more accurate. Also, bigKRLS handles larger sample sizes.
Read the Original
This page is a summary of: Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS, Political Analysis, September 2018, Cambridge University Press,
DOI: 10.1017/pan.2018.33.
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