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Report
Approximating Grouped Fixed Effects Estimation via Fuzzy Clustering Regression
We propose a new, computationally-efficient way to approximate the “grouped fixed-effects” (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the regularization parameter m approaches 1, the fuzzy clustering objective converges to the GFE objective; moreover, we recast this objective as a standard Generalized Method of Moments problem. We replicate the empirical results of Bonhomme and Manresa (2015) and show that our estimator delivers almost identical ...
Discussion Paper
What Have Workers Done with the Time Freed up by Commuting Less?
The COVID-19 pandemic has dramatically changed the way Americans spend their time. One of the most enduring shifts has occurred in the workplace, with millions of employees making the switch to work from home. Even as the pandemic has waned, more than 15 percent of full-time employees remain fully remote and an additional 30 percent work in hybrid arrangements (Barrero, Bloom, and Davis). These changes have substantially reduced time spent commuting to work; in the aggregate, Americans now spend 60 million fewer hours traveling to work each day. In this post, we investigate how people spend ...