The Afternoon Fun Economy

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Abstract/Contents

Abstract: Using GPS data gathered from 2019 to 2022, this paper analyzes the effect Covid-19 and
Work from Home (WFH) had on consumption decisions, specifically in relation to golfing
activity. Integrating thousands of geospatial polygons with vehicular and mobile GPS data, this
paper finds strong growth in golfing throughout Covid-19 and subsequently after. Similarly, the
temporal and daily distribution of golfing trips underwent significant changes, exhibiting growth
midweek and midday. To contextualize these trends against WFH, I conducted a regression over
a fixed panel of golfers active from 2019 to 2021 to identify the effect income and remote job
postings had on golfing growth. Based on the evidence presented in this paper, I find WFH to be
the likely culprit behind the growth in golfing and the change in weekly and daily patterns.

Author	Finan, Alexander
Advisor	Bloom, Nicholas

DOI	https://doi.org/10.25740/vn861yj3383
Location	https://purl.stanford.edu/vn861yj3383

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License: This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International license (CC BY-NC).

Preferred citation: Finan, A. (2023). The Afternoon Fun Economy. Stanford Digital Repository. Available at https://purl.stanford.edu/vn861yj3383. https://doi.org/10.25740/vn861yj3383.

Stanford University, Department of Economics, Honors Theses

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