Business Closures and (Re)Openings in Real-Time Using Google Places: Proof of Concept

被引：6

作者：

Rigobon, Daniel E. ^{[1
]}

Duprey, Thibaut ^{[2
]}

Kotlicki, Artur ^{[3
]}

Schnattinger, Philip ^{[3
]}

Baharian, Soheil ^{[2
]}

Hurd, Thomas R. ^{[4
]}

机构：

[1] Princeton Univ, Operat Res & Financial Engn ORFE, Princeton, NJ 08540 USA

[2] Bank Canada, Ottawa, ON K1A 0G9, Canada

[3] Bank England, London EC2R 8AH, England

[4] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada

来源：

JOURNAL OF RISK AND FINANCIAL MANAGEMENT | 2022年 / 15卷 / 04期

关键词：

business entry rate; business exit rate; Google Places; real-time; small and medium enterprises;

D O I：

10.3390/jrfm15040183

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

We present a new estimation of business opening and closure rates using data from Google Places-the data set behind the Google Maps service. Our algorithm, through a bisection routine, counts the appearance and disappearance of "pins" that represent unique businesses. As a proof of concept, we compute business opening and closure rates for the city of Ottawa during the reopening phase of the COVID-19 pandemic in mid-2021. The lifting of restrictions coincides with a wave of re-entry of temporarily closed businesses, suggesting that government support may have facilitated the survival of hibernating businesses. Our entry estimates are validated by a survey of new businesses. This methodology allows policymakers to monitor business dynamics in quasi-real-time during rapidly unfolding crises.

引用

页数：10

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