Spatial Interactions and the Spread of COVID-19: A Network Perspective

Zhang, Cui; Zhang, Dandan

doi:10.1007/s10614-022-10278-y

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…Outside of labor market, a number of papers focus on the impact of the pandemic on consumer behavior (Safara 2020 ), stock markets (Alsayed 2022 ; Gupta et al. 2021 ), bank demand deposits (Cherrat and Prigent 2022 ), inter-country Covid-19 incidence prediction (Basu and Sen 2022 ) and spatial interactions (Zhang and Zhang 2022 ) whereas others focus on gender gap (Ham 2021 ), labor market structure and occupational differences (Cortes and Forsythe 2020 ; Kikuchi et al. 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework

Bilgel

Karahasan²

2023

Comput Econ

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This paper seeks to identify the causal impact of educational human capital on social distancing behavior at workplace in Turkey using district-level data for the period of April 2020 - February 2021. We adopt a unified causal framework, predicated on domain knowledge, theory-justified constraints anda data-driven causal structure discovery using causal graphs. We answer our causal query by employing machine learning prediction algorithms; instrumental variables in the presence of latent confounding and Heckman’s model in the presence of selection bias. Results show that educated regions are able to distance-work and educational human capital is a key factor in reducing workplace mobility, possibly through its impact on employment. This pattern leads to higher workplace mobility for less educated regions and translates into higher Covid-19 infection rates. The future of the pandemic lies in less educated segments of developing countries and calls for public health action to decrease its unequal and pervasive impact.

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