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. 2023 Jan 10;81:102330. doi: 10.1016/j.labeco.2023.102330

Fig. 4.

Fig. 4

Mitigating Impact of IT across Individuals. This figure plots the coefficient and the 90% confidence interval of β5 and β6 from Eq. 7:
Unemployedi,t=α+β1ΔMobilitymsa(i),t*Ai+β2ΔMobilitymsa(i),t*(1Ai)+β3ITmsa(i)*Ai+β4ITmsa(i)*(1Ai)+β5ΔMobilitymsa(i),t*ITmsa(i)*Ai+β6ΔMobilitymsa(i),t*ITmsa(i)*(1Ai)+Ziδ+Xmsa(i)σ+(Xmsa(i)*Mobilitymsa(i),t)γ++αs(i)+ϵi,t
where Unemployedi,t is a dummy variable that takes the value one if the individual i is unemployment in month t (April/May 2020) and zero if the individual is employed. ΔMobilitymsa(i),t is the change in mobility in month t relative to the pre-COVID baseline. ITmsa(i) is the average level of IT adoption in the MSA. Ai are dummy variables categorizing the respondent according to gender, race, and education subgroups. X includes GDP per capita, population density and the minority share. See Section 3 and Section 5 for more details.