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Small businesses and government assistance during COVID-19: Evidence from the paycheck protection program in the U.S.

The COVID-19 pandemic has caused unprecedented losses for small businesses in cities across the globe. Policymakers have relied on a wide range of measures to support firms and sustain business continuity. However, significant concerns have been …

Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of ``living with COVID-19''

Background In response to COVID-19, Southeast Asian (SEA) countries had imposed stringent lockdowns and restrictions to mitigate the pandemic ever since 2019. Because of a gradually boosting vaccination rate along with a strong demand for economic …

Fair Chance Act failures? Employers' hiring of people with criminal records

Abstract Research summary We examine the efficacy of the California Fair Chance Act (CFCA) policy---legislative stipulations regarding employers' hiring of individuals with criminal records---on practices and outcomes in two Southern California …

Geographies of Opportunity for Youth Across the Contiguous United States

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The Impact of COVID-19 on Small Businesses in the US: A Longitudinal Study from a Regional Perspective

Small businesses have suffered disproportionately from the COVID-19 pandemic. We use near-real-time weekly data from the Small Business Pulse Survey (April 26, 2020 - June 17, 2021) to examine the constantly changing impact of COVID-19 on small …

Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010: Stability, growth and polarisation

In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades …

The PySAL Ecosystem: Philosophy and Implementation

PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, …

Robust empirical Bayes approach for Markov chain modeling of air pollution index

Smoothed Estimators for Markov Chains with Sparse Spatial Observations

Empirical applications of the Markov chain model and its spatial extensions suffer from issues induced by the sparse transition probability matrix, which usually results from adopting maximum likelihood estimators (MLEs). Two discrete kernel …

Spatiotemporal patterns of alcohol outlets and violence: A Spatial Heterogeneous Markov Chain Analysis