3 results match your criteria: "1601 University Ave[Affiliation]"

Potential licensing reforms in light of COVID-19.

Health Policy Open

December 2022

The Knee Center for the Study of Occupational Regulation, John Chambers College of Business and Economics, West Virginia University, 1601 University Ave, Morgantown, WV 26506, United States.

In 2020, COVID-19 threatened to overwhelm healthcare capacity, forcing policymakers to enact temporary waivers of licensing restrictions. Research finds that occupational licensing reduces the supply of professionals in a regulated field, and reduces geographic mobility, contributing to the primary care professional shortage. Scope of practice laws reduce the flexibility of practitioners, exacerbating these shortages.

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Employee satisfaction and stock returns during the COVID-19 Pandemic.

J Behav Exp Finance

March 2022

Department of Economics and Finance, Wehle School of Business, Canisius College, 2001 Main St., Buffalo, NY 14208, United States of America.

The COVID-19 Pandemic has had an unprecedented impact on how employees and employers operate. Employees, directly affected by workplace changes, may provide information regarding future efficiencies. As a result, crowdsourced employee satisfaction ( ) reviews mentioning the COVID-19 Pandemic may contain useful information regarding the future profitability of these firms.

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Height and death in the Antebellum United States: A view through the lens of geographically weighted regression.

Econ Hum Biol

January 2012

West Virginia University, Department of Economics, 1601 University Ave., PO Box 6025, Morgantown, WV 26506-6025, USA.

Factors related to geography such as climate, natural resources or waterways often affect human activities. However, traditional approaches such as ordinary least squares (OLS) have limitations in investigating such patterns. Unlike OLS regression, geographically weighted regression (GWR) allows the coefficients of explanatory variables to differ by locality by giving relatively more weight to geographically close observations.

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