Relative bed allocation for COVID-19 patients, EHR investments, and COVID-19 mortality outcomes.

Managing flexibility in the relative bed allocation for COVID-19 and non-COVID-19 patients was a key challenge for hospitals during the COVID-19 pandemic. Based on organizational information processing theory (OIPT), we propose that the local electronic health record (EHR) systems could improve patient outcomes through improved bed allocation in the local area. In an empirical analysis of county-level weekly hospital data in the US, relative capacity of beds in hospitals with higher EHR was associated with lower 7-, 14-, and 21-day forward-looking COVID-19 death rate at the county-level.

The response of household debt to COVID-19 using a neural networks VAR in OECD.

This paper investigates responses of household debt to COVID-19-related data like confirmed cases and confirmed deaths within a neural networks panel VAR for OECD countries. Our model also includes a plethora of non-pharmaceutical and pharmaceutical interventions. We opt for a global neural networks panel VAR (GVAR) methodology that nests all OECD countries in the sample.

Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States.

This paper based on quantile stochastic frontier framework constructs quantile eco-efficiency measures. Using the estimates from the quantile stochastic frontier, the eco-performance of the U.S.

On identifying risk-adjusted efficiency gains or losses of prospective mergers and acquisitions.

We propose a new approach to evaluate and compare ex-ante the risk-adjusted efficiency gains or losses of potential mergers and acquisitions (M &A). We test our methodology in the banking sector by estimating a latent class stochastic frontier model to account for the unobserved heterogeneity. We show that post-prospective M &A financial institutions can be better equipped to withstand potential adverse economic conditions.

Understanding the COVID-19 tourist psyche: The Evolutionary Tourism Paradigm.

Studies across the social sciences are making increasing use of an evolutionary perspective. Yet, despite its potential, the application of evolutionary psychology in tourism research is scant. Evolutionary psychology is arguably one of the most useful approaches to understanding the effects of the Coronavirus pandemic on the tourist's psyche.