scholarly journals The Impact of Paid Family Leave on Employers: Evidence from New York

2021 ◽  
Author(s):  
Ann Bartel ◽  
Maya Rossin-Slater ◽  
Christopher Ruhm ◽  
Meredith Slopen ◽  
Jane Waldfogel

2021 ◽  
Author(s):  
Ann P. Bartel ◽  
Maya Rossin-Slater ◽  
Christopher J. Ruhm ◽  
Meredith Slopen ◽  
Jane Waldfogel


Vaccine ◽  
2021 ◽  
Author(s):  
Agnitra Roy Choudhury ◽  
Solomon W. Polachek


2021 ◽  
Vol 7 ◽  
pp. 237802312110619
Author(s):  
Ann P. Bartel ◽  
Maya Rossin-Slater ◽  
Christopher J. Ruhm ◽  
Meredith Slopen ◽  
Jane Waldfogel

The United States is one of the few countries that does not guarantee paid family leave (PFL) to workers. Proposals for PFL legislation are often met with opposition from employer organizations, which fear disruptions to business, especially among small employers. But there are limited data on employers’ views. The authors surveyed firms with 10 to 99 employees in New York and New Jersey on their attitudes toward PFL programs before and during the coronavirus disease 2019 (COVID-19) pandemic. There was high support for state PFL programs in 2019 that rose substantially over the course of the pandemic: by the fall of 2020, almost 70 percent of firms were supportive. Increases in support were larger among firms that had employees using PFL, suggesting that experience with PFL led to employers becoming more supportive. Thus, concerns about negative impacts on small employers should not impede efforts to expand PFL at the state or federal level.



2020 ◽  
Vol 67 ◽  
pp. 101921
Author(s):  
Luke P. Rodgers


2020 ◽  
Vol 55 (S2) ◽  
pp. 807-814
Author(s):  
Diana Montoya‐Williams ◽  
Molly Passarella ◽  
Scott A. Lorch


Author(s):  
Agnitra Choudhury ◽  
Solomon W. Polachek




2009 ◽  
Vol 8 (2) ◽  
pp. 89-94
Author(s):  
Robyn J. Barst ◽  
Marc Humbert ◽  
Ivan M. Robbins ◽  
Lewis J. Rubin ◽  
Robyn J. Park

A discussion among attendees of the 4th World Symposium on Pulmonary Hypertension took place to share “an insider's look” into the current and future research and treatment implications in pulmonary hypertension. Myung H. Park, MD, guest editor of this issue of Advances in Pulmonary Hypertension, Assistant Professor of Medicine and Director, Pulmonary Vascular Diseases Program, Division of Cardiology, University of Maryland School of Medicine, Baltimore, moderated the discussion. Participants included Robyn Barst, MD, Professor Emerita, Columbia University, New York; Marc Humbert, MD, PhD, Universite Paris-Sud, French Referal Center for Pulmonary Hypertension, Hopital Antoine-Beclere, Assistance Publique Hopitaux de Paris, Clamart, France; Ivan Robbins, MD, Associate Professor of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee; and Lewis J. Rubin, MD, Clinical Professor, Department of Medicine, University of California, San Diego.



2020 ◽  
Author(s):  
Eduardo Atem De Carvalho ◽  
Rogerio Atem De Carvalho

BACKGROUND Since the beginning of the COVID-19 pandemic, researchers and health authorities have sought to identify the different parameters that govern their infection and death cycles, in order to be able to make better decisions. In particular, a series of reproduction number estimation models have been presented, with different practical results. OBJECTIVE This article aims to present an effective and efficient model for estimating the Reproduction Number and to discuss the impacts of sub-notification on these calculations. METHODS The concept of Moving Average Method with Initial value (MAMI) is used, as well as a model for Rt, the Reproduction Number, is derived from experimental data. The models are applied to real data and their performance is presented. RESULTS Analyses on Rt and sub-notification effects for Germany, Italy, Sweden, United Kingdom, South Korea, and the State of New York are presented to show the performance of the methods here introduced. CONCLUSIONS We show that, with relatively simple mathematical tools, it is possible to obtain reliable values for time-dependent, incubation period-independent Reproduction Numbers (Rt). We also demonstrate that the impact of sub-notification is relatively low, after the initial phase of the epidemic cycle has passed.





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