The Labor Market Impact of Mandated Employment Verification Systems

2012 ◽  
Vol 102 (3) ◽  
pp. 543-548 ◽  
Author(s):  
Catalina Amuedo-Dorantes ◽  
Cynthia Bansak
Keyword(s):  
United States ◽  
Labor Market ◽  
State Level ◽  
The United States ◽  
Mixed Effects ◽  
Food Services ◽  
Male And Female ◽  
Female Workers ◽  
Verification Systems ◽  
The Impact

Employment verification systems covered about one out of four people hired in the United States in 2010. In this paper, we evaluate the impact of state-level employment verification mandates on the employment and wages of likely unauthorized workers across the entire United States between 2004 and 2010. We find that E-Verify mandates, particularly those covering all employers, significantly curtail the employment likelihood of likely unauthorized male and female workers. However, they appear to have mixed effects on wages and may redistribute likely unauthorized labor towards industries often benefiting from specific exclusions, such as agriculture or food services.

State-Level Cyberbullying Policy

2016 ◽  
pp. 62-82 ◽  
Author(s):  
Ramona Sue McNeal ◽  
Susan M. Kunkle ◽  
Lisa Dotterweich Bryan
Keyword(s):  
United States ◽  
Information Technology ◽  
State Level ◽  
The United States ◽  
Government Policies ◽  
Policy Adoption ◽  
Legislative Action ◽  
Bullying Laws ◽  
The Impact ◽  
Cyberbullying Policy

Cyberbullying is the use of information technology to deliberately hurt, taunt, threaten or intimidate someone. Currently, there are no federal statutes in the United States which directly address this problem. The response of the states has varied from attempting to use existing anti-bullying laws to limit cyberbullying to passing new laws that specifically target cyberbullying behavior. An important question is, “why are some states taking a lead in combating this cybercrime through new laws while others are relying on existing laws?” The literature on policy adoption suggests politics, resources and public need are important factors in predicting why certain states are more likely to enact government policies. This chapter analyzes the impact of these factors and others on policy adoption by exploring the level of legislative action to update existing cyberbullying laws for 2009 through 2014.

scholarly journals Educational Attainment and Nonwage Labor Market Returns in the United States

AERA Open ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 233285841987405
Author(s):  
Lauren Schudde ◽  
Kaitlin Bernell
Keyword(s):  
United States ◽  
Labor Market ◽  
Educational Attainment ◽  
The United States ◽  
Employment Outcomes ◽  
Retirement Plans ◽  
Market Returns ◽  
Labor Market Returns ◽  
Nationally Representative ◽  
The Impact

Although decades of research highlight the impact of schooling on earnings, less evidence exists regarding other employment outcomes. Nonwage labor market returns to education are important in the United States, where health insurance and retirement income are typically tied to employment. Using longitudinal, nationally representative data, we examine the role of educational attainment in predicting nonwage employment outcomes and control for a host of individual and institutional measures. Even after controlling for individual and institutional characteristics, results indicate that educational attainment predicts employment and markers of “good” jobs, like access to employer-provided health and dental insurances, retirement plans, and paid leave. Furthermore, by delineating between various subbaccalaureate levels of college attainment, our results illustrate the complex variation in returns to college for those who did not complete a 4-year degree.

The Ranking Of Terminal And Instrumental Values By Working Professionals In Thailand, Singapore And The United States: What Is Important And How Do They Impact Decision-Making?

2011 ◽  
Vol 7 (4) ◽  
Author(s):  
Natcha Limthanakom ◽  
William Lauffer ◽  
Bahaudin G. Mujtaba ◽  
Edward F. Murphy, Jr.
Keyword(s):  
United States ◽  
The United States ◽  
Research Literature ◽  
Cross Cultural ◽  
Individual Values ◽  
Male And Female ◽  
Value Differences ◽  
Instrumental Values ◽  
Western Values ◽  
The Impact

The purpose of this study is to explore gender and cross-cultural gender differences with respect to individual values. This study will fill a gap in the research literature as few studies have explored male and female value differences in Thailand and few have explored sex differences between eastern values as compared to western values in the United States and another eastern nation, Singapore. An understanding of the attitudes, cultures and values in other countries becomes particularly significant given current globalization trends. Furthermore, researchers also need to understand different demographics to better anticipate the impact of socio-demographic variation in cross-cultural investigations.

scholarly journals COVID-19 scenarios for the United States

2020 ◽  
Author(s):  
◽  
Simon I Hay
Keyword(s):  
United States ◽  
Model Performance ◽  
State Level ◽  
The United States ◽  
Economic Damage ◽  
Reference Scenario ◽  
Level Model ◽  
Per Capita ◽  
Novel Coronavirus ◽  
The Impact

The United States (US) has not been spared in the ongoing pandemic of novel coronavirus disease. COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), continues to cause death and disease in all 50 states, as well as significant economic damage wrought by the non-pharmaceutical interventions (NPI) adopted in attempts to control transmission. We use a deterministic, Susceptible, Exposed, Infectious, Recovered (SEIR) compartmental framework to model possible trajectories of SARS-CoV-2 infections and the impact of NPI at the state level. Model performance was tested against reported deaths from 01 February to 04 July 2020. Using this SEIR model and projections of critical driving covariates (pneumonia seasonality, mobility, testing rates, and mask use per capita), we assessed some possible futures of the COVID-19 pandemic from 05 July through 31 December 2020. We explored future scenarios that included feasible assumptions about NPIs including social distancing mandates (SDMs) and levels of mask use. The range of infection, death, and hospital demand outcomes revealed by these scenarios show that action taken during the summer of 2020 will have profound public health impacts through to the year end. Encouragingly, we find that an emphasis on universal mask use may be sufficient to ameliorate the worst effects of epidemic resurgences in many states. Masks may save as many as 102,795 (55,898-183,374) lives, when compared to a plausible reference scenario in December. In addition, widespread mask use may markedly reduce the need for more socially and economically deleterious SDMs.

scholarly journals A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 118
Author(s):  
Dexuan Sha ◽  
Anusha Srirenganathan Malarvizhi ◽  
Qian Liu ◽  
Yifei Tian ◽  
You Zhou ◽  
...  
Keyword(s):  
United States ◽  
Data Collection ◽  
Socioeconomic Factors ◽  
State Level ◽  
The United States ◽  
Dynamic Factor ◽  
Time Frequency ◽  
Socioeconomic Determinant ◽  
Socioeconomic Data ◽  
The Impact

The outbreak of COVID-19 from late 2019 not only threatens the health and lives of humankind but impacts public policies, economic activities, and human behavior patterns significantly. To understand the impact and better prepare for future outbreaks, socioeconomic factors play significant roles in (1) determinant analysis with health care, environmental exposure and health behavior; (2) human mobility analyses driven by policies; (3) economic pressure and recovery analyses for decision making; and (4) short to long term social impact analysis for equity, justice and diversity. To support these analyses for rapid impact responses, state level socioeconomic factors for the United States of America (USA) are collected and integrated into topic-based indicators, including (1) the daily quantitative policy stringency index; (2) dynamic economic indices with multiple time frequency of GDP, international trade, personal income, employment, the housing market, and others; (3) the socioeconomic determinant baseline of the demographic, housing financial situation and medical resources. This paper introduces the measurements and metadata of relevant socioeconomic data collection, along with the sharing platform, data warehouse framework and quality control strategies. Different from existing COVID-19 related data products, this collection recognized the geospatial and dynamic factor as essential dimensions of epidemiologic research and scaled down the spatial resolution of socioeconomic data collection from country level to state level of the USA with a standard data format and high quality.

State-Level Cyberbullying Policy

2016 ◽  
pp. 59-79
Author(s):  
Ramona Sue McNeal ◽  
Susan M. Kunkle ◽  
Lisa Dotterweich Bryan
Keyword(s):  
United States ◽  
Information Technology ◽  
State Level ◽  
The United States ◽  
Government Policies ◽  
Policy Adoption ◽  
Legislative Action ◽  
Bullying Laws ◽  
The Impact ◽  
Cyberbullying Policy

Cyberbullying is the use of information technology to deliberately hurt, taunt, threaten or intimidate someone. Currently, there are no federal statutes in the United States which directly address this problem. The response of the states has varied from attempting to use existing anti-bullying laws to limit cyberbullying to passing new laws that specifically target cyberbullying behavior. An important question is, “why are some states taking a lead in combating this cybercrime through new laws while others are relying on existing laws?” The literature on policy adoption suggests politics, resources and public need are important factors in predicting why certain states are more likely to enact government policies. This chapter analyzes the impact of these factors and others on policy adoption by exploring the level of legislative action to update existing cyberbullying laws for 2009 through 2014.

COVID-19 and the Costs of Deadly Disasters

2021 ◽  
Vol 111 ◽  
pp. 366-370
Author(s):  
Sydney C. Ludvigson ◽  
Sai Ma ◽  
Serena Ng
Keyword(s):  
United States ◽  
Time Series ◽  
Labor Market ◽  
Natural Disasters ◽  
Industrial Production ◽  
The United States ◽  
Time Series Models ◽  
Monthly Data ◽  
The Impact

Using monthly data on costly natural disasters affecting the United States over the last 40 years, we estimate 2 time series models and use them to generate predictions about the impact of COVID-19. We find that while our models yield reasonable estimates of the impact on industrial production and the number of scheduled flight departures, they underestimate the unprecedented changes in the labor market.

scholarly journals The Impact of Uncertainty on State-Level Housing Markets of the United States: The Role of Social Cohesion

2021 ◽  
Vol 13 (6) ◽  
pp. 3065
Author(s):  
Linyan Dai ◽  
Xin Sheng
Keyword(s):  
United States ◽  
Social Cohesion ◽  
Housing Markets ◽  
State Level ◽  
The United States ◽  
Negative Effects ◽  
Housing Returns ◽  
The Impact

While considering the role of social cohesion, we analyse the impact of uncertainty on housing markets across the 50 states of the United States, plus the District of Columbia, using the local projection method for panel data. We find that both short-term and long-term measurements of macroeconomic and financial uncertainties reduce real housing returns, with the strongest effect originated from the macro-economic uncertainty over the long term. Moreover, the degree of social cohesion does not change the nature of the impact of uncertainty on real housing returns dramatically, but the size of the negative effects is relatively large for states with low social cohesion.

scholarly journals Contribution of historical precipitation change to US flood damages

2021 ◽  
Vol 118 (4) ◽  
pp. e2017524118
Author(s):  
Frances V. Davenport ◽  
Marshall Burke ◽  
Noah S. Diffenbaugh
Keyword(s):  
United States ◽  
Global Warming ◽  
Climate Models ◽  
State Level ◽  
The United States ◽  
Precipitation Change ◽  
Cumulative Impact ◽  
Flood Damages ◽  
Precipitation Changes ◽  
The Impact

Precipitation extremes have increased across many regions of the United States, with further increases anticipated in response to additional global warming. Quantifying the impact of these precipitation changes on flood damages is necessary to estimate the costs of climate change. However, there is little empirical evidence linking changes in precipitation to the historically observed increase in flood losses. We use >6,600 reports of state-level flood damage to quantify the historical relationship between precipitation and flood damages in the United States. Our results show a significant, positive effect of both monthly and 5-d state-level precipitation on state-level flood damages. In addition, we find that historical precipitation changes have contributed approximately one-third of cumulative flood damages over 1988 to 2017 (primary estimate 36%; 95% CI 20 to 46%), with the cumulative impact of precipitation change totaling $73 billion (95% CI 39 to $91 billion). Further, climate models show that anthropogenic climate forcing has increased the probability of exceeding precipitation thresholds at the extremely wet quantiles that are responsible for most flood damages. Climate models project continued intensification of wet conditions over the next three decades, although a trajectory consistent with UN Paris Agreement goals significantly curbs that intensification. Taken together, our results quantify the contribution of precipitation trends to recent increases in flood damages, advance estimates of the costs associated with historical greenhouse gas emissions, and provide further evidence that lower levels of future warming are very likely to reduce financial losses relative to the current global warming trajectory.

Sign in / Sign up

Export Citation Format

Share Document