Alcohol Consumption in the United States: Past, Present, and Future Trends

2018 ◽  
Vol 13 (2) ◽  
pp. 121-143 ◽  
Author(s):  
James Fogarty ◽  
Derby Voon
Keyword(s):  
United States ◽  
Alcohol Consumption ◽  
State Level ◽  
The United States ◽  
Alcohol Policy ◽  
Consumption Patterns ◽  
Estimation Methods ◽  
Tax Rate ◽  
Long Run ◽  
The Impact

AbstractThis research examines long-run changes in alcohol consumption patterns for the United States, at the state level, and presents forecasts for per capita consumption of beer, wine, and spirits developed using the ARIMA methodology. The evidence is then presented on the extent of convergence in consumption through time. This evidence shows that from the 1970s through the early 2000s, a pattern of convergence in both the level of consumption and the consumption mix was evident, but since the early 2000s, and unlike the pattern observed globally, there has been a reversal of this trend. The changes in consumption through time are illustrated via ternary plots. Bayesian estimation methods are used to formally describe changes in historical consumption patterns and to investigate the impact of policy settings on consumption forecasts. There were no systematic correlations found between alcohol policy settings and forecast future consumption changes, or tax rate levels and forecast consumption changes. (JEL Classifications: D12, I18, L66)

The Impact of Monetary and Fiscal Policies on the Stock Market in the United States (U.S); Evidence from Linear ARDL Framework

2020 ◽  
Vol 11 (1) ◽  
pp. 132-132
Author(s):  
Aref Emamian
Keyword(s):  
United States ◽  
Stock Market ◽  
The United States ◽  
Real Effective Exchange Rate ◽  
Annual Data ◽  
Fiscal Policies ◽  
Long Run ◽  
The Us ◽  
Short Run ◽  
The Impact

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States

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 Alcohol policies and impaired driving in the United States: Effects of driving- vs. drinking-oriented policies

2015 ◽  
Vol 4 (2) ◽  
pp. 119-130
Author(s):  
Ziming Xuan ◽  
Jason G. Blanchette ◽  
Toben F. Nelson ◽  
Timothy C. Heeren ◽  
Thien H. Nguyen ◽  
...  
Keyword(s):  
United States ◽  
State Level ◽  
The United States ◽  
Alcohol Policy ◽  
Lower State ◽  
Higher Alcohol ◽  
Impaired Driving ◽  
Alcohol Policies ◽  
Scale Scores ◽  
Alcohol Impaired Driving

Xuan, Z., Blanchette, J., Nelson, T., Heeren, T., Nguyen, T., & Naimi, T. (2015). Alcohol policies and impaired driving in the United States: Effects of driving- vs. drinking-oriented policies. The International Journal Of Alcohol And Drug Research, 4(2), 119-130. doi:http://dx.doi.org/10.7895/ijadr.v4i2.205Aims: To test the hypotheses that stronger policy environments are associated with less impaired driving and that driving-orientedand drinking-oriented policy subgroups are independently associated with impaired driving.Design: State-level data on 29 policies in 50 states from 2001-2009 were used as lagged exposures in generalized linearregression models to predict self-reported impaired driving.Setting: Fifty United States and Washington, D.C.Participants: A total of 1,292,245 adults (≥ 18 years old) biennially from 2002–2010.Measures: Alcohol Policy Scale scores representing the alcohol policy environment were created by summing policies weightedby their efficacy and degree of implementation by state-year. Past-30-day alcohol-impaired driving from 2002–2010 wasobtained from the Behavioral Risk Factor Surveillance System surveys.Findings: Higher Alcohol Policy Scale scores are strongly associated with lower state-level prevalence and individual-level risk of impaired driving. After accounting for driving-oriented policies, drinking-oriented policies had a robust independent association with reduced likelihood of impaired driving. Reduced binge drinking mediates the relationship between drinking-oriented policies and impaired driving, and driving-oriented policies reduce the likelihood of impaired driving among binge drinkers.Conclusions: Efforts to reduce alcohol-impaired driving should focus on reducing excessive drinking in addition to preventing driving among those who are impaired.

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.

Tax reform initiated by D. Trump: Economic and social aspects

2021 ◽  
Vol 27 (3) ◽  
pp. 693-720
Author(s):  
Elena Yu. MAKUSHINA ◽  
Dar'ya M. KARMANOVA ◽  
Aleksei S. KUCHER
Keyword(s):  
United States ◽  
Policy Development ◽  
Tax Reform ◽  
The United States ◽  
Subsequent Increase ◽  
Tax Revenues ◽  
Long Run ◽  
Macroeconomic Indicators ◽  
The Impact ◽  
The U.S

Subject. The article addresses the tax reform of 2017, initiated by D. Trump. Objectives. The aim is to determine the relationship between the total volume of tax revenues to the budget of the U.S. Government and the growth of U.S. GDP in the long run. Methods. To identify the impact of the tax reform on the investment climate in the country and the subsequent GDP growth, we formulate a hypothesis and propose a regression model. The quarterly data from 04.01.1960 to 07.01.2019 serve as a statistical sampling, published by financial departments of the U.S. Office of Management and Budget and the U.S. Bureau of Economic Analysis. The study rests on the econometric analysis enabling to identify the impact of the volume of tax revenues from the corporate income tax and individual income taxes on the level of the GDP of the United States. Results. In the short term, we observe a decrease in tax revenues and a subsequent increase in the budget deficit, in the long term – an increase in business activity of the country, a growth in foreign direct investment, and, consequently, an increase in the GDP. The paper offers a model for assessing the economic growth of the GDP of the United States, in which tax predictors were used in combination with macroeconomic indicators. Conclusions. The experience of the United States and the results of this study may be used by the governments of developing countries and experts in the field of taxation for tax policy development.

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 A macro analysis of the united states recoverywith a particular focus on public debt

2012 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Dr.Sc. Selman Selmanaj ◽  
Donika Limani ◽  
Pëllumb Reshidi
Keyword(s):  
United States ◽  
Public Debt ◽  
Aggregate Demand ◽  
The United States ◽  
Consumption Patterns ◽  
Debt Accumulation ◽  
The Third ◽  
Long Run ◽  
The Us ◽  
American Economy

The intention of this paper is to analyze the lingering effects of the 2008 crisis in the United States and the implication they have on the policies undertaken by the Obama administration. A particular focus is given to the debt accumulation and how that relates to the challenges of the long run development of the American economy. The first part of this paper will give a brief overview of some of the elements central to the causes of the crisis, namely the centralization of wealth and its implication for the unsustainable consumption patterns. It will then follow to consider how the previous issues relate to the weak aggregate demand and the expansionary policies used to tackle it. Additionally, an overview of the crisis effect on the already troubled labor market is laid out in the third part. After exploring the interventionist policies used by the US administration in the after-crisis period, we move on to the presing issue of debt and possible scenarios that may arise in case it is not seriously addressed.

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.

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