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This paper estimates flexible demand systems for heterogeneous households in the United States and links the estimated parameters with an economy-wide model to assess their relative contributions to the social cost of regulation. We estimate elasticities for several final demand categories as well as labor-leisure elasticities that are important for calibrating the labor-leisure choice in the economy-wide model and find that estimated elasticities are relatively similar across regions but vary meaningfully by income. Using the estimated elasticities, we explore the implications of both the functional form and its parameterization in a simplified computable general equilibrium model for the social and distributional costs of illustrative policy scenarios. Model variants with less flexible consumer demand systems overestimate social costs across our entire range of scenarios. Furthermore, we find that parameterizing the model with elasticities that vary with household income is important for adequately characterizing the distributional implications of a policy. [ABSTRACT FROM AUTHOR]

Using quarterly temperature and employment data between 1990 and 2021, this paper uncovers nuanced evidence on the impact of seasonal temperature within US counties: higher winter temperature increases private sector employment growth while higher summer temperature decreases it. The impacts of higher temperature in milder seasons, fall and spring, are statistically insignificant. Moreover, the negative impact of higher summer temperature persists while the positive impact of higher temperature in the winter is more short-lived. The negative effects of a hotter summer are pervasive and persistent in many sectors: most significantly in "Construction" and "Leisure and Hospitality" but also in "Trade, Transport, and Utilities" and "Financial Activities". In contrast, the positive effects of a warmer winter are less pervasive. The employment effect of a hotter summer has been more severe in recent decades. [ABSTRACT FROM AUTHOR]

Firearms are now the number one killer of children and adolescents in the United States. Firearm homicides among Black male youth are the driver of this increase. Prevention requires a multi-faceted life course approach. Academic achievement has been identified as a protective factor. Early childhood education, which is linked to later achievement, is thus an intervention area of interest. Conceptualizing the potential links between early childhood education and reduced risk for youth firearm homicide is important for guiding policy advocacy and informing future research. This paper presents a conceptual model linking early childhood education to reduced risk for firearm homicide. Each link in the model is discussed, and a corresponding review of the literature is presented. The need for anti-racist policies to strengthen the impact of early childhood education is highlighted. Early education and firearm homicide research are each well-established but largely disconnected. There are clear immediate benefits of early childhood education; however, these effects wane with time, particularly for youth of color. At the same time, juvenile delinquency—a major risk factor for firearm homicide—is influenced by educational inequities. Effective interventions to reduce firearm homicides among Black male youth in the United States are needed. Early childhood education shows promise as an intervention. However, to have an impact, this education needs to be accessible and affordable for all, particularly families of color and low income. Societal structures and policies must also better support the positive gains seen through early childhood education to avoid dissipation. • Firearms are the number one killer of children and adolescents in the United States. • Racial inequities are present with Black male youth disproportionately affected. • Effective interventions are crucial, with early childhood education programs showing promise. • Access to high-quality early childhood education is imperative for impact. • Family supportive policies may enhance outcomes, especially for families of color. [ABSTRACT FROM AUTHOR]

Hydraulic fracturing is an increasingly common method of oil and gas extraction across the United States. Many of the chemicals used in hydraulic fracturing processes have been proven detrimental to human and environmental health. While disclosure frameworks have advanced significantly in the last 20 years, the practice of withholding chemical identities as "trade secrets" or "proprietary claims" continues to represent a major absence in the data available on hydraulic fracturing. Here, we analyze rates of trade secret claims using FracFocus, a nationwide database of hydraulic fracturing data, from January 1, 2014 to December 31, 2022. We use the open-source tool Open-FF, which collates FracFocus data, makes it accessible for systematic analysis, and performs several quality-control measures. We found that the use by mass of chemicals designated as trade secrets has increased over the study time period, from 728 million pounds in 2014 to 2.96 billion pounds in 2022 (or a 43.7% average yearly increase). A total of 10.4 billion pounds of chemicals were withheld as trade secrets in this time period. The water volume used (and therefore total mass of fracturing fluid) per fracturing job has shown a large increase from 2014 to 2022, which partly explains the increase in mass of chemicals withheld as trade secrets over this time period, even as total fracturing jobs and individual counts of proprietary records have decreased. Our analysis also shows increasing rates of claiming proppants (which can include small grains of sand, ceramic, or other mineral substances used to prop open fractures) as proprietary. However, the mean and median masses of non-proppant constituents designated as trade secrets have also increased over the study period. We also find that the total proportion of all disclosures including proprietary designations has increased by 1.1% per year, from 79.3% in 2014 to 87.5% in 2022. In addition, most disclosures designate more than one chemical record as proprietary: trade secret withholding is most likely to apply to 10–25% of all records in an individual disclosure. We also show the top ten reported purposes that most commonly include proprietary designations, after removing vague or multiple entries, the first three of which are corrosion inhibitors, friction reducers, and surfactants. Finally, we report the top ten operators and suppliers using and supplying proprietary chemicals, ranked by mass used or supplied, over our study period. These results suggest the importance of revisiting the role of proprietary designations within state and federal disclosure mechanisms. • Proprietary claims allow chemical identities used in hydraulic fracturing to be withheld as trade secrets. • Proprietary claims have increased from 2014 to 2022 in mass, frequency, and proportion. • a total of 10.4 billion pounds of chemicals were withheld as trade secrets from 2014 to 2022. • These results suggest the importance of revisiting the role of proprietary claims within disclosure mechanisms. This paper investigates rates of trade secrets, or chemical records designated as proprietary, in hydraulic fracturing chemical disclosure data. This research is necessary to close information gaps in environmental health and toxicological research on hydraulic fracturing. [ABSTRACT FROM AUTHOR]

This paper aims to investigate the responsiveness of renewable energy production (REP) to fluctuations in geopolitical risks, oil prices and economic policy uncertainty (EPU). It applies a cross-quantilogram framework to examine monthly data of the US economy for the period of 1986–2022. The findings illustrate the asymmetric effect of historical geopolitical risk (GPRH) on REP under long memory. The findings also hold after different subcategories of GPRH, including geopolitical threats and geopolitical acts, are considered. A positive shock in GPRH has the most decisive positive impact on REP when the policies are driven by both energy security and environmental commitments. A positive shock in GPRH can negatively impact REP when policies are driven by energy security causes only. EPU exerts strong negative effects on REP in bearish and bullish states of the market under medium and long memory across different measures of EPU. Dynamic connectedness analysis applying TVP-VAR method between pairwise variables indicates that net REP is a volatility receiver to the changes in GPRH, its subcomponents, oil prices and different measures of EPU. [Display omitted] • Application of cross-quantilogram approach to US monthly data during 1986–2022. • Responsiveness of renewable energy production to historical geopolitical risk. • A positive shock in GPRH has asymmetric effects on REP in long memory. • This nexus is sensitive to the motivation of energy policies in US. [ABSTRACT FROM AUTHOR]

Opioid Use Disorder (OUD) is a chronic and relapsing condition characterized by the misuse of opioid drugs, causing significant morbidity and mortality in the United States. Existing medications for OUD are limited, and there is an immediate need to discover treatments with enhanced safety and efficacy. Drug repurposing aims to find new indications for existing medications, offering a time-saving and cost-efficient alternative strategy to traditional drug discovery. Computational approaches have been developed to further facilitate the drug repurposing process. In this paper, we reviewed state-of-the-art data-driven computational drug repurposing approaches for OUD and discussed their advantages and potential challenges. We also highlighted promising repurposed candidate drugs for OUD that were identified by computational drug repurposing techniques and reviewed studies supporting their potential mechanisms of action in treating OUD. [Display omitted] [ABSTRACT FROM AUTHOR]