Gendered Funding: United Way Board Composition and the Funding of Women- and Girl-Serving Organizations

2021 ◽  
pp. 089976402110574
Author(s):  
Lauren Dula
Keyword(s):  
Time Series Data ◽  
Critical Mass ◽  
Interrupted Time Series ◽  
The United States ◽  
Women In Leadership ◽  
Representative Bureaucracy ◽  
Series Data ◽  
Leadership Positions ◽  
United Way ◽  
Bureaucracy Theory

Representative bureaucracy theory posits that the passive representation of women in leadership positions will lead to active representation of the concerns of women in general. This article attempts to identify whether this theory plays out on boards of nonprofit funding organizations, specifically United Ways across the United States. Using random effects modeling of interrupted time series data covering 15 years, the findings suggest a small yet significant nonlinear effect of women in leadership positions on boards upon the size of funding for women- and girl-serving organizations. This partially supports representative bureaucracy theory, but raises questions as to why there is a negative representational effect past a certain “critical mass” of women.

Abstract 19225: Impact of Change in Resuscitation Guidelines on National Out-of-hospital Cardiac Arrest Outcomes: Fulfilled Expectations?

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Shaker M Eid ◽  
Aiham Albaeni ◽  
Rebeca Rios ◽  
May Baydoun ◽  
Bolanle Akinyele ◽  
...  
Keyword(s):  
Time Series ◽  
Cardiac Arrest ◽  
Time Series Data ◽  
Statistical Significance ◽  
Interrupted Time Series ◽  
The United States ◽  
Series Data ◽  
National Database ◽  
Resuscitation Guidelines ◽  
Hospital Cardiac Arrest

Background: The intent of the 5-yearly Resuscitation Guidelines is to improve outcomes. Previous studies have yielded conflicting reports of a beneficial impact of the 2005 guidelines on out-of-hospital cardiac arrest (OHCA) survival. Using a national database, we examined survival before and after the introduction of both the 2005 and 2010 guidelines. Methods: We used the 2000 through 2012 National Inpatient Sample database to select patients ≥18 years admitted to hospitals in the United States with non-traumatic OHCA (ICD-9 CM codes 427.5 & 427.41). A quasi-experimental (interrupted time series) design was used to compare monthly survival trends. Outcomes for OHCA were compared pre- and post- 2005 and 2010 resuscitation guidelines release as follows: 01/2000-09/2005 vs. 10/2005-9/2010 and 10/2005-9/2010 vs. 10/2010-12/2012. Segmented regression analyses of interrupted time series data were performed to examine changes in survival to hospital discharge. Results: For the pre- and post- guidelines periods, 81600, 69139 and 36556 patients respectively survived to hospital admission following OHCA. Subsequent to the release of the 2005 guidelines, there was a statistically significant worsening in survival trends (β= -0.089, 95% CI -0.163 – -0.016, p =0.018) until the release of the 2010 guidelines when a sharp increase in survival was noted which persisted for the period of study (β= 0.054, 95% CI -0.143 – 0.251, p =0.588) but did not achieve statistical significance (Figure). Conclusion: National clinical guidelines developed to impact outcomes must include mechanisms to assess whether benefit actually occurs. The worsening in OHCA survival following the 2005 guidelines is thought provoking but the improvement following the release of the 2010 guidelines is reassuring and worthy of perpetuation.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

scholarly journals Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States

2021 ◽  
Vol 18 (9) ◽  
pp. 4560
Author(s):  
Mostafa Abbas ◽  
Thomas B. Morland ◽  
Eric S. Hall ◽  
Yasser EL-Manzalawy
Keyword(s):  
Functional Data ◽  
Time Series Data ◽  
Principal Component ◽  
State Level ◽  
The United States ◽  
Functional Principal Component Analysis ◽  
Series Data ◽  
Dynamic Correlation ◽  
The Us ◽  
Google Search

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity and mortality in the US and their associations with Google search trends for COVID-19-related symptoms. Specifically, we represent state-level time series data for COVID-19 and Google search trends for symptoms as smoothed functional curves. Given these functional data, we explore the modes of variation in the data using functional principal component analysis (FPCA). We also apply functional clustering analysis to identify patterns of COVID-19 confirmed case and death trajectories across the US. Moreover, we quantify the associations between Google COVID-19 search trends for symptoms and COVID-19 confirmed case and death trajectories using dynamic correlation. Finally, we examine the dynamics of correlations for the top nine Google search trends of symptoms commonly associated with COVID-19 confirmed case and death trajectories. Our results reveal and characterize distinct patterns for COVID-19 spread and mortality across the US. The dynamics of these correlations suggest the feasibility of using Google queries to forecast COVID-19 cases and mortality for up to three weeks in advance. Our results and analysis framework set the stage for the development of predictive models for forecasting COVID-19 confirmed cases and deaths using historical data and Google search trends for nine symptoms associated with both outcomes.

scholarly journals The 2010 Structural-Demographic Forecast for the 2010–2020 Decade: A Retrospective Assessment

2020 ◽  
Author(s):  
Peter Turchin ◽  
Andrey Korotayev
Keyword(s):  
Western Europe ◽  
Time Series Data ◽  
Political Instability ◽  
The United States ◽  
Stress Index ◽  
Series Data ◽  
Strongly Correlated ◽  
Retrospective Assessment ◽  
The United Kingdom ◽  
The Usa

This article revisits the prediction, made in 2010, that the 2010–2020 decade would likely be a period of growing instability in the United States and Western Europe (Turchin 2010). This prediction was based on a computational model that quantified in the USA such structural-demographic forces for instability as popular immiseration, intraelite competition, and state weakness prior to 2010. Using these trends as inputs, the model calculated and projected forward in time the Political Stress Index, which in the past was strongly correlated with socio-political instability. Ortmans et al. (2017) conducted a similar structural-demographic study for the United Kingdom and obtained similar results. Here we use the Cross-National Time-Series Data Archive for the US, UK, and Western European countries to assess these structural-demographic predictions. We find that such measures of socio-political instability as anti-government demonstrations and riots increased dramatically during the 2010–2020 decade in all of these countries.

Mentoring, Sponsorship, and Gender

2020 ◽  
pp. 198-207
Author(s):  
Karen P. Burke ◽  
Lori E. Ciccomascolo
Keyword(s):  
United States ◽  
The United States ◽  
Women In Leadership ◽  
Professional Lives ◽  
Leadership Roles ◽  
Leadership Positions ◽  
College And University ◽  
Education Careers ◽  
The Status ◽  
And Gender

The lack of women in leadership roles is a systemic problem in the United States and is not unique to the field of education; however, it is important to continue to challenge the status quo and provide a path for women to achieve equality and equity in the workplace. The following chapter will identify and discuss the importance of mentoring and sponsorship so that women pursuing education careers, novice women teachers, and women college, and university faculty and staff can actively and better position themselves to move into leadership positions and/or ensure a “seat at the table” in situations where decisions are made that affect their personal and professional lives.

scholarly journals Exchange Rate Dynamics and the Bilateral Trade Balance: The Case of U.S. Agriculture

2009 ◽  
Vol 38 (2) ◽  
pp. 213-228 ◽  
Author(s):  
Jungho Baek ◽  
Won W. Koo ◽  
Kranti Mulik
Keyword(s):  
United States ◽  
Exchange Rate ◽  
Bilateral Trade ◽  
Time Series Data ◽  
The United States ◽  
Agricultural Trade ◽  
Agricultural Products ◽  
Series Data ◽  
J Curve ◽  
Trading Partners

This study examines the dynamic effects of changes in exchange rates on bilateral trade of agricultural products between the United States and its 15 major trading partners. Special attention is paid to investigate whether or not the J-curve hypothesis holds for U.S. agricultural trade. For this purpose, an autoregressive distributed lag (ARDL) approach to cointegration is applied to quarterly time-series data from 1989 and 2007. Results show that the exchange rate plays a crucial role in determining the short- and long-run behavior of U.S. agricultural trade. However, we find little evidence of the J-curve phenomenon for U.S. agricultural products with the United States’ major trading partners.

The impact of Benin’s first public procurement code and its amendment on healthcare equipment acquisition prices

2018 ◽  
Vol 18 (4) ◽  
pp. 306-322 ◽  
Author(s):  
Pamphile Thierry Houngbo ◽  
Maikel Kishna ◽  
Marjolein Zweekhorst ◽  
Daton Medenou ◽  
Joske G.F. Bunder-Aelen
Keyword(s):  
Health Care ◽  
Time Series Data ◽  
Good Governance ◽  
Public Procurement ◽  
Linear Regression Analysis ◽  
Interrupted Time Series ◽  
Series Data ◽  
Content Type ◽  
The Impact ◽  
Health Care Equipment

PurposeTo satisfy donors and reduce public procurement acquisition prices, Benin has implemented and amended its first public procurement code guided by top-down principles of good governance.Design/methodology/approachThis study aims to measure the impact of the code and its amendment on public procurement acquisition prices of health-care equipment from 1995 to 2010.FindingsA segmented linear regression analysis was performed using interrupted time-series data. The analysis shows that the code and its amendment did not reduce acquisition prices, indicating the limited impact of the code. The authors recommend the implementation of bottom-up processes in establishing the public procurement system, and the development of a reference pricelist of the most widely used health-care equipment, as possible solutions for improving the effectiveness of the code.

scholarly journals Revisiting the Relationship between Economic Growth and Government Size

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Atrayee Ghosh Roy
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Government Expenditure ◽  
Private Investment ◽  
The United States ◽  
Simultaneous Equation ◽  
Series Data ◽  
Government Size ◽  
Government Investment ◽  
Government Consumption

The purpose of this paper is to explore the association between government size and economic growth in the United States using time-series data over the period 1950–2007. In particular, this paper examines the effects of two key components of government expenditure, namely, government consumption and government investment, on US economic growth. A simultaneous-equation model is used to deal with the problem of bi-directional relationship between government size and economic growth. The results suggest that an increase in government consumption slows economic growth, while a rise in government investment enhances economic growth. Furthermore, the results also show that government investment crowds out private investment. Therefore, the overall effect of total government expenditure on economic growth is ambiguous.

Regional and Industrial Wage Dynamics in West Germany and the United States / Regionale und industrielle Lohndynamik in Westdeutschland und den USA

2002 ◽  
Vol 222 (5) ◽  
Author(s):  
Antje Mertens
Keyword(s):  
United States ◽  
Time Series Data ◽  
The United States ◽  
Labour Markets ◽  
West Germany ◽  
Series Data ◽  
Labour Demand ◽  
Wage Dynamics ◽  
Demand Shocks ◽  
Individual Level

SummaryIt is commonly known that every economy is faced with the problem of unevenly distributed labour demand changes across industries, occupations and regions. In competitive labour markets flexible wages and the mobility of labour would lead to a new equilibrium distribution of wages and employment. Regional or industrial unemployment dispersion in Germany is often blamed on a lack of wage adjustments and the lack of labour mobility when economic fortunes are not distributed evenly, but this hypothesis is hardly ever tested. This paper asks how wage reactions in Germany compare with responses in the United States using individual level data. As a first step labour demand shocks are estimated from employment time series data using deterministic detrending and the Hodrick-Prescott filter. These are then included in typical wage regressions based on micro data. The results propose that German labour markets are not as inflexible as simple evidence might suggest. Although wages are regionally only flexible in the United States, wages are found to react to industrial labour demand shocks in both countries. Especially for more experienced and therefore less mobile groups in the German labour market wages react to industrial labour demand shocks.

scholarly journals The Effect of COVID-19 on Domestic Violence and Assaults

2021 ◽  
pp. 073401682110611
Author(s):  
Mustafa Demir ◽  
Suyeon Park
Keyword(s):  
Domestic Violence ◽  
Time Series ◽  
Time Series Data ◽  
Police Department ◽  
Interrupted Time Series ◽  
Series Data ◽  
Data Set ◽  
Calls For Service ◽  
Time Series Analyses ◽  
Significant Change

The purpose of this research was to examine the effect of COVID-19 on four outcomes including calls for service for domestic violence, calls for service for assaults, arrests for domestic violence, and arrests for assaults in Burlington, Vermont. The data for each outcome collected over the time periods January 2012 through May 2021 were obtained from the Burlington Police Department website and then a monthly time-series data set were created. The analyses including an independent samples t-test, a Poisson regression test, and a monthly interrupted time-series analyses (ITSA) were employed to test the effects of COVID-19 on the previously mentioned outcomes. The results of the ITSA showed that in the first month following the onset of the COVID-19 pandemic, domestic violence calls statistically significantly increased, but no statistically significant change was observed in domestic violence arrests, while assault calls and assault arrests statistically significantly decreased. In addition, during COVID-19, there was a statistically significant decreasing trend in domestic violence calls and domestic violence arrests, while there was no statistically significant change in the trends of assault calls and assault arrests. The results suggest that COVID-19 had an immediate as well as a persistent effect on the numbers of domestic violence and assaults. The results and limitations of this study were also discussed.

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