scholarly journals The Influence of Kin Proximity on the Reproductive Success of American Couples, 1900–1910

Demography ◽  
2021 ◽  
Author(s):  
J. David Hacker ◽  
Jonas Helgertz ◽  
Matt A. Nelson ◽  
Evan Roberts
Keyword(s):  
United States ◽  
Social Network ◽  
Panel Data ◽  
Reproductive Success ◽  
Child Survival ◽  
Fertility Transition ◽  
The United States ◽  
Data Set ◽  
Net Reproduction ◽  
The Impact

Abstract Children require a large amount of time, effort, and resources to raise. Physical help, financial contributions, medical care, and other types of assistance from kin and social network members allow couples to space births closer together while maintaining or increasing child survival. We examine the impact of kin availability on couples' reproductive success in the early twentieth-century United States with a panel data set of over 3.1 million couples linked between the 1900 and 1910 U.S. censuses. Our results indicate that kin proximity outside the household was positively associated with fertility, child survival, and net reproduction, and suggest that declining kin availability was an important contributing factor to the fertility transition in the United States. We also find important differences between maternal and paternal kin inside the household—including higher fertility among women residing with their mother-in-law than among those residing with their mother—that support hypotheses related to the contrasting motivations and concerns of parents and parents-in-law.

scholarly journals Econometric Analysis Suggests Possible Crowding Out of Public Libraries by Book Superstores among Middle Income Families in the 1990s

2007 ◽  
Vol 2 (3) ◽  
pp. 94
Author(s):  
Stephanie Hall
Keyword(s):  
United States ◽  
Public Library ◽  
The United States ◽  
Econometric Analysis ◽  
Consumer Information ◽  
County Level ◽  
Data Set ◽  
Middle Income ◽  
Library Use ◽  
The Impact

Objective – To determine the effect of large bookstores (defined as those having 20 or more employees) on household library use. Design – Econometric analysis using cross-sectional data sets. Setting – The United States of America. Subjects – People in over 55,000 households across the U.S.A. Methods – Data from 3 1996 studies were examined using logit and multinomial logit estimation procedures: the National Center for Education Statistics’ National Household Education Survey (NHES) and Public Library Survey (PLS), and the U.S. Census Bureau’s County Business Patterns (CBP). The county level results of the NHES telephone survey were merged with the county level data from the PLS and the CBP. Additionally, data on Internet use at the state level from the Statistical Abstract of the United States were incorporated into the data set. A logit regression model was used to estimate probability of library use based on several independent variables, evaluated at the mean. Main results – In general, Hemmeter found that "with regard to the impact of large bookstores on household library use, large bookstores do not appear to have an effect on overall library use among the general population” (613). While no significant changes in general library use were found among high and low income households where more large bookstores were present, nor in the population taken as a whole, middle income households (between $25,000 and $50,000 in annual income) showed notable declines in library use in these situations. These effects were strongest in the areas of borrowing (200% less likely) and recreational purposes (161%), but were also present in work-related use and job searching. Hemmeter also writes that “poorer households use the library more often for job search purposes. The probability of library use for recreation, work, and consumer information increases as income increases. This effect diminishes as households get richer” (611). Finally, home ownership was also correlated with higher library use. Households with children were more than 20% more likely to use the library (610). Their use of the library for school-related purposes, general borrowing, program activities, and so on was not affected by the presence of book superstores. White families with children were somewhat less likely to use the library, while families with higher earning and education levels were more likely to use the library. Library use also increased with the number of children in the family. Shorter distances to the nearest branch and a higher proportion of AV materials were also predictive of higher library use. Educational level was another important factor, with those having less than high school completion being significantly less likely to use the library than those with higher levels of educational attainment. Conclusions – The notable decline in public library use among middle income households where more large bookstores are present is seen as an important threat to libraries, as it may result in a decline in general support and support for funding among an important voting block. More current data are needed in this area. In addition to the type of information examined in this study, the author recommends the inclusion of information on funding, support for library referenda, and library quality as they relate to the presence of large bookstores.

scholarly journals US Egg Production Data Set

2019 ◽  
Author(s):  
Samara Mendez
Keyword(s):  
United States ◽  
Egg Production ◽  
Laying Hens ◽  
The United States ◽  
Egg Laying ◽  
United States Department ◽  
Flock Size ◽  
Advocacy Organizations ◽  
Data Set ◽  
The Impact

Tracking the capability of the egg production industry to supply the food industry with enough cage-free eggs to meet retailers' and restaurants' animal welfare commitments is important to industry groups and farm animal advocacy organizations alike. In this project, we synthesize an analysis-ready data set that tracks cage-free hens and the supply of cage-free eggs relative to the overall numbers of hens and table eggs in the United States. The data set is based on reports produced by the United States Department of Agriculture (USDA), which are published weekly or monthly. The data will be updated periodically as new USDA reports are released. We supplement these data with definitions and a taxonomy of egg products drawn from USDA and industry publications. The data include flock size (both absolute and relative) and egg production of cage-free hens as well as all table-egg-laying hens in the US, collected to understand the impact of the industry's cage-free transition on hens. Data coverage ranges from December 2007 to present. Initial analysis of cage-free trends shows that, as of the most recent version of this report, 26% of all table-egg-laying hens lived in cage-free systems. This figure represents an increase of 23 percentage points over the entire sample period of December 2007 to April 2020.Revised: May 29, 2020

scholarly journals Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set

ILR Review ◽  
2019 ◽  
Vol 72 (5) ◽  
pp. 1262-1277 ◽  
Author(s):  
Robert W. Fairlie ◽  
Javier Miranda ◽  
Nikolas Zolas
Keyword(s):  
United States ◽  
Panel Data ◽  
The United States ◽  
Future Research ◽  
Data Set ◽  
Growth And Survival ◽  
Start Up ◽  
The Us ◽  
Start Ups ◽  
The Universe

The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.

How macroeconomic indicators influence gold price management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liya A ◽  
Qian Qin ◽  
Hafiz Waqas Kamran ◽  
Anusara Sawangchai ◽  
Worakamol Wisetsri ◽  
...  
Keyword(s):  
United States ◽  
Secondary Data ◽  
The United States ◽  
Research Paper ◽  
Gold Price ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Macroeconomic Indicators ◽  
The Impact

PurposeThis study purposes to measure the influencing relations between macroeconomic indicators and the prices of gold. Further study measures several factors with the gold price in the context of the United States.Design/methodology/approachThe secondary data are collected to measure relationship and fluctuation of gold prices the data collected from the website world development indicators (WDI) for the period of 31 years 1990–2019. This paper uses different econometric analysis such as analytical unit root test for stationary of data, descriptive statistical analysis for description of data, correlation coefficient test for measuring the inter correlation, and ordinary least square regression analysis for determine the impact of dependent and independents variables. In this research paper, gross domestic product (GDP), inflation rate (IR), unemployment rate (UR), real interest rate (RIR), gross national product (GNP), standard trade value (STV) are included in macroeconomic indicators and consider as independent. The gold prices are considered as dependent variable.FindingsThis study's overall results show an important and optimistic association between GDP, IR and STV with the gold price. Moreover, the RIR shows negative and does not show significant relation with the gold prices.Originality/valueSince several economic crises were included during the data selection studied in this research paper, data error may be present, resulting in the instability of the overall data. However, the study still hopes to find the guiding role of these macro gold price factors in the price of gold from the limited data set. The basic scope of research is that research is limited in the United States.

Talking Politics

2020 ◽  
Author(s):  
Taylor N. Carlson ◽  
Marisa Abrajano ◽  
Lisa García Bedolla
Keyword(s):  
United States ◽  
Qualitative Interviews ◽  
The United States ◽  
Political Discussion ◽  
Data Set ◽  
Policy Attitudes ◽  
The Social ◽  
Knowledge Policy ◽  
And Gender ◽  
The Impact

Individuals arrive at meaning through conversation. Scholars have long explored political conversations in the United States, and the vast majority of this research suggests that political discussion has important effects on political attitudes and engagement. However, much of this research relies on samples of White respondents, making it potentially difficult to generalize these findings to our increasingly diverse electorate. In this book, we seek to understand how political discussion networks vary across groups who have vastly different social positions in the United States, specifically along the lines of ethnorace, nativity, and gender. We build upon seminal work in the field as we argue that individuals with different social positions likely discuss politics with different groups of people and, as a consequence, their discussion networks have different effects on their political behavior. We use a novel discussion network data set with an ethnoracially diverse sample, paired with qualitative interviews, to test this argument. We assert that this book makes three central contributions: (1) expanding the scope of the political discussion network literature by providing a comparative analysis across ethnorace, nativity, and gender; (2) demonstrating how historical differences in partisanship, policy attitudes, and engagement are reflected within groups’ social networks; and (3) revealing how the social position of our respondents affects the impact that networks can have on their trust and efficacy in government, political knowledge, policy attitudes, and political and civic engagement patterns.

The effect of freedom on international tourism demand: Empirical evidence from the top eight most visited countries

2019 ◽  
Vol 26 (8) ◽  
pp. 1358-1373
Author(s):  
Umit Bulut ◽  
Emrah Kocak ◽  
Courtney Suess
Keyword(s):  
Panel Data ◽  
Civil Liberties ◽  
The United States ◽  
Policy Implications ◽  
International Tourism ◽  
Political Rights ◽  
Tourism Demand ◽  
Data Set ◽  
Cointegration Tests ◽  
The Impact

The present study investigates the impact of freedom (i.e. the effects of political rights and civil liberties) on tourist arrivals for the eight countries with the highest tourist arrivals in 2016 (France, the United States, Spain, China, Italy, the United Kingdom, Germany, and Mexico), using annual data from 1998 to 2016, through advanced panel data methods. Notably, the key strengths of this study are as follows: (i) it examines the impact of institutional quality on international tourism demand for the most visited countries and (ii) it employs advanced panel data techniques, which have been suggested in recent years. We first constituted a freedom index using political rights and civil liberties data. Second, we performed cross-sectional dependence (CD) tests to examine whether there existed CD in the panel data set. After detecting the presence of CD, we used panel unit root and cointegration tests, which are robust to CD to avoid problems from spurious regression. Finally, we estimated long-run parameters of the empirical model through a panel data estimator that is capable of presenting efficient and unbiased output in the presence of CD. Our empirical findings show that the level of freedom may play a role in explaining the volume of international tourist arrivals. Theoretical and policy implications are discussed in the study, particularly with respect to the importance of rights and freedom in the context of international inbound tourist arrivals.

Insight Into Health Care Services: A Characterization of Emergency Room Visits and Economic Hazards in the United States

2018 ◽  
Vol 13 (03) ◽  
pp. 470-475
Author(s):  
Hanadi Hamadi ◽  
Emma Apatu ◽  
Osayande Osagiede ◽  
Aaron Spaulding
Keyword(s):  
United States ◽  
Emergency Room ◽  
Emergency Departments ◽  
The United States ◽  
Emergency Room Visits ◽  
Cross Sectional ◽  
Data Set ◽  
Hospital Administrators ◽  
Preparedness Plan ◽  
The Impact

ABSTRACTObjectiveThis study explores the impact of economic hazard areas on hospital-based emergency departments to determine whether economically hazardous environments, characterized by the change of population, income per capita, and unemployment rate, experience a higher number of emergency room visits than areas of lower rated economic hazard risk in the United States.MethodA cross-sectional design was used of a nationally constructed data set of hospital-based emergency departments of over 6,000 hospitals in the United States. We identified our quality outcome measure as the emergency room visits rate within a hospital service area. We created the variable by dividing the number of emergency room visits by the population of the hospital services area in which the emergency room was located.ResultsResults indicate that there is a difference in the incident rate ratio of emergency room visits between environments considered to be experiencing greater amounts of hazard, compared to lower amounts of hazard.ConclusionHospital administrators and health policy-makers need to work in conjunction to focus efforts on public safety as a key objective in the delivery of emergency medical care. One crucial effort that hospital administrators need to focus on is improving emergency room capacity and efficiency as part of the disaster preparedness plan (Disaster Med Public Health Prep. 2019;13:470-475)

scholarly journals Impact of Environmental Disaster Movies on Corporate Environmental and Financial Performance

2021 ◽  
Vol 13 (2) ◽  
pp. 559
Author(s):  
Hyun-Do Kim ◽  
Kwangwoo Park
Keyword(s):  
United States ◽  
Mass Media ◽  
Financial Performance ◽  
Environmental Performance ◽  
The United States ◽  
Environmental Disaster ◽  
Data Set ◽  
Listed Firms ◽  
And Gender ◽  
The Impact

Using a unique United States box office data set, we investigate the impact of environmental sentiment on corporate environmental and financial performance of the United States listed firms. The influence of mass media on public and investor sentiments is well documented in the existing literature. However, little is known about the effect of movies, although they may influence the public more than other mass media because people, regardless of age and gender, enjoy watching movies. Using the event study methodology and multivariable regression analysis, we show that the release of anthropogenic environmental disaster movie(s) creates environmental sentiment and influences corporate behaviors. Specifically, firms significantly increase their environmental performance in the subsequent year of strong environmental sentiment after the release of environmental movies. More importantly, the positive effect of corporate environmental performance on financial performance is stronger when the environmental sentiment is stronger.

scholarly journals Climatic Impacts on Basic Human Needs in the United States of America: A Panel Data Analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 1508
Author(s):  
Farhan Ali ◽  
Shaoan Huang ◽  
Roland Cheo
Keyword(s):  
United States ◽  
Panel Data ◽  
United States Of America ◽  
The United States ◽  
Personal Income ◽  
Human Needs ◽  
Basic Human Needs ◽  
High Precipitation ◽  
The Impact ◽  
Low Precipitation

This study empirically investigates the impact (overall, regional, and seasonal) of weather and climate extremes on basic human needs by employing a new poverty index, i.e., the Human Needs Index (HNI), in the United States of America. Detecting the contemporaneous correlations between errors, we apply second-generation unit root tests on monthly statewide panel data ranging from January 2004 to December 2018. The results obtained through cross-sectional time-series feasible generalized least square (i.e., FGLS) regression suggest that human necessities statistically and significantly correlate with a positive response to the weather extremes (cold, low precipitation) and with extreme events (drought, flood). However, the response is the opposite of that in the case of high precipitation. The seasonal variations in necessities indicate that there is a significant escalation of the needs between July and December (January is taken as the reference month), but, in February, they substantially shrink. Furthermore, the regional implications imply that, with the West of the US taken as the reference region, needs are significantly augmented in the Midwest; conversely, in the east and the south, they are significantly decreased. We also observe that some interaction effects, such as high precipitation and personal income as an interaction term, significantly, but negatively, correlate with HNI, indicating a 0.025% shared effect. Contrary to these findings, high precipitation, coupled with supplements to wages and salaries, shows a positive joint association of 0.274% with HNI. Besides, low precipitation, coupled with the unemployment rate, personal income, and flooding, shows an additional positive and significant mutual effect, while low precipitation has a negative effect on basic human needs when coupled with supplements to wages and salaries. The corresponding estimated interacting coefficients are 3.77, scoring 0.053%, 0.592%, and −0.67%, respectively.

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