scholarly journals Are States Created Equal? Moving to a State With More Expensive Childcare Reduces Mothers' Odds of Employment

Demography ◽  
2021 ◽  
Vol 58 (2) ◽  
pp. 451-470
Author(s):  
Liana Christin Landivar ◽  
Leah Ruppanner ◽  
William J. Scarborough
Keyword(s):  
Maternal Employment ◽  
State Level ◽  
Economic Conditions ◽  
Employment Decisions ◽  
Logistic Regression Models ◽  
Market Effects ◽  
Childless Women ◽  
Combining Data ◽  
Married Mothers ◽  
Labor Force Attachment

Abstract Married mothers who relocate are less likely to be employed after an interstate move than married childless women and nonmobile mothers. Here, we ask whether moving to a state with more expensive childcare is associated with lower odds of maternal employment among mothers who had been employed prior to relocation. We use hierarchical binomial logistic regression models, combining data from the 2015 American Community Survey five-year sample and state-level childcare costs to assess married mothers' employment following an interstate move, controlling for states' economic conditions. We show that employment odds for married mothers were about 42% lower than those for childless married women in the year following a move. Married mothers who moved to more expensive childcare states had odds of employment that were 18% lower than those of married mothers who moved to less expensive childcare states, showing that childcare accessibility shapes mothers' employment decisions even among those with stronger labor force attachment. Moving back to respondents' or their spouses' state of birth and moving to states with more favorable economic conditions improved odds of employment as well. Overall, we show that moving to states with fewer childcare barriers is associated with higher levels of maternal employment, partly mitigating the negative labor market effects of interstate migration.

Understanding Charter School Leaders’ Perceptions of Competition in Arizona

2021 ◽  
pp. 0013161X2110373
Author(s):  
Benjamin Creed ◽  
Huriya Jabbar ◽  
Michael Scott
Keyword(s):  
Logistic Regression ◽  
School Choice ◽  
Charter School ◽  
Fixed Effects ◽  
Regression Models ◽  
School Leaders ◽  
State Level ◽  
Local Market ◽  
School Practices ◽  
Logistic Regression Models

Purpose: School choice policies are expected to generate competition leading to improvement in school practices. However, little is known about how competition operates in public education—particularly in charter schools. This paper examines charter-school leaders’ competitive perception formation and the actions taken in response to competition. Research Methods: Using Arizona charter-school leaders’ responses to an original survey, Arizona Department of Education data, and the Common Core of Data, we examined the factors predicting the labeling of a school as a competitor. We estimated fixed effects logistic regression models which examine factors predicting the labeling of competitor schools and of top competitors. We used logistic regression models to understand charter-school leaders’ responses to competition. Findings: We find charter-school leaders in Arizona perceived at least some competition with other schools, and their perceptions vary by urbanicity. While distance between schools mattered generally for labeling a school as a competitor, distance did not factor into labeling “top competitor” schools. Student outcomes did not predict competition between schools, but student demographics were associated with labeling a school a competitor. Charter-school leaders responded to competition through changes in outreach and advertising rather than curriculum and instruction. Competitive responses were related to the respondent school’s quality and the level of perceived competition. Implications for Research and Practice: We found charter-school leaders perceive competition and respond by changing school practices. Responses typically focus on marketing activities over productive responses. The novel state-level analysis allows us to test the effects of local market conditions typically absent in the literature.

scholarly journals States with fewer criminalizing immigrant policies have smaller health care inequities between citizens and noncitizens

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maria-Elena De Trinidad Young ◽  
Hiram Beltrán-Sánchez ◽  
Steven P. Wallace
Keyword(s):  
Health Care ◽  
Health Care Access ◽  
State Level ◽  
Comparative Approach ◽  
Usual Source Of Care ◽  
Data Set ◽  
Logistic Regression Models ◽  
Usual Source ◽  
Care Access ◽  
Source Of Care

Abstract Background In the last thirty years, major shifts in immigrant policy at national and state levels has heightened boundaries among citizens, permanent residents, and those with other statuses. While there is mounting evidence that citizenship influences immigrant health care inequities, there has been less focus on how policies that reinforce citizenship stratification may shape the extent of these inequities. We examine the extent to which the relationship between citizenship and health care inequities is moderated by state-level criminalization policies. Methods Taking a comparative approach, we assess how distinct criminalization policy contexts across US states are associated with inequitable access to care by citizenship status. Utilizing a data set with state-level measures of criminalization policy and individual-level measures of having a usual source of care from the National Health Interview Survey, we use mixed-effects logistic regression models to assess the extent to which inequities in health care access between noncitizens and US born citizens vary depending on states’ criminalization policies. Results Each additional criminalization policy was associated with a lower odds that noncitizens in the state had a usual source of care, compared to US born citizens. Conclusion Criminalization policies shape the construction of citizenship stratification across geography, such as exacerbating inequities in health care access by citizenship.

scholarly journals Declining regional disparities in mortality in the context of persisting large inequalities in economic conditions: the case of Germany

2020 ◽  
Vol 49 (2) ◽  
pp. 486-496
Author(s):  
Alyson A van Raalte ◽  
Sebastian Klüsener ◽  
Anna Oksuzyan ◽  
Pavel Grigoriev
Keyword(s):  
Life Expectancy ◽  
State Level ◽  
Economic Conditions ◽  
Future Research ◽  
German State ◽  
Federal States ◽  
German Federal States ◽  
Regional Mortality ◽  
East West ◽  
Economic Inequalities

Abstract Background Subnational regional mortality inequalities are large and appear to be mostly increasing within industrialized countries, although comparative studies across high-income countries are scarce. Germany is an important country to examine because it continues to experience considerable economic disparities between its federal states, in part resulting from its former division. Methods We analyse state-level mortality in Germany utilizing data from a newly constructed regional database based on the methodology of the Human Mortality Database. We compare time trends (1991–2015) in the German state-level standard deviation in life expectancy to that of other large, wealthy countries and examine the association between mortality and economic inequalities at the regional level. Finally, using contour-decomposition methods, we investigate the degree to which age patterns of mortality are converging across German federal states. Results Regional inequalities in life expectancy in Germany are comparatively low internationally, particularly among women, despite high state-level inequalities in economic conditions. These low regional mortality inequalities emerged 5–10 years after reunification. Mortality is converging over most ages between the longest- and shortest-living German state populations and across the former East–West political border, with the exception of an emerging East–West divergence in mortality among working-aged men. Conclusions The German example shows that large regional economic inequalities are not necessarily paralleled with large regional mortality disparities. Future research should investigate the factors that fostered the emergence of this unusual pattern in Germany.

Sector Switching in Good Times and in Bad: Are Public Sector Employees Less Likely to Change Sectors?

2017 ◽  
Vol 46 (4) ◽  
pp. 327-341 ◽  
Author(s):  
Jaclyn S. Piatak
Keyword(s):  
Economic Conditions ◽  
Federal State ◽  
Government Employees ◽  
Employment Decisions ◽  
For Profit ◽  
Public Managers ◽  
State And Local ◽  
The Government ◽  
The Impact ◽  
Sector Switching

With the retirement of the baby boomers looming and the growing number of opportunities to serve the public interest in broader ways than working in government, how dedicated are today’s public employees? This study examines the job sector changes of nonprofit and government employees compared with for-profit employees during both stable and unstable economic conditions. Sector switching within the government sector across federal, state, and local government employees is also examined. Findings show no sector differences during stable economic conditions, but illustrate federal government and nonprofit employees are more likely to move into the for-profit sector during times of economic instability. This study highlights the impact of tough labor market conditions on employment decisions. Nonprofits’ reliance on labor donations may no longer be sufficient, and public managers should tailor their recruitment and retention strategies to suit the level of government.

Do real estate loans reflect regional banking and economic conditions?

2016 ◽  
Vol 8 (1) ◽  
pp. 37-63 ◽  
Author(s):  
Amit Ghosh
Keyword(s):  
Real Estate ◽  
Fixed Effects ◽  
Banking Industry ◽  
Generalized Method Of Moments ◽  
Housing Price ◽  
Land Development ◽  
State Level ◽  
Economic Conditions ◽  
Single Family ◽  
Content Type

Purpose Using state-level data, the purpose of this paper is to examine state banking-industry specific as well as region economic determinants of real estate lending of commercial banks across all 51 states spanning the period 1966-2014. Design/methodology/approach Using both fixed-effects and dynamic-generalized method of moments (GMM) estimation techniques the study compares the sensitivity of different categories of real estate loans to regional banking and economic conditions. Finally, it provides a comparative perspective by comparing the results for real estate loans with other categories of loans given out by banks. Findings Greater capitalization, liquidity and overhead costs reduce real estate lending, while banks diversification and the size of the banking industry in each state increase such lending. Moreover, real estate loans are found to be procyclical to state economic cycles with a rise in state real gross domestic product (GDP) growth, increase in state housing price index (HPI) and decline in both inflation and unemployment rates, increasing real estate loans. Within disaggregated loan types, construction and land development and single-family residential loans are most responsive to state banking and economic conditions. Originality/value The recent financial turmoil is to a large extent attributable to excessive risk-taking by banks, particularly in terms of real estate lending. Hence, it is of paramount importance to empirically address the various determinants of real estate lending. With most banks restricting their operations in either one or a few states only, real estate lending in any given state may be more sensitive to regional banking and economic conditions than national aggregates. The present study is the first of its type to perform such an analysis.

scholarly journals Tracking Weekly State-level Economic Conditions

2021 ◽  
Author(s):  
Christiane Baumeister ◽  
Danilo Leiva-Leon ◽  
Eric R. Sims
Keyword(s):  
State Level ◽  
Economic Conditions

scholarly journals Tracking weekly state-level economic conditions

2021 ◽  
Author(s):  
Christiane Baumeister ◽  
Danilo Leiva-Leon ◽  
Eric R. Sims
Keyword(s):  
State Level ◽  
Economic Conditions

scholarly journals Revisiting the Contested Role of Natural Resources in Violent Conflict Risk through Machine Learning

2020 ◽  
Vol 12 (16) ◽  
pp. 6574
Author(s):  
Marie K. Schellens ◽  
Salim Belyazid
Keyword(s):  
Machine Learning ◽  
Natural Resources ◽  
Natural Resource ◽  
Network Models ◽  
Violent Conflict ◽  
Machine Learning Techniques ◽  
Economic Conditions ◽  
Neural Network Models ◽  
Logistic Regression Models ◽  
Conflict Risk

The integrated character of the sustainable development goals in Agenda 2030, as well as research in environmental security, flag that sustainable peace requires sustainable and conflict-sensitive natural resource use. The precise relationship between the risk for violent conflict and natural resources remains contested because of the interplay with socio-economic variables. This paper aims to improve the understanding of natural resources’ role in the risk of violent conflicts by accounting for complex interactions with socio-economic conditions. Conflict data was analysed with machine learning techniques, which can account for complex patterns, such as variable interactions. More commonly used logistic regression models are compared with neural network models and random forest models. The results indicate that a country’s natural resource features are important predictors of its risk for violent conflict and that they interact with socio-economic conditions. Based on these empirical results and the existing literature, we interpret that natural resources can be root causes of violent intrastate conflict, and that signals from natural resources leading to conflict risk are reflected in and influenced by interacting socio-economic conditions. More specifically, the results show that variables such as access to water and food security are important predictors of conflict, while resource rents and oil and ore exports are relatively less important than other natural resource variables, contrasting what prior research has suggested. Given the potential of natural resource features to act as an early warning for violent conflict, we argue that natural resources should be included in conflict risk models for conflict prevention.

scholarly journals Levels, trends and socio-economic correlates of caesarean section deliveries

2019 ◽  
Vol 33 (4) ◽  
pp. 323-335
Author(s):  
Javeed A. Golandaj ◽  
Jyoti S. Hallad
Keyword(s):  
Caesarean Section ◽  
Maternal Education ◽  
State Level ◽  
Household Survey ◽  
Poverty Line ◽  
Health Facilities ◽  
Content Type ◽  
Logistic Regression Models ◽  
Surgical Tool ◽  
Life Saving

Purpose Caesarean section (CS) is being used as a life-saving surgical tool when complications arise in the process of childbirth. CS rates have dramatically increased across the world, especially in recent decades. In this background, the purpose of this paper is to explore the CS rates and its determinants in Karnataka, India. Design/methodology/approach The study uses multiple rounds of the District Level Household Survey (DLHS) data to show the trends, differentials and determinants in CS deliveries. Both bivariate and multivariate analyses have been carried out, and the χ2 test and logistic regression models were applied. Findings Result shows a sharp increase in CS rates across Karnataka; further, this is high and reaches an alarming level in southern parts of the state. Along with a huge rural–urban difference, significant biological and socio-economic differences were observed. Further, a very dramatic increase in the CS rate was observed in private health facilities, whereas it was stagnant or even decreased in public health facilities during recent years. Mothers age at birth, birth weight, birth order, multiple births, birth institution and place of residence were significantly associated with CS delivery. Unlike these biological factors, the social-economic factors like maternal education, caste, religion and below poverty line household were not found to be significant in determining CS deliveries. Originality/value A strong policy to address the dramatic increase in CS deliveries is the need of the hour. Further, there should be a proper mechanism at national, state and sub-state level to provide appropriate checks and monitoring for CS deliveries which are unnecessary.

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