Distribution and capacity utilization in the United States: evidence from state-level data

2020 ◽  
Vol 8 (2) ◽  
pp. 240-267
Author(s):  
Luke Petach

Applying previously unused regional data to the problem of wage- versus profit-led growth, this paper estimates a demand-and-distribution system for a panel of US states for the years 1974 to 2014. Using variation in minimum-wage policy across states as an instrument for the labor share, I find that – at a regional level – the United States is strongly wage-led. In the absence of a satisfactory econometric identification strategy, I estimate the distributive curve non-parametrically. The results suggest the presence of significant non-linearities, with US states exhibiting profit-squeeze dynamics at low levels of capacity utilization and wage-squeeze dynamics at high levels. These results suggest difficulties for wage-led policy akin to a coordination failure.

2021 ◽  
Author(s):  
Charlie B. Fischer ◽  
Nedghie Adrien ◽  
Jeremiah J. Silguero ◽  
Julianne J. Hopper ◽  
Abir I. Chowdhury ◽  
...  

AbstractMask wearing has been advocated by public health officials as a way to reduce the spread of COVID-19. In the United States, policies on mask wearing have varied from state to state over the course of the pandemic. Even as more and more government leaders encourage or even mandate mask wearing, many citizens still resist the notion. Our research examines mask wearing policy and adherence in association with COVID-19 case rates. We used state-level data on mask wearing policy for the general public and on proportion of residents who stated they always wear masks in public. For all 50 states and the District of Columbia (DC), these data were abstracted by month for April ⍰ September 2020 to measure their impact on COVID-19 rates in the subsequent month (May ⍰ October 2020). Monthly COVID-19 case rates (number of cases per capita over two weeks) >200 per 100,000 residents were considered high. Fourteen of the 15 states with no mask wearing policy for the general public through September reported a high COVID-19 rate. Of the 8 states with at least 75% mask adherence, none reported a high COVID-19 rate. States with the lowest levels of mask adherence were most likely to have high COVID-19 rates in the subsequent month, independent of mask policy or demographic factors. Mean COVID-19 rates for states with at least 75% mask adherence in the preceding month was 109.26 per 100,000 compared to 249.99 per 100,000 for those with less adherence. Our analysis suggests high adherence to mask wearing could be a key factor in reducing the spread of COVID-19. This association between high mask adherence and reduced COVID-19 rates should influence policy makers and public health officials to focus on ways to improve mask adherence across the population in order to mitigate the spread of COVID-19.


Author(s):  
Pippa Norris

This chapter compares cross-national and state-level evidence from expert and mass surveys to diagnose problems in American elections. When evaluating the integrity of elections, experts rated America exceptionally poorly. Compared with all 153 countries in the survey, based on the average evaluations of both the 2012 and 2014 US elections, America scored 62 out of the 100-point PEI Index. Compared with the rest of the world, the United States ranks 52nd worldwide. Experts also evaluated the 2016 elections across all fifty US states and Washington, DC. The results show that the south remains the region of America which experts assess as having the weakest electoral performance. Democratic-controlled states usually had significantly greater electoral integrity than Republican-controlled states, across all stages except one (the declaration of the results, probably reflecting protests in several major cities following the unexpected Trump victory).


1998 ◽  
Vol 37 (1-4) ◽  
pp. 209-217 ◽  
Author(s):  
K Forde ◽  
A Hillberg-Seitzinger ◽  
D Dargatz ◽  
N Wineland

2011 ◽  
Vol 43 (3) ◽  
pp. 443-451 ◽  
Author(s):  
Genti Kostandini ◽  
Elton Mykerezi ◽  
Eftila Tanellari

We investigate the determinants of organic farming in the United States. State-level data show that the organic farming sector has grown over the last decade, but growth has been very heterogeneous with few states accounting for most of the growth. Further analyses of county data reveal that favorable natural amenities, water for irrigation, and government payments have a positive effect on most measures of organic farming used here. Results further point out that organic farming operations are more popular among young farmers. Adjacency to metro areas is also an important determinant for the number of organic operations. Organic farming is more important for the agricultural sector of the areas that are somewhat remote but that does not appear to be the case for very remote rural areas.


2017 ◽  
Vol 38 (2) ◽  
pp. 141-163 ◽  
Author(s):  
Tima T. Moldogaziev ◽  
James E. Monogan ◽  
Christopher Witko

AbstractProminent public policy models have hypothesised that rising income inequality will lead to more redistributive spending. Subsequent theoretical advancements and empirical research often failed to find a positive relationship between inequality and redistributive spending, however. Over the last few decades both income inequality and redistributive spending have been growing in the United States states. In this work, we consider whether temporal variation in inequality can explain variation in redistributive spending, while controlling for a number of factors that covary with redistributive spending in the states. In an analysis of data for 1976–2008, we find that higher levels of inequality are associated with greater redistributive spending, offering empirical evidence that fiscal policy at the state level responds to growing levels of income inequality. Considering the growing role of state governments in welfare provision during the past several decades, this finding is relevant for policy researchers and practitioners at all levels of government.


2011 ◽  
Vol 113 (5) ◽  
pp. 1031-1066
Author(s):  
Dongbin Kim ◽  
John L. Rury

Background/Context American higher education witnessed rapid expansion between 1960 and 1980, as colleges and universities welcomed millions of new students. The proportion of 19- and 20-year-old students living in dormitories, rooming houses, or other group quarters fell from more than 40% to slightly less than a third. At the same time, the proportion of students in this age group living at home with one or two parents increased from about 35% to nearly 47%, becoming the largest segment of the entering collegiate population in terms of residential alternatives. While growing numbers of high school graduates each fall headed off to campus dormitories, even more enrolled in commuter institutions close to home, gaining their initial collegiate experience in circumstances that may not have differed very much from what they had experienced in secondary school. The increased numbers of commuter students, whether they attended two-year or four-year institutions, however, have received little attention from historians and other social scientists. Purpose/Objective/Research Question/Focus of Study This study focuses on students aged 19 and 20 who lived with parents and commuted from home during the years from 1960 to 1980, when commuters became the largest category of beginning college students. It also addresses the question of how this large-scale change affected the social and economic profile of commuter students in the United States. In this regard, this study can be considered an evaluation of policy decisions intended to widen access to postsecondary institutions. Did the growing number of students living at home represent a democratic impulse in higher education, a widening of access to include groups of students who had previously been excluded from college? The study approaches this question by examining changes in the characteristics and behavior of commuter students across the country. Recognizing the variation in enrollment rates and other educational indices by state or region, this study also focuses on how the individual behavior at the point of college entry is affected by these and other characteristics of the larger social setting, particularly from a historical perspective. Research Design To grasp the larger picture of historical trends in college enrollment during the period of study, particularly in the growth of commuter students, the first part of the study utilizes state-level data and identifies changes in the number of entering college students who were commuters. In the process, descriptive statistics and ordinary least squares regression are used to identify factors associated with the proportion of college students living with their parents across states. In the second stage of analysis, hierarchical generalized linear modeling, utilizing both state- and individual-level data, is used to consider different layers of contextual effects on individual decisions to enroll in college. Data Collection and Analysis At the individual level, the principal sources of information are from 1% Integrated Public Use Microdata Samples (IPUMS) for 1960 and 1980. These are individual-level census data that permit consideration of a wide range of variables, including college enrollment. State-level variables are drawn from the published decennial census volumes, from National Center for Education Statistics reports on the number of higher education institutions, and from aggregated IPUMS data. Conclusions/Recommendations This study finds that commuter students in the United States appear to have benefited from greater institutional availability, the decline of manufacturing, continued urbanization, and a general expansion of the middle class that occurred across the period in question. It was a time of growth for this sector of the collegiate population. Despite rhetoric about wider access to postsecondary education during the period, however, the nation's colleges appear to have continued to serve a relatively affluent population, even in commuter institutions. Although making postsecondary institutions accessible to commuter students may have improved access in some circumstances, for most American youth, going to college appears to have remained a solidly middle- and upper-class phenomenon.


2020 ◽  
Vol 7 (6) ◽  
pp. 491-507
Author(s):  
Chad A. Malone ◽  
Ryan D. King

This research examines the association between economic insecurity and imprisonment rates in the United States. Building on Garland’s thesis about punishment and late modernity, it is hypothesized that rising economic insecurity in a population is associated with an increase in the imprisonment rate. This hypothesis is tested with state-level data for the years 1986–2013. Results indicate a robust association between changes in economic insecurity, measured as the percentage of households in a state losing a quarter or more of their income in a single year, and changes in imprisonment rates. This finding suggests that economic insecurity is not only relevant for explaining large-scale shifts in penal philosophy and practice, as prior sociological theory has argued. It also explains some of the year-to-year variation in imprisonment rates and points to another way in which inequality is associated with punishment.


2014 ◽  
Vol 29 (5) ◽  
pp. 757-770 ◽  
Author(s):  
Emily Douglas ◽  
Jennifer Vanderminden

Annually, over a thousand children are the victims of homicide in the United States Homicide among younger children, 0–9 years of age, is usually perpetrated by parents and caregivers. Researchers neither have tracked changes in the homicide rate among young children over time nor have they used theory to understand what factors may drive these changes. In this analysis of state-level data, we used longitudinal growth modeling and ecological theory to examine changes in homicide rate against children aged 0–9 years from 1979 to 2007. Our results indicate that states are relatively consistent, over time, in their homicide rates. Furthermore, a cultural context of criminal and risky behavior is positively associated with homicide against children. We discuss implications for future research and prevention.


SURG Journal ◽  
2013 ◽  
Vol 6 (1) ◽  
pp. 42-51
Author(s):  
Kathryn Swierzewski

This study examines the effect assortative mating by education has on income inequality by household. In contrast to the majority of other literature in this field which focus on the United States (U.S.) as a whole, this study makes use of state-level data to examine the marriage mating market with respect to education attainment. It also examines how homogamous partnerships increase income inequality across households by analyzing changes in the Gini coefficient over time. Panel data for this analysis is from the U.S. Bureau of Economic Analysis and the Integrated Public Use Microdata Series (IPUMS-International and IPUMS-USA) from the U.S. Census of the Population. Assortative mating by education is shown in this analysis to be a contributing factor to increasing inequality among homogamous heterosexual partnerships in the U.S. from 1960 to 2005. Keywords: assortative mating; education level; United States (state-level, from 1960-2005); income inequality (household); labour economics; welfare economics


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