Accounting for the Change in Income Disparities between US Central Cities and their Suburbs from 1980 to 1990

Develops a method that uses cluster analysis to group central cities in the United States. Selection of the candidate cluster solutions; Median characteristics of the clusters; Stressed central cities; Healthy central cities

Cardiovascular inflammation in healthy women: multilevel associations with state-level prosperity, productivity and income inequality

<p>Abstract</p> <p>Background</p> <p>Cardiovascular inflammation is a key contributor to the development of atherosclerosis and the prediction of cardiovascular events among healthy women. An emerging literature suggests biomarkers of inflammation vary by geography of residence at the state-level, and are associated with individual-level socioeconomic status. Associations between cardiovascular inflammation and state-level socioeconomic conditions have not been evaluated. The study objective is to estimate whether there are independent associations between state-level socioeconomic conditions and individual-level biomarkers of inflammation, in excess of individual-level income and clinical covariates among healthy women.</p> <p>Methods</p> <p>The authors examined cross-sectional multilevel associations among state-level socioeconomic conditions, individual-level income, and biomarkers of inflammation among women (n = 26,029) in the Women's Health Study, a nation-wide cohort of healthy women free of cardiovascular diseases at enrollment. High sensitivity C-reactive protein (hsCRP), soluble intercellular adhesion molecule-1 (sICAM-1) and fibrinogen were measured between 1993 and 1996. Biomarker levels were examined among women within quartiles of state-level socioeconomic conditions and within categories of individual-level income.</p> <p>Results</p> <p>The authors found that favorable state-level socioeconomic conditions were correlated with lower hsCRP, in excess of individual-level income (e.g. state-level real per capital gross domestic product fixed effect standardized Βeta coefficient [Std B] -0.03, 95% CI -0.05, -0.004). Individual-level income was more closely associated with sICAM-1 (Std B -0.04, 95% CI -0.06, -0.03) and fibrinogen (Std B -0.05, 95% CI -0.06, -0.03) than state-level conditions.</p> <p>Conclusions</p> <p>We found associations between state-level socioeconomic conditions and hsCRP among healthy women. Personal household income was more closely associated with sICAM-1 and fibrinogen than state-level socioeconomic conditions. Additional research should examine these associations in other cohorts, and investigate what more-advantaged states do differently than less-advantaged states that may influence levels of cardiovascular inflammation among healthy women.</p

Engines of Sectoral Labor Productivity Growth

We study the origins of labor productivity growth and its differences across sectors. In our model, sectors employ workers of different occupations and various forms of capital, none of which are perfect substitutes, and technology evolves at the sector-factor cell level. Using the model we infer technologies from US data over 1960-2017. We find sector-specific routine labor augmenting technological change to be crucial. It is the most important driver of sectoral differences, and has a large and increasing contribution to aggregate labor productivity growth. Neither capital accumulation nor the occupational employment structure within sectors explains much of the sectoral differences

Credit supply shocks and household leverage: evidence from the US banking deregulation

We use a quasi-natural experimental framework provided by the staggered removals of interstate banking restrictions to identify the effect of a credit supply shock on household finances in the US. Banking deregulation is found to have increased the propensity to hold debt, the amount of debt held and the level of leverage. We also find that the deregulation had a more pronounced effect on non-white headed households. Moreover, we show how deregulation increased debt and leverage at the middle and the top of the debt and leverage distributions. The credit supply shock also had a relatively large effect on non-white headed households at the top 20% of the debt distribution