Managing social policy under federalism: The challenges of hybrid funding and program delivery

This paper discusses generally the question of the level of government that should be used to administer different social policies. The chapter focuses on the Medicaid program, looking at recent state-level changes in health insurance for the poor and long-term care policy. Particular attention will be paid to the question of how states have used their new freedoms to outsource public insurance to the private sector and on the consequent differences in outcomes across states. Notably, this paper will be drawn from my forthcoming book “The American Myth of Markets in Social Policy” (Palgrave, MacMillan, November, 2015).

Assessing inequality using percentile shares

At least since Thomas Piketty's best-selling \Capital in the Twenty- First Century" (2014, Cambridge, MA: The Belknap Press), percentile shares have become a popular approach for analyzing distributional inequalities. In their work on the development of top incomes, Piketty and collaborators typically report top- percentage shares, using varying percentages as thresholds (top 10%, top 1%, top 0.1%, etc.). However, analysis of percentile shares at other positions in the distri- bution may also be of interest. In this paper I present a new Stata command called pshare that estimates percentile shares from individual-level data and displays the results using histograms or stacked bar charts.

Assessing inequality using percentile shares

At least since Thomas Piketty's best-selling "Capital in the Twenty-First Century" (2014, Cambridge, MA: The Belknap Press), percentile shares have become a popular approach for analyzing distributional inequalities. In their work on the development of top incomes, Piketty and collaborators typically report top-percentage shares, using varying percentages as thresholds (top 10%, top 1%, top 0.1%, etc.). However, analysis of percentile shares at other positions in the distribution may also be of interest. In this paper I present a new Stata command called -pshare- that estimates percentile shares from individual-level data and displays the results using histograms or stacked bar charts.