The Chronicle Review Special Issue on Inequality

Full table of contents are here. Some highlights include:

Capital Man
by Emily Eakin
Thomas Piketty is economics’ biggest sensation. He’s also the field’s fiercest critic.

Campus Reflection
by John Quiggin
Inequalities in higher education mirror those in society at large.

Is Wedlock for the Weathy?
by June Carbone and Naomi Cahn
Marriage is waning among the poor and increasing among the affluent, but the law hasn’t kept up with those trends.

Impoverished Thinking
Interview by Peter Monaghan
Sendhil Mullainathan discusses scarcity and the economic mind.

Working Papers from NBER

An Empirical Model of Wage Dispersion with Sorting
by Jesper Bagger, Rasmus Lentz #20031
Abstract; PDF

Retirement, Early Retirement and Disability: Explaining Labor Force Participation after 55 in France
by Luc Behaghel, Didier Blanchet, Muriel Roger #20030
Abstract; PDF

Health Status, Disability and Retirement Incentives in Belgium
by Alain Jousten, Mathieu Lefebvre, Sergio Perelman #20035
Abstract; PDF

Health Care in a Multipayer System: The Effects of Health Care Service Demand among Adults under 65 on Utilization and Outcomes in Medicare
by Sherry A. Glied #20045
Abstract; PDF

Place-Based Policies
by David Neumark, Helen Simpson #20049
Abstract; PDF

How Do Providers Respond to Public Health Insurance Expansions? Evidence from Adult Medicaid Dental Benefits
by Thomas C. Buchmueller, Sarah Miller, Marko Vujicic #20053
Abstract; PDF

Inflation in the Great Recession and New Keynesian Models
by Marco Del Negro, Marc P. Giannoni, Frank Schorfheide #20055
Abstract; PDF

Promise Scholarship Programs as Place-Making Policy: Evidence from School Enrollment and Housing Prices
by Michael LeGower, Randall Walsh #20056
Abstract; PDF

Co-residence, Life-Cycle Savings and Inter-generational Support in Urban China
by Mark R. Rosenzweig, Junsen Zhang #20057
Abstract; PDF

Bequests and Heterogeneity in Retirement Wealth
by Mariacristina De Nardi, Fang Yang #20058
Abstract; PDF

Economic Well-being and Anti-Semitic, Xenophobic, and Racist Attitudes in Germany
by Naci H. Mocan, Christian Raschke #20059
Abstract; PDF

Declining Migration within the U.S.: The Role of the Labor Market
by Raven Molloy, Christopher L. Smith, Abigail Wozniak #20065
Abstract; PDF

Disease and Development: A Reply to Bloom, Canning, and Fink
by Daron Acemoglu, Simon Johnson #20064
Abstract; PDF

Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch
by Fredrik Andersson, John C. Haltiwanger, Mark J. Kutzbach, Henry O. Pollakowski, Daniel H. Weinberg #20066
Abstract; PDF

On the Distributive Costs of Drug-Related Homicides
by Nicolas Ajzenman, Sebastian Galiani, Enrique Seira #20067
Abstract; PDF

Discrimination and the Effects of Drug Testing on Black Employment
by Abigail K. Wozniak #20095
Abstract; PDF

Is Smoking Inferior? Evidence from Variation in the Earned Income Tax Credit
by Donald S. Kenkel, Maximilian D. Schmeiser, Carly J. Urban #20097
Abstract; PDF

Communicating Uncertainty in Official Economic Statistics
by Charles F. Manski #20098
Abstract; PDF

Two Reports from the PRB On Malawi’s Population Structure

Malawi’s Pathway to a Demographic Dividend.
“Over the past decade, countries throughout Africa have experienced sustained economic growth. Despite this growth, almost two of every three people—or 600 million—are still living on less than $2 per day. Like many of its neighbours, Malawi experienced consistent economic growth during the mid-2000s, though this growth had little effect on poverty.”
Download full report (PDF).

A Vision for the Health and Well-Being of Malawi’s Young People.
“Malawi’s large population of young people has special significance for national development. Today, Malawi has the largest population of youth in its history, accounting for 40 percent of Malawi’s total population (16.3 million people).”
Download full report (PDF).

See also: 2012 PRB article, Why Population Matters to Malawi’s Development.

Changing Race From One Census to the Next

Via D’Vera Cohn, Pew Research Center, FactTank

Millions of Americans counted in the 2000 census changed their race or Hispanic-origin categories when they filled out their 2010 census forms, according to new research presented at the annual Population Association of America meeting last week. Hispanics, Americans of mixed race, American Indians and Pacific Islanders were among those most likely to check different boxes from one census to the next.

Russell Sage announcing new journal: RSF: The Russell Sage Foundation Journal of the Social Sciences

The Russell Sage Foundation announced the launch of a new social science journal, RSF: The Russell Sage Foundation Journal of the Social Sciences. “RSF is intended to promote cross-disciplinary collaborations on timely topics of interest to social scientists and other academic researchers, policymakers, and the public at large. Each issue will be thematic in nature and will focus on a specific research question or area of interest. The introduction to each issue will provide an accessible, broad, and synthetic overview of the research question under consideration and the current thinking from various fields. RSF will be a peer-reviewed, open-access journal of original empirical research by both established and emerging scholars. The first issue is scheduled to be published in fall 2015.”

The Growth of Incarcaration in the United States

From the National Academies Press
Authors: Committee on Causes and Consequences of High Rates of Incarceration; Committee on Law and Justice (CLAJ); Division of Behavioral and Social Sciences and Education (DBASSE); National Research Council

From the description:

The Growth of Incarceration in the United States examines research and analysis of the dramatic rise of incarceration rates and its affects. This study makes the case that the United States has gone far past the point where the numbers of people in prison can be justified by social benefits and has reached a level where these high rates of incarceration themselves constitute a source of injustice and social harm.

Information from the NAP website and read the book online

Caught in Poverty

The New York Times is beginning a series examining hardship 50 years after the war on poverty. The first in the series is “50 Years Into the War on Poverty, Hardship Hits Back” by Trip Gabriel:

McDowell County, W.Va., has been a public face of hardship for more than a half-century. But today, it is burdened with a different, less tractable kind of poverty.

Interactive Map: Mapping Poverty in America

A questionnaire change: politics or not?

The Census Bureau has changed how it will measure insurance coverage in the Current Population Survey – Census Bureau announcement.

Many on both the left and right are unhappy with this change because of the discontinuity with the insurance measure over time – in other words, before Obamacare and after Obamacare.

Many of the comments reflect ignorance on how much research goes into changing, adding, deleting questions or that OMB always reviews questionnaire changes (even under Republican presidents). Also this change is to the questionnaire in the CPS, not the American Community Survey (or long-form census).

But, this quote probably reflects the view of many health analysts: “Getting worked up into an increasingly heated health nerd rage about the Census changes. We’re losing our best data source on Obamacare.” via Twitter. [See tweet and comments]

Here is a compilation of articles in the order they were published:

Census Bureau: Sorry, We’re Going to Have a Hard Time Measuring . .
Patrick Brennan | National Review Online
April 15, 2014

Obama Hijacks Census to Whitewash ObamaCare’s Failure
B. Christopher Agee | Western Journalism
April 15, 2014

Both Sides in Obamacare Fight Slam Census Bureau
Rob Garver | Fiscal Times
April 15, 2014

Census Survey Revisions Mask Health Law Effects
Robert Pear | New York Times
April 15, 2014

Want Useful Data on Obamacare? The Census Bureau Won’t Help
Peter Suderman | Reason (blog)
April 15, 2014

Manipulating Obamacare Stats: The Census Bureau’s Suspect Timing
Guy Benson | Town Hall (blog)
April 15, 2014

Obama’s cooking the Census for Obamacare?
Megan McArdle | Newsday
April 15, 2014

“You Had One Job” [Federal Health Insurance Statistics Edition]
Ben Mathis-Lilley | Slate
April 15, 2014

Republicans Accuse Census Bureau of Trying to ‘Hide the Effects of Obamacare’
Michael McAuliff | Huffington Post
April 15, 2014

Finding “war brides” in the ACS

Several years ago the Census Bureau added a “what year were you married” question to the American Community Survey. This was an uncontroversial change to the questionnaire because it helped shore up data on marriages.

See link from the IPUMS for all the new marriage/divorce timing variables

The CDC used to collate marriage and divorce certificate data from state vital statistics offices, but ceased this operation in the mid-1990s due to budgetary constraints [See sad note to this effect].

Here is a nice illustration from Philip Cohen’s Family Inequality blog on using these data to find out how many World War II “war brides” are still alive.

How many WWII war brides are still living?
Philip Cohen | Family Inequality blog
April 14, 2014

If you don’t like his definition of a war bride, make your own and write it up in your own blog.

The Effects of Rurality on College Access and Choice

Via: Chronicle of Higher Education, The Ticker

By: Michael Andrew Koicich, Texas Tech University
Presented at:
AERA 2014 Annual Meeting
April 4, 2014

Abstract:

Students from rural areas have a history of lower educational attainment at both the K-12 and postsecondary levels, yet this population remains understudied. This study seeks to update past studies of rural youth by examining college attendance and choice decisions for students from non-metropolitan counties. Logistic regression is used to study the postsecondary attendance and institutional choice for rural students. Data are taken from two national data sets, the Education Longitudinal Study of 2002 and the 2004 County Typologies published by the U.S. Department of Agriculture, which are then combined to conduct this analysis. The results of this study reveal clear disadvantages in postsecondary attendance, institutional level, selectivity, and other indicators resulting simply from living in a non-metropolitan county. The effect of most student characteristics did not vary substantially between rural and non-rural areas, but the analysis did reveal one interesting finding: The relationship between college attendance and choice and a student’s socioeconomic status was weaker for rural students than for non-rural students. Some systematic variation across rural communities was revealed, as well.

Full paper (PDF)