Leader: Luigi Pistaferri
The study of poverty and inequality has long privileged measures of income over those of consumption. Does this lead us awry? The purpose of the Consumption RG, which the CPI has founded only recently, is to monitor trends in consumption-based poverty and inequality and to understand the sources of those trends. The analyses within this RG will focus on the individual components of consumption because they are not always moving in lockstep. For example, inequality in the ownership of major durables has been declining, whereas inequality in nondurables, services, and food consumption has been increasing. The trends in food consumption are further complicated, however, because coloric intake is not growing more unequal, partly as a result of assistance provided by SNAP. The main rationale for setting up this RG is that patterns of consumption, especially among the poor, appear to be changing in complicated ways that require careful study and documenting. Although in principle the well-being of households may be better assessed with consumption than income, a consumption-based approach is thus complicated by the very different trends across the components of consumption and by difficulties in knowing the value assigned to the quality of goods that are consumed.
Leaders: Elizabeth Peters, Sara McLanahan
The continuing decline in prime-age employment interacts with ongoing changes in the structure and composition of low-income families. The relevant trends here include (a) declining marriage rates and increasing cohabitation, (b) increases in nonmarital births and multi-partner fertility, and (c) rising noncustodial parenthood (especially for fathers). These developments all work to weaken the “family safety net” for poor children. In a precarious labor market, a second parent provides backup in difficult times (e.g., extra income, childcare), thus reducing the risks of poverty. The family safety net is in this sense weakening just as the labor market is becoming more precarious. Moreover, because some programs (e.g., EITC) provide higher benefits for custodial parents, the rise of noncustodial parenting undermines the capacity of the formal safety net to step in as the family safety net weakens. These and related changes in family structure have prompted a spate of policy proposals, some involving safety net reforms that accommodate the new family forms (e.g., incentivizing noncustodial parents to comply with child-support orders), and others addressing the underlying institutional changes themselves (e.g., increasing the availability of long-acting reversible contraceptives). The charge of the Family RG is to evaluate these proposals and to better understand how the safety net is adapting to changes in family structure. The following projects are a sampling of the research underway within this RG.
A new round of Fragile Families data collection: Under the leadership of Sara McLanahan, a new initiative to update the Fragile Families Study is underway, with a focus on adding administrative records, metabolic and immune markers, and measures of methylation.
Income and the developing brain: Does income support for families affect the brain function and development of infants? A new experiment will reveal all.
Measuring family complexity in the AOS: Will the American Opportunity Study (AOS) capture the rise of ever more complicated family forms? By linking tax, census, and birth records, the AOS should be up to the task.
Leaders: Sanjay Basu, Mark Cullen, Jeremy Freese, David Rehkopf
The affiliates within the Health Disparities RG are using new computer modeling and statistical techniques to examine how poverty affects the health of children and adults and how some anti-poverty programs are reducing those effects. Here’s a sampling of our projects.
Income, geography, and life expectancy: Using deidentified tax data and Social Security Administration death records, Raj Chetty and his coauthors have shown that the richest 1 percent live 14.6 years longer, on average, than the poorest 1 percent. Although poor people typically have much shorter lives, Chetty also shows that the extent of this disadvantage depends on the place of residence, thus suggesting that there may be opportunities for policy to reduce the gap in life expectancy.
Infant health and poverty: Which poor neighborhoods are associated with very low birth weights? By identifying neighborhoods that are yielding very low birth weights, we can start to target home visiting and related programs.
Biological mechanisms of disadvantage: We all know that poverty “gets under the skin” and creates lasting disadvantage. Is this because children exposed to poverty-induced stress experience epigenetic changes? We’re going to know very soon.
Income and the developing brain: The prevailing view is that poverty is especially likely to shape children’s early development because of the high plasticity and rapid growth of the brain during the first three years of life. It’s high time for a rigorous study of how income affects the brain function and development of infants and toddlers.
Leaders: Matthew Desmond, Rebecca Diamond
The Housing RG is tasked with exploring the the inner workings of disadvantaged neighborhoods and the low-cost housing market, with a focus on (a) the relationship between housing, employment, and poverty, (b) the causes, dynamics, and consequences of eviction, and (c) the effectiveness of housing vouchers and other housing programs. A sampling of our ongoing projects follows.
Evictions and poverty: Are evictions an important cause of deep and extreme poverty? In collaboration with Raj Chetty, Matt Desmond is starting a project on the long-term consequences of eviction that will reveal the extent to which deep and extreme poverty can be reduced with a “housing first” policy that ramps up federal housing programs.
Housing voucher policy: The U.S. currently spends approximately $20 billion per year on subsidized housing vouchers, but 80 percent of these vouchers are used in moderate- or high-poverty neighborhoods, where opportunities for upward mobility are typically limited. Can voucher policies be recast to increase the number of families moving to “high opportunity” neighborhoods?
Leaders: David Harding, Stephen Raphael, Joan Petersilia
Since the mid-1970s, the United States has experienced a precipitous rise in incarceration, with about 2.3 million U.S. adults now incarcerated in state and federal prisons. In recent years, there has been increasing pressure to wind down this commitment to mass imprisonment, and it’s accordingly important to study ways to reintegrate successfully. The Incarceration RG is tasked with monitoring and evaluating the relationship between poverty and sentencing, parole reform, probation, reintegration, and recidivism.
Poverty and the decline in prison population: Will the ongoing decline in California’s prison population bring about an increase in homelessness, mental health service use, and other poverty-relevant outcomes? This line of research will reveal whether ongoing declines in incarceration should be coordinated with increased funding for programs that may substitute for incarceration.
Arrests, race, and poverty: Is reducing arrests the only way to reduce criminal bookings (and the employment-reducing effects of such bookings)? There may be another way.
Leaders: Greg Duncan, Arnold Milstein, Sean Reardon, Gregory Walton
The Life Course RG is dedicated to advancing research on life course theory and assessing how it can contribute to reducing poverty. The research within this RG focuses on issues of toxic stress, neurodevelopment, and epigenetics. The following are a few relevant projects within this RG.
Optimal timing of interventions: It has long been argued that interventions in the earliest years of childhood have larger long-term returns that interventions in later years. Is a comprehensive test of this hypothesis now possible?
Biological mechanisms of disadvantage: We’ve all heard that poverty “gets under the skin.” There is growing debate, however, on whether this biologic embedding of poverty takes an epigenetic form. A study underway at the CPI will be an especially important entry into this debate.
Infant health and poverty: It is well known that early disadvantages at the “starting gate” parlay into later developmental disadvantages and increased risks of poverty. Are these starting-gate disparities growing larger? Using the census of U.S. birth records between 1970 and 2014, we will soon know whether they are.
Differential EITC effects: Is there a critical moment in the child’s cognitive development in which an EITC supplement is especially consequential? This question, which has long been difficult to answer, can now be taken on by linking vital statistics to administrative data for school children.
Leaders: Linda Burton, Kathryn Edin, David Grusky
The Supplemental Poverty Measure (SPM) reveals substantial post-1970 reductions in poverty under a constant (i.e., “anchored”) threshold, but this trend masks worrisome developments at the very bottom of the distribution. Although the overall SPM has trended downward since 1970, the SPM for households with less than half of the anchored threshold level (i.e., “deep poverty”) has remained stable since 1968. Even more worrying, the most extreme forms of poverty, such as living on less than $2 per day (per person), have in fact increased over the last two decades. The main tasks of our Poverty and Deep Poverty RG are to describe trends in poverty and deep poverty, to assess the effectiveness of current anti-poverty programs, and to examine the likely payoff to introducing new anti-poverty programs. We present a sampling of relevant projects below.
Frequent Reporting Project: Why are unemployment statistics reported monthly whereas poverty statistics are reported only once a year (and with such a long lag)? The CPI is hard at work solving this problem.
California Poverty Project: The CPI, in collaboration with the Public Policy Institute of California, issues the California Poverty Measure (CPM) annually. There are plans afoot to make it an even more powerful policy instrument.
Ending Poverty in California: Is it possible to substantially reduce poverty in California by relying entirely on evidence-based programs? It indeed is.
The National Poverty Study: The country’s one-size-fits-all poverty policy ignores the seemingly profound differences between suburban poverty, immigrant poverty, reservation poverty, rural white poverty, deindustrializing poverty, and the many other ways in which massive deprivation plays out in the U.S. The National Poverty Study, which will be the country’s first qualitative census of poverty, takes on the problem.
Income supports and deep poverty: The U.S. does not rely heavily on unconditional cash transfers in its poverty programming. Is this a mistake? The CPI is assisting Y Combinator in providing the first U.S. evidence on unconditional income support since the negative income tax experiments of the 1970s.
Disability and deep poverty: The country’s disability programs are an important anti-poverty weapon. In evaluating their effectiveness, it is important to determine whether the low employment rates among program recipients reflects an underlying (low) capacity for employment, as opposed to the labor-supply effects of the programs themselves. Although it’s long been difficult to assess such labor-supply effects, now there’s a way forward.
Evictions and deep and extreme poverty: Are evictions an important cause of deep and extreme poverty? This line of research examines the extent to which deep and extreme poverty can be reduced with a “housing first” policy that ramps up federal housing programs.
Deep poverty and TANF add-ons: The country is implicitly running hundreds of experiments on how best to structure TANF programs, but it hasn’t had the capacity to evaluate them. Are administrative data the answer?
Leaders: Raj Chetty, Gary Solon, Florencia Torche
The purpose of the Social Mobility RG is to develop and exploit new administrative sources for measuring mobility and the effects of policy on mobility out of poverty. This research group is doing so by (a) providing comprehensive analyses of intergenerational mobility based on linked administrative data from U.S. tax returns, W-2s, and other sources, and (b) developing a new infrastructure for monitoring social mobility, dubbed the American Opportunity Study, that is based on linking census and other administrative data. Here’s a sampling of projects:
Small place estimates: The Equal Opportunity Project, led by Raj Chetty, uses tax return data to monitor opportunities for mobility out of poverty. In one of the new lines of analysis coming out of this project, the first round of results at the level of “commuting zones” are being redone at a more detailed level (e.g., census block level), thus allowing for even better inferences about the effects of place.
The American Opportunity Study: This research group is also collaborating with the Census Bureau to develop a new infrastructure for monitoring mobility that treats linked decennial census data as the spine on which other administrative data are hung.
Colleges and rising income inequality: Where do poor children go to attend college? The “Mobility Report Card” will convey the joint distribution of parent and student incomes for every Title IV institution in the United States.
The “absolute mobility” of the poor: What fraction of poor children grow up to earn more than their parents? Have rates of absolute upward mobility changed over time? This project develops a new method of estimating rates of absolute mobility for the 1940-1984 birth cohorts.
Intergenerational elasticities in the U.S.: There remains some debate about the size of intergenerational elasticities in the U.S. A rarely-used sample of 1987 tax data provides new evidence on U.S. elasticities.
Leaders: Nicholas Bloom, Raj Chetty, Emmanuel Saez
The CPI is home to some of the country’s most influential analyses of the income and wealth distribution. The purpose of the Income and Wealth RG is to monitor the ongoing takeoff in income inequality, to better understand its sources, and to analyze its implications for labor market performance, educational attainment, mobility, and more. The following is a sampling of the CPI’s research projects within this area.
Trends in income and wealth inequality: What are the key trends in U.S. income and wealth inequality? The U.S. increasingly looks to Emmanuel Saez and his research team for the latest data on U.S. economic inequality.
Distributional National Accounts: In an ambitious infrastructural project, Emmanuel Saez and his team are building a “Distributional National Accounts” based on tax returns, a data set that will eliminate the current gap between (a) national accounts data based on economic aggregates and (b) inequality analysis that uses micro-level tax data to examine the distribution of income but is not consistent with national aggregates. This new data set will in turn make it possible to evaluate the extent to which economic growth, which has long been represented as a preferred poverty-reduction approach, is indeed delivering on that objective.
The rise of between-firm inequality: How much of the rise in earnings inequality can be attributed to increasing between-firm dispersion in the average wages they pay? This question can be addressed by constructing a matched employer-employee data set for the United States using administrative records.
Rent and inequality: It is increasingly fashionable to argue that “rent” accounts for much of the takeoff in income inequality. The Current Population Survey can be used to assess whether this claim is on the mark.
Leader: Daniel Lichter, Robert Mare
The Residential Segregation RG is dedicated to updating the country’s system for measuring residential segregation. This research group has three main research commitments: (a) monitoring segregation at the extremes; (b) charting the spatial distribution of the elderly poor; and (c) developing a new GPS-based infrastructure for measuring segregation.
Segregation at the extremes: The first line of research addresses the need to better monitor segregation at the extremes, including (a) the possible rise of enclave-style segregation at the very top (the “one percent”) and (b) the yet more troubling possibility of a resurgence of extreme segregation among the very poor. In a related recession brief, Robert Sampson has shown that poor neighborhoods have become yet poorer in the downturn, raising the possibility that hyper-segregation is indeed emerging.
Segregation of the elderly poor: In the second line of research, research group members are charting the spatial distribution of the elderly poor, given emerging concerns about their ghettoization. This line of research, which is being carried out in collaboration with the Stanford Center on Longevity, begins with a simple descriptive mapping of elderly poor that reveals the extent to which they are indeed isolated and segregated.
Real-time measures of segregation: The third main initiative is to develop a new infrastructure for monitoring segregation. The conventional approach of carrying out separate and static measurements of residential, school, work, friendship, and marriage segregation can be replaced with a direct behavioral framework that tracks the continuous-time patterning of inter-person contact. By exploiting GPS measurements (increasingly available, even for the poor, via mobile phones), it becomes possible to track poor, middle-class, and rich people as they move through their day and attend school, go to work, carry out their shopping, and visit friends and family. This methodology will produce a real-time measure of how much segregation there is and, in particular, the extent to which the poor are growing increasingly isolated in school, home, work, and leisure.
Leaders: Gregory Acs, David Card, Michael Hout, Jesse Rothstein
The labor market was of course hit very heavily by the Great Recession, as evidenced by (a) the slow recovery of the unemployment rate, (b) and the even slower recovery of the long-term unemployment rate and the prime-age employment ratio (defined as the ratio of employed 25-54 year-olds to the population of that same age). This “jobs problem,” which is especially prominent among low-skill workers, has led to a sharp rise in the number of poor households without any working adults. It also underlies, in part, the sharp increase in the number of disability insurance claims and awards, which in turn has further reduced the supply of labor among low-skilled individuals.
If the first type of “jobs problem” is that there still are not enough of them, the second is that the jobs that are available do not always provide the requisite hours, wages, or security that are needed for a sure pathway out of poverty. As a result, low-skill individuals are not just working less but, even when they are working, there is no guarantee that their jobs will lift them and their families out of poverty. The Labor Markets RG is tasked with conducting research on these and related problems and exploiting administrative and other data to assess possible policy responses to them. We list below a few examples of the work being carried out in this group.
Long-run effects of work incentives: As nonworking poverty increases, the U.S. might well want to turn to new types of work incentive programs. Have these programs worked elsewhere?
Minimum wages and poverty: Throughout the west coast, there are a host of minimum wage “experiments” underway, experiments that have the potential to reset the low-wage labor market in quite fundamental ways. How are these experiments playing out?
Leaders: Mark Duggan, Hilary Hoynes, Karen Jusko
The Safety Net RG is devoted to monitoring changes in government transfers and anti-poverty programs and assessing whether they are meeting the needs of the poor. The U.S. safety net is undergoing such changes as (a) an ongoing decline in TANF cash benefits, (b) rapid increases in spending on EITC, Medicaid, Disability Insurance, Unemployment Insurance, and SNAP, and (c) a dramatic shift toward spending that favors the “working poor” over the more destitute. The CPI affiliates working within this research group are monitoring these changes, examining their implications for poverty, assessing the effectiveness of key government and nongovernment programs in reducing poverty, and modeling the costs and benefits of possible changes in policy and programs. We’ve provided a sampling here of some of this ongoing research.
Poverty Relief Project: With Kate Weisshaar, Karen Jusko uses the poverty relief ratio to evaluate the effectiveness of anti-poverty programs over time, across states, and across countries. Which state is the least effective in fighting poverty? Has the U.S. become more or less effective over time? These and other questions are answered in our latest State of the Union reports.
Long-run effects of SNAP: Have we underestimated the returns to SNAP by ignoring the long-run effects on children exposed to it in their early childhood? It’s now possible to find out.
California Welfare Laboratory: The poverty rate in California, when measured with the Supplemental Poverty Measure, is the highest in the country. What can be done to bring that rate down? The mission of the California Welfare Laboratory is to make research on California’s welfare programs accessible to all and thus facilitate an informed discussion of what is working and what needs to be improved.
Differential EITC effects: It is often argued that early interventions have especially high payoffs. Are the returns to the EITC indeed larger when it goes to parents with young children?
Disability and poverty: Does the federal government’s disability program reduce labor supply? Although it’s long been difficult to identify a causal effect, Mark Duggan has now found a way.
The effects of TANF: The TANF program is very decentralized and thus takes on dramatically different forms. How can we exploit that variability to find out what’s working?
Leaders: David Grusky, Tomás Jiménez, Doug Massey, Beth Mattingly
This RG was created after the CPI received a sub-award to study Hispanic poverty, inequality, and mobility. The objective is to document key poverty and inequality trends, to begin the task of explaining what underlies them, and to then populate a new website, with the results coming out of this research.
We are taking on five lines of research under the leadership of both young and more distinguished scholars. The “basic trends” group is documenting key developments in Hispanic population distribution, income, education, poverty, employment, and “safety net” use; the “new generations” group is examining whether second and third generation immigrants are successfully incorporating into the labor market; the “social mobility” group is assessing whether Hispanics continue to have ample opportunities to improve their economic situation during their lifetime; the “social policy” group is examining how recent legal and policy changes have affected Hispanic natives and immigrants; and the “health” group is exploring the sources of deteriorating health among Hispanic immigrants and natives. The work of this RG was featured in a Pathways Magazine special report on poverty, inequality, and mobility among Hispanics.
Leader: Sean Reardon
The purpose of the Education RG is to examine trends in the extent to which educational access and achievement are related to poverty and family background. The scholars working within this RG are examining state-level differences in the effects of social origins, uncovering the causes of the recent rise in the socioeconomic achievement gap, uncovering the causes of the yet more recent turnaround in this rise (among kindergarten children), and examining the ways in which high-achieving children from poor backgrounds can be induced to go to college. The following is a sampling of relevant CPI projects.
Reducing the race gap in test scores: How can the black-white gap in achievement test scores be eliminated? The new Stanford Education Data Archive (SEDA) will provide the most systematic evidence to date on the capacity of school-district policies to reduce the gap.
Colleges and rising income inequality: Are colleges delivering upward mobility for those raised in poverty? The new “Mobility Report Card” will provide unusually detailed data on this fundamental question.
Poverty and schooling on reservations: The noted ethnographer Martin Sánchez-Jankowski is examining how education on reservations can be reformed to reduce dropout, poverty, and suicide.
Leaders: Linda Burton, Tomás Jiménez, Hazel Markus, Douglas Massey, Marybeth Mattingly, C. Matthew Snipp
The CPI has an extensive research program on race, ethnicity, immigration, and poverty. The National Poverty Study, for example, is designed to rigorously compare differences across rural black, deindustrialized, reservation, and other “racialized” poverty forms. The CPI also runs a comprehensive program on Hispanic poverty that explores such topics as the “chilling effect” of anti-immigrant laws on program use, the reasons why, contrary to much speculation, the Hispanic poverty rate has not taken off, and the causes of the so-called Hispanic Health Paradox (see, for example, our Pathways Magazine special report on poverty, inequality, and mobility among Hispanics). And one of the CPI’s most distinguished affiliates, Jennifer Eberhardt (who is on the CPI directorate), is carrying out a groundbreaking big-data analysis of policing and race. We list below a sampling of other CPI projects on race, ethnicity, immigration, and poverty.
Poverty among refugees: The U.S. refugee population faces very high rates of poverty, yet we know very little about the effects of different resettlement programs and approaches. There are efforts afoot to exploit available administrative data and begin to find out what works and what doesn’t.
Arrests, race, and poverty: Why are some arrests resolved informally while others are converted into a criminal record that then has a life-long scarring effect? The process of converting an arrest into a criminal booking may play an important role in generating downstream racial disparities.
Reducing the race gap in test scores: The new Stanford Education Data Archive (SEDA) is a rich resource that is providing the most systematic evidence to date on the capacity of school-district policies to reduce the racial gap in test scores.
Poverty and schooling on reservations: Why are test scores and educational outcomes on Native reservations so low (relative to the national average)? In a new project by the noted ethnographer Martin Sánchez-Jankowski, we’ll be learning more about how traditional and formal education are viewed and the ways in which they might be better integrated.
Leaders: Shelley Correll, David Pedulla, Cecilia Ridgeway
The Poverty and Discrimination RG is charged with developing a regularized protocol for measuring the amount and extent of discrimination in labor and housing markets. It is increasingly clear that labor market discrimination, far from withering away, remains very prominent for many statuses and in many types of markets. However, because this research tradition is based on “one-off” audit studies and laboratory experiments, it is not possible to compare across studies and assess which types of discrimination are the most important or the most resistant to change. There is accordingly a need to build a standardized protocol for monitoring trends in discrimination across the various types of discrimination in play (e.g., poverty status, employment status, homelessness, economic background, race, ethnicity, sexual orientation, incarceration status, citizenship, religion, disability). The twofold objective of this protocol is to make it possible to assess which types of discrimination are especially prominent and which types are growing weaker or stronger over time.
All - CPI Research
|Mobility Report Cards: The Role of Colleges in Intergenerational Mobility||Raj Chetty, John N. Friedman, Emmanuel Saez, Nicholas Turner, Danny Yagan||
Mobility Report Cards: The Role of Colleges in Intergenerational MobilityAuthor: Raj Chetty, John N. Friedman, Emmanuel Saez, Nicholas Turner, Danny Yagan
We characterize rates of intergenerational income mobility at each college in the United States using administrative data for over 30 million college students from 1999-2013. We document four results. First, access to colleges varies greatly by parent income. For example, children whose parents are in the top 1% of the income distribution are 77 times more likely to attend an Ivy League college than those whose parents are in the bottom income quintile. Second, children from low and high-income families have very similar earnings outcomes conditional on the college they attend, indicating that there is little mismatch of low socioeconomic status students to selective colleges. Third, upward mobility rates – measured, for instance, by the fraction of students who come from families in the bottom income quintile and reach the top quintile – vary substantially across colleges. Much of this variation is driven by differences in the fraction of students from low-income families across colleges whose students have similar earnings outcomes. Mid-tier public universities such as the City University of New York and California State colleges tend to have the highest rates of bottom-to-top quintile mobility. Elite private colleges, such as Ivy League universities, have the highest rates of upper-tail (e.g., bottom quintile to top 1%) mobility. Finally, between the 1980 and 1991 birth cohorts, the fraction of students from bottom-quintile families fell sharply at colleges with high rates of bottom-to-topquintile mobility, and did not change substantially at elite private institutions. Although our descriptive analysis does not identify colleges’ causal effects on students’ outcomes, the publicly available statistics constructed here highlight colleges that deserve further study as potential engines of upward mobility.
|Using Tax Policy to Address Economic Need: An Assessment of California’s New State EITC||Christopher Wimer, Marybeth Mattingly, Sara Kimberlin, Jonathan Fisher, Caroline Danielson, Sarah Bohn||
Using Tax Policy to Address Economic Need: An Assessment of California’s New State EITCAuthor: Christopher Wimer, Marybeth Mattingly, Sara Kimberlin, Jonathan Fisher, Caroline Danielson, Sarah Bohn
Publisher: Stanford Center on Poverty and Inequality
This policy brief provides estimates of the number of tax filers who qualify for the new California EITC and the amounts they will receive. It does so by modeling the California EITC as if it had been implemented in tax year 2013. We find that an estimated 614,000 tax filers and their family members (1.97 million individuals) could benefit from the credit. We then examine the extent to which such a credit might reduce poverty and narrow poverty gaps among recipients and their family members. An estimated 364,000 of the 2.20 million individuals living in deep poverty (as measured under the California Poverty Measure) are eligible for the state EITC, with an average family benefit of $464. Roughly 1.4 percent of California’s deep poverty population (about 16,000 adults and 15,000 children) would be moved out of deep poverty if they made use of the state credit. Finally, we compare the enacted policy to other potential program expansions in terms of cost, reach, average benefit, and poverty reduction.
|The Fading American Dream: Trends in Absolute Income Mobility Since 1940||Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, Jimmy Narang||
The Fading American Dream: Trends in Absolute Income Mobility Since 1940Author: Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, Jimmy Narang
We estimate rates of “absolute income mobility” – the fraction of children who earn more than their parents – by combining historical data from Census and CPS cross-sections with panel data for recent birth cohorts from de-identified tax records. Our approach overcomes the key data limitation that has hampered research on trends in intergenerational mobility: the lack of large panel datasets linking parents and children. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. The result that absolute mobility has fallen sharply over the past half century is robust to the choice of price deflator, the definition of income, and accounting for taxes and transfers. In counterfactual simulations, we find that increasing GDP growth rates alone cannot restore absolute mobility to the rates experienced by children born in the 1940s. In contrast, changing the distribution of growth across income groups to the more equal distribution experienced by the 1940 birth cohort would reverse more than 70% of the decline in mobility. These results imply that reviving the “American Dream” of high rates of absolute mobility would require economic growth that is spread more broadly across the income distribution.
|Polluting Black Space||Bonam, Courtney M., Bergsieker, Hilary B., Eberhardt, Jennifer L.||
Polluting Black SpaceAuthor: Bonam, Courtney M., Bergsieker, Hilary B., Eberhardt, Jennifer L.
Publisher: American Psychological Association
Social psychologists have long demonstrated that people are stereotyped on the basis of race. Researchers have conducted extensive experimental studies on the negative stereotypes associated with Black Americans in particular. Across 4 studies, we demonstrate that the physical spaces associated with Black Americans are also subject to negative racial stereotypes. Such spaces, for example, are perceived as impoverished, crime-ridden, and dirty (Study 1). Moreover, these space-focused stereotypes can powerfully influence how connected people feel to a space (Studies 2a, 2b, and 3), how they evaluate that space (Studies 2a and 2b), and how they protect that space from harm (Study 3). Indeed, processes related to space-focused stereotypes may contribute to social problems across a range of domains—from racial disparities in wealth to the overexposure of Blacks to environmental pollution. Together, the present studies broaden the scope of traditional stereotyping research and highlight promising new directions.
|Inequality and Mobility Using Income, Consumption, and Wealth for the Same Individuals||Jonathan Fisher, David Johnson, Jonathan P. Latner, Timothy Smeeding, Jeffrey Thompson||
Inequality and Mobility Using Income, Consumption, and Wealth for the Same IndividualsAuthor: Jonathan Fisher, David Johnson, Jonathan P. Latner, Timothy Smeeding, Jeffrey Thompson
Recent studies of economic inequality almost always separately examine income inequality, consumption inequality, and wealth inequality, and hence, these studies miss the important synergy between the three measures explicit in the life-cycle budget constraint. Using the Panel Study of Income Dynamics (PSID), we study inequality in three dimensions, focusing on the conjoint distributions of income, consumption, and wealth for the same individuals. We find that the trends in inequality in income, consumption, and wealth similarly increase between 1999 and 2013. We examine the pairwise distributions of our measures using the average propensity to consume and the wealth-income ratios. Using the longitudinal nature of the PSID, we follow people over this period and find mobility is similar using income, consumption, and wealth. We conclude that while all three types of inequality are rising, wealth increasingly acts as a buffer to cushion income changes, which could reduce mobility—both intra- and inter-generational mobility.
- 1 of 173
- next ›
All - CPI Affiliates
|Beth Mattingly||Race, Ethnicity, and Immigration Research Group Leader; Research Consultant||Stanford Center on Poverty and Inequality|
|Arnold Milstein||Life Course Research Group Leader; Professor of Medicine; Director of Clinical Excellence Research Center||Stanford University|
|C. Matthew Snipp||Race, Ethnicity, and Immigration Research Group Leader; Director of Social Science Secure Data Center; Professor of Sociology||Stanford University|
|Cecilia Ridgeway||Discrimination Research Group Leader; Lucie Stern Professor in the Social Sciences||Stanford University|
|Daniel Lichter||Segregation Research Group Leader; Professor of Sociology; Director of Cornell Population Center||Cornell University|
All - Other Research
|Household Wealth Trends in the United States, 1962 to 2013: What Happened over the Great Recession?||Edward N. Wolff||
Household Wealth Trends in the United States, 1962 to 2013: What Happened over the Great Recession?Author: Edward N. Wolff
I look at wealth trends from 1962 to 2013, particularly for the middle class. Asset prices plunged between 2007 and 2010 but then rebounded from 2010 to 2013. The most telling finding is that median wealth plummeted by 44 percent between 2007 and 2010, almost double the drop in housing prices. Wealth inequality, after almost two decades of little movement, was up sharply from 2007 to 2010. This sharp fall in median net worth and rise in overall wealth inequality are traceable primarily to the high leverage of middle-class families, the high share of homes in their portfolio, and the plunge in house prices. Rather remarkably, median (and mean) wealth did not essentially change from 2010 to 2013 despite the rebound in asset prices. The proximate cause was the high dissavings of the middle class. Wealth inequality also remained largely unchanged.
|Racial Profiling and Use of Force in Police Stops: How Local Events Trigger Periods of Increased Discrimination||Joscha Legewie||
Racial Profiling and Use of Force in Police Stops: How Local Events Trigger Periods of Increased DiscriminationAuthor: Joscha Legewie
Publisher: American Journal of Sociology
Racial profiling and the disproportionate use of police force are controversial political issues. I argue that racial bias in the use of force increases after relevant events such as the shooting of a police officer by a black suspect. To examine this argument, I design a quasi experiment using data from 3.9 million time and geocoded pedestrian stops in New York City. The findings show that two fatal shootings of police officers by black suspects increased the use of police force against blacks substantially in the days after the shootings. The use of force against whites and Hispanics, however, remained unchanged, and there is no evidence for an effect of two other police murders by a white and Hispanic suspect. Aside from the importance for the debate on racial profiling and police use of force, this research reveals a general set of processes where events create intergroup conflict, foreground stereotypes, and trigger discriminatory responses.
|And Their Children After Them? The Effect of College on Educational Reproduction||Matthew Lawrence, Richard Breen||
And Their Children After Them? The Effect of College on Educational ReproductionAuthor: Matthew Lawrence, Richard Breen
Publisher: American Journal of Sociology
Conventional analyses of social mobility and status reproduction retrospectively compare an outcome of individuals to a characteristic of their parents. By ignoring the mechanisms of family formation and excluding childless individuals, conventional approaches introduce selection bias into estimates of how characteristics in one generation affect an outcome in the next. The prospective approach introduced here integrates the effects of college on marriage and fertility into the reproduction of educational outcomes. Marginal structural models with inverse probability of treatment weighting are used with data from the Wisconsin Longitudinal Study to estimate the causal effect of pathways linking graduating from college with having a child who graduates from college. Results show that college increases male graduates’ probability of having a child who completes college; for female graduates there is no effect. The gender distinction is largely explained by the negative effects of college on women’s likelihood to marry and have children.
|The Economic and Fiscal Consequences of Immigration||Francine D. Blau, Christopher Mackie||
The Economic and Fiscal Consequences of ImmigrationAuthor: Francine D. Blau, Christopher Mackie
Publisher: National Academies of Sciences, Engineering, and Medicine
More than 40 million people living in the United States were born in other countries, and almost an equal number have at least one foreign-born parent. Together, the first generation (foreign-born) and second generation (children of the foreign-born) comprise almost one in four Americans. It comes as little surprise, then, that many U.S. residents view immigration as a major policy issue facing the nation. Not only does immigration affect the environment in which everyone lives, learns, and works, but it also interacts with nearly every policy area of concern, from jobs and the economy, education, and health care, to federal, state, and local government budgets.
The changing patterns of immigration and the evolving consequences for American society, institutions, and the economy continue to fuel public policy debate that plays out at the national, state, and local levels. The Economic and Fiscal Consequences of Immigration assesses the impact of dynamic immigration processes on economic and fiscal outcomes for the United States, a major destination of world population movements. This report will be a fundamental resource for policy makers and law makers at the federal, state, and local levels but extends to the general public, nongovernmental organizations, the business community, educational institutions, and the research community.
|Intimate Partner Violence in the Great Recession||Antonina Pavlenko||
Intimate Partner Violence in the Great RecessionAuthor: Antonina Pavlenko
Publisher: Russell Sage Foundation
The study revealed that rapid increases in unemployment rates during the Great Recession were associated with increases in men's abusive behavior. This association persisted even after individual and household-level experiences with unemployment and material hardship were controlled for. The authors argue that these results indicate that economic uncertainty plays an important role in relationship dynamics, above and beyond its direct effects on job loss and material hardship.
This brief was published as part of our Recession Trends initiative.
- 1 of 67
- next ›
All - Multimedia
- 1 of 28
- next ›