Previous research has repeatedly found a puzzling one-time drop in the mean and median of consumption at retirement, contrary to the predictions of the life-cycle hypothesis. However, very little is known as to whether these effects vary across the consumption distribution. This study expands upon the previous work by examining changes in the consumption distribution between the non-retired and the retired using quantile regression techniques on pseudo-cohorts from the cross-sectional data of the 1990-2007 Consumer Expenditure Survey. The results indicate that there are insignificant changes between these groups at the lower end of the consumption distribution, while there are significant decreases at the higher end of this distribution. In addition, these changes in the distribution are gradually larger in magnitude when moving from the lower end to the higher end, which is found using several different measures of consumption. Work-related expenditures are instead shown to decrease uniformly across the consumption distribution. This evidence reveals that there is a progressive distributional component to the retirement consumption puzzle.
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The Effects of Smoking in Young Adulthood on Smoking and Health Later in Life: Evidence Based on the Vietnam Era Draft Lottery
September 2008
Working Paper Number:
CES-08-35
An important, unresolved question for health policymakers and consumers is whether cigarette smoking in young adulthood has significant lasting effects into later adulthood. The Vietnam era draft lottery offers an opportunity to address this question, because it randomly assigned young men to be more likely to experience conditions favoring cigarette consumption, including highly subsidized prices. Using this natural experiment, we find that military service increased the probability of smoking by 35 percentage points as of 1978-80, when men in the relevant cohorts were aged 25-30, but later in adulthood this effect was substantially attenuated and did not lead to large negative health effects.
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The EITC and Intergenerational Mobility
November 2020
Working Paper Number:
CES-20-35
We study how the largest federal tax-based policy intended to promote work and increase incomes among the poor'the Earned Income Tax Credit (EITC)'affects the socioeconomic standing of children who grew up in households affected by the policy. Using the universe of tax filer records for children linked to their parents, matched with demographic and household information from the decennial Census and American Community Survey data, we exploit exogenous differences by children's ages in the births and 'aging out' of siblings to assess the effect of EITC generosity on child outcomes. We focus on assessing mobility in the child income distribution, conditional on the parents' position in the parental income distribution. Our findings suggest significant and mostly positive effects of more generous EITC refunds on the next generation that vary substantially depending on the child's household type (single-mother or married family) and by the child's gender. All children except White children from single-mother households experience increases in cohort-specific income rank, own family income, and the probability of working at ages 25'26 in response to greater EITC generosity. Children from married households show a considerably stronger response on these measures than do children from single-mother households. Because of the concentration of family types within race groups, the more positive response among children from married households suggests the EITC might lead to higher within-generation racial income inequality. Finally, we examine how the impact of EITC generosity varies by the age at which children are exposed to higher benefits. These results suggest that children who first receive the more generous two-child treatment at later ages have a stronger positive response in terms of rank and family income than children exposed at younger ages.
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Interactions, Neighborhood Selection, and Housing Demand
August 2002
Working Paper Number:
CES-02-19
This paper contributes to the growing literature that identifies and measures the impact of social context on individual economic behavior. We develop a model of housing demand with neighborhood e'ects and neighborhood choice. Modelling neighborhood choice is of fundamental importance in estimating and understanding endogenous and exogenous neighborhood effects. That is, to obtain unbiased estimates of neighborhood effects, it is necessary to control for non-random sorting into neighborhoods. Estimation of the model exploits a unique data set of household data that has been augmented with contextual information at two di'erent levels ('scales') of aggregation. One is at the neighborhood cluster level, of about ten neighbors, with the data coming from a special sample of the American Housing Survey. A second level is the census tract to which these dwelling units belong. Tract-level data are available in the Summary Tape Files of the decennial Census data. We merge these two data sets by gaining access to confidential data of the U.S. Bureau of the Census. We overcome some limitations of these data by implementing some significant methodological advances in estimating discrete choice models. Our results for the neighborhood choice model indicate that individuals prefer to live near others like themselves. This can perpetuate income inequality since those with the best opportunities at economic success will cluster together. The results for the housing demand equation are similar to those in our earlier work [Ioannides and Zabel (2000] where we find evidence of significant endogenous and contextual neighborhood effects.
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Who's Most Exposed to International Shocks? Estimating Differences in Import Price Sensitivity across U.S. Demographic Groups
March 2023
Working Paper Number:
CES-23-13R
Differences in consumption patterns across demographic groups mean that international price shocks differentially affect such groups. We construct import price indexes for U.S. households that vary by age, race, marital status, education, and urban status. Black households and urban households experienced significantly higher import price inflation from 1996-2018 compared to other groups, such as white households and rural households. Sensitivity to international price shocks varies widely, implying movements in exchange rates and foreign prices, both during our sample and during the Covid-19 pandemic, drove sizable differences in import price inflation ' and total inflation ' across households.
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A METHOD OF CORRECTING FOR MISREPORTING APPLIED TO THE FOOD STAMP PROGRAM
May 2013
Working Paper Number:
CES-13-28
Survey misreporting is known to be pervasive and bias common statistical analyses. In this paper, I first use administrative data on SNAP receipt and amounts linked to American Community Survey data from New York State to show that survey data can misrepresent the program in important ways. For example, more than 1.4 billion dollars received are not reported in New York State alone. 46 percent of dollars received by house- holds with annual income above the poverty line are not reported in the survey data, while only 19 percent are missing below the poverty line. Standard corrections for measurement error cannot remove these biases. I then develop a method to obtain consistent estimates by combining parameter estimates from the linked data with publicly available data. This conditional density method recovers the correct estimates using public use data only, which solves the problem that access to linked administrative data is usually restricted. I examine the degree to which this approach can be used to extrapolate across time and geography, in order to solve the problem that validation data is often based on a convenience sample. I present evidence from within New York State that the extent of heterogeneity is small enough to make extrapolation work well across both time and geography. Extrapolation to the entire U.S. yields substantive differences to survey data and reduces deviations from official aggregates by a factor of 4 to 9 compared to survey aggregates.
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The Distributional Effects of Minimum Wages: Evidence from Linked Survey and Administrative Data
March 2018
Working Paper Number:
carra-2018-02
States and localities are increasingly experimenting with higher minimum wages in response to rising income inequality and stagnant economic mobility, but commonly used public datasets offer limited opportunities to evaluate the extent to which such changes affect earnings growth. We use administrative earnings data from the Social Security Administration linked to the Current Population Survey to overcome important limitations of public data and estimate effects of the minimum wage on growth incidence curves and income mobility profiles, providing insight into how cross-sectional effects of the minimum wage on earnings persist over time. Under both approaches, we find that raising the minimum wage increases earnings growth at the bottom of the distribution, and those effects persist and indeed grow in magnitude over several years. This finding is robust to a variety of specifications, including alternatives commonly used in the literature on employment effects of the minimum wage. Instrumental variables and subsample analyses indicate that geographic mobility likely contributes to the effects we identify. Extrapolating from our estimates suggests that a minimum wage increase comparable in magnitude to the increase experienced in Seattle between 2013 and 2016 would have blunted some, but not nearly all, of the worst income losses suffered at the bottom of the income distribution during the Great Recession.
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Within and Across County Variation in SNAP Misreporting: Evidence from Linked ACS and Administrative Records
July 2014
Working Paper Number:
carra-2014-05
This paper examines sub-state spatial and temporal variation in misreporting of participation in the Supplemental Nutrition Assistance Program (SNAP) using several years of the American Community Survey linked to SNAP administrative records from New York (2008-2010) and Texas (2006-2009). I calculate county false-negative (FN) and false-positive (FP) rates for each year of observation and find that, within a given state and year, there is substantial heterogeneity in FN rates across counties. In addition, I find evidence that FN rates (but not FP rates) persist over time within counties. This persistence in FN rates is strongest among more populous counties, suggesting that when noise from sampling variation is not an issue, some counties have consistently high FN rates while others have consistently low FN rates. This finding is important for understanding how misreporting might bias estimates of sub-state SNAP participation rates, changes in those participation rates, and effects of program participation. This presentation was given at the CARRA Seminar, June 27, 2013
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'Oh, Give Me a Home (Trade Share)': Differential Import Price Inflation and Gains from Trade Across U.S. Households
July 2025
Working Paper Number:
CES-25-47
Consumers are differentially exposed to trade based on their expenditures, but there is little data on how such trade exposure differs across consumer groups and over time. In this paper, we construct 'home trade shares' that vary by age, race, marital status, education, and urban status, and use these to analyze differences in inflation and welfare gains from trade for U.S. demographic groups over the years 1996'2018. We show that over this time period, import prices (inclusive of the effects of taste change) held down overall inflation for all groups. For the typical group, more than a quarter of the gains from trade relative to autarky accrued in our time period. Welfare gains from trade over our time period are largest for rural households, and smallest for Black households. Adding taste change to the typical welfare gains from trade formula boosts the gains for every group relative to the standard formula.
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The Cyclicality of Productivity Dispersion
May 2011
Working Paper Number:
CES-11-15
Using plant-level data, I show that the dispersion of total factor productivity in U.S. durable manufacturing is greater in recessions than in booms. This cyclical property of productivity dispersion is much less pronounced in non-durable manufacturing. In durables, this phenomenon primarily reflects a relatively higher share of unproductive firms in a recession. In order to interpret these findings, I construct a business cycle model where production in durables requires a fixed input. In a boom, when the market price of this fixed input is high, only more productive firms enter and only more productive incumbents survive, which results in a more compressed productivity distribution. The resulting higher average productivity in durables endogenously translates into a lower average relative price of durables. Additionally, my model is consistent with the following business cycle facts: procyclical entry, procyclical aggregate total factor productivity, more procyclicality in durable than non-durable output, procyclical employment and countercyclicality in the relative price of durables and the cross section of stock returns.
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Redistribution in the Current U.S. Social Security System
April 2002
Working Paper Number:
CES-02-09
Because its benefit formula replaces a greater fraction of the lifetime earnings of lower earners than of higher earnings, Social Security is generally thought to be progressive, providing a 'better deal' to low earners in a cohort than to high earners. However, much of the intra-cohort redistribution in the U.S. Social Security system is related to factors other than lifetime income. Social Security transfers income from people with low life expectancies to people with high life expectancies, from single workers and from married couples with substantial earnings by the secondary earner to married one-earner couples, and from people who work for more than 35 years to those who concentrate their earnings in 35 or fewer years. This paper studies the redistribution accomplished in the retirement portion of the current U.S. Social Security system using a microsimulation model built around a match of the 1990 and 1991 Surveys of Income and Program Participation to Social Security administrative earnings and benefit records. The model simulates the distribution of internal rates of returns, net transfers, and lifetime net tax rates from Social Security that would have been received by members of the 1925 to 1929 birth cohorts if they had lived under current Social Security rules for their entire lives. The paper finds that annual income-related transfers from Social Security are only 5 to 9 percent of Social Security benefits paid, or $19 to $34 billion, at 2001 aggregate benefits levels, when taxes and benefits are discounted at the cohort rate of return of 1.29 percent. At higher discount rates, Social Security appears to be more redistributive by some measures, and less redistributive by others. Because much of the redistribution that occurs through Social Security is not related to income, the range of transfers received at a given level of lifetime income is quite wide. For example, 19 percent of individuals in the top lifetime income quintile receive net transfers that are greater than the average transfer for people in the lowest lifetime income quintile.
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