Publications
Fernando Rios-Avila
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Research Project Reports | March 2024
Integrating Nonmarket Consumption into the Bureau of Labor Statistics Consumer Expenditure Survey
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In spring 2021, under the direction and encouragement of Commissioner William Beach, the US Bureau of Labor Statistics (BLS) kicked off a major initiative—to produce a measure of consumption to supplement the release of consumer expenditures. The production of such a measure would fill a data gap regarding household economic well-being. For years BLS staff, with support from the public, had discussed the possibility of producing a consumption measure. However, it was the experience of COVID-19 and the role of home production for consumption that nudged the Bureau to promote the development of such a measure. To support this new initiative, the BLS sought input from the greater research community and public: first through the organization of a Consumption Symposium; and second through a Request for Information (RFI) that would result in an outside BLS contract. Consumption Symposium speakers included well-known national and international researchers who are expert in various aspects of measurement, including home production; the Symposium was held September 21–22, 2021. In parallel, the RFI was issued in May 2021 with responses received in July 2021. This was followed by Request for Quotation (RFQ) in September 2021. The Levy Institute was awarded the contract with a period of performance of twelve months beginning September 30, 2021.
The following report includes the Levy Institute’s findings in developing an empirical methodology and identifying data sources (including the BLS American Time Use Survey) to extend the consumer expenditure data collected by the BLS (using Consumer Expenditure Surveys) by incorporating household production (nonmarket and nongovernmental services such as do-it-yourself home repairs and childcare). The researchers—Ajit Zacharias, Fernando Rios-Avila, Nancy Folbre, and Thomas Masterson—found that an overwhelming share of home production is provided by women. Distinct from most previous research, this research extends the scope of household production to include supervisory childcare and care received by household members from people outside their household. Estimates are generated for various major components of household production, such as childcare and cooking, rather than a single category. Included are estimates by alternative methods with monetary values of household production. This research represents an extension of the work the Levy Institute has been doing in bringing the realm of household production into economic analysis, including the creation of alternative measures of economic well-being (LIMEW) and poverty (LIMTIP).
During fiscal year 2024, the BLS will be evaluating the methodology proposed in this report with an expectation that a BLS consumption measure that includes home production will be forthcoming in 2025.
The full report can be downloaded here.
Tables and figures from the report can be downloaded here.
Additional detailed information on the quality checks conducted regarding the imputations from the ATUS data can be found here.
The GitHub repository files contain detailed information on the three methods of imputation, weekday and weekend imputations, and results pertaining to each CE file (Interview, Diary, quarter, etc.). These files contain information that we used to check the quality of imputations. Users who want to use a particular method (say statistical matching) and a particular file (say third-quarter Interview sample) can check the quality of imputation for their use with the help of the information available in the repository. In assessing the quality, the users could use the strategy we provide in the report or their own criteria.Associated Program(s):Author(s): -
Research Project Reports | June 2022
Time Use, Employment, and Poverty
There is broad consensus in both research and policy circles that one of the key reasons for a lack of progress in reducing gender gaps in employment and wages is the persistent gender imbalance in unpaid work, three-quarters of which is performed by women. Universal access to quality care services enables the reduction of this unpaid care work through its redistribution from the domestic sphere to the public sphere, with empirical studies from different regions and countries demonstrating that access to services (in particular, childcare services) substantially increases female labor force participation and labor market attachment. Furthermore, a series of recent empirical studies show that access to care also creates new demand for female employment: increasing public spending on care is found to generate two-to-three times the number of new jobs per dollar than spending on sectors such as construction.
This research project report focuses on Mexico and builds on previous studies for Turkey, Ghana, and Tanzania by constructing a combined time-use and income-employment dataset for Mexico to evaluate the net effects a proposed childcare expansion could have on earnings and work hours and their concomitant impact on time and income poverty by gender, with results indicating that the employment creation achieved through increased social care spending reduces gender employment gaps while also helping to alleviate the twin deprivations of time and income poverty.Download:Associated Program(s):The Distribution of Income and Wealth Gender Equality and the Economy The Levy Institute Measure of Time and Income PovertyAuthor(s):
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Research Project Reports | July 2021
Scope and Effects of Reducing Time Deficits via Intrahousehold Redistribution of Household Production
View More View LessEvidence from sub-Saharan Africa
Gender disparity in the division of responsibilities for unpaid care and domestic work (household production) is a central and pervasive component of inequalities between men and women and boys and girls. Reducing disparity in household production figures as one element of the goal of gender equality enshrined in the United Nations’ Sustainable Development Goals (SDGs) and feminist scholars and political activists have articulated that the redistribution of household production responsibilities from females to males is important for its own sake, as well as for achieving gender equality in labor market outcomes. A cursory examination of available cross-country data indicates that higher per capita GDP—the neoliberal panacea for most societal malaise—provides little bulwark against the gender inequality in household production.
Ajit Zacharias, Thomas Masterson, Fernando Rios-Avila, and Abena D. Oduro contribute to the literature on the intrahousehold distribution of household production by placing the question within a framework of analyzing deprivation, applying that framework to better understand the interactions between poverty and the gendered division of labor in four sub-Saharan African nations: Ethiopia, Ghana, South Africa, and Tanzania. Central to their framework is the notion that attaining a minimal standard of living requires command over an adequate basket of commodities and sufficient time to be spent on home production, where meeting those requirements produces benefits for all—including those beyond the household.
Their findings motivate questions regarding the feasibility and effectiveness of redistribution of household responsibilities to alleviate time deficits and their impoverishing effects. By developing a framework to assess the mechanics of redistribution among family members and applying it to gender-based redistribution, they derive the maximum extent to which redistribution—either among all family members, between sexes, or between husbands and wives—can lower the incidence of time deficits. The conclude with a discussion of alternative principles of distributing household production responsibilities among family members and examine their impact on the Levy Institute Measure of Time and Income Poverty (LIMTCP) and discuss some policy questions in light of their findings.Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 983 | February 2021
A Comparative Analysis for Sub-Saharan African Countries
In this working paper, we analyze factors that may explain gender differences in the allocation of time to household production in sub-Saharan Africa. The study uses time use survey data to analyze the determinants of time spent on household production by husbands and wives in nuclear families in Ethiopia, Ghana, Tanzania, and South Africa. We assume that the time spent by each spouse is a function of personal and household characteristics. A bivariate Tobit model is used to estimate the marginal impact of a set of key variables that figure recurrently in the literature on time allocation. We observe a high degree of variability in the results for the set of countries, which does not allow us to draw hard general conclusions. We do find some weak evidence that supports time availability and gender ideology theory as well as for the hypothesis that bargaining power plays a role in explaining the intrahousehold allocation of household production.Download:Associated Program(s):Author(s):Related Topic(s): -
Working Paper No. 970 | September 2020
Quality of Match for Statistical Matches Used in the Development of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Ethiopia and South Africa
View More View LessThis paper presents a description of the quality of match of the statistical matches used in the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) estimates prepared for Ethiopia and South Africa. For Ethiopia, the statistical match combines the Ethiopian Socio-economic Survey—Wave 3—2015/2016 (ESS) with the Ethiopian Time Use Survey (ETUS) 2013. For South Africa it combines the October Household Survey (OHS) 1998 with the time use data obtained from the SA-Time Use Survey (SATUS) 2000, and the South African Living Conditions Survey (SALCS) 2014/2015 with the SATUS 2010. In all cases, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Despite the differences in the survey years, the quality of match for South Africa is high and the synthetic dataset appropriate for the time poverty analysis. For Ethiopia, due to data quality differences, we restrict the analysis to married couple households with an employed spouse and young children. Conditioning on the restriction and sample reweighting, the Ethiopian synthetic dataset seems appropriate for the time poverty analysis.Download:Associated Program:Author(s):Related Topic(s): -
Public Policy Brief No. 149 | April 2020The costs of the COVID-19 pandemic—in terms of both the health risks and economic burdens—will be borne disproportionately by the most vulnerable segments of US society. In this public policy brief, Luiza Nassif-Pires, Laura de Lima Xavier, Thomas Masterson, Michalis Nikiforos, and Fernando Rios-Avila demonstrate that the COVID-19 crisis is likely to widen already-worrisome levels of income, racial, and gender inequality in the United States. Minority and low-income populations are more likely to develop severe infections that can lead to hospitalization and death due to COVID-19; they are also more likely to experience job losses and declines in their well-being.
The authors argue that our policy response to the COVID-19 crisis must target these unequally shared burdens—and that a failure to mitigate the regressive impact of the crisis will not only be unjust, it will prolong the pandemic and undermine any ensuing economic recovery efforts. As the authors note, we are in danger of falling victim to a vicious cycle: the pandemic and economic lockdown will worsen inequality; and these inequalities exacerbate the spread of the virus, not to mention further weaken the structure of the US economy.Download:Associated Program(s):Author(s):Related Topic(s): -
Working Paper No. 943 | January 2020Whether China’s low fertility rate is the consequence of the country’s strict population control policy is a puzzling question. This paper attempts to disentangle the Chinese population control policy’s impacts on the fertility rate from socioeconomic factors using the synthetic control method proposed by Abadie and Gardeazabal (2003). The results indicate that the population control policy significantly decreased China’s birth rate after the “Later, Longer, and Fewer” policy came into force, but had little effect on the birth rate in the long run. We estimate that between 164.2 million and 268.3 million prevented births from 1971 to 2016 can be attributed to the Chinese population control policy. In addition, we implement a placebo study to check the validity of the method and confirm the robustness of the paper’s conclusions.Download:Associated Program:Author(s):Related Topic(s):
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Research Project Reports | September 2019
Macroeconomic and Microeconomic Impacts of Improving Physical and Social Infrastructure
View More View LessA Macro-Micro Policy Model for Ghana and Tanzania
Feminist economics has long emphasized the role of physical and social infrastructure as determinants of the time women spend on household production (the provision of unpaid domestic services and care). Surprisingly, there is a lack of studies that directly investigate how infrastructure improvements affect the time spent on household production and commuting to work, which is another important unpaid activity for most employed individuals. We attempt to fill the lacunae in the research by studying this issue in the context of Ghana and Tanzania utilizing the framework of the Levy Institute Measure of Time and Income Poverty. Separately, while there are several studies (including those done previously at the Levy Institute) on the macroeconomic impacts of government expenditures on care, these assessments tend to be based primarily on employment multipliers along with simple macroeconomic assumptions. We develop a disaggregated and fully articulated macroeconomic model based on the social accounting matrices for the two countries to take account of the intersectoral linkages and external constraints, such as balance of payments, that are particularly important for many developing nations, including Ghana and Tanzania. The macro- and microeconomic aspects are integrated in a unified analytical framework via a top-down disaggregated macroeconomic model with microsimulation that is novel in that it enables the investigation of the gendered economic processes and outcomes at the macroeconomic and microeconomic levels.
Download:Associated Program:Author(s):Ajit Zacharias Thomas Masterson Fernando Rios-Avila Michalis Nikiforos Kijong Kim Tamar KhitarishviliRelated Topic(s): -
Working Paper No. 930 | May 2019
A Semi-Parametric Approach to the Oaxaca-Blinder Decomposition with Continuous Group Variable and Self-Selection
View More View LessThis paper describes the application of a semiparametric approach, known as a varying coefficients model (Hastie and Tibshirani 1993), to implement a Oaxaca-Blinder type of decomposition in the presence of self-selection into treatment groups for a continuum of comparison groups. The flexibility of this methodology may allow for detecting heterogeneity of the role of endowment and coefficient effects when analyzing endogenous dose treatments. The methodology is then used to revisit the impact of obesity on wages (Cawley 2004), using body mass index (BMI) as the continuous group variable. The results suggest that body weight does have a negative impact on wages for white women, but the impact decreases for higher BMI levels. For white men, the impact is also negative and significant, but positive for low levels of BMI, which explains why they are not significant in the linear instrumental variables approach.Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 927 | April 2019
Methods for Analyzing the Determinants of Poverty and Inequality
Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools has opened the possibility of extending the analysis to other distributional statistics using linear regressions or decomposition approaches. In this paper, I introduce three Stata commands to facilitate the use of RIFs in the analysis of outcome distributions: rifvar() is an egen extension used to create RIFs for a large set of distributional statistics; rifhdreg facilitates the estimation of RIF regressions, enabling the use of high-dimensional fixed effects; and oaxaca_rif to implement Oaxaca-Blinder type decomposition analysis (RIF decompositions).Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 922 | February 2019
Exploring the Causes and Consequences of Education-Occupation Job Mismatch
With the rapid increase in educational attainment, technological change, and greater job specialization, decisions regarding human capital investment are no longer exclusively about the quantity of education, but rather the type of education to obtain. The skills and knowledge acquired in specific fields of study are more valuable for some jobs compared to others, which suggests the existence of differences in the quality of the education-occupation match in the labor market. With this premise in mind, this paper aims to estimate the effect of the quality of this education-occupation job match on workers’ wages and to explore the factors that contribute to the existence of such mismatch among workers with higher education (college or more). Using data from the American Community Survey 2010–16, we construct two indices that measure the quality of the education-occupation match: based on the predicted and observed distribution of workers using their fields of education and their jobs’ occupation classification. Results suggest there is a wage gap of around 3–4 percent when comparing workers that have good job matches to those who have bad matches. Given the importance of the penalty for mismatched jobs, we find that structural characteristics such as unemployment, and individual characteristics such as gender, race, immigration status, and even homeownership affect the quality of horizontal mismatch as well.Download:Associated Program:Author(s):Fernando Rios-Avila Fabiola Saavedra CaballeroRelated Topic(s): -
One-Pager No. 57 | September 2018The Levy Institute Measure of Economic Well-Being (LIMEW) was designed to provide a more comprehensive understanding of the changes affecting household living standards. Ajit Zacharias, Thomas Masterson, and Fernando Rios-Avila summarize their latest research on the trends in economic well-being for US households. They reveal historic stagnation in LIMEW growth over the 2000–13 period, as well as a major shift in the composition of well-being. The post-2000 period can be characterized as one of a growing dependence on the government to sustain living standards, with rising net government expenditures offsetting a sharp drop in base income.Download:Associated Program(s):Author(s):Related Topic(s):
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Working Paper No. 914 | September 2018
Quality of Match for Statistical Matches Using the American Time Use Survey 2013, the Survey of Consumer Finances 2013, and the Annual Social and Economic Supplement 2014
View More View LessThis paper describes the quality of the statistical matching between the March 2014 supplement to the Current Population Survey (CPS) and the 2013 American Time Use Survey (ATUS) and Survey of Consumer Finances (SCF), which are used as the basis for the 2013 Levy Institute Measure of Economic Well-Being (LIMEW) estimates for the United States. In the first part of the paper, the alignment of the datasets is examined. In the second, various aspects of the match quality are described. The results indicate that the matches are of high quality, with some indication of bias in specific cases.Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 912 | August 2018
The Sources and Methods Used in the Creation of the Levy Institute Measure of Economic Well-Being for the United States, 1959–2013
View More View LessThis paper documents the sources of data used in the construction of the estimates of the Levy Institute Measure of Economic Wellbeing (LIMEW) for the years 1959, 1972, 1982, 1989, 1992, 1995, 2000, 2001, 2004, 2007, 2010, and 2013. It also documents the methods used to combine the various sources of data into the synthetic dataset used to produce each year’s LIMEW estimates.Download:Associated Program:Author(s):Related Topic(s): -
Public Policy Brief No. 146 | August 2018
Post-2000 Trends in the United States
Ajit Zacharias, Thomas Masterson, and Fernando Rios-Avila update the Levy Institute Measure of Economic Well-Being (LIMEW) for US households for the period 2000–13. The LIMEW—which comprises base income, income from wealth, net government expenditures, and the value of household production—is aimed at achieving a more comprehensive understanding of trends in living standards. This policy brief analyzes developments during this period at all levels of the LIMEW distribution, with a particular focus on the significant role played by net government expenditures. The overall trend for 2000–13 was one of historic stagnation in the growth of economic well-being for US households, but an examination of the different components of the measure reveals significant shifts taking place behind this headline trend.
A companion document, the Supplemental Tables, features additional data referenced in the policy brief.
Details about the sources of data and methods used to construct the estimates in this policy brief are discussed in Levy Institute Working Paper No. 912.Download:Associated Program(s):Author(s):Related Topic(s): -
Research Project Reports | August 2018
The Levy Institute Measure of Time and Consumption Poverty
Time constraints that stem from the overlapping domains of paid and unpaid work are of central concern to the debates surrounding the economic development of developing countries in general and countries of sub-Saharan Africa in particular. Time deficits due to household production are especially acute in these countries due to the poor state of social and physical infrastructure, which constrains the time allocation people can choose.
Standard measures of poverty fail to capture hardships caused by time deficits. This report applies a methodological approach that incorporates time deficits into the measurement of poverty, known as the Levy Institute Measure of Time and Consumption Poverty (LIMTCP), to the cases of Ghana and Tanzania. The LIMTCP explicitly recognizes the role of time constraints and, as such, has the potential to meaningfully inform the design of policies aimed at poverty reduction and improvement of individual and household well-being. The analysis of simulation exercises assessing the impact of paid employment provision on official and LIMTCP poverty rates has strong implications for policies aimed at poverty reduction, emphasizing the need to account for alleviating not only income but also time constraints. It also has strong gender relevance, as time poverty is more relevant for women due to their disproportionate burden of household responsibilities. Our study argues that policies aimed at improving women’s labor market outcomes can also succeed at improving their well-being only if time constraints are addressed.Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 880 | January 2017
Evidence from Measures of Economic Well-Being
The Great Recession had a tremendous impact on low-income Americans, in particular black and Latino Americans. The losses in terms of employment and earnings are matched only by the losses in terms of real wealth. In many ways, however, these losses are merely a continuation of trends that have been unfolding for more than two decades. We examine the changes in overall economic well-being and inequality as well as changes in racial economic inequality over the Great Recession, using the period from 1989 to 2007 for historical context. We find that while racial inequality increased from 1989 to 2010, during the Great Recession racial inequality in terms of the Levy Institute Measure of Economic Well-Being (LIMEW) decreased. We find that changes in base income, taxes, and income from nonhome wealth during the Great Recession produced declines in overall inequality, while only taxes reduced between-group racial inequality.
Download:Associated Program(s):The Distribution of Income and Wealth Gender Equality and the Economy The State of the US and World EconomiesAuthor(s):Related Topic(s): -
Working Paper No. 873 | September 2016
Quality of Match for Statistical Matches Used in the Development of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Ghana and Tanzania
View More View LessThis document presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ghana and Tanzania. For Ghana, the statistical match combines the Living Standards Survey Round 6 (GLSS6) with the Ghana Time Use Survey (GTUS) 2009, and for Tanzania it combines the Household Budget Survey (THBS) 2012 with the time-use data obtained from the Integrated Labor Survey Module (ILFS) 2006. In both cases, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Despite the differences in the survey years, the quality of match is high and the synthetic dataset appropriate for the time poverty analysis.
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Working Paper No. 871 | August 2016
Simulations of Employment for Individuals in LIMTCP Consumption-poor Households in Tanzania and Ghana, 2012
View More View LessNew methodology for producing employment microsimulations is introduced, with a focus on farms and household nonfarm enterprises. Previous simulations have not dealt with the issue of reduced production in farm and nonfarm household enterprises when household members are placed in paid employment. In this paper, we present a method for addressing the tradeoff between paid employment and the farm and nonfarm business activities individuals may already be engaged in. The implementation of the simulations for Ghana and Tanzania is described and the quality of the simulation results is assessed.
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Policy Note 2016/3 | August 2016In this policy note, Research Scholar Fernando Rios-Avila and Gustavo Canavire-Bacarreza, Universidad EAFIT, observe that immigration in the United States has a small but statistically significant impact on the labor market behavior of native-born unemployed workers. Their chances of transitioning from unemployment to employment are not affected by the share of immigrants in their job markets, but the native-born unemployed are more likely to leave the labor force when living in areas with a higher relative concentration of immigrants. Three additional results of the study shed light on what might be contributing to this higher rate of labor market exit, with each pointing to the potential role of expectations in creating a discouraged worker effect among the native-born unemployed in high-immigration states.Download:Associated Program(s):Author(s):Fernando Rios-Avila Gustavo Canavire-BacarrezaRelated Topic(s):
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Working Paper No. 870 | August 2016
The Effect of Immigration on Unemployment Transitions of Native-born Workers in the United States
Although one would expect the unemployed to be the population most likely affected by immigration, most of the studies have concentrated on investigating the effects immigration has on the employed population. Little is known of the effects of immigration on labor market transitions out of unemployment. Using the basic monthly Current Population Survey from 2001–13 we match data for individuals who were interviewed in two consecutive months and identify workers who transition out of unemployment. We employ a multinomial model to examine the effects of immigration on the transition out of unemployment, using state-level immigration statistics. The results suggest that immigration does not affect the probabilities of native-born workers finding a job. Instead, we find that immigration is associated with smaller probabilities of remaining unemployed, but it is also associated with higher probabilities of workers leaving the labor force. This effect impacts mostly young and less educated people.
Download:Associated Program(s):Author(s):Fernando Rios-Avila Gustavo Canavire-BacarrezaRelated Topic(s): -
Policy Note 2015/7 | November 2015
Demographic Trends in US Labor Force Participation
US labor force participation has continued to fall in the wake of the Great Recession. Improvements in the US unemployment rate reflect the fact that more people are falling out of the labor force, not a stronger labor market. Controlling for changes in the demographic makeup of the workforce (i.e., gender, age, education, and race), Research Scholar Fernando Rios-Avila investigates trends in labor force participation across and within groups between 1989 and 2013. He finds that not all groups have lost ground equally, while participation rates for some groups have actually increased. Understanding these patterns in labor force participation is a necessary first step toward crafting effective policy responses.
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Working Paper No. 836 | April 2015
Direct Estimates of Food and Eating Production Function Parameters for 2004–12 Using an ATUS/CE Synthetic Dataset
View More View LessThis paper evaluates the presence of heterogeneity, by household type, in the elasticity of substitution between food expenditures and time and in the goods intensity parameter in the household food and eating production functions. We use a synthetic dataset constructed by statistically matching the American Time Use Survey and the Consumer Expenditure Survey. We establish the presence of heterogeneity in the elasticity of substitution and in the intensity parameter. We find that the elasticity of substitution is low for all household types.
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Working Paper No. 835 | March 2015
In recent years, Bolivia has experienced a series of economic and political transformations that have directly affected the labor markets, particularly the salaried urban sector. Real wages have shown strong increases across the distribution, while also presenting a decrease in inequality. Using an intertemporal decomposition approach, we find evidence that changes in demographic and labor market characteristics can explain only a small portion of the observed inequality decline. Instead, the results indicate that the decline in wage inequality was driven by the faster wage growth of usually low-paid jobs, and wage stagnation of jobs that require higher education or are in traditionally highly paid fields. While the evidence shows that the reduction in inequality is significant, we suggest that such an improvement might not be sustainable in the long run, since structural factors associated with productivity, such as workers’ level of education, explain only a small portion of these wage changes.
Download:Associated Program:Author(s):Gustavo Canavire-Bacarreza Fernando Rios-AvilaRelated Topic(s): -
Policy Note 2015/3 | March 2015
From Bad to Worse
In a recent policy note (A Decade of Flat Wages?) we examined wage trends since 1994, and found that while wages grew between 1994 and 2002, average real wages stagnated or declined after 2002–03. Our latest study provides a more detailed analysis of wage trends for wage-level, age, and education groups, with emphasis on the periods following the 2001 and 2007–09 recessions.There was a more or less cohesive evolution of wages among different groups until 2002–03. However, after controlling for structural changes in the labor force, wages diverged sharply in the years that followed for different age, education, and wage groups, with the majority of workers experiencing real declines in their wages. This was not a short-term decline among a few numerically insignificant groups. Nearly two-thirds of all full-time wage earners have less than a four-year college degree and saw their wages decline compared to peak wages in 2002. Workers aged 44 and younger, representing slightly more than 38 million full-time wage earners or 71.4 percent of all full-time wage earners in the United States, also experienced a large reduction in cumulative wage growth after 2002. In terms of wage groups, the bottom 75 percent of full-time workers saw a decline in real wages, while those at the top of the wage distribution saw their wages rise—clear evidence of increasing wage inequality.Given the downward trend in real wages for the majority of full-time wage earners since 2009, it should come as no surprise that recovery from the Great Recession has been weak. In the absence of an employer-of-last-resort policy, federal and state policy must focus its efforts on increasing wages through measures such as progressive tax policy, raising the minimum wage, ensuring overtime pay laws are enforced, and creating opportunities for the most vulnerable workers.Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 830 | January 2015
Quality of Match for Statistical Matches Using the Consumer Expenditure Survey 2011 and Annual Social Economic Supplement 2011
View More View LessThis paper describes the quality of the statistical match between the Current Population Survey (CPS) March 2011 supplement and the Consumer Expenditure Survey (CEX) 2011, which are used for the integrated inequality assessment model for the United States. In the first part of this paper, the alignment of the datasets is examined. In the second, various aspects of the match quality are described. The results show appropriate balance across different characteristics, with some imbalances within narrow characteristics.
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Policy Note 2014/4 | June 2014In the late 1990s low unemployment rates, increases in the minimum wage, and improvements in labor productivity contributed to a boost in wages, which translated into 12.4 percent cumulative growth in real wages from the late ‘90s until 2002. Real wages then stagnated despite continued growth in labor productivity. This period between 2002 and 2013 has become known as the decade of flat wages. However, over the same period there were significant changes in the composition of the labor market. In particular, the labor force has aged and become more educated. Increases in age, experience, and education could in fact be propping up observed real wages—meaning that wages of workers with a specific age and education profile may have actually declined over the decade. This is exactly what we uncover in this policy note: what appears to have been a decade of flat real wages was actually a decade of declining real wages within age/education worker profiles.
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Working Paper No. 798 | May 2014
Quality of Match for Statistical Matches Using the American Time Use Survey 2010, the Survey of Consumer Finances 2010, and the Annual Social and Economic Supplement 2011
View More View LessThis paper describes the quality of the statistical matching between the March 2011 supplement to the Current Population Survey and the 2010 American Time Use Survey and Survey of Consumer Finances, which are used as the basis for the 2010 LIMEW estimates for the United States. In the first part of the paper, the alignment of the datasets is examined. In the second, various aspects of the match quality are described. The results indicate that the matches are of high quality, with some indication of bias in specific cases.
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Working Paper No. 787 | January 2014
Case Studies from Latin America
This paper analyzes the economic impact of unions on productivity in the manufacturing sector across six Latin American countries: Argentina, Bolivia, Chile, Mexico, Panama, and Uruguay. Using an augmented Cobb-Douglas production function, the paper finds that unions have positive, but mostly small, effects on productivity, with the exception of Argentina, with a large negative effect, and Bolivia, with no effect. An analysis on profitability shows that, in most cases, the positive productivity effects barely offset higher union compensation, and that unions are negatively related to investment in capital and R & D. Different explanations for these effects are discussed.
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Working Paper No. 782 | December 2013
In this paper an alternative approach for the estimation of higher-order linear fixed-effects models is described. The strategy relies on the transformation of the data prior to calculating estimations of the model. While the approach is computationally intensive, the hardware requirements for the estimation process are minimal, allowing for the estimation of models with more than two high-order fixed effects for large datasets. An illustration of the implementation is presented using the US Census Bureau Current Population Survey data with four fixed effects.
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