We investigate the source, magnitude, and unevenness of the procyclical forces that shape labor force participation, i.e., the participation cycle, which are important for the implementation of the maximum employment mandate. We show that these forces can be analyzed in real time using a flow decomposition of the changes in the labor force participation rate. The decomposition reveals that the source of the participation cycle is fluctuations in job-loss and job-finding rates, rather than cyclical movements in labor force entry and exit rates. The magnitude of the participation cycle is large. Cyclical downward pressures on employment from participation are two-thirds that of unemployment. Moreover, the participation cycle delays the recovery in employment because it lags the unemployment cycle. It also amplifies the unevenness of the impact of recessions. Groups that see large increases in their unemployment rates also experience more pronounced participation cycles. Despite differences in their magnitudes, the source of the participation cycle is the same for all groups. Application of our method to the COVID-19 Recession suggests that, as of June 2021, the bulk of the drop in the participation rate since the onset of the pandemic is cyclical and that the cyclical recovery in participation likely will trail that of the unemployment rate.
{"title":"Maximum Employment and the Participation Cycle","authors":"B. Hobijn, A. Sahin","doi":"10.3386/w29222","DOIUrl":"https://doi.org/10.3386/w29222","url":null,"abstract":"We investigate the source, magnitude, and unevenness of the procyclical forces that shape labor force participation, i.e., the participation cycle, which are important for the implementation of the maximum employment mandate. We show that these forces can be analyzed in real time using a flow decomposition of the changes in the labor force participation rate. The decomposition reveals that the source of the participation cycle is fluctuations in job-loss and job-finding rates, rather than cyclical movements in labor force entry and exit rates. The magnitude of the participation cycle is large. Cyclical downward pressures on employment from participation are two-thirds that of unemployment. Moreover, the participation cycle delays the recovery in employment because it lags the unemployment cycle. It also amplifies the unevenness of the impact of recessions. Groups that see large increases in their unemployment rates also experience more pronounced participation cycles. Despite differences in their magnitudes, the source of the participation cycle is the same for all groups. Application of our method to the COVID-19 Recession suggests that, as of June 2021, the bulk of the drop in the participation rate since the onset of the pandemic is cyclical and that the cyclical recovery in participation likely will trail that of the unemployment rate.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85324977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Attitudes towards same-sex relationships in the US have changed radically over a relatively short period of time. After remaining fairly constant for over two decades, opinions became more favorable starting in 1992—a presidential election year in which the Democratic and Republican parties took opposing stands over the status of gay people in society. What roles did political parties and their leaders play in this process of cultural change? Using a variety of techniques including machine learning, we show that the partisan opinion gap emerged substantially prior to 1992—in the mid 1980s —and did not increase as a result of the political debates in 1992-'93. Furthermore, we identify people with a college-and-above education as the potential "leaders" of the process of partisan divergence.
{"title":"Gay Politics Goes Mainstream: Democrats, Republicans, and Same-Sex Relationships","authors":"Raquel Fernández, Sahar Parsa","doi":"10.3386/W29062","DOIUrl":"https://doi.org/10.3386/W29062","url":null,"abstract":"Attitudes towards same-sex relationships in the US have changed radically over a relatively short period of time. After remaining fairly constant for over two decades, opinions became more favorable starting in 1992—a presidential election year in which the Democratic and Republican parties took opposing stands over the status of gay people in society. What roles did political parties and their leaders play in this process of cultural change? Using a variety of techniques including machine learning, we show that the partisan opinion gap emerged substantially prior to 1992—in the mid 1980s —and did not increase as a result of the political debates in 1992-'93. Furthermore, we identify people with a college-and-above education as the potential \"leaders\" of the process of partisan divergence.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83028805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pharmaceutical innovation policy involves managing a tradeoff between high prices for new products in the short-term and stronger incentives to develop products for the future. Prior research has documented a causal relationship between market size and pharmaceutical research and development (R&D) activities. The existing literature, however, provides no evidence of how this relationship varies across markets. We investigate whether recent expansions in state Medicaid programs caused an increase in R&D. We find no evidence of a response, potentially a result of Medicaid’s low reimbursement for pharmaceuticals, suggesting low(er) price markets may have different dynamics with respect to innovation policy.
{"title":"Which Markets (Don't) Drive Pharmaceutical Innovation? Evidence From U.S. Medicaid Expansions","authors":"Craig L. Garthwaite, Rebecca M. Sachs, A. Stern","doi":"10.3386/W28755","DOIUrl":"https://doi.org/10.3386/W28755","url":null,"abstract":"Pharmaceutical innovation policy involves managing a tradeoff between high prices for new products in the short-term and stronger incentives to develop products for the future. Prior research has documented a causal relationship between market size and pharmaceutical research and development (R&D) activities. The existing literature, however, provides no evidence of how this relationship varies across markets. We investigate whether recent expansions in state Medicaid programs caused an increase in R&D. We find no evidence of a response, potentially a result of Medicaid’s low reimbursement for pharmaceuticals, suggesting low(er) price markets may have different dynamics with respect to innovation policy.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88048603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We provide a non-parametric characterization of how welfare responds to changes in budget and production possibility sets when preferences are non-homothetic or subject to shocks, in both partial and general equilibrium. We generalize Hulten’s theorem, which is the basis for constructing aggregate quantities, to this context. We identify a new bias in measures of real consumption. This bias depends on the covariance of price changes and expenditure changes due to income effects or preference shocks. We apply our results to long-run and short-run phenomena. In the long-run, we show that structural transformation, if caused by income effects, is roughly twice as important for welfare than what is implied by standard measures of Baumol’s cost disease. In the short-run, we show that when firms’ demand shocks are correlated with their supply shocks, industry-level price and output indices are biased, and this bias does not disappear in the aggregate. Finally, we show that correlated supply and demand shifters make real GDP and aggregate TFP unreliable metrics for measuring production and productivity, and illustrate this using the Covid-19 crisis.
{"title":"Welfare and Output with Income Effects and Taste Shocks","authors":"D. Baqaee, Ariel T. Burstein","doi":"10.3386/W28754","DOIUrl":"https://doi.org/10.3386/W28754","url":null,"abstract":"We provide a non-parametric characterization of how welfare responds to changes in budget and production possibility sets when preferences are non-homothetic or subject to shocks, in both partial and general equilibrium. We generalize Hulten’s theorem, which is the basis for constructing aggregate quantities, to this context. We identify a new bias in measures of real consumption. This bias depends on the covariance of price changes and expenditure changes due to income effects or preference shocks. We apply our results to long-run and short-run phenomena. In the long-run, we show that structural transformation, if caused by income effects, is roughly twice as important for welfare than what is implied by standard measures of Baumol’s cost disease. In the short-run, we show that when firms’ demand shocks are correlated with their supply shocks, industry-level price and output indices are biased, and this bias does not disappear in the aggregate. Finally, we show that correlated supply and demand shifters make real GDP and aggregate TFP unreliable metrics for measuring production and productivity, and illustrate this using the Covid-19 crisis.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"120 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77434376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charles Courtemanche, A. Le, Aaron Yelowitz, R. Zimmer
This paper examines the effect of fall 2020 school reopenings in Texas on county-level COVID-19 cases and fatalities. Previous evidence suggests that schools can be reopened safely if community spread is low and public health guidelines are followed. However, in Texas, reopenings often occurred alongside high community spread and at near capacity, making it difficult to meet social distancing recommendations. Using event-study models and hand-collected instruction modality and start dates for all school districts, we find robust evidence that reopening Texas schools gradually but substantially accelerated the community spread of COVID-19. Results from our preferred specification imply that school reopenings led to at least 43,000 additional COVID-19 cases and 800 additional fatalities within the first two months. We then use SafeGraph mobility data to provide evidence that spillovers to adults’ behaviors contributed to these large effects. Median time spent outside the home on a typical weekday increased substantially in neighborhoods with large numbers of school-age children, suggesting a return to in-person work or increased outside-of-home leisure activities among parents.
{"title":"School Reopenings, Mobility, and COVID-19 Spread: Evidence from Texas","authors":"Charles Courtemanche, A. Le, Aaron Yelowitz, R. Zimmer","doi":"10.3386/W28753","DOIUrl":"https://doi.org/10.3386/W28753","url":null,"abstract":"This paper examines the effect of fall 2020 school reopenings in Texas on county-level COVID-19 cases and fatalities. Previous evidence suggests that schools can be reopened safely if community spread is low and public health guidelines are followed. However, in Texas, reopenings often occurred alongside high community spread and at near capacity, making it difficult to meet social distancing recommendations. Using event-study models and hand-collected instruction modality and start dates for all school districts, we find robust evidence that reopening Texas schools gradually but substantially accelerated the community spread of COVID-19. Results from our preferred specification imply that school reopenings led to at least 43,000 additional COVID-19 cases and 800 additional fatalities within the first two months. We then use SafeGraph mobility data to provide evidence that spillovers to adults’ behaviors contributed to these large effects. Median time spent outside the home on a typical weekday increased substantially in neighborhoods with large numbers of school-age children, suggesting a return to in-person work or increased outside-of-home leisure activities among parents.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81757441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Schools across the United States and the world have been closed in an effort to mitigate the spread of COVID-19. However, the effect of school closure on COVID-19 transmission remains unclear. We estimate the causal effect of changes in the number of weekly visits to schools on COVID-19 transmission using a triple difference approach. In particular, we measure the effect of changes in county-level visits to schools on changes in COVID-19 diagnoses for households with school-age children relative to changes in COVID-19 diagnoses for households without school-age children. We use a data set from the first 46 weeks of 2020 with 130 million household-week level observations that includes COVID-19 diagnoses merged to school visit tracking data from millions of mobile phones. We find that increases in county-level in-person visits to schools lead to an increase in COVID-19 diagnoses among households with children relative to households without school-age children. However, the effects are small in magnitude. A move from the 25th to the 75th percentile of county-level school visits translates to a 0.3 per 10,000 household increase in COVID-19 diagnoses. This change translates to a 3.2 percent relative increase. We find larger differences in low-income counties, in counties with higher COVID-19 prevalence, and at later stages of the COVID-19 pandemic.
{"title":"Back to School: The Effect of School Visits During COVID-19 on COVID-19 Transmission","authors":"D. Bravata, J. Cantor, N. Sood, C. Whaley","doi":"10.3386/W28645","DOIUrl":"https://doi.org/10.3386/W28645","url":null,"abstract":"Schools across the United States and the world have been closed in an effort to mitigate the spread of COVID-19. However, the effect of school closure on COVID-19 transmission remains unclear. We estimate the causal effect of changes in the number of weekly visits to schools on COVID-19 transmission using a triple difference approach. In particular, we measure the effect of changes in county-level visits to schools on changes in COVID-19 diagnoses for households with school-age children relative to changes in COVID-19 diagnoses for households without school-age children. We use a data set from the first 46 weeks of 2020 with 130 million household-week level observations that includes COVID-19 diagnoses merged to school visit tracking data from millions of mobile phones. We find that increases in county-level in-person visits to schools lead to an increase in COVID-19 diagnoses among households with children relative to households without school-age children. However, the effects are small in magnitude. A move from the 25th to the 75th percentile of county-level school visits translates to a 0.3 per 10,000 household increase in COVID-19 diagnoses. This change translates to a 3.2 percent relative increase. We find larger differences in low-income counties, in counties with higher COVID-19 prevalence, and at later stages of the COVID-19 pandemic.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81011491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper analyzes earnings inequality and earnings dynamics in Sweden over 1985–2016. The deep recession in the early 1990s marks a historic turning point with a massive increase in earnings inequality and earnings volatility, and the impact of the recession and the recovery from it lasted for decades. In the aftermath of the recession, we find steady growth in real earnings across the entire distribution for men and women and decreasing inequality over more than 20 years. Earnings dynamics differ substantially by gender, education, and origin. Men face lower volatility than women, but their earnings growth is more closely tied to the business cycle. Earnings volatility is also higher among high-educated and foreign-born workers. We document an important role of social benefits usage for the overall trends and for differences across sub-populations. Higher benefits enrollment, especially for women and immigrants, is associated with higher earnings volatility. As the generosity and usage of benefit programs declined over time, we find stronger earnings growth among low-income workers, consistent with higher self-sufficiency.
{"title":"Income Dynamics in Sweden 1985-2016","authors":"Benjamin U. Friedrich, Lisa Laun, C. Meghir","doi":"10.3386/W28527","DOIUrl":"https://doi.org/10.3386/W28527","url":null,"abstract":"This paper analyzes earnings inequality and earnings dynamics in Sweden over 1985–2016. The deep recession in the early 1990s marks a historic turning point with a massive increase in earnings inequality and earnings volatility, and the impact of the recession and the recovery from it lasted for decades. In the aftermath of the recession, we find steady growth in real earnings across the entire distribution for men and women and decreasing inequality over more than 20 years. Earnings dynamics differ substantially by gender, education, and origin. Men face lower volatility than women, but their earnings growth is more closely tied to the business cycle. Earnings volatility is also higher among high-educated and foreign-born workers. We document an important role of social benefits usage for the overall trends and for differences across sub-populations. Higher benefits enrollment, especially for women and immigrants, is associated with higher earnings volatility. As the generosity and usage of benefit programs declined over time, we find stronger earnings growth among low-income workers, consistent with higher self-sufficiency.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77979438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A large body of evidence documents a link between alcohol consumption and violence involving intimate partners and close family members. Recent scholarship suggests that since the onset of the COVID-19 pandemic and subsequent stay-at-home orders, there has been a marked increase in domestic violence. This research considers an important mechanism behind the increase in domestic violence during the COVID-19 pandemic: an increase in the riskiness of alcohol consumption. We combine 911 call data with newly-available high-resolution microdata on visits to bars and liquor stores in Detroit, MI and find that the strength of the relationship between visits to alcohol outlets and domestic violence more than doubles starting in March 2020. We find more limited evidence with respect to non-domestic assaults, supporting our conclusion that it is not alcohol consumption per se but alcohol consumption at home that is a principal driver of domestic violence
{"title":"COVID-19 Has Strengthened the Relationship Between Alcohol Consumption and Domestic Violence","authors":"Aaron Chalfin, S. Danagoulian, Monica Deza","doi":"10.3386/W28523","DOIUrl":"https://doi.org/10.3386/W28523","url":null,"abstract":"A large body of evidence documents a link between alcohol consumption and violence involving intimate partners and close family members. Recent scholarship suggests that since the onset of the COVID-19 pandemic and subsequent stay-at-home orders, there has been a marked increase in domestic violence. This research considers an important mechanism behind the increase in domestic violence during the COVID-19 pandemic: an increase in the riskiness of alcohol consumption. We combine 911 call data with newly-available high-resolution microdata on visits to bars and liquor stores in Detroit, MI and find that the strength of the relationship between visits to alcohol outlets and domestic violence more than doubles starting in March 2020. We find more limited evidence with respect to non-domestic assaults, supporting our conclusion that it is not alcohol consumption per se but alcohol consumption at home that is a principal driver of domestic violence","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84229954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monica P Bhatt, Jonathan Guryan, Jens Ludwig, Anuj K. Shah
Over the past 50 years, social science has increasingly become involved in the business of not just understanding social problems, but of helping solve them as well. Progress towards this goal will benefit not just from the growing work on solving the challenge of scale, by which we mean the capacity to effectively reach large numbers of people, but also from more attention to the less-appreciated challenge of scope, by which we mean the capacity to change a large share of the decisions that affect a given person’s outcomes. In this essay, we provide a simple framework to help think about the scope of candidate policies, and highlight some common situations that are often associated with potential for large scope.
{"title":"Scope Challenges to Social Impact","authors":"Monica P Bhatt, Jonathan Guryan, Jens Ludwig, Anuj K. Shah","doi":"10.3386/W28406","DOIUrl":"https://doi.org/10.3386/W28406","url":null,"abstract":"Over the past 50 years, social science has increasingly become involved in the business of not just understanding social problems, but of helping solve them as well. Progress towards this goal will benefit not just from the growing work on solving the challenge of scale, by which we mean the capacity to effectively reach large numbers of people, but also from more attention to the less-appreciated challenge of scope, by which we mean the capacity to change a large share of the decisions that affect a given person’s outcomes. In this essay, we provide a simple framework to help think about the scope of candidate policies, and highlight some common situations that are often associated with potential for large scope.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"493 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76389812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vicki Been, I. Ellen, David N. Figlio, A. Nelson, Stephen L. Ross, A. Schwartz, Leanna Stiefel
This study examines the effects of negative equity on children’s academic performance, using data on children attending Florida public schools and housing transactions from the State of Florida. Our empirical strategy exploits variation over time in the timing of family moves to Florida in order to account for household sorting into neighborhoods and schools and selection into initial mortgage terms. In contrast to the existing literature on foreclosure and children’s outcomes, we find that Florida students with the highest risk of negative equity exhibit significantly higher test score growth. These effects are largest among Black students and students who qualify for free or reduced-priced lunch. We find evidence supporting two underlying mechanisms: (1) consumption patterns suggest that families in negative equity may reduce the impact of income losses on consumption by forgoing mortgage payments, and (2) mobility patterns suggest that families exposed to high levels of negative equity may move to schools that are of higher quality on average. While negative equity and foreclosure are undesirable, the changing incentives in terms of mortgage delinquency may have helped families manage the economic shocks caused by the great recession, as well as temporarily reduced the housing market barriers faced by low income households when attempting to access educational opportunities.
{"title":"The Effects of Negative Equity on Children’s Educational Outcomes","authors":"Vicki Been, I. Ellen, David N. Figlio, A. Nelson, Stephen L. Ross, A. Schwartz, Leanna Stiefel","doi":"10.3386/W28428","DOIUrl":"https://doi.org/10.3386/W28428","url":null,"abstract":"This study examines the effects of negative equity on children’s academic performance, using data on children attending Florida public schools and housing transactions from the State of Florida. Our empirical strategy exploits variation over time in the timing of family moves to Florida in order to account for household sorting into neighborhoods and schools and selection into initial mortgage terms. In contrast to the existing literature on foreclosure and children’s outcomes, we find that Florida students with the highest risk of negative equity exhibit significantly higher test score growth. These effects are largest among Black students and students who qualify for free or reduced-priced lunch. We find evidence supporting two underlying mechanisms: (1) consumption patterns suggest that families in negative equity may reduce the impact of income losses on consumption by forgoing mortgage payments, and (2) mobility patterns suggest that families exposed to high levels of negative equity may move to schools that are of higher quality on average. While negative equity and foreclosure are undesirable, the changing incentives in terms of mortgage delinquency may have helped families manage the economic shocks caused by the great recession, as well as temporarily reduced the housing market barriers faced by low income households when attempting to access educational opportunities.","PeriodicalId":18934,"journal":{"name":"National Bureau of Economic Research","volume":"107 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85582780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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