Haoyang Liu and Christopher Palmer examine how perceptions of past housing prices may shape predictions for the future, and investigate whether these tendencies shape participation in the housing market.
Health is an integral part of well-being. The United Nations Human Development Index uses life expectancy (together with GDP per capita and literacy) as one of three key indicators of human welfare across the world. In this post, I discuss the state of life expectancy inequality in the United States and examine some of the underlying factors in its evolution over the past several decades.
Fleming, Johansson, Keane, and Meyer present a synopsis of work from the Liberty Street Economics archive on a 2014 flash episode when U.S. Treasury yields plunged and rebounded for no obvious reason.
Is Free College the Solution to Student Debt Woes? Studying the Heterogeneous Impacts of Merit Aid Programs
The rising cost of a college education has become an important topic of discussion among both policymakers and practitioners. At least eleven states have recently introduced programs to make public two-year education tuition free, including New York, which is rolling out its Excelsior Scholarship to provide tuition-free four-year college education to low-income students across the SUNY and CUNY systems. Prior to these new initiatives, many states, including New York, had already instituted merit scholarship programs that subsidize the cost of college conditional on academic performance and in-state attendance. Given the rising cost of college and the increased prevalence of tuition-subsidy programs, it’s important for us to understand the effects of such programs on students, and whether these effects vary by income and race. While a rich body of work has studied the effects of merit scholarship programs on educational attainment, the same is not true for the effects on financial outcomes of students, such as debt and repayment. This blog post reports preliminary findings from ongoing work, which is one of the first research initiatives to understand such effects.
Student loans are increasingly a focus of discourse among politicians, policymakers, and the news media, resulting in a range of new ideas to address the swelling aggregate debt. Evaluating student loan policy proposals requires understanding the challenges faced by student borrowers. In this post, we explore the substantial variation in the experiences of borrowers and consider the distributional effects of various policy options.
Workers in the United States experience vast differences in lifetime earnings. Individuals in the 90th percentile earn around seven times more than those in the 10th percentile, and those in the top percentile earn almost twenty times more. A large share of these differences arise over the course of people’s careers. What accounts for these vastly different outcomes in the labor market? Why do some individuals experience much steeper earnings profiles than others? Previous research has shown that the “job ladder”—in which workers obtain large pay increases when they switch to better jobs or when firms want to poach them—is important for wage growth. In this post, we investigate how job ladders differ across workers.
Economic inequality in the United States is much more pronounced in some parts of the country than others. In this post, we examine the geography of wage inequality, drawing on our recent Economic Policy Review article. We find that the most unequal places tend to be large urban areas with strong economies where wage growth has been particularly strong for those at the top of the wage distribution.
Economic analysis is often geared toward understanding the average effects of a given policy or program. Likewise, economic policies frequently target the average person or firm. While averages are undoubtedly useful reference points for researchers and policymakers, they don’t tell the whole story: it is vital to understand how the effects of economic trends and government policies vary across geographic, demographic, and socioeconomic boundaries. It is also important to assess the underlying causes of the various inequalities we observe around us, be they related to income, health, or any other set of indicators. Starting today, we are running a series of six blog posts (apart from this introductory post), each of which focuses on an interesting case of heterogeneity in the United States today.
Almost two years after hurricanes Irma and Maria wreaked havoc on Puerto Rico and the U.S. Virgin Islands, the two territories’ economies have moved in very different directions. When the hurricanes struck, both were already in long economic slumps and had significant fiscal problems. As of mid-2019, however, Puerto Rico’s economy was showing considerable signs of improvement since the hurricanes, while the Virgin Islands’ economy remained mired in a deep slump through the end of 2018, though signs of a nascent recovery began emerging in early 2019. In this post, we assess the contrasting trends of these two economies since the hurricanes and attempt to explain the forces driving these trends.