Sewin Chan

Job Loss and Employment Patterns of Older Workers

This article uses data from the Health and Retirement Study to examine the employment patterns of workers aged 50 and above who have experienced an involuntary job loss. Hazard models for returning to work and for exiting postdisplacement employment are estimated and used to examine work patterns for 10 years following a job loss. Our findings show that a job loss results in large and lasting effects on future employment probabilities. Four years after job losses at age 55, the employment rate of displaced workers remains 20 percentage points below the employment rate of similar nondisplaced workers.

What You Don't Know Can't Help You: Pension Knowledge and Retirement Decision-Making

This paper provides an answer to an important empirical puzzle in the retirement literature: while most people know little about their own pension plans, retirement behavior is strongly affected by pension incentives. We combine administrative and self-reported pension data to measure the retirement response to actual and perceived financial incentives and document an important role for self-reported pension data in determining retirement behavior. Well-informed individuals are far more responsive to pension incentives than the average individual. Ill-informed individuals seem to respond systematically to their own misperceptions of pension incentives.

Do changes in pension incentives affect retirement? A longitudinal study of subjective retirement expectations

This paper investigates the responsiveness of individuals’ retirement decisions to forward-looking measures of pension accumulations. In contrast to previous research, we use within-person variation in retirement incentives and are able to control for unobserved heterogeneity in tastes for retirement by studying a panel of subjective retirement expectations. We confirm that individuals do respond as expected to pension incentives, even when we control for individual fixed effects. However, the magnitude of these responses differs when estimated from models based on within-person versus cross-sectional variation: the inclusion of fixed effects reduces the response by about half.

How Does Job Loss Affect the Timing of Retirement

Abstract This paper estimates the extent to which reduced employment following job loss among older workers can be explained as a response to altered pension incentives and earnings opportunities. Using data from the Health and Retirement Study, we first examine how workers’ earnings, assets, pensions and the resulting financial incentive to retire are affected by job loss. We find important effects of job loss on the main financial components of workers’ incentive to retire. We then examine retirement behavior after job loss, controlling for these changed retirement incentives, along with any additional effects of displacement not captured by retirement incentives. We find that the observed increased rates of retirement among displaced workers go far beyond these purely financial considerations. Very little of the reduced employment among older job losers can be explained by changes in wages and pension-related retirement incentives. Other barriers to reemployment may be more important explanations for the low employment rates of recently displaced older workers.

Residential mobility and mortgages

Mortgage applications are a detailed and accurate source of household information that is verified by underwriters, making it a more accurate data source than self-reported survey answers. This paper discusses how mortgage data can be applied to areas of economics outside mortgage finance. As a supplement to variables from the application form, the self-selection of mortgage points is used to infer expected mobility. A duration model of housing spells is estimated, and the points indicator is shown to be highly significant in predicting mobility for low loan-to-value borrowers. The findings demonstrate the potential fruitfulness of using this new data source.

The role of neighborhood characteristics in mortgage default risk: Evidence from New York City

Using a rich database of non-prime mortgages from New York City, we find that census tract level neighborhood characteristics are important predictors of default behavior, even after controlling for an extensive set of controls for loan and borrower characteristics. First, default rates increase with the rate of foreclosure notices and the number of lender-owned properties (REOs) in the tract. Second, default rates on home purchase mortgages are higher in census tracts with larger shares of black residents, regardless of the borrower’s own race. We explore possible explanations for this second finding and conclude that it likely reflects differential treatment of black neighborhoods by the mortgage industry in ways that are unobserved in our data.

Low Cognitive Ability And Poor Skill With Numbers May Prevent Many From Enrolling In Medicare Supplemental Coverage

Because traditional Medicare leaves substantial gaps in coverage, many people obtain supplemental coverage to limit their exposure to out-of-pocket costs. However, some Medicare beneficiaries may not be well equipped to navigate the complex supplemental coverage landscape successfully because of their lower cognitive ability or numeracy--that is, the ability to work with numbers. We found that people in the lower third of the cognitive ability and numeracy distributions were at least eleven percentage points less likely than those in the upper third to enroll in a supplemental Medicare insurance plan. This result means that many Medicare beneficiaries do not have the financial protections and other benefits that would be available to them if they were enrolled in a supplemental insurance plan. Our findings suggest that policy makers may want to consider alternatives tailored to these high-need groups, such as enhanced education and enrollment programs, simpler sets of plan choices, or even some type of automatic enrollment with an option to decline coverage.

The role of neighborhood characteristics in mortgage default risk: evidence from New York City

Using a rich database of non-prime mortgages from New York City, we find that census tract level neighborhood characteristics are important predictors of default behavior, even after controlling for an extensive set of controls for loan and borrower characteristics. First, default rates increase with the rate of foreclosure notices and the number of lender-owned properties (REOs) in the tract. Second, default rates on home purchase mortgages are higher in census tracts with larger shares of black residents, regardless of the borrower’s own race. We explore possible explanations for this second finding and conclude that it likely reflects differential treatment of black neighborhoods by the mortgage industry in ways that are unobserved in our data.

How Mortgage Finance Affects the Urban Landscape

This chapter considers the structure of mortgage finance in the United States and its role in shaping patterns of homeownership, the nature of the housing stock, and the organization of residential activity. We start by providing some background on the design features of mortgage contracts that distinguish them from other loans and that have important implications for issues presented in the rest of the chapter. We then explain how mortgage finance interacts with public policy, particularly tax policy, to influence a households decision to own or rent and how shifts in the demand for owner-occupied housing are translated into housing prices and quantities, given the unusual nature of housing supply. We consider the distribution of mortgage credit in terms of access and price, by race, ethnicity, and income, and over the life cycle, with particular attention to the role of recent innovations such as nonprime mortgage securitization and reverse mortgages. The extent of negative equity has been unprecedented in the past decade, and we discuss its impact on strategic default, housing turnover, and housing investment. We describe spatial patterns in foreclosure and summarize the evidence for foreclosure spillovers in urban neighborhoods. Finally, we offer some thoughts on future innovations in mortgage finance.

Do Homeowners Mark to Market? A Comparison of Self‐Reported and Estimated Market Home Values During the Housing Boom and Bust

This article examines homeowners’ self‐reported values in the American Housing Survey and the Health and Retirement Study from the start of the recent housing price run‐ups through recent price declines. We compare ZIP‐Code‐level market‐based estimates of housing prices to those derived from homeowners’ self‐reported values. We show that there are systematic differences which vary with market conditions and the amount of equity owners hold in their homes. When prices have fallen, homeowners systematically state that their homes are worth more than market estimates suggest, and homeowners with little or no equity in their homes state values above the market estimates to a greater degree. Over time, homeowners appear to adjust their assessments to be more in line with past market trends, but only slowly. Our results suggest that underwater borrowers are likely to understate their losses and either may not be aware that their mortgages are underwater or underestimate the degree to which they are.