How do workers prepare for retirement after an unexpected change in their financial situation? How do sudden wealth changes affect earnings and health before and after retirement? Do people work more and become more stressed after unexpected losses in their portfolios? Do people spend down new-found wealth quickly, or do they save it? To what extent do people help each other out in the family? This study addresses these questions empirically with three novel research designs on Sweden's complete population registries. The project is the first to use this data for this purpose, a singular opportunity for any major developed economy in particular.

The main design uses capital gains calculated from exceptionally detailed portfolio data in the universe of Swedish tax returns. Riskier assets should generate higher average returns, safer investments lower ones, but realized returns above or below these risk-specific levels constitute unpredictable shocks to one's wealth and savings. Auxiliary designs use sharp cutoffs in pension and inheritance tax policies as clear shocks to wealth. All designs lead to investigations of outcomes like the age of retirement, health and well-being, as well as what one earns, consumes or saves. Even more, the causal effects of wealth on labor supply or consumption can also be documented for family members -- a very important channel which has never been possible to study using the complete family network of an entire country before.

This work advances our understanding of how human decisions change with wealth. Both the nature of the data and the shocks investigated surpass previous investigations using surveys: The effects are established in a much broader population, with more precise data (on earnings or consumption), and, in particular, on novel outcomes (like health). Most importantly, the rich data does not only offer precision, but also novel research designs with greater internal validity, i.e. clean comparisons of situations where the variation in wealth is close to random.

The fact that this work can analyze negative shocks to wealth makes it stand out from prior (or concurrent) work on lottery winnings or inheritance. It is particularly important to establish whether people react to losses differently from commensurate gains. Also, people can think about changes to their savings unlike windfalls of equal size. Moreover, the study is among the first to properly take into account spillover effects where help can be important within the family, viz. "private insurance" of savings or health. A study with equally reliable data on the basically complete network of families in a country is an important advance in itself.

Many results can have broader implications. For instance, if retirees are much healthier with some extra wealth, more powerful retirement saving schemes might look justified. On the other hand, if wealthier people leave work more easily, a means-tested retirement age might raise welfare. If family help still seem prevalent even in a generous welfare state, both policy proposals and other empirical studies can be expected to make bigger efforts to take such spillover effects into account. The wider research and policy community also cares about people responding to incentives depending on whether they or their family members are more or less wealthy.

Project Report

How do workers prepare for retirement as their financial situation changes? How does wealth affect earnings and health before and after retirement? How quickly do people spend down newfound wealth, or how do they save it? How strong is informal insurance in the family? This project investigated these questions exploring three research designs allowed by the exceptional data from the population and tax registries of Sweden. It is challenging to find unpredictable, unforeseen changes or differences in wealth, as wealth is eminently the result of much planning and past behavior. Yet without such variation, it is hard to know how wealth itself affects life in and around retirement. The major piece of the work exploits the unique Swedish environment with complete portfolio information on every resident for the years with a wealth tax in effect, from 1999 to 2006: By using baseline portfolios of publicly traded assets and revaluing all assets at subsequent prices, using only their risk-specific excess returns, the simulated wealth changes are unpredictable (as much as financial markets are efficient) and still correlated with actual wealth at a later point. With this instrument, we can separate an unpredictable part of wealth and test whether larger wealth causes earlier retirement, smaller earnings (or savings) before retirement, or better health once retired. The project has found no economically significant responses in earnings or the timing of retirement to plausibly exogenous variation in retirement savings. The health responses to the treatment are similarly slight, with undetectable effect sizes on health outcomes measured as the number of inpatient or outpatient treatments on broad categories of stress- or wellness-related diagnoses (e.g. cardiovascular) per year, or the amount spent on broader groups of related drugs annually. Ongoing work will revisit whether the effects are slight because investors paid little attention to annual capital gains, did not realize that they are unlikely to revert, or because the variation is insufficient to overcome rigidities in decision-making and the economy and thus change actionable choices. The research team has also laid the groundwork for future projects in this exceptional environment, exploiting the cleaned data and the detailed knowledge of the institutional setting. One project under development studies how disability insurance recipients fare relative to the counterfactual of no benefit for this population. For this, exceptional disability insurance fund records helps the team identify marginal applicants, who won only because they happened to be treated by more lenient case workers than less fortunate counterparts. A similar research design using the variation across employment agency caseworkers is also under preparation.

Agency
National Science Foundation (NSF)
Institute
Division of Social and Economic Sciences (SES)
Type
Standard Grant (Standard)
Application #
1326399
Program Officer
Georgia Kosmopoulou
Project Start
Project End
Budget Start
2013-08-15
Budget End
2014-12-31
Support Year
Fiscal Year
2013
Total Cost
$15,007
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02138