This chapter provides an overview of household finance The first part summarizes key facts regarding household financial behavior, emphasizing empirical regularities that are inconsistent with the standard classical economic model and discussing extensions of the classical model and explanations grounded in behavioral economics that can account for the observed patterns This part covers five topics: consumption and savings, borrowing, payments, asset allocation, and insurance The second part addresses interventions that firms, governments, and other parties deploy to shape household financial outcomes: education and information, peer effects and social influence, product design, advice and disclosure, choice architecture, and interventions that directly target prices or quantities

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Behavioral Household Finance

Using a model with housing search, endogenous credit constraints, and mortgage default, this paper accounts for the housing crash from 2006 to 2011 and its implications for aggregate and cross-sectional consumption during the Great Recession. Left tail shocks to labor market uncertainty and tighter down payment requirements emerge as the key drivers. An endogenous decline in housing liquidity amplifies the recession by increasing foreclosures, contracting credit, and depressing consumption. Balance sheets act as a transmission mechanism from housing to consumption that depends on gross portfolio positions and the leverage distribution. Low interest rate policies accelerate the recovery in housing and consumption.

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Mortgage Debt, Consumption, and Illiquid Housing Markets in the Great Recession

We study the relationship between homebuyers’ beliefs about future house price changes and their mortgage leverage choices. Whether more pessimistic homebuyers choose higher or lower leverage depends on their willingness and ability to reduce the size of their housing market investments. When households primarily maximize the levered return of their property investments, more pessimistic homebuyers reduce their leverage to purchase smaller houses. On the other hand, when considerations such as family size pin down the desired property size, pessimistic homebuyers reduce their financial exposure to the housing market by making smaller downpayments to buy similarly-sized homes. To determine which scenario better describes the data, we investigate the cross-sectional relationship between house price beliefs and mortgage leverage choices in the U.S. housing market. We use plausibly exogenous variation in house price beliefs to show that more pessimistic homebuyers make smaller downpayments and choose higher leverage, in particular in states where default costs are relatively low, as well as during periods when house prices are expected to fall on average. Our results highlight the important role of heterogeneous beliefs in explaining households’ financial decisions

/pdf/house-price-beliefs-and-mortgage-leverage-choice-1e0zq917pw.pdf

House Price Beliefs And Mortgage Leverage Choice

We study the relationship between homebuyers' beliefs about future house price changes and their mortgage leverage choices. From a theoretical perspective, whether more pessimistic homebuyers choose more or less leverage is ambiguous and depends on their willingness to reduce the size of their housing investment. When households primarily maximize the levered return of their property investment, more pessimistic homebuyers reduce their leverage to purchase smaller houses. On the other hand, when considerations such as family size pin down the desired property size, pessimistic homebuyers reduce their financial exposure to the housing market by making smaller downpayments to buy similarly-sized homes. To determine which scenario better describes the data, we empirically investigate the cross-sectional relationship between beliefs and leverage choices in the U.S. housing market. Our data combine mortgage financing information and a housing market expectations survey with anonymized social network data from Facebook. The survey shows that an individual's belief distribution about future house price changes is affected by the recent house price experiences of her geographically distant friends, allowing us to use these experiences as quasi-exogenous shifters of individuals' house price beliefs. We find that more pessimistic homebuyers make smaller downpayments and choose higher leverage, in particular in states where default costs are relatively low, as well as during periods when house prices are expected to fall on average. Overall, our results provide evidence for an important role of heterogeneous beliefs in explaining individuals' financial decision-making.

/pdf/house-price-beliefs-and-mortgage-leverage-choice-2z88zujwwr.pdf

House Price Beliefs and Mortgage Leverage Choice

We reexamine the effects of the anchoring manipulation of Ariely, Loewenstein, and Prelec (2003) on the evaluation of common market goods and find very weak anchoring effects. We perform the same manipulation on the evaluation of binary lotteries, and find no anchoring effects at all. This suggests limits on the robustness of anchoring effects.

On the Robustness of Anchoring Effects in WTP and WTA Experiments

In this paper, we use two comprehensive micro-data sets to study how the distribution of mortgage debt evolved during the 2000s housing boom. We show that the allocation of mortgage debt across the income distribution remained stable, as did the allocation of real estate assets. Any theory of the boom must replicate these facts, and a general equilibrium model shows that doing so requires two elements: (1) an exogenous shock that increases expected house price growth or, alternatively, reduces interest rates and (2) financial markets that endogenously relax borrowing constraints in response to the shock. Empirically, the endogenous relaxation of constraints was largely accomplished with subprime lending, which allowed the mortgage debt of low-income households to increase at the same rate as that of high-income households.

https://www.nber.org/system/files/working_papers/w22985/w22985.pdf

Cross-Sectional Patterns of Mortgage Debt during the Housing Boom: Evidence and Implications

The application of information technology to finance, or ?fintech,? is expected to revolutionize many aspects of borrowing and lending in the future, but technology has been reshaping consumer and mortgage lending for many years. During the 1990s computerization allowed mortgage lenders to reduce loan-processing times and largely replace human-based assessment of credit risk with default predictions generated by sophisticated empirical models. Debt-to-income ratios at origination add little to the predictive power of these models, so the new automated underwriting systems allowed higher debt-to-income ratios than previous underwriting guidelines would have typically accepted. In this way, technology brought about an exogenous change in lending standards, which helped raise the homeownership rate and encourage the conversion of rental properties to owner-occupied ones, but did not have large effects on housing prices. Technological innovation in mortgage underwriting may have allowed the 2000s housing boom to grow, however, because it enhanced the ability of both borrowers and lenders to act on optimistic beliefs about future house-price growth.

Technological Innovation in Mortgage Underwriting and the Growth in Credit: 1985-2015

The reallocation of mortgage debt to low-income or marginally qualified borrowers plays a central role in many explanations of the early 2000s housing boom. We show that such a reallocation never occurred, as the distribution of mortgage debt with respect to income changed little even as the aggregate stock of debt grew rapidly. Moreover, because mortgage debt varies positively with income in the cross section, equal percentage increases in debt among high- and low-income borrowers meant that wealthy borrowers accounted for most new debt in dollar terms. Previous research stressing the importance of low-income borrowing was based on the inflow of new mortgage originations alone, so it could not detect offsetting outflows in mortgage terminations that left the allocation of debt stable over time. And while defaults on subprime mortgages played an important part in the financial crisis, the data show that subprime lending did not cause a reallocation of debt toward the poor. Rather, subprime lending prevented a reallocation of debt toward the wealthy.

Cross-Sectional Patterns of Mortgage Debt During the Housing Boom: Evidence and Implications

We find evidence for the behavioral biases of anchoring and loss aversion. We find that anchoring is more important for items that are resold quickly, and we find that the effect of loss aversion increases with the time that a painting is held. The evidence in favor of anchoring and loss aversion with this large dataset validates previous results and adds to the empirical evidence a finding of increasing loss aversion with the length a painting is held. We do not find evidence that investors can take advantage of these behavioral biases.

Lara Loewenstein

Papers

Cross-Sectional Patterns of Mortgage Debt during the Housing Boom: Evidence and Implications

Technological Innovation in Mortgage Underwriting and the Growth in Credit: 1985-2015

Cross-Sectional Patterns of Mortgage Debt during the Housing Boom: Evidence and Implications

Cross-Sectional Patterns of Mortgage Debt During the Housing Boom: Evidence and Implications

Anchoring or Loss Aversion? Empirical Evidence from Art Auctions