Claudia R. Sahm

How Much Does Risk Tolerance Change

Stability of preferences is central to how economists study behavior. This paper uses panel data on hypothetical gambles over lifetime income in the Health and Retirement Study to quantify changes in risk tolerance over time and differences across individuals. Maximum-likelihood estimation of a correlated random effects model utilizes information from 12,000 respondents in the 1992-2002 HRS. The results are consistent with constant relative risk aversion and career selection based on preferences. While risk tolerance changes with age and macroeconomic conditions, persistent differences across individuals account for over 70% of the systematic variation.

Household Response to the 2008 Tax Rebate: Survey Evidence and Aggregate Implications

Only about one‐fifth of respondents in the Reuters/University of Michigan survey report that the 2008 tax rebates led them to mostly increase spending, whereas over half said it would lead them to mostly pay off debt. Of those in the mostly‐spend category, the response was swift, with over 80% reporting increasing their spending within 3 months of receiving their rebate. Older households, households with higher wealth and higher income, and those expecting future income growth were generally more likely to spend the rebates. A review of other surveys confirms the general pattern of results and suggests that small changes in survey design do not have a major effect on the distribution of responses. The distribution of survey answers corresponds to an aggregate marginal propensity to consume (MPC) after 1 year of about one‐third. The paper combines this survey‐based estimate of the MPC and the survey‐based estimate of the timing of spending to show that the rebates help explain the aggregate movements in saving, spending, and debt in 2008. Because the rebate was large and was distributed over a short period, it had a nontrivial effect on total spending in the second and third quarters of 2008. Nonetheless, the results imply that the rebates provided only a modest stimulus to spending per dollar of rebate.

Distributional impact of social security reform

The Economics of an Ageing Population studies the effects of demographic transition on the economies of industrialised countries. The authors demonstrate that an ageing population does not necessarily lead to a reduction in growth, providing that the working population are more productive and save a greater percentage of their income. They look in detail at the examples of Italy and Japan, two countries which have the fastest ageing populations in Europe and the world respectively.

High-frequency Spending Responses to the Earned Income Tax Credit

Many households face large, high-frequency changes in income and have limited financial buffers to smooth their consumption through this income volatility. However, few studies have quantified spending responses to such timing shifts in income due to a lack of high-frequency spending data. We use a new dataset of anonymized daily, state-level spending to study a two-week delay in federal tax refunds with an earned income tax credit (EITC) in 2017.

The Effect of Hurricane Matthew on Consumer Spending

Severe weather events, such as blizzards and hurricanes, can temporarily disrupt economic activity. The imprints of these events on aggregate statistics can make it challenging for macroeconomists to analyze and forecast economic conditions. As one illustration, the minutes from March FOMC meetings in six of the past seven years cited unseasonable temperatures or winter storms as influencing economic activity. Weather events present an opportunity to observe how consumers adjust their spending in the face of unanticipated shocks. Thus far, however, there has been little analysis of the spending effects from weather events, partly due to a lack of data at both a sufficiently high frequency and a geographically detailed level. For example, official statistics, such as retail sales from the Census Bureau, are only estimated nationally at a monthly frequency. In this note, we take a step forward in this regard using a new dataset of transaction volumes to examine how consumers reacted to Hurricane Matthew, which struck the East Coast in October 2016. Our results reveal that the hurricane significantly reduced consumer spending in the affected states (Florida, Georgia, South Carolina, and North Carolina) in early October. Although the level of spending after the storm quickly returned to normal, very little of the preceding shortfall appears to have been made up in the subsequent weeks, suggesting that, on net over the span of a few weeks, the hurricane had a negative effect on spending. The drop in activity was most apparent in the discretionary components of spending, such as restaurants, as opposed to necessities, such as grocery stores.2 The net negative effect on spending implies that inter-temporal smoothing through this temporary shock is either incomplete or slow to occur.

The Effect of Sales-Tax Holidays on Consumer Spending

Over the past decade, many U.S. states have enacted policies that temporarily exempt consumer purchases of certain goods from state sales taxes. In this note, we investigate whether the pre-announced sales-tax holidays noticeably alter the spending behavior of consumers. Specifically, we investigate whether there are shifts in the level and/or composition of consumer spending before, during, and after these sales-tax holidays.

Another Look at Residual Seasonality in GDP

According to the Bureau of Economic Analysis, real GDP rose at an annual rate of 1.2 percent in the first quarter of this year, a step down from the 2.3 percent pace in the second half of last year. However, we argue in this note that residual seasonality is unlikely to be the primary reason for the slowdown in first-quarter growth this year.