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Analyzing account-level data from an account aggregator, we find that households increase consumption when they receive expected tax refunds, as if they face liquidity constraints. However, these same households smooth consumption when making payments in other years, primarily by transferring funds among liquid accounts. Even households carrying credit card debt smooth consumption when making payments, and even highly liquid households spend out of refunds. This behavior is inconsistent with pure liquidity constraints or hand-to-mouth behavior and is most consistent with a mental accounting life-cycle model. (JEL D12, E21, G51, H24, H31)

This paper evaluates the Car Allowance Rebate System (CARS ) by comparing the vehicle purchases and disposals of households with eligible “clunkers” to those of households with similar but ineligible vehicles. CARS caused roughly 500,000 purchases during the program period. The provision of liquidity, through a rebate usable as a down payment, was critical in generating this large response. Participation was rare among households that owned clunkers with outstanding loans, which required loan repayment. This decline in participation is attributed to households’ preference for lower down payments and distinguished from the effects of income, other indebtedness, and the program subsidy. (JEL E23, E62, G51, H24, H31)

© 2019 The Ohio State University Using variation in minimum wages across cities and controlling for differences in business-cycle factors and long-run local economic trends, we find that following minimum wage increases, both, prices and nominal spending rise modestly. These gains are larger for certain subcategories of goods such as food away from home and in locations where low-wage workers account for a larger share of employment. Further, minimum wage increases are associated with reduced total debt among households with low credit scores, higher auto debt, and increased access to credit.

This essay argues for a re-reading of the lament in Psalm 22:1–5, 9–11 as Christian Scripture. This reading of the Old Testament as Christian Scripture redresses an imbalance in Christian theology, which tends to highlight difficulties in Jesus’ cry of dereliction but obscures its lament. This lament is central to the cross as solidarity with the experience of human suffering as betrayal by God and as an invitation for humanity to cry out for God’s response, found ultimately in the cross. In particular, the essay offers a new, feminist, birth-sensitive interpretation of Psalm 22:9–11 and a new, feminist translation of Psalm 22:10b, accenting God’s motherhood in the passage.

We evaluate the consistency of two methods for estimating the effect of an economic policy: (i) asking people how the policy caused them to change their behavior (reported effects) and (ii) inferring this change using data on behavior and differences in treatment across people (revealed-preference estimates). Both methods are widely used to measure spending caused by increases in liquidity. Using federal stimulus payments disbursed quasi-randomly in 2008, we find larger revealed-preference estimates of spending propensities for households who report greater spending responses, and the methods produce similar average propensities. But evidence is mixed on the relationship between spending propensities and liquidity. (JEL C83, D14, D91, E62, H24, H31)

We develop a tractable dynamic model of credit markets in which lending standards and the quality of potential borrowers are endogenous. Competitive banks privately choose their lending standards: whether to pay a cost to screen out some unprofitable borrowers. Lending standards have negative externalities and are dynamic strategic complements: tighter screening worsens the future pool of borrowers for all banks and increases their incentives to screen in the future. Lending standards can amplify and prolong temporary downturns, affecting lending volume, credit spreads, and default rates. We characterize constrained-optimal policy which can generally be implemented as a government loan insurance program. When markets recover, they may do so only slowly, a phenomenon we call “slow thawing.” Finally, we show that limits on lending such as from capital constraints naturally incentivize tight lending standards, further amplifying shocks to credit markets. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

This paper evaluates theoretical explanations for the propensity of households to increase spending in response to the arrival of predictable, lump-sum payments, using households in the Nielsen Consumer Panel who received $25 million in randomly distributed stimulus payments. The pattern of spending is inconsistent with models in which identical households cycle rapidly through high and low- response states as they manage liquidity, but is instead highly predictable by income years before the payment. Spending responses are unrelated to expectation errors, almost unrelated to crude measures of procrastination and self-control, significantly related to sophistication and planning, and highly related to impatience. (JEL D12, D14, D91, E21, H23)

We evaluate the consistency of two methods for estimating the effect of an economic policy: i) asking people how the policy caused them to change their behavior (reported effects); ii) inferring this change using data on behavior and differences in treatment across people (revealed-preference estimates). Both methods are widely used to measure spending caused by increases in liquidity. Using Federal stimulus payments disbursed quasi-randomly in 2008, we find larger revealed-preference estimates of spending propensities for households who report greater spending responses, and the methods produce similar average propensities. But evidence is mixed on the relationship between spending propensities and liquidity.

Households in the Nielsen Consumer Panel were surveyed about their 2008 Economic Stimulus Payment. In estimates identified by the randomized timing of disbursement, the average household׳s spending rose by 10 percent the week it received a Payment and remained high cumulating to 1.5–3.8 percent of spending over three months. These estimates imply partial-equilibrium increases in aggregate demand of 1.3 percent of consumption in the second quarter of 2008 and 0.6 percent in the third. Spending is concentrated among households with low wealth or low past income; a household׳s spending did not increase significantly when it learned about its Payment., Sloan School of Management, Northwestern University (Evanston, Ill.). Kellogg School of Management, University of Chicago. Initiative for Global Markets, Northwestern University (Evanston, Ill.). Kellogg School of Management. Zell Center for Risk Research, Harvard University. Laboratory for Applied Economics and Policy

We develop a structural theory of beliefs and behavior that relaxes the assumption of time consistency in beliefs. Our theory is based on the trade-off between optimism, which raises anticipatory utility, and objectivity, which promotes efficient actions. We present it in the context of allocating work on a project over time, develop testable implications to contrast it with models assuming time-inconsistent preferences, and compare its predictions to existing evidence on behavior and beliefs. Our predictions are that (i) optimal beliefs are optimistic and time inconsistent; (ii) people optimally exhibit the planning fallacy; (iii) incentives for rapid task completion make beliefs more optimistic and worsen work smoothing, whereas incentives for accurate duration prediction make beliefs less optimistic and improve work smoothing; (iv) without a commitment device, beliefs become less optimistic over time; and (v) in the presence of a commitment device, beliefs may become more optimistic over time, and people optimally exhibit preference for commitment. This paper was accepted by Neng Wang, finance.

We evaluate the consistency of two methods for estimating the effect of an economic policy: i) surveying people to report the change in their behavior caused by the policy, ii) inferring this change using (reported) actual behavior and differences in treatment across people. Both methods have been widely used to measure propensities to spend. Using Federal stimulus payments disbursed quasi-randomly over time in 2008, we find greater revealed-preference estimates of spending by households reporting greater spending and the two methods produce similar estimates of average spending. But, counterfactually, reported preferences estimates are not higher for households with lower liquidity.

We measure the response of household spending to the economic stimulus payments (ESPs) disbursed in mid-2008, using special questions added to the Consumer Expenditure Survey and variation arising from the randomized timing of when the payments were disbursed. We find that, on average, households spent about 12-30% (depending on the specification) of their stimulus payments on nondurable expenditures during the three-month period in which the payments were received. Further, there was also a substantial and significant increase in spending on durable goods, in particular vehicles, bringing the average total spending response to about 50-90% of the payments. Relative to research on the 2001 tax rebates, these spending responses are estimated with greater precision using the randomized timing variation. The estimated responses are substantial and significant for older, lower-income, and home-owning households. We find little evidence that the propensity to spend varies with the method of disbursement (paper check versus electronic transfer).

This year, the NBER Macroeconomics Annual celebrates its thirtieth volume. The first two papers examine China’s macroeconomic development. “Trends and Cycles in China's Macroeconomy” by Chun Chang, Kaiji Chen, Daniel F. Waggoner, and Tao Zha outlines the key characteristics of growth and business cycles in China. “Demystifying the Chinese Housing Boom” by Hanming Fang, Quanlin Gu, Wei Xiong, and Li-An Zhou constructs a new house price index, showing that Chinese house prices have grown by ten percent per year over the past decade. The third paper, “External and Public Debt Crises” by Cristina Arellano, Andrew Atkeson, and Mark Wright, asks why there appear to be large differences across countries and subnational jurisdictions in the effect of rising public debts on economic outcomes. The fourth, “Networks and the Macroeconomy: An Empirical Exploration” by Daron Acemoglu, Ufuk Akcigit, and William Kerr, explains how the network structure of the US economy propagates the effect of gross output productivity shocks across upstream and downstream sectors. The fifth and sixth papers investigate the usefulness of surveys of household’s beliefs for understanding economic phenomena. “Expectations and Investment,” by Nicola Gennaioli, Yueran Ma, and Andrei Shleifer, demonstrates that a chief financial officer's expectations of a firm's future earnings growth is related to both the planned and actual future investment of that firm. “Declining Desire to Work and Downward Trends in Unemployment and Participation” by Regis Barnichon and Andrew Figura shows that an increasing number of prime-age Americans who are not in the labor force report no desire to work and that this decline accelerated during the second half of the 1990s.

We do not have a good measure of the effects of fiscal policy in a recession because the methods that we use to estimate the effects of fiscal policy—both those using the observed outcomes following different policies in aggregate data and those studying counterfactuals in fitted model economies—almost entirely ignore the state of the economy and estimate “the” government multiplier, which is presumably a weighted average of the one we care about—the multiplier in a recession—and one we care less about—the multiplier in an expansion. Notable exceptions to this general claim suggest this difference is potentially large. Our lack of knowledge stems significantly from the focus on linear dynamics: vector autoregressions and linearized (or close-to-linear) dynamic stochastic general equilibrium (DSGE) models. Our lack of knowledge also reflects a lack of data: deep recessions are few and nonlinearities hard to measure. The lack of statistical power in the estimation of nonlinear models using aggregate data can be addressed by exploiting estimates of partial-equilibrium responses in disaggregated data. Microeconomic estimates of the partial-equilibrium causal effects of a policy can discipline the causal channels inherent in any DSGE model of the general equilibrium effects of policy. Microeconomic studies can also provide measures of the dependence of the effects of a policy on the states of different agents, which is a key component of the dependence of the general-equilibrium effects of fiscal policy on the state of the economy. (JEL E12, E13, E32, E62, H50)

This paper evaluates theoretical explanations for the propensity of households to increase spending in response to the arrival of predictable, lump-sum payments, using households in the Nielsen Consumer Panel who received $25 million in Federal stimulus payments that were distributed randomly across weeks. The pattern of spending is inconsistent with models in which identical households cycle through high and low response states as they manage liquidity. Instead, the propensity spend is a persistent household trait. This trait is unrelated to expectation errors, almost unrelated to crude measures of procrastination and self-control, moderately related to measures of sophistication and planning, and highly related to a measure of impatience.

Households in the Nielsen Consumer Panel were surveyed about their 2008 Economic Stimulus Payment. In estimates identified by the randomized timing of disbursement, the average household’s spending rose by ten percent the week it received a Payment and remained high cumulating to 1.5–3.8 percent of spending over three months. These estimates imply partial-equilibrium increases in aggregate demand of 1.3 percent of consumption in the second quarter of 2008 and 0.6 percent in the third. Spending is concentrated among households with low wealth or low past income; a household’s spending did not increase significantly when it learned about its Payment.

The use of metaphors to illustrate the conceptual frameworks of schools, colleges, and departments of education has become commonplace since the implementation of the 1987 knowledge base standards of the National Council for Accreditation of Teacher Education. Concurrently, a number of researchers have explored the metaphors that both practicing and preservice teachers use to describe their conceptualization of teaching and have found that metaphor development is important in the construction of the identity of a professional teacher. This paper describes an assignment given in a social foundations course in which students are asked to integrate their own personal metaphor of teaching with the metaphor employed by the institution in its conceptual framework. Examples of student responses to this assignment are given.

The initial implementation of the System of National Accounts (1993) for the United States by the Bureau of Economic Analysis and the Federal Reserve Board has two significant advantages for economists. First, the SNA are organized according to sectors of the economy defined by economic agents: firms, financial institutions, consumers, governments and the rest of the world. Second, the accounts integrate real and financial information, so that one can track not only production of, income from, and use of output, but also net lending, net borrowing, and net worth by sector. We exploit these two features in the SNA accounts to examine US economic history leading up to the financial crisis of 2007 and recession of 2008. First, the SNA data show recent increases in leverage in the household sector. We track the household shift to a net lending position through the capital and current accounts of the household sector and then the other SNA sectors. Second, in the financial businesses sector, the accounts largely miss the rise in exposure to the US housing market as well as the critical factors that significantly spread and amplified the housing-market related changes throughout the financial system and the real economy. Finally we present three ways in which SNA-type accounts could be improved to presage a similar future crisis.

The consumption of high-consumption households is more exposed to fluctuations in aggregate consumption and income than that of low-consumption households in the Consumer Expenditure (CEX) Survey. The exposure to aggregate consumption growth of households in the top 10 percent of the consumption distribution in the CEX is about five times that of households in the bottom 80 percent. Given real aggregate per capita consumption growth about 3 percentage points less than its historical mean during the past year, these figures predict that the ratio of consumption of the top 10 percent to the bottom 80 percent has fallen by about 15 percentage points (relative to trend). Using income data from Piketty and Saez (2003), we show that the income (especially the wage income) of rich households is more exposed to aggregate fluctuations, so their higher income exposure is a likely contributor to their higher consumption exposure. Finally, we find a striking change in the exposure of the incomes of high-income households: prior to the early 1980's, the incomes of high-income households were not more exposed to aggregate fluctuations. Thus, while high-income households currently bear an inordinately large share of aggregate fluctuations, this is a recent occurrence.

One of the basic motives for saving is the accumulation of wealth to insure future welfare. Both introspection and extant research on consumption insurance find that people face substantial risks that they do not fairly pool. In theory, the consumption and wealth accumulation of price-taking households in an economy with incomplete markets differs substantially from the behavior of these same households in the equivalent economy with complete-markets. The question we address in this article is whether we find this difference to be large in practice. What is the empirical importance of precautionary saving? We provide a simple decomposition that characterizes the importance of precautionary saving in the U.S. economy. We use this decomposition as an organizing framework to present four main findings: (a) the concavity of the consumption policy rule, (b) the importance of precautionary saving for life-cycle saving and wealth accumulation, (c) the contribution of changes in risk to fluctuations in aggregate consumption and (d) the significant impact of incomplete markets on aggregate fluctuations in calibrated general equilibrium models. We conclude with directions for future research.