Review of Economic Dynamics最新文献

How should the U.S. confront the growing revenue needs driven by higher spending requirements? We investigate the mix of potential tax increases that generate a given revenue need at the minimum welfare cost and evaluate its macroeconomic impact. We do so in the context of a life-cycle growth model that captures key aspects of the earnings and wealth distributions and the non-linear shape of taxes and transfers in place. Our findings show that a proportional consumption tax combined with a lump-sum transfer to all households and a reduction in income tax progressivity consistently emerges as the best alternative to minimize welfare costs associated with a given increase in revenue. A 30% long-run increase in Federal tax revenue requires a consumption tax rate of 27.8%, a transfer of about 12% of mean household income to all households, and a reduction of top marginal income tax rates of more than 5 percentage points—output declines by 7.9% in the long run. While transfers are substantial, smaller transfers can accomplish most of the reduction in welfare costs. We find no role for wealth taxes in increasing revenues or minimizing welfare costs.

We reconsider the fiscal consequences of an aging population in Japan that were reported in Hansen and İmrohoroğlu (2016). That paper predicted that the net debt to GNP ratio would reach 250 percent in 2021, while the actual net debt to GNP ratio was roughly constant at about 120% from 2011 to 2019. Here we study the role played by higher tax revenues, lower spending, and lower interest rates than were assumed in the previous paper. Most importantly, we consider the role played by Japanese government bonds held by the Bank of Japan in enabling this period of debt stability. We conclude that the stable net debt to output ratio is predicted to be temporary and reach 250 percent before 2040.

This paper analyzes an economy in which agents face related problems and invest in parameter information that they share. The N-player game generates growth via statistical learning alone. The equilibrium growth rate rises with agents' risk aversion via precautionary saving. Research entails a free riding problem, but the scale effect dominates and growth rises with the number of agents.

We document a new fact: regional divergence, the rate at which rich states grow faster than poor states, explains most U.S. house price movements since 1939, including the post-2000 boom-bust-boom cycle. An industry-share instrument provides evidence the relationship is causal, implying the location of economic growth affects national house prices. We propose a model to learn why regional divergence and house prices are related. In the model, high interstate inequality raises rents on average because relative demand for living in a high-income state increases and housing supply in low-income states is elastic. Regional divergence leads to higher expected future interstate inequality, which implies higher expected future rents, and therefore, higher current house prices. The model accurately predicts rents since 1929, which are quite different than prices, as well as cross-sectional moments of prices, rents, construction, and migration.

In this paper, I investigate to what extent heterogeneity in both long-term care (LTC) needs and informal care support affects the savings decisions of the old. For this purpose, I develop and estimate a model of retired single individuals where agents are exposed to physical and/or cognitive health deterioration that triggers demand for LTC. To cope with LTC, agents differ in the amount of informal care provided by relatives and can purchase formal care at a market price to supplement this. I find that (i) LTC is relatively more important than bequest motives in explaining the lack of dissaving of individuals with limited access to informal care, (ii) concurrent cognitive and physical limitations account for most of the precautionary savings related to LTC, and (iii) Abstracting from informal care provision from relatives overestimates the welfare gains from expansions in government-provided means-tested care programs.

We develop a model with control-contingent forward guidance: the central bank explicitly anchors future policy announcements to short run inflation. Even though the model features past promises, we compute a closed form solution using a simple Markov chain representation. This allows us to show analytically that control-contingent forward guidance can rid the model of sunspot liquidity traps. The same holds for a policy of price level targeting, which emerges as a special case. Finally, we leverage this new framework to formally show that announced interest rates are only a means to an end: what truly matters is expected inflation.

We review research on the dynamics and distribution of individual earnings and family income. We start with univariate earnings models, which dominate the literature and are often used as the exogenous component of family income in structural models of saving. We present a version of the linear model that nests most of the specifications that have been used in the literature, and then discuss recent papers that stress nonnormal shocks, nonlinear and age-dependent processes, and heterogeneous model parameters. The recent work provides a much richer description of the nature of earnings volatility than the basic model. We then turn to models of individual earnings that are based on wages, employment, job mobility, and hours. These multivariate models permit measuring the sources of permanent differences in earnings and distinguishing among shocks that influence earnings through employment, job mobility, general productivity, or hours. Finally, we consider models of lifetime family income that integrate individual earnings, marriage (accounting for marital sorting), and earnings of a spouse, if present. We conclude by discussing directions for future work.

Documenting an average drop of the labor share of eight percentage points for eight European countries and the US between 1980 and 2007, we analyze the role of technological progress and labor market frictions. According to our results, while capital-labor substitution in general was not crucial, Information Communication Technology (ICT) explains more than half of the decline in the labor share, given an estimated elasticity of substitution with the labor input of 1.18. Considering hiring costs slightly dampens the estimated substitution effect at aggregate level. Additionally, by modeling the substitution between ICT and labor with a set of key labor market variables, we find it to be linked to both the share of routine occupations (positively) and the share of high-skill workers (negatively) with a similar strength.

Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the US built around the Current Population Survey (CPS). The RPS replicates core components of the CPS, ensuring comparable measures that allow us to weight and rigorously validate our results using a high-quality benchmark. At the same time, special questions in the RPS yield novel information regarding employer reallocation during the COVID-19 pandemic. We estimate that 26% of pre-pandemic workers were working for a new employer one year into the COVID-19 outbreak in the US, at least double the rate of any previous episode in the past quarter century. Our discussion contains practical suggestions for the design of novel labor market surveys and highlights other promising applications of our methodology.

This paper uses a search-theoretic model to study conditions under which cryptocurrency is valued and under which it coexists with fiat money. In my model, a cryptocurrency economy is one in which private agents' decisions determine the stock of money and in which the marginal cost of producing money is increasing in the existing nominal stock. I show that the inflation rate of cryptocurrency must be zero in a stationary monetary equilibrium. This result is in sharp contrast to models with fiat money in which the stock of money is exogenously given. In fiat money economies, the inflation rate is determined by the rate of growth of the money stock. My result is also in sharp contrast with other types of private money economies, in which the inflation rate must necessarily be different from zero. In such private money economies, the cost of producing additional money does not depend on the existing nominal stock. Moreover, I show that cryptocurrency and fiat money can circulate at the same time and that the rates of return on these two assets may not be the same. Competition with cryptocurrency restricts the government's ability to over-issue fiat money and thereby might improve on pure fiat money equilibria without government commitment.