Research Database

In this paper, we present a model where individuals accumulate human capital through the formal schooling. To take into account the large involvement of the public sector in education we introduce a government which collects taxes from households and provides inputs to the learning technology. In our model the public expenditures on schools and growth rates are determined endogenously. Under plausible restrictions on the parameters of our model, we show that the predictions of our model qualitatively match the observations on per capita income, years of schooling, public expenditures on education and student-teacher ratios.

We use a simple model to show why previous empirical studies of budget policy effects are flawed. Due to an identification problem, those studies' findings can be shown to be consistent with policies either mattering or not. We argue that this problem is difficult and not likely to be resolved soon.

A classic example of a privately created interbank payments system was operated by the Suffolk Bank of New England (1825–58). Known as the Suffolk Banking System, it was the nation’s first regionwide net-clearing system for bank notes. While it operated, notes of all New England banks circulated at par throughout the region. Some have concluded from this experience that unfettered competition in the provision of payments services can produce an efficient payments system. But another look at the history of the Suffolk Banking System questions this conclusion. The Suffolk Bank earned extraordinary profits, and note-clearing may have been a natural monopoly. There is no consensus in the literature about whether unfettered operation of markets with natural monopolies produces an efficient allocation of resources.

When marginal utility of consumption depends on leisure, investors will take this into account when allocating their wealth among different assets. This paper presents a multi-country general equilibrium model driven by productivity shocks, where labor-leisure and consumption are chosen endogenously. We use this framework to study the effect of leisure for optimal international diversification. We find that in the symmetric case the model’s ability to help explain home-bias depends crucially on the level of substitutability between consumption and leisure.

This article estimates the benefits of reducing U.S. inflation below its current level when the government simultaneously raises another distortionary tax. Other researchers have suggested that reducing inflation would have fairly large benefits—from 1 to 3 percent of gross domestic product. But that result depends on the unrealistic assumption that the government would replace inflation with a lump-sum tax, one which does not affect people's incentives. If, instead, inflation is replaced with an increase in the labor income tax, then the welfare gains that can be expected from reducing inflation below its current level are much smaller—from one-third to one-half of 1 percent of gross domestic product.

This article describes a new way to use monthly data to improve the national forecasts of quarterly economic models. This new method combines the forecasts of a monthly model with those of a quarterly model using weights that maximize forecasting accuracy. While none of the method's steps is new, it is the first method to include all of them. It is also the first method to be shown to improve quarterly model forecasts in a statistically significant way. And it is the first systematic forecasting method to be shown, statistically, to forecast as well as the popular survey of major economic forecasters published in the Blue Chip Economic Indicators newsletter. The method was designed for use with the quarterly model maintained in the Research Department of the Minneapolis Federal Reserve Bank, but can be tailored to fit other models. The Minneapolis Fed model is a Bayesian-restricted vector autoregression model.

A quantitative investigation of investment-specific technological change for the U.S. postwar period is undertaken, analyzing both long-term growth and business cycles within the same framework. The premise is that the introduction of new, more efficient capital goods is an important source of productivity change, and an attempt is made to disentangle its effects from the more traditional Hicks-neutral form of technological progress. The balanced growth path for the model is characterized and calibrated to U.S. National Income and Product Account data. The long- and short-run U.S. data are then interpreted through the eyes of this framework. The analysis suggests that investment-specific change accounts for a large part of U.S. growth and is a significant factor in U.S. business cycle fluctuations.

The Great Depression in the United States was largely the result of changes in economic institutions that lowered the normal or steady-state market hours per person over 16. The difference in steady-state hours in 1929 and 1939 is over 20 percent. This is a large number, but differences of this size currently exist across the rich industrial countries. The somewhat depressed Japanese economy of the 1990s could very well be the result of workweek length constraints that were adopted in the early 1990s. These constraints lowered steady-state market hours. The failure of the Japanese people to display concern with the performance of their economy suggests that this reduction is what the Japanese people wanted. This is in sharp contrast with the United States in the 1930s when the American people wanted to work more.

In this paper we study the dynamic behavior of stock returns and volatility in emerging financial markets. In particular, we focus our attention on the following questions:

o Does stock return volatility in emerging markets change over time? If so, are volatility changes predictable?

o How frequent are big surprises in emerging stock markets?

o Is there any relationship between market risk and expected returns?

o Has liberalization affected return volatility in emerging financial markets?

Our findings can be summarized as follows. First, there is strong evidence of predictable time-varying volatility in almost all countries. In general, changes in volatility are highly persistent. Second, a fat-tailed distribution improves the fitting ability of the model. Third, investors are not rewarded for market-wide risk. Finally, we do not find any systematic effect of liberalization on stock market volatility.

Results in Lucas (1987) suggest that if public policy can affect the growth rate of the economy, the welfare implications of alternative policies will be large. In this paper, a stochastic, dynamic general equilibrium model with endogenous growth and money is examined. In this setting, inflation lowers growth through its effect on the return to work. However, the welfare costs of higher inflation are modest.

This paper examines whether the U.S. banking industry's recent consolidation trend—toward fewer and bigger firms—is a natural result of market forces. The paper finds that it is not: The evidence does not support the popular claims that large banking firms are more efficient and less risky than smaller firms or the notion that the industry is consolidating in order to eliminate excess capacity. The paper suggests, instead, that public policies are encouraging banks to merge, although it acknowledges that other forces may be at work as well.

We examine the results of four static applied general equilibrium (AGE) modeling teams' analyses of the effects of NAFTA. What they show is that Mexico's economy, because it's the smallest, will see the biggest NAFTA-produced increase in economic welfare: from 2 to 5 percent of GDP. The U.S. welfare increase will be small, around 0.1 percent of GDP; Canada will notice no welfare increase due to NAFTA. We then discuss two examples of dynamic phenomena—labor force adjustment and capital flows—which are likely to influence NAFTA's welfare impact, but that aren't easy to incorporate into static AGE models. Early results indicate that this is an important direction for future study.

A pairwise random matching game is considered to identify the social environments that give rise to the social custom and fashion cycles. The game, played by Conformists and Nonconformists, can generate a variety of socially stable behavior patterns. In the path-dependence case, Conformists set the social custom and Nonconformists revolt against it; what action becomes the custom is determined by “history.” In the limit cycle case, Nonconformists become fashion leaders and switch their actions periodically, while Conformists follow with delay. The outcome depends on the relative share of Conformists to Nonconformists as well as their matching patterns.

This paper examines a two-country, monetary general-equilibrium model that includes a financial sector, capital mobility, and shocks to technologies and money-growth rates. Capital mobility allows agents in both countries to participate in rewards from relatively favorable shocks realized in either country. Currency exchange facilitates currency-intermediated international trade of consumption and capital goods. Qualitative and quantitative implications of the model for evolutions of variables are investigated. The quantitative analysis is performed by numerically solving and simulating the model. We focus on international monetary shock transmissions, and effects of monetary innovations on interest rates and nominal and real exchange rates.

This paper, originally published in 1988, argues that there is nothing special about government-issued money, that without restrictions of some kind, privately issued money would be a perfect substitute for it. The paper describes the type of intermediation this argument implies for a laissez-faire economy. One important implication is that there would be only one risk-adjusted rate of return; either all assets would pay a low return to match that on money, or money would pay interest. Another important implication is that open market operations would be irrelevant. The paper argues that the reason we don't frequently observe economies with such characteristics is that governments generally impose restrictions which prevent the private issue of money. However, the paper does examine some historical periods when restrictions seemingly were not imposed. And it concludes with some reservations about the oversimplifying suggestion.

This study shows that in a standard one-sector neoclassical growth model, in which money is introduced with a cash-in-advance constraint, zero nominal interest rates are optimal. Milton Friedman argued in 1969 that zero nominal rates are necessary for efficient resource allocation. This study shows that they are not only necessary but sufficient. The study also characterizes the monetary policies that will implement zero rates. The set of such policies is quite large. The only restriction these policies must satisfy is that asymptotically money shrinks at a rate no greater than the rate of discount.

We provide an investigation of duration dependence in prewar business expansions, contractions, and whole cycles for France, Germany, and Great Britain. Our results, obtained using both nonparametric and parametric procedures, generally indicate the presence of positive duration dependence in expansions and whole cycles but not in contractions. Our results corroborate those of our earlier studies of the United States.

We consider four models of consumption that differ with respect to efficient risk-sharing and altruism. They range from complete markets with altruism to family risk-sharing. We use a matched sample of parents and independent children available from the Panel Study of Income Dynamics to discriminate between the four models. Our testing procedure is designed to deal with the set of observed independent children being endogenously selected. The combined hypothesis of complete markets and altruism can be decisively rejected, while we fail to reject altruism and hence family risk-sharing for a subset of families.

This paper critically reevaluates recent claims that the postwar U.S. price level exhibits countercyclicality. While overall countercyclicality is confirmed, temporal disaggregation suggests a shift from pro- to countercyclicality in the early 1970s. Furthermore, the countercyclicality is markedly more pronounced for negative than for positive output innovations. The evidence thus casts doubt on single-source business cycle explanations.

This paper builds a simple but complete model of a political system to analyze the effects of intergenerational conflicts on capital and labor income tax rates, transfers, and government spending. I show how the different nature of tax liabilities for the young and the old can explain why the old receive large gross lump-sum transfers through social security, while the young receive little or none. I also show that there is a natural link between the size of the government as a provider of public goods and the magnitude of transfers that the same government will implement.

A general class of Markov switching regime time series models is presented that allows one to estimate the nontrivial interdependencies between different types of cycles which make the economy grow at an unsteady rate. The paper further explores results obtained in Ghysels (1991b) suggesting that the economy transits from recessions to expansions with an uneven propensity throughout the year. It is also built on the work of Hamilton (1989) who proposed a stochastic switching-regime model for GNP and has important connections with hidden periodic structures discussed by Tiao and Grupe (1980) or Hansen and Sargent (1990), for instance. The time series models we present may have periodic transition probabilities and the drifts may be seasonal. In the latter case, the model exhibits seasonal dummy variation that may change with the stage of the business cycle. While the model is intrinsically nonlinear and stochastic, it produces a linear representation with seasonal effects that appear to be deterministic. The paper provides an elaborate discussion of the regularity conditions for a well-defined covariance structure including explicit formula for characterizing first and second moments. Finally, we present empirical evidence using U.S. GNP data series which tends to support a periodic structure for switching probabilities. The most significant result is the following: it is found that the seasonal in GNP growth significantly affects switching probabilities for regime switches in the nonseasonal growth of GNP. We also analyze the out-of-sample forecast performance of the different models and find that the models exploiting seasonality in transition probabilities perform best.

In this paper we develop a discretized version of the dynamic programming algorithm and derive error bounds for the approximate value and policy functions. We show that under the proposed scheme the computed value function converges quadratically to the true value function and the computed policy function converges linearly, as the mesh size of the discretization converges to zero. Moreover, the constants involved in these orders of convergence can be computed in terms of primitive data of the model. We also discuss several aspects of the implementation of our methods, and present numerical results for some commonly studied macroeconomic models.

This article argues that fiat money’s only technological role in an economy is to act as societal memory: money allows people to credibly record some aspects of their transactions and make that record accessible to other people. This record-keeping role is demonstrated in the three standard paradigms of fiat money: the overlapping generations, turnpike, and search models. In these models, if a new economy is created by removing the money and replacing it only with a historical record of all transactions, known to everyone in the economy, then the original monetary allocation is still achievable as an equilibrium.

A version of the Diamond-Dybvig model of banking is used to evaluate the narrow banking proposal, the idea that banks should be required to back demand deposits entirely by safe short-term assets. It is shown that the mere existence of an amount of safe short-term assets outside the banking system that exceeds banking system liabilities does not make the proposal either innocuous or desirable. In fact, despite such existence, using narrow banking to cope with banking system illiquidity eliminates the role of the banking system.

This essay explains the use of fiat money, or why intrinsically useless objects are accepted as payment in transactions. People accept a particular object as a means of payment because others do: social conventions matter more than the intrinsic characteristics of the object itself. Not everything can become a fiat money, though. If an object is especially costly to hold, for example, it will not be accepted as a means of payment. This explanation of fiat money is illustrated in a simple theoretical economic model.

In 1995, Robert E. Lucas, Jr., was awarded the Nobel Prize in Economic Sciences. This review places Lucas’ work in a historical context and evaluates the effect of this work on the economics profession. Lucas’ central contribution is that he developed and applied economic theory to answer substantive questions in macroeconomics. Economists today routinely analyze systems in which agents operate in complex probabilistic environments to understand interactions about which the great theorists of an earlier generation could only speculate. This sea change is due primarily to Lucas.

This paper shows how standard methods can be used to formulate and estimate a dynamic index model for random fields—stochastic processes indexed by time and cross section where the time-series and cross-section dimensions are comparable in magnitude. We use these to study dynamic comovements of sectoral employment in the U.S. economy. The dynamics of employment in sixty sectors is well explained using only two unobservable factors; those factors are also strongly correlated with GNP growth.

This article documents a delay in the public release of Mexican international reserve data in the months before Mexico's debt crisis at the end of 1994. The article establishes that in that year investors did not know the level of Mexican reserves before October; yet this lack of information did not seem to reduce investor confidence in the Mexican economy. The article does not establish whether the delay in releasing reserve data was due to logistical problems or to a government strategy. The possibility that the delay was strategic is evaluated by developing an economic model that captures some of the principal constraints facing the Mexican government in 1994 and that makes explicit the conflicting objectives of the government and investors. The model shows that in such an environment with private information, strategic delay can occur in equilibrium if investors are uncertain about the cause of the delay.