Federal Reserve Bank of Richmond

This paper determines when a debt contract will be monitored by lenders. This is the choice between borrowing directly (issuing a bond, without monitoring) and borrowing through a bank that monitors to alleviate moral hazard. This provides a theory of bank loan demand and of the role of monitoring in circumstances in which reputation effects are important. A key result is that borrowers with credit ratings toward the middle of the spectrum rely on bank loans, and in periods of high interest rates or low future profitability, higher-rated borrowers choose to borrow from banks. Copyright 1991 by University of Chicago Press.

Economists have long suggested that nominal product prices are changed infrequently because of fixed costs. In such a setting, optimal price adjustment should depend on the state of the economy. Yet, while widely discussed, state-dependent pricing has proved difficult to incorporate into macroeconomic models. This paper develops a new, tractable theoretical state-dependent pricing frame-work. We use it to study how optimal pricing depends on the persistence of monetary shocks, the elasticities of labor supply and goods demand, and the interest sensitivity of money demand. I.

We study the after-trading-cost performance of anomalies and the effectiveness of transaction cost mitigation techniques. Introducing a buy/hold spread, with more stringent requirements for establishing positions than for maintaining them, is the most effective cost mitigation technique. Most anomalies with less than 50% turnover per month generate significant net spreads when designed to mitigate transaction costs; few with higher turnover do. The extent to which new capital reduces strategy profitability is inversely related to turnover, and strategies based on size, value, and profitability have the greatest capacity to support new capital. Transaction costs always reduce strategy profitability, increasing data-snooping concerns. Received January 28, 2015; accepted September 30, 2015 by Editor Andrew Karolyi.

We quantify the effect of recourse on default and find that recourse affects default by lowering the borrower's sensitivity to negative equity. At the mean value of the default option for defaulted loans, borrowers are 30% more likely to default in non-recourse states. Furthermore, for homes appraised at $500, 000 to $750, 000, borrowers are twice as likely to default in non-recourse states. We also find that defaults are more likely to occur through a lender-friendly procedure, such as a deed in lieu, in states that allow deficiency judgments. We find no evidence that mortgage interest rates are lower in recourse states. The Author 2011. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com., Oxford University Press.

ABSTRACT We propose a model in which assets with identical cash flows can trade at different prices. Infinitely lived agents can establish long positions in a search spot market, or short positions by first borrowing an asset in a search repo market. We show that short‐sellers can endogenously concentrate in one asset because of search externalities and the constraint that they must deliver the asset they borrowed. That asset enjoys greater liquidity, a higher lending fee (“specialness”), and trades at a premium consistent with no‐arbitrage. We derive closed‐form solutions for small frictions, and provide a calibration generating realistic on‐the‐run premia.

This paper analyzes the role of variable capital utilization rates in propagating shocks over the business cycle. To this end we formulate and estimate an equilibrium business cycle model in which cyclical capital utilization rates are viewed as a fonn of factor hoastling. We find that variable capital utilization rates substantially magnify and propagate the impact of shocks to agents' environments. The strength of these propagation effects is evident in the dynamic response functions of various economy wide aggregates to shocks in agents' environments, in the statistics that we construct to summarize the strength of the propagation mechanisms in the model and in the volatility of exogenous technology shocks needed to explain the observed variability in aggregate U.S. output Other authors have argued that standard Real BusinessCycle (RBC) models fail to account for certain features of the data because they do not embody quantitatively important propagation mechanisms. These features include the observed positive serial correlation in the growth rate of output, the shape of the specuum of the growth rate of real output and the correlation between the forecastable component of real output and various other economic aggregates. Allowing for variable capital utilization rates substantially improves the ability of the model to account for these features of the data.

In the past ten years, researchers have explored the impact of data revisions in many different contexts. Researchers have examined the properties of data revisions, how structural modeling is affected by data revisions, how data revisions affect forecasting, the impact of data revisions on monetary policy analysis, and the use of real-time data in current analysis. This paper summarizes many of the questions for which real-time data analysis has provided answers. In addition, researchers and institutions have developed better real-time data sets around the world. Still, additional research is needed in key areas and research to date has uncovered even more fruitful areas worth exploring. (JEL C52, C53, C80, E01)

We study the impact of intersectoral and interregional trade linkages in propagating disaggregated productivity changes to the rest of the economy. Using U.S. regional and industry data, we obtain the aggregate, regional and sectoral elasticities of measured total factor productivity, GDP, and employment to regional and sectoral productivity changes. We find that the elasticities vary significantly depending on the sectors and regions affected, and are importantly determined by the spatial structure of the economy. We use our calibrated model to perform a variety of counterfactual exercises including several specific studies of the aggregate and disaggregate effects of shocks to productivity and infrastructure. The specific episodes we study include the boom in California’s computer industry, the productivity boom in North Dakota associated with the shale oil boom, the disruptions in New York’s finance and real state industries during the 2008 crisis, as well as the effect of the destruction of infrastructure in Louisiana following hurricane Katrina.

We propose a new measure of frictional wage dispersion: the meanmin wage ratio. For a large class of search models, we show that this measure is independent of the wage-offer distribution but depends on statistics of labor-market turnover and on preferences. Under plausible preference parameterizations, observed magnitudes for worker flows imply that in the basic search model, and in most of its extensions, frictional wage dispersion is very small. Notable exceptions are some of the most recent models of on-the-job search. Our new measure allows us to rationalize the diverse empirical findings in the large literature estimating structural search models. (JEL D81, D83, J31, J41, J64)

We develop a stochastic, general equilibrium, two-country model of trade and macroeconomic dynamics. Productivity differs across individual, monopolistically competitive firms in each country.

At the aggregate level, the labor‐supply elasticity depends on the reservation‐wage distribution. We present a model economy where workforce heterogeneity stems from idiosyncratic productivity shocks. The model economy exhibits the cross‐sectional earnings and wealth distributions that are comparable to those in the micro data. We find that the aggregate labor‐supply elasticity of such an economy is around 1, greater than a typical micro estimate.

Optimal monetary policy maximizes the welfare of a representative agent, given frictions in the economic environment. Constructing a model with two sets of frictions—costly price adjustment by imperfectly competitive firms and costly exchange of wealth for goods—we find optimal monetary policy is governed by two familiar principles. First, the average level of the nominal interest rate should be sufficiently low, as suggested by Milton Friedman, that there should be deflation on average. Yet, the Keynesian frictions imply that the optimal nominal interest rate is positive. Second, as various shocks occur to the real and monetary sectors, the price level should be largely stabilized, as suggested by Irving Fisher, albeit around a deflationary trend path. Since expected inflation is roughly constant through time, the nominal interest rate must therefore vary with the Fisherian determinants of the real interest rate. Although the monetary authority has substantial leverage over real activity in our model economy, it chooses real allocations that closely resemble those which would occur if prices were flexible. In our benchmark model, there is some tendency for the monetary authority to smooth nominal and real interest rates. Copyright 2003, Wiley-Blackwell.

Using data compiled from concentrated residential urban revitalization programs implemented in Richmond, Virginia, between 1999 and 2004, we study residential externalities. We estimate that housing externalities decrease by half approximately every 1,000 feet. On average, land prices in neighborhoods targeted for revitalization rose by 2–5 percent at an annual rate above those in a control neighborhood. These increases translate into land value gains of between $2 and $6 per dollar invested in the program over a 6‐year period. We provide a simple theory that helps us estimate and interpret these effects in terms of the parameters of the model.

To address how technological progress in financial intermediation affects the economy, a costly-state verification framework is embedded into the standard growth model. The framework has two novel ingredients. First, firms differ in the risk/return combinations that they offer. Second, the efficacy of monitoring depends upon the amount of resources invested in the activity. A financial theory of firm size results. Undeserving firms are over-financed, deserving ones under-funded. Technological advance in intermediation leads to more capital accumulation and a redirection of funds away from unproductive firms toward productive ones. With continued progress, the economy approaches its first-best equilibrium. (JEL G21, G31, O16, O33, O41)

We explore two channels through which increases in the rate of investment-specific technological change can lead to decreases in measured productivity growth. The first channel is learning; with an increase in the rate of adoption more resources are devoted to new technologies where experience is low. As a result, labor productivity and TFP growth fall temporarily. Second, if the unmeasured quality of final outputs depends significantly on capital input, then declines in productivity growth will be recorded as the growth rate of capital goes up. We document the recent productivity slowdown in the United States and elsewhere and discuss evidence suggesting that an increase in the rate of investment-specific technological change may have occurred at about the same time as the slowdown began. We then use a simple, parameterized vintage capital model in order to gauge the potential importance of this phenomenon for productivity measurements.

K ey classical macroeconomic hypotheses specify that permanentchanges in nominal variables have no effect on real economic vari-ables in the long run. The simplest “long-run neutrality ” proposition specifies that a permanent change in the money stock has no long-run con-sequences for the level of real output. Other classical hypotheses specify that a permanent change in the rate of inflation has no long-run effect on unem-ployment (a vertical long-run Phillips curve) or real interest rates (the long-run Fisher relation). In this article we provide an econometric framework for study-ing these classical propositions and use the framework to investigate their relevance for the postwar U.S. experience. Testing these propositions is a subtle matter. For example, Lucas (1972) and Sargent (1971) provide examples in which it is impossible to test long-run neutrality using reduced-form econometric methods. Their examples feature rational expectations together with short-run nonneutrality and exogenous vari-ables that follow stationary processes so that the data generated by these models do not contain the sustained changes necessary to directly test long-run neu-trality. In the context of these models, Lucas and Sargent argued that it was

This paper quantifies employer market power in US manufacturing and how it has changed over time. Using administrative data, we estimate plant-level markdowns—the ratio between a plant’s marginal revenue product of labor and its wage. We find most manufacturing plants operate in a monopsonistic environment, with an average markdown of 1.53, implying a worker earning only 65 cents on the marginal dollar generated. To investigate long-term trends for the entire sector, we propose a novel, theoretically grounded measure for the aggregate markdown. We find that it decreased between the late 1970s and the early 2000s, but has been sharply increasing since. (JEL J24, J31, J38, J42, L13, L60)

Why do the countries of the world display considerable disparity in long term growth rates? This paper examines the hypothesis that the answer lies in differences in national public policies which affect the incentives that individuals have to accumulate capital in both its physical and human forms. Our analysis shows that these incentive effects can induce large difference in long run growth rates. Since many of the key tax rates are difficult to measure, our procedure is an indirect one

An understanding of the qualitative nature of the transitional dynamics of the neociassical model - the process of convergence from an initial capital stock to a steady state growth path - is a key part of the shared knowledge of most economists. It forms the basis, for example, of the widespread interest in hypotheses about convergence of levels of national economic activity. Based on several quantitative experiments undertaken in the 1960s with fixed savings rates versions of the neoclassical model, many economists further believe that the transition process can be lengthy, potentially rationalizing differences in growth rates across countries that are sustained for decades. In this paper, we undertake a systematic quantitative investigation of transitional dynamics within the most widely employed versions of the neoclassical model with interteorally optimizing households. Lengthy transitional episodes arise only if there is very low intertemporal substitution. But, more important, we find that the simplest neoclassical model inevitably generates a central implication that is traced to the production technology. Whenever we try to use it to explain major growth episodes, the model produces a rate of return that is counterfactually high in the early stages of development. For example, in seeking to account for U.S-Japan differences in post war growth as a consequence of differences in end-of-war capital, we find that the immediate postwar rate of return in Japan would have had to exceed 500% per annum. Frequently employed variants of the basic neoclassical model - those that introduce adjustment costs, separate production and consumption sectors, and international capital mobility - can potentially sweep this marginal product implication under the rug. However, such alterations necessarily cause major discrepancies to arise in other areas. With investment adjustment costs, for example, the implications resurface in counterfactual variations in Tobin's Q. We interpret our results as illustrating two important principles. First, systematic quantitative investigation of familiar models can provide surprising new insights into their practical operation. Second, explanation of sustained cross country differences in growth rates will require departure from the familiar neoclassical environment.

Although end-of-life medical spending is often viewed as a major component of aggregate medical expenditure, accurate measures of this type of medical spending are scarce. We used detailed health care data for the period 2009-11 from Denmark, England, France, Germany, Japan, the Netherlands, Taiwan, the United States, and the Canadian province of Quebec to measure the composition and magnitude of medical spending in the three years before death. In all nine countries, medical spending at the end of life was high relative to spending at other ages. Spending during the last twelve months of life made up a modest share of aggregate spending, ranging from 8.5 percent in the United States to 11.2 percent in Taiwan, but spending in the last three calendar years of life reached 24.5 percent in Taiwan. This suggests that high aggregate medical spending is due not to last-ditch efforts to save lives but to spending on people with chronic conditions, which are associated with shorter life expectancies.