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Abstract:
The success over the years in reducing inflation and, consequently, the average level of nominal interest rates has increased the likelihood that the nominal policy interest rate may become constrained by the zero lower bound. When that happens, a central bank can no longer stimulate aggregate demand by further interest-rate reductions and must rely on non-standard policy alternatives. To assess the potential effectiveness of such policies, we analyze the behavior of selected asset prices over short periods surrounding central bank statements or other types of financial or economic news and estimate no-arbitrage models of the term structure for the United States and Japan. There is some evidence that central bank communications can help to shape public expectations of future policy actions and that asset purchases in large volume by a central bank would be able to affect the price or yield of the targeted asset.

Deflation, zero bound, monetary policy, term structure, policy expectations

Abstract:
This paper analyzes the impact of unanticipated changes in the federal funds rate target on equity prices, with the aim of both estimating the size of the typical reaction and understanding the reasons for the market's response. We find that over the June 1989-December 2002 sample period, a typical unanticipated rate cut of 25 basis points is associated with an increase of roughly 1 percent in the level of stock prices, as measured by the CRSP value-weighted index. There is some evidence of a stronger stock price response to changes in rates that are expected to be more permanent or that represent a reversal in the direction of rate changes. The estimated response of stock prices to fund rate surprises varies widely across industries, but in a manner consistent with the predictions of the standard capital asset pricing model. Applying the methods of Campbell (1991) and Campbell and Ammer (1993), we find that most of the effect of monetary policy on stock prices can be traced to its implications for forecasted equity risk premiums. Some effect can be traced to the implications of monetary policy surprises for forecasted dividends, but very little stems from the impact of policy on expectations of the real rate of interest.

monetary policy, stock prices

Abstract:
This paper analyzes the impact of changes in monetary policy on equity prices, with the objectives both of measuring the average reaction of the stock market and also of understanding the economic sources of that reaction. We find that, on average, a hypothetical unanticipated 25-basis-point cut in the federal funds rate target is associated with about a one percent increase in broad stock indexes. Adapting a methodology due to Campbell (1991) and Campbell and Ammer (1993), we find that the effects of unanticipated monetary policy actions on expected excess returns account for the largest part of the response of stock prices.

Abstract:
This paper develops a dynamic general equilibrium model that is intended to help clarify the role of credit market frictions in business fluctuations, from both a qualitative and a quantitative standpoint. The model is a synthesis of the leading approaches in the literature. In particular, the framework exhibits a financial accelerator,' in that endogenous developments in credit markets work to amplify and propagate shocks to the macroeconomy. In addition, we add several features to the model that are designed to enhance the empirical relevance. First, we incorporate money and price stickiness, which allows us to study how credit market frictions may influence the transmission of monetary policy. In addition, we allow for lags in investment which enables the model to generate both hump-shaped output dynamics and a lead-lag relation between asset prices and investment, as is consistent with the data. Finally, we allow for heterogeneity among firms to capture the fact that borrowers have differential access to capital markets. Under reasonable parametrizations of the model, the financial accelerator has a significant influence on business cycle dynamics.

Abstract:
We explore the implications of asset price volatility for the management of monetary policy. We show that it is desirable for central banks to focus on underlying inflationary pressures. Asset prices become relevant only to the extent they may signal potential inflationary or deflationary forces. Rules that directly target asset prices appear to have undesirable side effects. We base our conclusions on (i) simulation of different policy rules in a small scale macro model and (ii) a comparative analysis of recent U.S. and Japanese monetary policy.

Abstract:
Recently, research on the causes of the Great Depression has shifted from a heavy emphasis on events in the United States to a broader, more comparative approach that examines the interwar experiences of many countries simultaneously. In this lecture I survey the current state of our knowledge about the Depression from a comparative perspective. On the aggregate demand side of the economy, comparative analysis has greatly strengthened the empirical case for monetary shocks as a major driving force of the Depression; an interesting possibility suggested by this analysis is that the worldwide monetary collapse that began in 1931 may be interpreted as a jump from one Nash equilibrium to another. On the aggregate supply side, comparative empirical studies provide support for both induced financial crisis and sticky nominal wages as mechanisms by which nominal shocks had real effects. Still unresolved is why nominal wages did not adjust more quickly in the face of mass unemployment.

Abstract:
The 'credit channel' theory of monetary policy transmission holds that informational frictions in credit markets worsen during tight- money periods. The resulting increase in the external finance premium--the difference in cost between internal and external funds-- enhances the effects of monetary policy on the real economy. We document the responses of GDP and its components to monetary policy shocks and describe how the credit channel helps explain the facts. We discuss two main components of this mechanism, the balance-sheet channel and the bank lending channel. We argue that forecasting exercises using credit aggregates are not valid tests of this theory.

Abstract:
Recent research has provided strong circumstantial evidence for the proposition that sustained deflation -- the result of a mismanaged international gold standard -- was a major cause of the Great Depression of the 1930s. Less clear is the mechanism by which deflation led to depression. In this paper we consider several channels, including effects operating through real wages and through interest rates. Our focus, however, is on the disruptive effect of deflation on the financial system, particularly the banking system. Theory suggests that falling prices, by reducing the net worth of banks and borrowers, can affect flows of credit and thus real activity. Using annual data for twenty-four countries, we confirm that countries which (for historical or institutional reasons) were more vulnerable to severe banking panics also suffered much worse depressions, as did countries which remained on the gold standard. We also find that there may have been a feedback loop through which banking panics, particularly those in the United States, intensified the worldwide deflation.

Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

Abstract:
Standard models of aggregate demand treat money and credit asymmetrically; money is given a special status, while loans, bonds, and other debt instruments are lumped together in a "bond market" and suppressed by Walras` Law. This makes bank liabilities central to the monetary transmission mechanism, while giving no role to bank assets. We show how to modify a textbook IS-UI model so as to permit a more balanced treatment. As in Tobin (1969) and Brunner-Meltzer (1972), the key assumption is that loans and bonds are imperfect substitutes. In the modified model, credit supply and demand shocks have independent effects on aggregate demand; the nature of the monetary transmission mechanism is also somewhat different. The main policy implication is that the relative value of money and credit as policy indicators depends on the variances of shocks to money and credit demand. We present some evidence that money-demand shocks have become more important relative to credit-demand shocks during the 1980s.

Abstract:
This paper examines the effects of the financial crisis of the 1930s onthe path of aggregate output during that period. Our approach is complementary to that of Friedman and Schwartz, who emphasized the monetary impact of the bank failures; we focus on non-monetary (primarily credit-related) aspects of the financial sector--output link and consider the problems of debtors as well as those of the banking system. We argue that the financial disruptions of 1930-33 reduced the efficiency of the credit allocation process; and that the resulting higher cost and reduced availability of credit acted to depress aggregate demand. Evidence suggests that effects of this type can help explain the unusual length and depth of the Great Depression.

Abstract:
Is long-run economic growth exogenous? To address this question, we show that the empirical framework of Mankiw, Romer, and Weil (1992) can be extended to test any growth model that admits a balanced growth path; and we use that framework both to revisit variants of the Solow growth model and to evaluate simple alternative models of endogenous growth. To allow for the possibility that economies in our sample are not on their balanced growth paths, we also study the cross-sectional behavior of TFP growth, which we estimate using alternative measures of labor's share. Our broad conclusion, based on both model estimation and growth accounting, is that long-run growth is significantly correlated with behavioral variables such as the savings rate, and that this correlation is not easily explained by models in which growth is treated as the exogenous variable. Hence, future empirical studies should focus on models that exhibit endogenous growth.

Abstract:
In recent years a number of industrialized countries have adopted a strategy for monetary policy known as `inflation targeting.' We describe how this approach has been implemented in practice and argue that it is best understood as a broad framework for policy, which allows the central bank `constrained discretion,' rather than as an ironclad policy rule in the Friedman sense. We discuss the potential of the inflation-targeting approach for making monetary policy more coherent and transparent, and for increasing monetary policy discipline. Our final section addresses some additional practical issues raised by this approach.

Abstract:
Bad economic times are typically associated with a high incidence of financial distress, e.g., insolvency and bankruptcy. This paper studies the role of changes in borrower solvency in the initiation and propagation of the business cycle. We first develop a model of the process of financing real investment projects under asymmetric information, extending work by Robert Townsend. A major conclusion here is that when the entrepreneurs who borrow to finance projects are more solvent (have more "collateral"), the deadweight agency costs of investment finance are lower. This model of investment finance is then embedded in a dynamic macroeconomic setting. We show that, first, since reductions in collateral in bad times increase the agency costs of borrowing, which in turn depress the demand for investment, the presence of these financial factors will tend to amplify swings in real output. Second, we find that autonomous factors which affect the collateral of borrowers (as in a "debt-deflation") can actually initiate cycles in output.

Abstract:
Extending the approach of Bernanke and Blinder (1992), Strongin (1992), and Christiano, Eichenbaum, and Evans (1994a, 1994b), we develop and apply a VAR-based methodology for measuring the stance of monetary policy. More specifically, we develop a 'semi-structural' VAR approach, which extracts information about monetary policy from data on bank reserves and the federal funds rate but leaves the relationships among the macroeconomic variables in the system unrestricted. The methodology nests earlier VAR-based measures and can be used to compare and evaluate these indicators. It can also be used to construct measures of the stance of policy that optimally incorporate estimates of the Fed's operating procedure for any given period. Among existing approaches, we find that innovations to the federal funds rate (Bernanke-Blinder) are a good measure of policy innovations during the periods 1965-79 and 1988-94; for the period 1979-94 as a whole, innovations to the component of nonborrowed reserves that is orthogonal to total reserves (Strongin) seems to be the best choice. We develop a new measure of policy stance that conforms well to qualitative indicators of policy such as the Boschen- Mills (1991) index. Innovations to our measure lead to reasonable and precisely estimated dynamic responses by variables such as real GDP and the GDP deflator.

Abstract:
A number of interest rates and interest rate spreads have been found to be useful in predicting the course of the economy. We compare the predictive power of some of these suggested interest rate variables for nine indicators of real activity and the inflation rate. Our results are consistent with those of Stock and Watson (1989) and Friedman and Kuttner (1989), who found that the spread between the commercial paper rate and the Treasury bill rate has been a particularly good predictor. We present evidence that this spread is informative not so much because it is a measure of default risk (which has been the usual presumption), but because it is an indicator of the stance of monetary policy; for example, during the "credit crunches" of the 1960s and the 1970s, the commercial paper--Treasury bill spread typically rose significantly. We show that, possibly because of changes in monetary policy operating procedures and in financial markets, this spread appears now to be a less reliable predictor than it used to be.

Abstract:
Standard explanations of the bivariate correlation of money and income attribute this correlation to an inability of agents to discriminate in the short run between real and nominal sources of price shocks. This paper is an empirical comparison of the standard explanation with two alternatives: 1) the "credit view", which focuses on financial market imperfections rather than real-nominal confusion; and 2) the real business cycle approach, which argues that the money-income correlation reflects a passive response of money to income. The methodology, which is a variant of the Sims VAR approach, follows Blanchard and Watson (1984) in using an estimated, explicitly structural model to orthogonalize the VAR residuals. (This variant methodology, I argue, is the more appropriate for structural hypothesis testing.) The results suggest that the standard explanations of the money-income relation are largely, but perhaps not completely, displaced by the alternatives.

Abstract:
Proposals for inflation targeting' as a strategy for monetary policy leave open the important operational question of how to determine whether current policies are consistent with the long-run inflation target. An interesting possibility is that the central bank might target current private-sector forecasts of inflation, either those made explicitly by professional forecasters or those implicit in asset prices. We address the issue of existence and uniqueness of rational expectations equilibria when the central bank uses private-sector forecasts as a guide to policy actions. In a dynamic model which incorporates both sluggish price adjustment and shocks to aggregate demand and aggregate supply, we show that strict targeting of inflation forecasts is typically inconsistent with the existence of rational expectations equilibrium, and that policies approximating strict inflation-forecast targeting are likely to have undesirable properties. We also show that economies with more general forecast-based policy rules are particularly susceptible to indeterminacy of rational expectations equilibria. We conclude that, although private-sector forecasts may contain information useful to the central bank, ultimately the monetary authorities must rely on an explicit structural model of the economy to guide their policy decisions.

Abstract:
Applied macroeconomists (e.g., Eckstein and Sinai (1986)) have stressed the role of financial variables, such as firm balance sheet positions, in the determination of investment spending and output. Our paper presents a formal analysis of this link. We develop a model of the process of investment finance in which there is asymmetric information between borrowers and lenders about the quality of investment projects and about the borrower`s effort. In this model, the cost of external investment finance under the optimal contract is higher, the worse the borrower`s balance sheet position (i.e., the lower his net worth). In general equilibrium, the lower is borrower net worth, the further the number of projects initiated and the average quality of undertaken projects will be from the unconstrained first-best. We characterize a "financially fragile" situation as one in which balance sheets are so weak that the economy experiences substantial underinvestment, misallocation of investment resources, and possibly even a complete investment collapse. Our policy analysis suggests that, under some circumstances, government "bailouts" of insolvent debtors may be a reasonable alternative in periods of extreme financial fragility.

Abstract:
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy. However, the sparse information sets typically used in these empirical models lead to at least two potential problems with the results. First, to the extent that central banks and the private sector have information not reflected in the VAR, the measurement of policy innovations is likely to be contaminated. A second problem is that impulse responses can be observed only for the included variables, which generally constitute only a small subset of the variables that the researcher and policymaker care about. In this paper we investigate one potential solution to this limited information problem, which combines the standard structural VAR analysis with recent developments in factor analysis for large data sets. We find that the information that our factor-augmented VAR (FAVAR) methodology exploits is indeed important to properly identify the monetary transmission mechanism. Overall, our results provide a comprehensive and coherent picture of the effect of monetary policy on the economy.

Abstract:
Using a simple case study approach, this paper compares the conduct and performance of monetary policy in six industrialized countries since the breakup of the Bretton Woods system. Our purpose is to develop fruitful hypotheses that might usefully be explored in subsequent, more formal research.

From a positive perspective, a frequently observed pattern in the case studies is that central banks adopt money growth targets when inflation threatens to get out of control. Central banks appear to use money growth targets both as guideposts for assessing the stance of policy and as a means of signalling their intentions to the public; however, no central bank adheres strictly to targets in the short run. More normatively, the case studies also suggest that money growth targets might be useful in providing a medium-term framework for monetary policy, if the targeting is done in a clear and straightforward manner and if targets can be adjusted for changes in the link between target and goal variables. It appears that rigid adherence to money growth targets in the short run is not necessary to gain some benefits of targeting, as long as there is some commitment by the central bank ultimately to reverse short-term deviations from target. Finally, the choice of operating procedure seems to have little bearing on the success of policy.

Abstract:
First, we show that the interest rate on Federal Funds is extremely informative about future movements of real macroeconomic variables, more so than monetary aggregates or other interest rates. Next, we argue that the reason for this forecasting success is that the funds rate sensitively records shocks to the supply of (not the demand for) bank reserves, i.e. the funds rate is a good indicator of monetary policy actions. Finally, using innovations to the funds rate as a measure of changes in monetary policy, we present evidence consistent with the view that monetary policy works at least in part through "credit" (that is, bank loans) as well as through "money" (that is, bank deposits) -- even though bank loans fail to Granger-cause real variables.

Abstract:
This paper attempts to provide a step towards understanding the role of financial intermediaries ("banks") in aggregate economic activity. We first develop a model of the intermediary sector which is highly simplified, but rich enough to motivate several special features of banks. Of particular importance in our model is the assumption that banks are more efficient than the public in evaluating and auditing certain information-intensive loan projects. Banks are also assumed to have private information about their investments, which motivates the heavy reliance of banks on debt rather than equity finance and their need for buffer stock capital.

We embed this intermediary sector in a general equilibrium framework, which includes consumers and a non-banking investment sector. Mainly because banks have superior access to some investments, factors affecting the size or efficiency of banking will also have an impact on the aggregate economy. Among the factors affecting intermediation, we show, are the adequacy of bank capital, the riskiness of bank investments, and the costs of bank monitoring. We also show that our model is potentially useful for understanding the macroeconomic effects of phenomena such as financial crises, disintermediation, banking regulation, and certain types of monetary policy.

Abstract:
Building on earlier work by Eichengreen and Sachs, we use data for 22 countries to study the role of wage stickiness in propagating the Great Depression. Recent research suggests that monetary shocks, transmitted internationally by the gold standard, were a major cause of the Depression. Accordingly, we use money supplies and other aggregate demand shifters as instruments to identify aggregate supply relationships. We find that nominal wages adjusted quite slowly to falling prices, and that the resulting increases in real wages depressed output. These findings leave open the question of why wages were so inertial in the face of extreme labor market conditions.

Abstract:
The propositions that monetary expansion lowers short-term nominal interest rates (the liquidity effect), and that monetary policy does not have long-run real effects (long-run neutrality), are widely accepted, yet to date the empirical evidence for both is mixed. We reconsider both propositions simultaneously in a structural VAR context, using a model of the market for bank reserves due to Bernanke and Mihov (forthcoming). We find little basis for rejecting either the liquidity effect or long-run neutrality. Our results are robust over the space of admissible model parameter values, and to the use of long-run rather than short-run identifying restrictions.

Abstract:
Most empirical analyses of monetary policy have been confined to frameworks in which the Federal Reserve is implicitly assumed to exploit only a limited amount of information, despite the fact that the Fed actively monitors literally thousands of economic time series. This article explores the feasibility of incorporating richer information sets into the analysis, both positive and normative, of Fed policymaking. We employ a factor-model approach, developed by Stock and Watson (1999a,b), that permits the systematic information in large data sets to be summarized by relatively few estimated factors. With this framework, we reconfirm Stock and Watson's result that the use of large data sets can improve forecast accuracy, and we show that this result does not seem to depend on the use of finally revised (as opposed to 'real-time') data. We estimate policy reaction functions for the Fed that take into account its data-rich environment and provide a test of the hypothesis that Fed actions are explained solely by its forecasts of inflation and real activity. Finally, we explore the possibility of developing an 'expert system' that could aggregate diverse information and provide benchmark policy settings.

Abstract:
Previous tests of the permanent income hypothesis (PIH) have focused on either nondurables or durables expenditures in isolation. This paper studies consumer purchases of nondurables and durables as the outcome of a single optimization problem.It is shown that the presence of adjustment costs of changing durables stocks may substantially affect the time series properties of both components of expenditure under the PIH.However, econometric tests based on this model do not contradict earlier rejections of the PIH in aggregate quarterly data.

Abstract:
No abstract is available for this paper.

Abstract:
Although its primary ultimate objective is price stability, the Bundesbank has drawn a distinction between its money-focus strategy and the inflation targeting approach recently adopted by a number of central banks. We show that, holding constant the current forecast of inflation, German monetary policy responds very little to changes in forecasted money growth; we conclude that the Bundesbank is much better described as an inflation targeter than as a money targeter. An additional contribution of the paper is to apply the structural VAR methods of Bernanke and Mihov (1995) to determine the optimal indicator of German monetary policy: We find that the Lombard rate has historically been a good policy indicator, although the use of the call rate as an indicator cannot be statistically rejected.

Abstract:
The optimal timing of real investment is studied under the assumption that investment is irreversible and that new information about returns is arriving over time. Investment should be undertaken in this case only when the costs of deferring the project exceed the expected value of information gained by waiting. Uncertainty, because it increases the value of waiting for new information, retards the current rate of investment. The nature of investor's optimal reactions to events whose implications are resolved over time is a possible explanation of the instability of aggregate investment over the business cycle.

Abstract:
No abstract is available for this paper.

Abstract:
No abstract is available for this paper.

Abstract:
No abstract is available for this paper.

Abstract:
This paper develops and compares nonnested hypothesis tests for linear regression models with first-order serially correlated errors. It extends the nonnested testing procedures of Pesaran, Fisher and McAleer, and Davidson and MacKinnon, and compares their performance on four conventional models of aggregate investment demand using quarterly U.S. investment data from 1951:1 to 1983:IV. The data and the nonnested hypothesis tests initially indicate that no model is correctly specified, and that the tests are occasionally intransitive in their assessments. Before rejecting these conventional models of investment demand, we go on to investigate the small sample properties of these different nonnested test procedures through a series of monte carlo studies. These investigations demonstrate that when there is significant serial correlation, there are systematic finite sample biases in the nominal size and power of these test statistics. The direction of the bias is toward rejection of the null model, although it varies considerably by the type of test and estimation technique. After revising our critical levels for this finite sample bias, we conclude that the accelerator model of equipment investment cannot be rejected by any of the other alternatives.

Abstract:
This paper studies the cyclical behavior of a number of industrial labor markets of the pre-war (1923-1939) and post-war (1954-1982) eras. In the spirit of Burns and Mitchell we do not test a specific structural model of the labor market but instead concentrate on describing the qualitative features of the (monthly, industry-level) data.The two principal questions we ask are: First, how is labor input (as measured by the number of workers, the hours of work, and the intensity of utilization) varied over the cycle ? Second, what is the cyclical behaviorof labor compensation (as measured by real wages, product wages, and real weekly earnings) ? We study these questions in both the frequency domain and the time domain. Many of our findings simply reinforce, or perhaps refine, existing perceptions of cyclical labor market behavior. However, we do find some interesting differences between the pre-war and the post-war periods in ther elative use of layoffs and short hours in downturns, and in the cyclical behavior of the real wage.

Abstract:
This paper employs monthly, industry - level data in a study of Depression - era labor markets. The underlying analytical framework is one in which, as in Lucas (1970), employers can vary total labor input not only by changing the number of workers but also by varying the length of the work - week. This framework appears to be particularly relevant to the 1930s, a period in which both employment and hours of work fluctuated sharply. With aggregate demand treated as exogenous, it is shown that an econometric model based on this framework, in conjunction with some additional elements (notably, the adjustment of workers' pay to permanent but not transitory variations in the cost of living, and the effects of New Deal legislation) can provide a good explanation of the behavior of the key time series. In particular, the empirical model is able to explain the puzzle of increasing real wages during a period of high unemployment.

Abstract:
Most empirical analyses of monetary policy have been confined to frameworks in which the Federal Reserve is implicitly assumed to exploit only a limited amount of information, despite the fact that the Fed actively monitors literally thousands of economic time series. This article explores the feasibility of incorporating richer information sets into the analysis, both positive and normative, of Fed policymaking. We employ a factor-model approach, developed by Stock and Watson (1999a,b), that permits the systematic information in large data sets to be summarized by relatively few estimated factors. With this framework, we reconfirm Stock and Watson's result that the use of large data sets can improve forecast accuracy, and we show that this result does not seem to depend on the use of finally revised (as opposed to "real-time") data. We estimate policy reaction functions for the Fed that take into account its data-rich environment and provide a test of the hypothesis that Fed actions are explained solely by its forecasts of inflation and real activity. Finally, we explore the possibility of developing an "expert system" that could aggregate diverse information and provide benchmark policy settings.

Dynamic factor model, Policy reaction function, Taylor rule, VAR

Abstract:
Adverse shocks to the economy may be amplified by worsening credit-market conditions--the "financial accelerator." Theoretically, we interpret the financial accelerator as resulting from endogenous changes over the business cycle in the agency costs of lending. An implication of the theory is that, at the onset of a recession, borrowers facing high agency costs should receive a relatively lower share of credit extended (the flight to quality) and hence should account for a proportionally greater part of the decline in economic activity. We review the evidence for these predictions and present new evidence drawn from a panel of large and small manufacturing firms.