Research Database

We use minute-by-minute daily transaction-level payments data to document the cross-sectional and time-series behavior of the estimated prices and quantities negotiated by commercial banks in the fed funds market. We study the frequency and volume of trade, the size distribution of loans, the distribution of bilateral fed funds rates, and the intraday dynamics of the reserve balances held by commercial banks. We find evidence of the importance of the liquidity provision achieved by commercial banks that act as de facto intermediaries of fed funds.

This paper examines the macroeconomic implications of sovereign credit risk in a business cycle model where banks are exposed to domestic government debt. The news of a future sovereign default hampers financial intermediation. First, it tightens the funding constraints of banks, reducing their available resources to finance firms (liquidity channel). Second, it generates a precautionary motive for banks to deleverage (risk channel). I estimate the model using Italian data, finding that i) sovereign credit risk was recessionary and that ii) the risk channel was sizable. I then use the model to evaluate the effects of subsidized long term loans to banks, calibrated to the ECB’s longer-term refinancing operations. The presence of strong precautionary motives at the time of policy enactment implies that bank lending to firms is not very sensitive to these credit market interventions.

An interpretation of government policy regarding what it accepts in transactions is embedded in a version of the Kiyotaki-Wright model of media of exchange. In an example with two goods and one fiat money, the policies consistent with fiat money being the unique medium of exchange are identified. These uniqueness policies have the government favoring fiat money in its transactions. Benefits and costs accompany any such policy. The benefit is that a worse nonmonetary equilibrium is eliminated; the cost is that a better monetary equilibrium is also eliminated.

A model is presented in which demand deposits backed by fractional currency reserves and public insurance can be beneficial. The model uses Samuelson's pure consumption-loans model. The case for demand deposits, reserves, and deposit insurance rests on costs of illiquidity and incomplete information. The effect of deposit insurance depends upon how, and at what cost, the government meets its insurer's obligation--something which is not specified in practice. It remains possible that demand deposits and deposit insurance are a distortion, and reserve requirements serve only to limit the size of this distortion.

This paper investigates the macroeconomic and welfare effects of a particular public finance decision. That decision was to use debt rather than current taxation to finance deposit insurance payments related to the savings and loan debacle. We find that this decision could have significantly raised real interest rates and affected welfare. The analysis is conducted in a dynamic, open-economy, monetary general equilibrium model in which parameters are set based on empirical observations.

The fiscal year and the calendar year coincide for a large fraction of firms traded in the New York and American Stock Exchanges. It is therefore possible that part of the large positive abnormal return earned by stocks as a group during the first week of trading in January may be due to temporal resolution of uncertainty accompanying the end of the fiscal year. We study this hypothesis by examining whether stocks of firms with fiscal years ending in months other than December also realize positive abnormal returns, following the end of their fiscal years. We find that there are no excess returns for such firms in the first five trading days following the end of the fiscal year.

These notes are intended as a do-it-yourself course in economic growth along lines suggested by Lucas ("On the Mechanics of Economic Development"). We examine in turn the neoclassical growth model; theories of endogenous growth, including learning-by-doing, increasing returns to scale, and externalities; and dynamic comparative advantage in trade. Salient features of growing economies and microeconomic evidence on production processes are used to evaluate alternatives. Exercises supplement the text.

We examine deviations from trend of net exports and other components of GNP for the United States and attempt to build models consistent with their behavior. The most striking fact is that net exports have consistently been countercyclical. We show, first, that dynamic pure-exchange models can only produce a negative correlation between net exports and GNP if the variance of consumption exceeds that of output. In the United Slates it does not, so this class of models cannot explain observed comovements between output and trade. We then examine government spending and nontraded goods as potential remedies, but show that their behavior is either inconsistent with the data or can be made consistent with any pattern of comovements. The most promising model introduces production and capital formation. Fluctuations are driven by country-specific productivity shocks, in which high productivity domestically leads to high domestic investment and a deficit in the balance of trade. This theory also receives support from the large negative covariance between net exports and investment in American data.

This paper develops a forecasting procedure based on a Bayesian method for estimating vector autoregressions. The procedure is applied to ten macroeconomic variables and is shown to improve out-of-sample forecasts relative to univariate equations. Although cross-variables responses are damped by the prior, considerable interaction among the variables is shown to be captured by the estimates. We provide unconditional forecasts as of 1982:12 and 1963:3* We also describe how a model such as this can be used to make conditional projections and to analyse policy alternatives. As an example, we analyze a Congressional Budget Office forecast made in 1982:12. While no automatic causal interpretations arise from models like ours, they provide a detailed characterization of the dynamic statistical interdependence of a set of economic variables, which may help in evaluating causal hypotheses, without containing any such hypotheses themselves.

Here we reply to Robert Solow’s comment on our work, Modern Macroeconomics in Practice: How Theory is Shaping Policy.

This paper investigates two methods of approximating the optimal decision rules of a stochastic, representative agent model which exhibits growth in steady state and cannot be expressed in linear–quadratic form. Both methods are modifications on the linear quadratic approximation technique proposed by Kydland and Prescott. It is shown that one of the solution methods leads to bizarre dynamic behavior, even with shocks of empirically reasonable magnitude. The other solution technique does not exhibit such bizarre behavior.