Housing and the monetary transmission mechanism: commentary

Housing ; Monetary policy ; Housing - Prices

Daily Changes in Fed Funds Futures Prices

This paper explores the properties of daily changes in the prices for near-term fed funds futures contracts. The paper finds these contracts to be excellent predictors of the fed funds rate, and shows that the claim of a nonzero term premium in the short-horizon contracts is more sensitive to outliers than previous research appears to have recognized. I find some statistically significant evidence of serial correlation in the daily changes, but this accounts for only a tiny part of the one-day movements and there is essentially zero predictability for horizons longer than one day. Settlement futures prices for each day appear to incorporate the information embodied in that day's term structure of longer-horizon Treasury securities. Previous employment growth makes a statistically significant contribution to predicting futures price changes, though again this could only account for a tiny part of the daily variance. The paper concludes that futures prices provide a very useful measure of the daily changes in the market's expectation of near-term changes in Fed policy.

Assessing monetary policy effects using daily federal funds futures contracts

This paper develops a generalization of the formulas proposed by Kuttner (2001) and others for purposes of measuring the effects of a change in the federal funds target on Treasury yields of different maturities. The generalization avoids the need to condition on the date of the target change and allows for deviations of the effective fed funds rate from the target as well as gradual learning by market participants about the target. The paper shows that parameters estimated solely on the basis of the behavior of the fed funds and fed funds futures can account for the broad calendar regularities in the relation between fed funds futures and Treasury yields of different maturities. Although the methods are new, the conclusion is quite similar to that reported by earlier researchers-changes in the fed funds target seem to be associated with quite large changes in Treasury yields, even for maturities of up to 10 years.Federal funds rate ; Monetary policy

Assessing Monetary Policy Effects Using Daily Fed Funds Futures Contracts

This paper develops a generalization of the formulas proposed by Kuttner (2001) and others for purposes of measuring the effects of a change in the fed funds target on Treasury yields of different maturities. The generalization avoids the need to condition on the date of the target change and allows for deviations of the effective fed funds rate from the target as well as gradual learning by market participants about the target. The paper shows that parameters estimated solely on the basis of the behavior of the fed funds and fed funds futures can account for the broad calendar regularities in the relation between fed funds futures and Treasury yields of different maturities. Although the methods are new, the conclusion is quite similar to that reported by earlier researchers-- changes in the fed funds target seem to be associated with quite large changes in Treasury yields, even for maturities up to ten years.

Oil Prices, Exhaustible Resources, and Economic Growth

This paper explores details behind the phenomenal increase in global crude oil production over the last century and a half and the implications if that trend should be reversed. I document that a key feature of the growth in production has been exploitation of new geographic areas rather than application of better technology to existing sources, and suggest that the end of that era could come soon. The economic dislocations that historically followed temporary oil supply disruptions are reviewed, and the possible implications of that experience for what the transition era could look like are explored.

What's real about the business cycle?

This paper argues that a linear statistical model with homoskedastic errors cannot capture the nineteenth-century notion of a recurring cyclical pattern in key economic aggregates. A simple nonlinear alternative is proposed and used to illustrate that the dynamic behavior of unemployment seems to change over the business cycle, with the unemployment rate rising more quickly than it falls. Furthermore, many but not all economic downturns are also accompanied by a dramatic change in the dynamic behavior of short-term interest rates. It is suggested that these nonlinearities are most naturally interpreted as resulting from short-run failures in the employment and credit markets and that understanding these short-run failures is the key to understanding the nature of the business cycle.Business cycles ; Unemployment ; Interest rates

Dating Business Cycle Turning Points

This paper discusses formal quantitative algorithms that can be used to identify business cycle turning points. An intuitive, graphical derivation of these algorithms is presented along with a description of how they can be implemented making very minimal distributional assumptions. We also provide the intuition and detailed description of these algorithms for both simple parametric univariate inference as well as latent-variable multiple-indicator inference using a state-space Markov-switching approach. We illustrate the promise of this approach by reconstructing the inferences that would have been generated if parameters had to be estimated and inferences drawn based on data as they were originally released at each historical date. Waiting until one extra quarter of GDP growth is reported or one extra month of the monthly indicators released before making a call of a business cycle turning point helps reduce the risk of misclassification. We introduce two new measures for dating business cycle turning points, which we call the %u201Cquarterly real-time GDP-based recession probability index%u201D and the %u201Cmonthly real-time multiple-indicator recession probability index%u201D that incorporate these principles. Both indexes perform quite well in simulation with real-time data bases. We also discuss some of the potential complicating factors one might want to consider for such an analysis, such as the reduced volatility of output growth rates since 1984 and the changing cyclical behavior of employment. Although such refinements can improve the inference, we nevertheless find that the simpler specifications perform very well historically and may be more robust for recognizing future business cycle turning points of unknown character.

DISTRIBUTIVE CLASS POLITICS AND THE POLITICAL GEOGRAPHY OF INTERWAR EUROPE

Why did socialists win elections in some countries in Europe, and fascists in others, during the interwar period? Many political historians have viewed ''distributive class politics'' as the appropriate characterization of this period and place, but heretofore, formal politico-economic analysis has not been employed to study the question. Here, a new conception of political competition between parties, which yields Nash equilibria when the policy space is multi-dimensional, is harnessed to the task. Each party proposes a class distribution of income, chosen from a (multi-dimensional) issue simplex. The theory, proposed by G. Luebbert, that active class conflict between the landed peasantry and landless laborers was the necessary and sufficient condition of fascist victory is modeled, and is largely, but not conclusively, confirmed.

The propagation of regional recessions

This paper develops a framework for inferring common Markov-switching components in a panel data set with large cross-section and time-series dimensions. We apply the framework to studying similarities and differences across U.S. states in the timing of business cycles. We hypothesize that there exists a small number of cluster designations, with individual states in a given cluster sharing certain business cycle characteristics. We find that although oil-producing and agricultural states can sometimes experience a separate recession from the rest of the United States, for the most part, differences across states appear to be a matter of timing, with some states entering recession or recovering before others.Business cycles ; Recessions

Identification and Estimation of Gaussian Affine Term Structure Models

This paper develops new results for identification and estimation of Gaussian affine term structure models. We establish that three popular canonical representations are unidentified, and demonstrate how unidentified regions can complicate numerical optimization. A separate contribution of the paper is the proposal of minimum-chi-square estimation as an alternative to MLE. We show that, although it is asymptotically equivalent to MLE, it can be much easier to compute. In some cases, MCSE allows researchers to recognize with certainty whether a given estimate represents a global maximum of the likelihood function and makes feasible the computation of small-sample standard errors.