Jennifer E. Roush

Putting 'M' Back in Monetary Policy

Money demand and the stock of money have all but disappeared from monetary policy analyses. This paper is an empirical contribution to the debate over the role of money in monetary policy analysis. The paper models supply and demand interactions in the money market and finds evidence of an essential role for money in the transmission of policy. Across sub-samples, it finds evidence consistent with the following inferences: (1) the money stock and the interest rate jointly transmit monetary policy; (2) for a given exogenous change in the nominal interest rate, the estimated impact of policy on economic activity increases monotonically with the response of the money supply; (3) the path of the real rate is not sufficient for determining policy impacts.

A Flexible Finite-Horizon Alternative to Long-Run Restrictions with an Application to Technology Shocks

Recent studies using long-run restrictions question the validity of the technology-driven real business cycle hypothesis. We propose an alternative identification that maximizes the contribution of technology shocks to the forecast-error variance of labor productivity at a long but finite horizon. In small-sample Monte Carlo experiments, our identification outperforms standard long-run restrictions by significantly reducing the bias in the short-run impulse responses and raising their estimation precision. Unlike its long-run restriction counterpart, when our Max Share identification technique is applied to U.S. data, it delivers the robust result that hours worked responds negatively to positive technology shocks.

A Flexible Finite-Horizon Identification of Technology Shocks

Recent empirical studies using in finite horizon long-run restrictions question the validity of the technology-driven real business cycle hypothesis. These results have met with their own controversy, stemming from their sensitivity to changes in model specification and the general poor performance of long-run restrictions in Monte Carlo experiments. We propose an alternative identification that maximizes the contribution of technology shocks to the forecast-error variance of labor productivity at a long, but finite horizon. In small samples, our identification outperforms its in finite horizon counterpart by producing less biased impulse responses and technology shocks that are more highly correlated with the technology shocks from the underlying model. We apply our identification to post-war U.S. data and find that the negative hours response is not robust to allowing a slightly greater role for non-technology shocks in the variance of productivity at long horizons. We conclude that restrictions aimed at isolating the dynamics of productivity beyond business cycle frequencies do not provide information sufficient to robustly predict short-run movements in labor hours.

The Case for TIPS: An Examination of the Costs and Benefits

Slightly more than a decade has passed since the introduction of the Treasury Inflation-Protected Securities (TIPS) program, through which the U.S. Treasury Department issues inflation-indexed debt. Several studies have suggested that the program has been a financial disappointment for the Treasury and by extension U.S. taxpayers. Relying on ex post analysis, the studies argue that a more cost-effective strategy remains the issuance of nominal Treasury securities. This article proposes that evaluations of the TIPS program be more comprehensive, and instead focus on the ex ante costs of TIPS issuance compared with nominal Treasury issuance. The authors contend that ex ante analysis is a more effective way to assess the costs of TIPS over the long run. Furthermore, relative cost calculations--whether ex post or ex ante--are just one aspect of a comprehensive analysis of the costs and benefits of the TIPS program. TIPS issuance provides other benefits that should be taken into account when evaluating the program, especially when TIPS are only marginally more expensive or about as expensive to issue as nominal Treasury securities.

Evidence Uncovered: Long-Term Interest Rates, Monetary Policy, and the Expectations Theory

A large body of literature has failed to find conclusive evidence that the expectations theory of the term structure holds in U.S. data. This paper asks more narrowly whether the theory holds conditional on an exogenous change in monetary policy. We argue that previous work on the expectation theory has failed to sufficiently account for interactions between monetary policy and bond markets in the determination of long and short interest rates. Using methods that directly account for this interaction, we find strong evidence supporting a term structure channel for policy that is consistent with the expectations theory. We show that the marginal effect of our consideration for this source of simultaneity bias is significant in uncovering evidence for the theory. We also discuss previous claims that policy regime changes and short-term interest rate smoothing by the Fed accounts for the theorys unconditional failure in light of our findings.