Monetary Policy Rules with Model and Data Uncertainty

In this paper we examine the prevalence of data, specification, and parameter uncertainty in the formation of simple rules that mimic monetary policymaking decisions. Our approach is to build real-time data sets and simulate a real-time policy-setting environment in which we assume that policy is captured by movements in the actual federal funds rate, and then to assess what sorts of policy rule models and what sorts of data best explain what the Federal Reserve actually did. This approach allows us not only to track the performance of alternative rules over time (hence facilitating a type of model selection among competing rules), but also to more generally assess the importance of the data revision process in the formation of macroeconomic time series models. From the perspective of real-time data, our results suggest that the use of data that are erroneous, in the sense that they were not available at the time decisions could have been made based on forecasts from the rules, can lead to the selection of quantitatively different models. From the perspective of finding a rule that best approximates what the Federal Reserve Board (Fed) has actually done (and hence from the perspective of finding a rule that best approximates what the Fed will do in the future), we find that (i) our version of “calibration” is better than naïve estimation, although both are dominated by an approach to rule formation based on the use of adaptive least-squares learning; (ii) rules based on data that are not seasonally adjusted are more reliable than those based on seasonally adjusted data; and (iii) rules based solely on preliminary data do not minimize mean square forecast error risk. In particular, early releases of data can be noisy, and for this reason it is useful to also use data that have been revised when making decisions using policy rules.     

Tax Clientele Effects in the Term Structure of UK Interest Rates

This paper tests for tax clientele effects in the term structure of UK interest rates. Five empirical models of the term structure of interest rates, incorporating tax effects, are estimated with daily data covering the period 31 March, 1995 to 3 August, 1995. In May 1995, the British government announced its intention to eliminate the tax exemption on capital gains from government bonds, but subsequently in July 1995 backtracked on some of its initial proposals. This period therefore forms the basis of a crude natural experiment in the sense that it provides an opportunity to examine tax clientele effects 'before' and 'after' an event which should have levelled greatly the taxing of government bonds. The empirical analysis suggests large tax clientele effects. However, there is little evidence of tax-specific term structures of interest rates.     

The Effects of Health, Wealth, and Wages on Labour Supply and Retirement Behaviour

This paper estimates a life cycle model of labour supply, retirement, and savings behaviour in which future health status and wages are uncertain. Individuals face a fixed cost of work and cannot borrow against future labour, pension, or Social Security income. The method of simulated moments is used to match the life cycle profiles of labour force participation, hours worked, and assets that are estimated from the data to those that are generated by the model. The model establishes that the tax structure of the Social Security system and pensions are key determinants of the high observed job exit rates at ages 62 and 65. Removing the tax wedge embedded in the Social Security earnings test for individuals aged 65 and older would delay job exit by almost one year. By contrast, Social Security benefit levels, health, and borrowing constraints are less important determinants of job exit at older ages. For example, reducing Social Security benefits by 20% would cause workers to delay exit from the labour force by only three months.     

Forecasting the term structures of Treasury and corporate yields using dynamic Nelson-Siegel models

We extend Diebold and Li’s dynamic Nelson-Siegel three-factor model to a broader empirical prospective by including the evaluation of the state space approach and by using nine different ratings for corporate bonds. We find that the dynamic Nelson-Siegel factor AR(1) model outperforms other competitors on the out-of-sample forecast accuracy, especially on the investment-grade bonds for the short-term forecast horizon and on the high-yield bonds for the long-term forecast horizon. The dynamic Nelson-Siegel factor state space model, however, becomes appealing on the high-yield bonds in the short-term forecast horizon, where the factor dynamics are more likely time-varying and parameter instability is more probable in the model specification.     

An Ordered-Probit Analysis of Price and Performance in Competitively Tendered Contracts

Abstract
This article adopts an ordered-probit estimation procedure to investigate the influence of competitive tendering on contract price and performance. Using a two-equation recursive system the findings of Domberger, Hall and Li (1995) turned out to be robust to the ordered-probit methodology which confirmed the strong negative effect of competitive tendering on contract price. The evidence also suggested that performance was either enhanced or remained the same in the presence of competition. Overall, the results of this investigation support the view that competitive tendering generates efficiency gains without adverse effects on quality of service .     

Distributional dynamics following a technological revolution

In this paper we explore the link between technological change and the dynamics of employment, production, and the distribution of earnings. Technological change not only advances society's collective capability but also changes the relative productivities of its members. The latter effect establishes the likely winners and losers from advances in productive capabilities, provides a mechanism that can generate cyclical fluctuations in output as well as employment, and determines the evolution of the earnings distribution.
Dynamique de la répartition à la suite d'une révolution technologique . Ce mémoire examine le lien entre le changement technologique et la dynamique de l'emploi, de la production et de la répartition des revenus. Le changement technologique n'augmente pas seulement la capacité collective d'une société mais modifie aussi les productivités relatives de ses membres. Ce dernier effet crée des gagnants et des perdants, déclenche un mécanisme qui peut générer des fluctuations cycliques tant dans le niveau de production que dans celui de l'emploi, et détermine l'évolution de la répartition des revenus.     

Were In-Process Research and Development Charges Too Aggressive?

Abstract:  Prior research documents that US firms write off large in-process research and development charges (IPRD) for acquisitions, possibly overstating the current period expense to inflate future earnings. Consequently, in 1998, the US Securities and Exchange Commission (SEC) began scrutinizing IPRD charges. We use pre-acquisition R&D expenses of 144 target firms as a benchmark for assessing whether IPRD charges are appropriate. Overall, the results suggest that most firms during our sample period were not overly aggressive in expensing IPRD–especially for acquisitions subsequent to the SEC's scrutiny. The results also indicate that the SEC's intervention reduced the frequency of overstated IPRD charges.