Using a new Bayesian method for the analysis of diffusion processes, this article finds that the nonlinear drift in interest rates found in a number of previous studies can be confirmed only under prior distributions that are best described as informative. The assumption of stationarity, which is common in the literature, represents a nontrivial prior belief about the shape of the drift function. This belief and the use of "flat" priors contribute strongly to the finding of nonlinear mean reversion. Implementation of an approximate Jeffreys prior results in virtually no evidence for mean reversion in interest rates unless stationarity is assumed. Finally, the article documents that nonlinear drift is primarily a feature of daily rather than monthly data, and that these data contain a transitory element that is not reflected in the volatility of longer-maturity yields.

Using a new Bayesian method for the analysis of diffusion processes, this article finds that the nonlinear drift in interest rates found in a number of previous studies can be confirmed only under prior distributions that are best described as informative. The assumption of stationarity, which is common in the literature, represents a nontrivial prior belief about the shape of the drift function. This belief and the use of “flat” priors contribute strongly to the finding of nonlinear mean reversion. Implementation of an approximate Jeffreys prior results in virtually no evidence for mean reversion in interest rates unless stationarity is assumed. Finally, the article documents that nonlinear drift is primarily a feature of daily rather than monthly data, and that these data contain a transitory element that is not reflected in the volatility of longer-maturity yields.

This article calculates retirement income–replacement rates for all labor market cohorts across the last 25 years and describes the changing contributions made by private pensions, social security, and assets. The factors on which replacement rates are sensitive include position in the income distribution, the use of after‐tax instead of pretax incomes, the changing family composition of households between their pre‐ and postretirement years, and differential underreporting of income by age. The debate about reforming the U.S. retirement income system starts from a base where the current system offers high income‐replacement rates for most households, especially low‐income households.

A popular way to account for unobserved heterogeneity is to assume that the data are drawn from a finite mixture distribution. A barrier to using finite mixture models is that parameters that could previously be estimated in stages must now be estimated jointly: using mixture distributions destroys any additive separability of the log-likelihood function. We show, however, that an extension of the EM algorithm reintroduces additive separability, thus allowing one to estimate parameters sequentially during each maximization step. In establishing this result, we develop a broad class of estimators for mixture models. Returning to the likelihood problem, we show that, relative to full information maximum likelihood, our sequential estimator can generate large computational savings with little loss of efficiency.

Agency theory implies that asset ownership and decision authority are complements. Using 1998 data from Texas commercial banks, we test whether the likelihood of local ownership of bank offices increases with the importance of granting local managers greater decision authority (for example, due to location or customer base). Our empirical evidence is consistent with this hypothesis. It suggests that complementarities between strategy and organizational structure can foster differentiation among firms in terms of location, customers, and products. It also supports the growing view that small locally-owned banks have a comparative advantage over large banks within specific environments.

We examine theories of leverage and debt maturity, focusing on the impact of firms' investment opportunity sets and regulatory environments in determining these policies. Using results on strategic complementarities, we identify sufficient conditions for the theory to have testable implications for reduced-form and structural-equation regression coefficients. Obtaining testable implications for structural equations requires less from the theory but more from the data than the reduced-form specification because it requires an instrumental-variables approach. We examine this trade-off between theory and statistical methods and provide tests using two decades of data for over 5000 industrial firms.

Asymmetric information between corporate insiders and other market participants can lead to large bid‐ask spreads or even a collapse of trade in financial markets. In this paper, we discuss how voluntary disclosure by insiders can remedy this problem. When insiders make disclosure decisions after they become informed, other market participants update their prior beliefs on the basis of both the information disclosed and the information not disclosed. Insiders then give up some or all of their information advantage to weakly increase their profits. These results do not rely on ex ante commitments on the part of the insiders.

Amy Dittmar, Jan Mahrt-Smith, Henri Servaes, International Corporate Governance and Corporate Cash Holdings, The Journal of Financial and Quantitative Analysis, Vol. 38, No. 1 (Mar., 2003), pp. 111-133