We develop an unobserved component model in which the short-term interest rate is composed of a stochastic trend and a stationary cycle. Using the Nelson-Siegel model of the yield curve as inspiration, we estimate an extremely parsimonious state-space model of interest rates across time and...

We develop an unobserved component model in which the short-term interest rate is composed of a stochastic trend and a stationary cycle. Using the Nelson-Siegel model of the yield curve as inspiration, we estimate an extremely parsimonious state-space model of interest rates across time and...

We construct a cross-section of stock prices and their corresponding present values of future cash flows. A regression of present value on the initial stock price should have a slope coefficient equal to 1.0. For short horizons, this is a cross-section version of checking the random walk model...

Standard models of intertemporal utility maximization under uncertainty assume that agents discount future utility flows at a constant compounded rate—exponential discounting. Euler equations estimated over different time horizons should have equal discount rates. They do not. Rising term...

Use of heteroskedasticity-robust standard errors has become common in frequentist regressions. I offer here a Bayesian analog. The Bayesian version is derived by first focusing on the likelihood function for the sample values of the identifying moment conditions of least squares and then...

We set out a Gibbs sampler for the linear instrumental-variable model withnormal errors and normal priors, and we show how to compute the marginallikelihood.

Standard estimation of ARMA models in which the AR and MA roots nearly cancel, so that individual coefficients are only weakly identified, often produces inferential ranges for individual coefficients that give a spurious appearance of accuracy. We remedy this problem with a model that mixes...