William A. Brock has taught in the Departments of Economics at the University of Rochester, Cornell University, and the University of Chicago, before moving to the University of Wisconsin, Madison, where he is now Vilas Research Professor of Economics. He has also been an External Professor at the Santa Fe Institute since 1989. His many awards include election as a Fellow of the Econometric Society in 1974, a Fellow of the American Academy of Arts and Sciences in 1992, and as a Member of the National Academy of Sciences in 1998. His over 100 invited lectures include presentations in Poland, Belgium, France, Mexico, Canada, Japan, Australia, England, Sweden, Norway, and Australia.

Brock has been a leading contributor to the development of methods of intertemporal equilibrium analysis in the areas of growth theory, monetary theory, and finance. More recently, he has played a crucial role in the development of new methods for the analysis of nonlinear dynamics in macroeconomics and finance, and models of expectations that relax the assumption of rational expectations.

I interviewed Buz in the faculty cafeteria near the Social Science Research Institute building, on the Madison campus of the University of Wisconsin, on October 22, 1998. Our interview was interrupted when he had to go to teach, and then was finished by phone on December 11, 1998. The transcript that follows does little justice to the liveliness of Buz's conversation, mainly because of my inability to transcribe the animated facial expressions and hand gestures that made the mathematical references more concrete. I have added several footnotes to the transcript, identifying some of the published sources that were mentioned during our conversation.

This paper utilizes the concept of almost homogeneity to obtain a generalization of the elasticity of factor substitution. From this, an expression for the bias to technical change is derived that explicitly includes the individual degrees of input homogeneity. It is shown that the relative values of these homogeneity parameters can affect the magnitude and direction of the factor-saving bias to technical change. These parameters also influence the size of the residual or unexplained component of aggregate output growth.

The aggregation of sectoral or regional Phillips curves yields an inflation–unemployment trade-off that is not vertical in the long run if there are mismatches between supply and demand in the regional or sectoral labor markets. This remains true even when the individual Phillips curves are all vertical. This result stems from variations in the slope of the individual short-run Phillips curves, rather than from changes to the equilibrium level of unemployment. It implies a role for the management of the distribution of demand over different sectors or regions, in order to minimize the natural rate of unemployment.

We derive a seminonparametric utility function containing the constant relative risk aversion (CRRA) function as a special case, and we estimate the associated Euler equations with U.S. consumption data. There is strong evidence that the CRRA function is misspecified. The correctly specified function includes lagged effects of durable goods and perhaps nondurable goods, is bounded as required by Arrow's Utility Boundedness Theorem, and has a positive rate of time preference. Constraining sample periods and separability structure to be consistent with the generalized axiom of revealed preference affects estimation results substantially. Using Divisia aggregates instead of the NIPA aggregates also affects results.