This paper studies the relationship between NSF funding and the publications of US economists using data on 1473 applications to NSF during 1985-1990, 414 of which were awarded a research grant. We first outline a basic methodology for assessing the impact of the NSF support for basic research...

This paper investigates whether firms innovate persistently or discontinuously over time using an innovation panel data set on German manufacturing and service firms for the period 1994-2002. We find that innovation behaviour is permanent at the firm-level to a very large extent. Using a dynamic...

This paper argues that spacing between consecutive births is an important aspect of competition among siblings for survival. Since parents simultaneously choose their desired values of birth spacing and the amount of time and other resources invested in children (which in turn affect child...

We study the behavior of real exchange rates in a two­country dynamic equilibrium model. In this model, consumers can only consume domestic goods but can invest costlessly in capital stocks of both countries. Nevertheless, transporting goods between the two countries is costly and, hence, the...

In aggregation theory, index numbers are judged relative to their ability to track the exact aggregator functions nested within the economy's structure. Within the monetary sector, Barnett, Liu, and Jensen (1997) compared two statistical index numbers: the Divisia monetary aggregate and the...

This paper argues that the linear price-dividend relationship as predicted in the Gordon model breaks down in regimes of high inflation and deflation. Using data for the US and the UK over the period from 1871 to 2002, nonlinear estimates support the prediction of the model.

This is the front matter from the book, William A. Barnett and Jane Binner (eds.), Functional Structure and Approximation in Econometrics, published in 2004 by Elsevier in its Contributions to Economic Analysis monograph series. The front matter includes the Table of Contents, Volume...