Interpreted as an instrumental variables estimator, nonlinear least squares constructs its instruments optimally from the explanatory variables using the nonlinear specification of the regression function. This has implications for the use of GMM estimators in nonlinear regression models,...

Revised productivity accounts recently released by Statistics Canada are used to estimate a Klump-McAdam-Willman normalized CES supply-side system for the half-century 1961–2010. The model permits distinct rates of factor-augmenting technical change for capital and labour that distinguish...

The appropriate conception of team outputs is investigated by estimating a two-output factor demand system for baseball teams, relative to which single-output models are rejected. There is, however, some empirical support for output separability, suggesting that team outputs may sometimes be...

The model of league conduct formulated by Ferguson, Jones, and Stewart (2000) contains an algebraic error. This note provides the relevant correction and shows that the empirical results given in their article are robust to it.

The multiproduct symmetric generalized McFadden cost function is increasingly prominent in empirical production analysis. Researchers should be aware that the scope for imposing and testing nonjointness in this model is limited. In the general version of the model, nonjointness requires the...

The historical evolution of the corporate tax burden in the OECD nations is studied, beginning with an assessment of alternative measures of the burden. Descriptive analysis of these time series reveals no evidence of a competitive "race to the bottom" in capital taxation, and little evidence of...

The Gauss-Newton regression (GNR) is widely used to compute Lagrange multiplier statistics. A regression described by Milliken and Graybill yields an exact F test in a certain class of nonlinear models which are linear under the null. This paper shows that the Milliken- Graybill regression is a...