This paper derives a number of theoretical results in the context of estimating returns to scale, technical progress and monopolistic markups when there are multiple outputs and/or multiple inputs. The choice between value added versus gross output in the estimation of returns to scale is also...

Diewert and Fox (2013) proposed decompositions of a Malmquist-type productivity index into explanatory factors, with a focus on extracting technical progress, technical efficiency change and returns to scale components. A major problem with their decompositions is that it may be difficult to...

The paper uses hedonic regression techniques in order to decompose the price of a house into land and structure components using readily available real estate sales data for a Dutch city. In order to get sensible results, it proved necessary to use a nonlinear regression model using data that...

Caves, Christensen, Diewert introduced Malmquist output, input and productivity indexes into production theory in a systematic way. This paper revisits the debate on how to decompose Bjurek’s concept of a Malmquist productivity index into explanatory factors, with a focus on extracting...

This paper develops a new framework for measuring prices and quantities of commercial properties. In particular, it addresses problems associated with obtaining separate estimates for the land and structure components of a property. A key contribution is to address the problem of estimating...

Using new data from Statistics Canada, this article shows that the multifactor productivity (MFP) performance of the Canadian business sector has been reasonably satisfactory over the past half century. In particular, traditional gross income MFP growth averaged 1.03 per cent per year over the...

This rejoinder responds to the comments of Wulong Gu (2012) on the article by Diewert and Yu (2012). The paper lays out the algebra behind the Diewert-Yu capital services methodology and the corresponding methodology used by the Statistics Canada Canadian Productivity Program. The large...