The Boskin report (1996) concluded that the US consumer price index (CPI) overestimated the inflation by 1.1 percentage points. This was due to several measurement errors in the CPI. One of them is called quality change bias. We compare two methods in this paper which can be used to correct for...

Statistical offices use the matched models method to compile consumer price indices (CPIs) to measure inflation. The prices of a sample of models are recorded, and then price collectors visit the same stores each subsequent month to record the prices of the same matched sample of models. The...

User-cost indexes provide important information about the welfare implications of durable goods purchases. In this paper indexes for the cost of private transportation are developed, based on the costs associated with using new passenger cars sold in 1992-1999, in the Netherlands. The paper...

Hedonic house price indices adjust the average sales prices for the change in the quality of the property sold over time. This paper proposes a framework to disentangle the contribution of each individual dwelling characteristic to this quality change. We apply our framework to a unique dataset...

The paper provides an analysis of the problems of construction of quality-adjusted price indexes within the framework of the theory of product differentiation. In the general case of price-making behaviour on the part of firms, hedonic regressions are defined on the basis of reduced forms of the...

In this paper, we develop a local housing stock heterogeneity measure. This measure may be used to monitor housing stock heterogeneity over time and in combination with other measures of policy interest. We illustrate the latter by looking at local housing stock heterogeneity, house price...

This paper reviews various treatments of non-metric variables in Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several typical data generating processes and...

In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate weights for composite indices. In this context we also consider various treatments of non-metric variables when constructing such composite indices. Using simulation studies we find...

This paper reviews various treatments of non-metric variables in Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several typical data generating processes and...

In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate weights for composite indices. In this context we also consider various treatments of non-metric variables when constructing such composite indices. Using simulation studies we find...