This paper investigates the contribution of industrial robots to employment change in manufacturing in a sample of 17 European countries and the USA over the period 2004 to 2019. We combine index decomposition analysis (IDA) and production-theoretical decomposition analysis (PDA). First, we use...

Emerging literature after the global financial crisis of 2007-08 have highlighted the important role of financial conditions as they provide a comprehensive snapshot of the overall economic health and stability. Following this, many academic researchers, central banks and international...

This paper demonstrates that if we intend to optimally rank order n objects (candidates) each of which has m attributes or rank scores awarded by m evaluators, then the ordinal ranking of objects by the conventional principal component based factor scores turns out to be suboptimal. Three...

In aggregation theory, the admissibility condition for clustering together components to be aggregated is blockwise weak separability, which also is the condition needed to separate out sectors of the economy. Although weak separability is thereby of central importance in aggregation and index...

The paper compares the export quality of Italy, Germany, Japan and China. The empirical analysis is based on export unit value for a sample of machinery products exported to the USA over the decade 1996-2006. The results point to four stylised facts. First, Italy, Germany and Japan are...

Rank-ordering of individuals or objects on multiple criteria has many important practical applications. A reasonably representative composite rank ordering of multi-attribute objects/individuals or multi-dimensional points is often obtained by the Principal Component Analysis, although much...

In this paper we have proposed a method to conduct the ordinal canonical correlation analysis (OCCA) that yields ordinal canonical variates and the coefficient of correlation between them, which is analogous to (and a generalization of) the rank correlation coefficient of Spearman. The ordinal...

The classical canonical correlation analysis is extremely greedy to maximize the squared correlation between two sets of variables. As a result, if one of the variables in the dataset-1 is very highly correlated with another variable in the dataset-2, the canonical correlation will be very high...

This paper comprises a survey of a half century of research on international monetary aggregate data. We argue that since monetary assets began yielding interest, the simple sum monetary aggregates have had no foundations in economic theory and have sequentially produced one source of...

Estimation of spatial housing price indices requires a housing market segmentation into local sub-markets. In this paper, we use geographically weighted regression model (GWR) to take account for spatial heterogeneity of housing attribute marginal prices. Estimated marginal prices are then used...