Height data offer insights into the well-being of populations and historical periods for which other indicators are lacking. Researchers modeling historical heights have typically relied on the restrictive assumption of a normal (Gaussian) distribution, only the mean of which is affected by age,...

In this paper, the two innovative non-parametric models, the Luenberger productivity model and the Luenberger-Hicks-Moorsteen productivity indicator, are used to estimate the productivity of UK airports. The airports are ranked according to their total productivity over ten years showing that...

In this paper we consider the use of fuzzy modelling in the context of econometric analysis of both time-series and cross-section data. We discuss and demonstrate a semi-parametric methodology for model identification and estimation that is based on the Fuzzy c-Means algorithm that is widely...

This paper analyses the Hungarian sovereign yield curve via econometric methods. First I apply Principal Component Analysis (PCA) on my panel data consisting of zero coupon interest rates derived from government bond trading. This decomposition of the yield curve highlights important...