Composite Indicators as an Additional Measure for the Assessment of the Lithuanian Economy
Articles
Jurga Rukšėnaitė
Vilnius Gediminas Technical University, Lithuania
Published 2010-12-20
https://doi.org/10.15388/LJS.2010.13947
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How to Cite

Rukšėnaitė, J. (2010) “Composite Indicators as an Additional Measure for the Assessment of the Lithuanian Economy”, Lithuanian Journal of Statistics, 49(1), pp. 47–51. doi:10.15388/LJS.2010.13947.

Abstract

In this research, a hypothesis about an addi­tional measure that could be used as an additional tool for the analysis and assessment of economic trends in Lithuania is put forward. This additional measure has been constructed as a composite indica­tor, involving social and economic fields. Moreover, the paper presents business cycles, evaluated using the Hodrick–Prescott filter.

For many frequently purchased products, how­ever, it is unlikely that consumers actively process information about many brands on many attributes before making a choice. Rather, their behaviour is likely to be relatively routinized. Hence, these models are useful for explaining preference formation and indicating the most likely long-run equilibrium posi­tions, but are not necessarily good models for repeti­tive decision-making.
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