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EN
Evidence-based policies require well-established research and reliable data. One of the major difficulties in delivering such data for cultural policies lies in measuring culture, expressing its ephemeral nature in numbers and indicators, as research used to do in other sectors. Stated-preference based non-market valuation is one of the few tools able to reveal the benefits that cultural goods deliver to the society for cost–benefit analysis. The prevalent problem in this kind of studies is poorly defined, ambiguous goods. When attempting to define them, we cannot forget that the essence of art and culture, which is in itself worth measuring, is quality. The goal of the article was to review previous uses of quality measurements of arts and culture in stated-preference based non-market valuation research, most of which are dedicated to performing arts and cultural heritage.
EN
Two groups of research methods are used in the decompositional approach to stated preferences – conjoint analysis methods and discrete choice methods. The most commonly applied traditional conjoint analysis method is an example of the first group. Because of its computational complexity, its practical application requires using appropriate commercial or non-commercial computer software. The purpose of the article is to present the traditional conjoint analysis method and discuss its implementation in the form of the conjoint package for R program, which with CRAN packages is currently one of the most important non-commercial computing environments for statistical data analysis. In addition to the detailed characteristics of the individual conjoint R package functions, the paper also presents the application of the conjoint package in marketing research, along with the interpretation of the selected results, based on the example of measuring and analysing stated preferences of beer consumers.
PL
W podejściu dekompozycyjnym wykorzystuje się dwie grupy metod badawczych – metody conjoint analysis oraz metody wyborów dyskretnych. Przykładem pierwszej grupy jest stosowana z powodzeniem do dnia dzisiejszego tradycyjna metoda conjoint analysis. Ze względu na jej złożoność obliczeniową jej praktyczne zastosowanie oznacza wykorzystanie odpowiedniego komercyjnego lub niekomercyjnego oprogramowania komputerowego. W artykule omówiono tradycyjną metodę conjoint analysis oraz zaprezentowano implementację tej metody w postaci modułu conjoint programu R, który wraz z innymi pakietami oraz programem R jest obecnie jednym z najważniejszych, niekomercyjnych środowisk obliczeniowych przeznaczonych do analizy statystyczno-ekonometrycznej. Oprócz szczegółowej charakterystyki poszczególnych funkcji pakietu conjoint, w artykule zapre- zentowane zostało także zastosowanie pakietu w badaniach marketingowych wraz z interpre- tacją wybranych wyników na przykładzie pomiaru i analizy preferencji wyrażonych konsu- mentów piwa.
EN
Whether respondents disclose their preferences truthfully in surveys that are used to assess the values of public goods remains a crucial question for the practical application of stated preference methods. The literature suggests that in order to elicit true preferences, respondents should see a valuation survey as consequential: they must believe in the actual consequences that may follow from the survey result. Drawing on recent empirical findings, we develop a model depicting the importance of the consequentiality requirement for truthful preference disclosure in a survey that evaluates a public policy project based on a referendum-format value elicitation question. First, we show that a respondent’s belief that his vote may influence the outcome of the referendum plays a central role for revealing his preferences truthfully. Second, we find that the subjectively perceived probabilities of the successful provision of the public good and of the collection of the payment related to the project implementation not only need to be positive but also to be in a particular relationship with each other. This relationship varies in respondents’ preferences towards risk.
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