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Investigating heterogeneity in the characterization of risks using best worst scaling
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001  MAP20130037851
003  MAP
005  20131118121140.0
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1001 ‎$0‎​MAPA20130016351‎$a‎​Erdem, Seda ‌
24510‎$a‎​Investigating heterogeneity in the characterization of risks using best worst scaling‎$c‎​Seda Erdem, Dan Rigby
520  ‎$a‎​This research proposes and implements a new approach to the elicitation and analysis of perceptions of risk. We use best worst scaling (BWS) to elicit the levels of control respondents believe they have over risks and the level of concern those risks prompt. The approach seeks perceptions of control and concern over a large risk set and the elicitation method is structured so as to reduce the cognitive burden typically associated with ranking over large sets. The BWS approach is designed to yield strong discrimination over items. Further, the approach permits derivation of individual-level values, in this case of perceptions of control and worry, and analysis of how these vary over observable characteristics, through estimation of random parameter logit models. The approach is implemented for a set of 20 food and nonfood risks. The results show considerable heterogeneity in perceptions of control and worry, that the degree of heterogeneity varies across the risks, and that women systematically consider themselves to have less control over the risks than men.
7730 ‎$w‎​MAP20077000345‎$t‎​Risk analysis : an international journal‎$d‎​McLean, Virginia : Society for Risk Analysis, 1987-2015‎$x‎​0272-4332‎$g‎​02/09/2013 Volumen 33 Número 9 - septiembre 2013
856  ‎$y‎​MÁS INFORMACIÓN‎$u‎​mailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A