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| Gibson, Fiona L.; Burton, Michael P.. |
| Observed and unobserved characteristics of an individual are often used by researchers to explain choices over the provision of environmental goods. One means for identifying what is typically an unobserved characteristic, such as an attitude, is through some data reduction technique, such as factor analysis. However, the resultant variable represents the true attitude with measurement error, and hence, when included into a non-linear choice model, introduces bias in the model. There are well established methods to overcome this issue, which are seldom implemented. In an application to preferences over two water source alternatives for Perth in Western Australia, we use structural equation modeling within a discrete choice model to determine whether... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Contingent valuation; Attitudes; Structural equation modeling; Recycled water; Environmental Economics and Policy; Research Methods/ Statistical Methods; Q51; Q53; C13. |
| Ano: 2011 |
URL: http://purl.umn.edu/103428 |
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| Gibson, Fiona L.; Burton, Michael P.. |
| This report presents an alternative perspective on how respondents consider choice experiment options. Building on the ‘new’ model of consumer demand by Stigler and Becker (1977), the report suggests that the attributes within choice experiments are not valued directly. Rather, they are used to generate higher-level improvement in the environment (‘constructs’). This implies that to achieve the environmental outcome, what are currently viewed as marginal utilities of attributes are in fact marginal utilities mixed with (subjective) marginal productivity of the attribute. The research report also proposes that hierarchical Information integration methods may allow separate identification of the utility and production functions, and the individual... |
| Tipo: Report |
Palavras-chave: Environmental Economics and Policy; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/94889 |
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| Gibson, Fiona L.; Burton, Michael P.. |
| The introduction of measurement bias in parameter estimates into non-linear discrete choice models, as a result of using factor analysis, was identified by Train et al. (1987). They found that the inclusion of factor scores, used to represent relationships amongst like variables, into a subsequent discrete choice models introduced measurement bias as the measurement error associated with each factor score is excluded. This is an issue for non-market valuation given the increase in popularity of including psychometric data, such as primitive beliefs, attitudes and motivations, in willingness to pay estimates. This study explores the relationship between willingness to pay and primitive beliefs through a case study eliciting Perth community values for... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Discrete choice models; Attitudes; Factor analysis; Measurement models; Recycled wastewater. |
| Ano: 2009 |
URL: http://purl.umn.edu/47943 |
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