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Books on the topic 'Stated preference method'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Ryan, Mandy. Stated preference: A method for establishing the nature of the patient's utility function. Aberdeen: Health Economics Research Unit, University of Aberdeen, 1992.

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2

Aizaki, Hideo. Stated preference methods using R. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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3

Meyerhoff, Jürgen. Stated preference methods for environmental valuation: Applications from Austria and Germany. Marburg: Metropolis, 2007.

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4

Camasso, Michael J., and Radha Jagannathan. Caught in the Cultural Preference Net. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190672782.001.0001.

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In this book, the authors focus their attention on the role that culture, that collection of values, beliefs, attitudes, and preferences responsible for creating national identities, has played and continues to play on individuals’ decisions when they are in or about to enter the labor market. At a time when millennials face many employment challenges and Generation Z can be expected to encounter even more, a clearer understanding of the ways cultural transmission could facilitate or hinder productive and rewarding work would appear to be both useful and well-timed. The book’s title—Caught in the Cultural Preference Net: Three Generations of Employment Choices in Six Capitalist Democracies—conveys the authors’ aim to determine if work-related beliefs, attitudes, and preferences have remained stable across generations or if they have become pliant under changing economic conditions. And while millennials serve as the anchoring point for much of our discussion, they do not neglect the significance that their parents from Generation X (b. 1965–1982) and their baby boomer parents (b. 1945–1964) may have had on their socialization into the world of work. The book is organized around three lines of inquiry: (a) Do some national cultures possess value orientations that are more successful than others in promoting economic opportunity? (b) Does the transmission of these value orientations demonstrate persistence irrespective of economic conditions or are they simply the result of these conditions? (c) If a nation’s beliefs and attitudes do indeed impact opportunity, do they do so by influencing an individual’s preferences and behavioral intentions? The authors’ principal method for isolating the employment effects of cultural transmission is what is referred to as a stated preference experiment. They replicate this experiment in six countries—Germany, Sweden, Spain, Italy, India, and the United States—countries that have historically adopted significantly different forms of capitalism. They not only find some strong evidence for cultural stability across countries but also observe an erosion in this stability among millennials.

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5

Stated Preference Methods Using R. Taylor & Francis Group, 2014.

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6

Brazier, John, Julie Ratcliffe, Joshua A. Salomon, and Aki Tsuchiya. Methods for obtaining health state utility values: generic preference-based measures of health. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.003.0007.

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This chapter describes the six most widely used generic preference-based measures of health (GPBMs) (also known as multiattribute utility scales): EQ-5D, SF-6D, HUI, AQoL, 15D, and QWB. GPBMs have become the most widely used method for obtaining health state utility values. They contain a health state classification with multilevel dimensions that together describe a universe of health states and a set of values (where full health = 1 and dead = 0) for each health state obtained by eliciting the preferences (typically) of members of the general population. These measures are reviewed in terms of their content, methods of valuation, the scores they generate, and the possible reasons for the differences found. Their performance is reviewed using published evidence on their validity across conditions, and the implications for their use in policy making discussed. The chapter also reviews the generic measures available for use in populations of children and adolescents.

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7

Yoo, Kwang Eui. A study of Korean air passengers' choice behaviour utilising stated preference and revealed preference methods. 1995.

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8

Brazier, John, Julie Ratcliffe, Joshua A. Salomon, and Aki Tsuchiya. Using ordinal response data to estimate cardinal values for health states. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.003.0006.

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There exists a strong methodological foundation for estimating cardinal values from ordinal information, originating in psychology but commonly applied in areas as diverse as consumer marketing, political science, transportation research, and environmental economics. Over recent years there has been a steady rise in the use of these approaches to estimate health state values. Potential advantages claimed for ordinal data collection approaches include relative ease of comprehension and administration, and greater reliability corresponding to reduced measurement error. Another advantage of some types of ordinal data collection methods is that the preferences or judgements they elicit are not contaminated by risk aversion (as in the standard gamble), or by time preference (as in the time trade-off).

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9

Brazier, John, Julie Ratcliffe, Joshua A. Salomon, and Aki Tsuchiya. Valuing health. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.003.0004.

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This chapter explores the methods for valuing health, sometimes known as preference elicitation techniques. It begins by describing and reviewing the main cardinal techniques used in the health economics literature for valuing health states (i.e. those methods that produce responses that are already on some interval scale). Different techniques can generate different values, and so this chapter also addresses the advantages and disadvantages of each technique. It goes on to examine the variants of each technique and the resulting implications of these for the values obtained. Finally, this chapter addresses the question of who should be asked to value health states, and considers whether values should be based on preferences (as is usually the case in economics) or experiences.

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10

Powe, Neil A. Redesigning Environmental Valuation: Mixing Methods Within Stated Preference Techniques (New Horizons in Environmental Economics). Edward Elgar Pub, 2007.

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11

Carson, Richard T. The Stated Preference Approach to Environmental Valuation (The International Library of Environmental Economics and Policy). Ashgate Pub Co, 2007.

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12

(Foreword), Kenneth J. Arrow, Ian J. Bateman (Editor), and Ken G. Willis (Editor), eds. Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU, and Developing Countries. Oxford University Press, USA, 2001.

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13

Ellwood, Sheila. Accounting for What We Treasure. Edited by Angela M. Labrador and Neil Asher Silberman. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190676315.013.13.

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Recent attempts to include and assess public heritage in the accounts of governments and charities are controversial. There are many kinds of value, not merely financial, and various measurement bases. This chapter examines why and how we account (if at all) for heritage assets bringing out the surrounding controversy. Is public heritage an asset that should be included in the reported wealth of public bodies and nations? The economic valuation methods, revealed preferences and stated preferences are the economic valuation methods investigated and considered in relation to the decisions to be made on public heritage. Although the conceptual and practical problems surrounding valuation and reporting of public heritage are immense, pragmatic solutions should be sought. Multidisciplinary approaches are necessary to make informed decisions on management, financing, and the allocation of resources for public heritage.

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14

Rathbun, Brian Christopher. Interviewing and Qualitative Field Methods: Pragmatism and Practicalities. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0029.

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This article recommends the use of intensive, in-depth interviews which can help to establish motivations and preferences, even though they must deal with the perils of ‘strategic reconstruction’. The first section of this article makes the pragmatic case for interviewing. The second portion is devoted to assembling in one place the consensus in the literature on the basics of how to undertake interviews, including issues of how to build arguments using interview data, how to structure questionnaires, the proper role to adopt vis-à-vis respondents, and how to gain access to conversation partners. Doubts about the status of interview data and the reliability of respondents must be taken into account but can be addressed. These disadvantages rarely outweigh the unique advantages of interviewing.

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15

Larder: Food Studies Methods from the American South. University of Georgia Press, 2013.

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16

Larder: Food Studies Methods from the American South. University of Georgia Press, 2013.

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17

Weiss, Helen. Design issues in global mental health trials in low-resource settings. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199680467.003.0004.

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In this chapter we outline the key principles in design and analysis of trials for mental health. The chapter focuses on randomized controlled trials as these are the gold-standard trial design, which minimizes confounding due to other factors and enables us to draw conclusions about the effectiveness of the intervention. Other key principles of trial design discussed in the chapter include methods to develop a clearly stated, testable research hypothesis, definition of well-defined outcomes, appropriate choice of the control condition, masking of providers and participants where possible, realistic sample size estimates, and appropriate data monitoring and statistical analysis plans. The chapter also outlines alternatives to the parallel arm superiority trial design, such as equivalence and non-inferiority trials, cross-over, stepped wedge, fixed adaptive, and patient preference trial designs.

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18

Brazier, John, Julie Ratcliffe, Joshua Saloman, and Aki Tsuchiya. Measuring and Valuing Health Benefits for Economic Evaluation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.001.0001.

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This is the second edition of the first comprehensive textbook about the measurement and valuation of health benefits for economic evaluation. The National Institute for Health and Care Excellence (NICE) and similar agencies around the word require cost-effectiveness evidence in the form of incremental cost per quality-adjusted life year (QALY) in order to make comparisons across competing demands on resources, and this has resulted in an explosion of theoretical and empirical work in the field. This book addresses the theoretical and practical considerations in the measurement and valuation of health benefit with empirical examples and applications to help clarify understanding and make relevant links to the real world. It includes a glossary of key terms and provides guidance on the use of different methods and instruments. This updated edition provides an-up-to date review of the theoretical basis of the QALY; the definition of health; the techniques of valuation (including ordinal); the modelling of health state values (including mapping between measures); a detailed review of generic preference-based measures and other instruments for obtaining health state utility values (with recent developments); cross-cultural issues (including the disability-adjusted life year); the aggregation of QALYs; and the practical issues surrounding the use of utility values in cost-effectiveness models. The book concludes with a discussion on the way forward in light of the substantial methodological differences, the role of normative judgements, and where further research is most likely to take forward this fascinating component of health economics.

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