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Ex-Post Implications Of Ex-Ante Data Acquisition Strategies In Multiagent-Type Urban Freight Policy Evaluation

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  • Valerio Gatta

    (University of Roma Tre and CREI)

  • Edoardo Marcucci

    (University of Roma Tre and CREI)

Abstract

Data quality plays a relevant role in policy evaluation. Data quality is also strictly linked to questionnaire development and administration strategies. Willingness to pay estimates might be influenced by the data acquisition method adopted if an ex-post sophisticated modelling cannot compensate for the low quality data acquired. We test this hypothesis by comparing agent-generic vs. agent-specific data acquisition. This methodologically relevant question is investigated with respect to urban freight transport policy evaluation. In this field, in fact, heterogeneity among stakeholders' (i.e. retailers and transport providers) preferences is allegedly important since retailers, demanding freight transportation services, and transport providers, offering them, are characterised by, structurally and functionally motivated, differences in preferences. Results indicate that agent-specific data acquisition should be adopted. The analyst ought to take the longer data acquisition route when a strong and well rooted a priori knowledge suggests different agent-types' preferences are at work. This reflections are particularly valuable given ex-post agent-specific modelling cannot compensate for ex-ante agent-generic data acquisition procedure. Once perpetrated, the original sin cannot be redeemed.

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File URL: http://host.uniroma3.it/centri/crei/pubblicazioni/workingpapers2013/CREI_06_2013.pdf
File Function: First version, 2013
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Bibliographic Info

Paper provided by CREI Università degli Studi Roma Tre in its series Working Papers with number 0613.

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Length: 24 pages
Date of creation: 2013
Date of revision: 2013
Handle: RePEc:rcr:wpaper:06_13

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Related research

Keywords: Urban freight transport; policy evaluation; experimental design; data acquisition; willingness to pay; agent-specific.;

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  1. Simona Bolis & Rico Maggi, 2003. "Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 34(4), pages 490-504.
  2. Julian Allen & Michael Browne & Tom Cherrett, 2012. "Survey Techniques in Urban Freight Transport Studies," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 287-311, February.
  3. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
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