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ENV 350S / PUBPOL 280S Seminar in Marine Conservation Leadership

dc.contributor.author Stefanski, Stephanie
dc.contributor.author Smith, Martin D.
dc.date.accessioned 2016-12-12T15:27:45Z
dc.date.available 2016-12-12T15:27:45Z
dc.date.issued 2016
dc.identifier.uri https://hdl.handle.net/10161/13262
dc.description.abstract Duke PhD student Stephanie Stefanski recently taught a class focused on the process of designing, implementing, and analyzing the results from an economic valuation survey. The class was given as a module to inform the broader class themes of policy design and cost-benefit analysis in fisheries and marine resource management. The data file contains 1,526 observations of U.S. households who responded to an online Qualtrics survey in May 2012 about their familiarity with and willingness to pay to protect marine biodiversity in the Gulf of Mexico by paying additional taxes to fund an expansion of a marine sanctuary in the northern Gulf. There are 92 variables, which include socio-demographic characteristics of respondents, their answers to willingness to pay questions, and their answers to debriefing questions. Stephanie gave a presentation describing the context and motivation of the study and the main questions used in the survey. She then demonstrated to students the different data analysis commands and coding in Stata to visualize the data through histograms and frequency charts. These data visualizations informed the different types of regression analyses Stephanie taught the class. Finally, the students separated into small groups to discuss one of four policy implication discussion questions. The purpose of the exercise is to help students think critically about survey design and implementation, and how the results of surveys can be used to inform a variety of policies and to better understanding why people support environmental policy. The module successfully engaged students in learning about a published study and the data collection and analysis process it entailed. The class discussion fostered critical thinking about how to connect this type of data analysis and survey design to their own research and to addressing environmental challenges and policies beyond the scope of the study.
dc.description.sponsorship iID, Data Expeditions
dc.language.iso en_US
dc.publisher Marine Resource Economics
dc.subject Survey Design
dc.subject Stata
dc.subject Environmental Policy
dc.subject Data Analysis
dc.title ENV 350S / PUBPOL 280S Seminar in Marine Conservation Leadership
dc.type Dataset
dc.type Learning Object
dc.type Presentation
dc.type Report


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