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1
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Sep 01
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Getting Started
Class orientation, intro to R,
workflow, packages
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Introductions
Introductions to each other and
potential projects
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Data Wrangling
Due Sep 07
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2
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Sep 08
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Data Wrangling
Importing, wrangling, and summarizing
data in R
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Decision Variables
Distinguishing between decision
variables and product attributes
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Plotting
Due Sep 14
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3
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Sep 15
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RMarkdown & Plotting
Intro to “literate
programming” with RMarkdown and plotting with {ggplot2}
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Project Scope
Defining attribute levels, target
survey population, competitors
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formr
Due Sep 21
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Project Proposal
Due Sep 26
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4
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Sep 22
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Intro to formr
Designing and implementing surveys in
formr
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Survey Plan 1
Overview of survey plan, work on
proposals
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5
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Sep 29
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No Class
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Team meetings w/Prof. Helveston
Feedback on
proposals
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Survey Plan
Due Oct 05
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6
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Oct 06
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Conjoint Questions
Generating conjoint questions in
R, implementing in formr
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Survey Plan 2
Begin implementing survey plan in
formr
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Utility Models
Due Oct 12
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Pilot Survey
Due Oct 15
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7
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Oct 13
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Utility Models
Intro to utility models, discrete
vs. continuous parameters, parameter coding
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Pilot Survey
Finish implementing pilot survey in
formr
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Estimation
Due Oct 19
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8
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Oct 20
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Optimization & MLE
Optimization, maximum
likelihood estimation
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Pilot Analysis 1
Import & clean pilot data,
joins
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Uncertainty
Due Oct 26
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9
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Oct 27
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Uncertainty
Computing uncertainty in coefficient
estimates
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Pilot Analysis 2
Reshaping data, estimating models
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Design of Experiment
Due Nov 02
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Pilot Analysis
Due Nov 07
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10
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Nov 03
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DOE & Power Analysis
Designing your survey to
reduce error
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Pilot Analysis 3
Refine attributes & levels,
conduct power analysis, plot results
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WTP & Simulations
Due Nov 09
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11
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Nov 10
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WTP & Simulations
Computing WTP, WTP space
models, market simulations
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WTP & Simulations
Compute WTP, define market
simulations, finalize final survey
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Heterogeneity
Due Nov 16
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Final Survey
Due Nov 19
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12
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Nov 17
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Heterogeneity
Modeling differences in preferences
across sample population
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Heterogeneity
Estimate mixed logit and subpopulation
models on pilot data
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13
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Nov 24
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Thanksgiving - no class
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Final Survey Feilding
Collecting data for final
survey
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14
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Dec 01
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Class Review
Overview of course concepts
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Sensitivity Analyses
Compute sensitivity analyses
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Exam
Due Dec 05
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Final Analysis
Due Dec 13
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15
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Dec 08
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Exam Solutions
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Final Analysis Lab
In class time to work on final
analysis
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16
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Dec 15
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Final Presentations
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Final Presentation
Due Dec 15
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