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Research in Applied EconometricsChapter 0. Syllabus
Pr. Philippe Polomé, Université Lumière Lyon 2
M1 APE Analyse des Politiques ÉconomiquesM1 RISE Gouvernance des Risques Environnementaux
2020–2021
Plan
I PresentationI MotivationI Organisation
Myself gate.cnrs.fr/spip.php?article44
I Toutes les diapos via cette page
Master RISE http://risques-environnement.universite-lyon.frParcours “Gouvernance des Risques Environnementaux”
risques-environnement.universite-lyon.fr
Course Objectives & Motivations
I Class in EconometricsI In a unit of English language
I Goal: Expose students to applied econometrics in EnglishI Applied examples with environmental economics dataI Students should improve both their applied econometrics skills
and their English levelI Attendance and interactions in class
I Focus on applied techniques: Introduction to RI Empowering research in applied econometrics : learn the most
widespread stat programming languageI More on that later
I Context : ex ante valuation of public (environmental) policiesI Contingent valuation / stated preferencesI In econometrics detailsI With R commandsI With data & examples
The relevance of valuation studiesI Cost-benefit analysis
I In France: large public project with a “déclaration d’utilitépublique” have to justify that Benefit > Cost
I For market and nonmarket goods & servicesI Including e.g. value of human life, ecosystem services, patrimonial
& heritage valuesI In principle
I How do we compute that ?I That includes environmental “services”, e.g. ecosystem functionsI But also all kinds of benefits & costs, e.g. a prison removes
criminal from society and helps their rehabilitationI “valeurs tutélaires” (guidelines) & consensual discount rate
I Damage assessment for non-market goodsI France introduced a few years ago the principles of
environmental damage and compensation in kindI well-embodied in US legislationI not so much in EU legislation
I Greening the National Accounts
Course Plan
1. Some practice with R2. Contingent valuation
I Nonmarket valuation basic theoryI French tend to say “évaluation”I English stresses the idea of valuing = “assigning a value”
I Best-known technique3. Choice experiment (if there’s time)
I Harder econometrics
Course Organization
I 6 lectures of 3.5 hours eachI Every week
I “Dispense d’assiduité” not possible for language courses
I We use R : see 2020_R_installation_pour_tous_les_cours.pdf onwebsiteI Bring your laptop as much as possible, with R on itI I consider that you have completed the swirl lessons
I Do not forget it is a language courseI Please interrupt me when you don’t understand
Evaluation: “Contrôle continu” in class for 100%
I About 20’ at some point of each lectureI Beginning, end or middle
I On what we have seen during that lecture & the previous one (notseveral)
I If you miss one, you get zero at that oneI The 1st one is just practice
I No final exam in “first session” in DecembreI But “Rattrapage” in June: written or oral exam (depends on
covid) using similar questions to CCI It is super important that you read / study the class notes before
coming to classI That is why we do CC
I I will try to correct the tests as much as possible
References
I Aizaki et.al. Stated Preference Methods Using R. Chapman andHall/CRC, 20140815. VitalBook file.I Use DCchoice-package {DCchoice} in R
I Base documentation in R
I Kleiber & Zeilis, Applied Econometrics with R, Springer, 2008I Wooldridge, J. Introductory Econometrics : A Modern
Approach, Michigan State University, 2012I Click this linkI BU Chevreul[330.015.2 WOO] (1)
I Not [330.015.2 WOO] (2) Econometric analysis of cross sectionand panel data
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