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