Research in Applied Econometrics Chapter 0. Syllabus

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Research in Applied Econometrics Chapter 0. Syllabus

Pr. Philippe Polomé, Université Lumière Lyon 2

M1 APE Analyse des Politiques Économiques M1 RISE Gouvernance des Risques Environnementaux

2020–2021

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Plan

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Presentation

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Motivation

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Organisation

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Myself gate.cnrs.fr/spip.php ?article44

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Toutes les diapos via cette page

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Master RISE http://risques-environnement.universite-lyon.fr Parcours “Gouvernance des Risques Environnementaux”

risques-environnement.universite-lyon.fr

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Course Objectives & Motivations

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Class in Econometrics

I In a unit of English language

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Goal: Expose students to applied econometrics in English

I Applied examples with environmental economics data

I Students should improve both their applied econometrics skills andtheir English level

I Attendance and interactions in class

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Focus on applied techniques: Introduction to R

I Empowering research in applied econometrics : learn the most widespread stat programming language

I More on that later

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Context : ex ante valuation of public (environmental) policies

I Contingent valuation / stated preferences

I In econometrics details I With R commands I With data & examples

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The relevance of valuation studies

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Cost-benefit analysis

I In France: large public project with a “déclaration d’utilité publique” have to justify that Benefit > Cost

I For market and nonmarket goods & services

I Including e.g. value of human life, ecosystem services, patrimonial

& heritage values I In principle

I How do we compute that ?

I That includes environmental “services”, e.g. ecosystem functions I But also all kinds of benefits & costs, e.g. a prison removes

criminal from society and helps their rehabilitation I “valeurs tutélaires” (guidelines) & consensual discount rate I

Damage assessment for non-market goods

I France introduced a few years ago the principles of environmental damage and compensation in kind

I well-embodied in US legislation I not so much in EU legislation

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Greening the National Accounts

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Course Plan

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Some practice with R

2.

Contingent valuation

I Nonmarket valuation basic theory I French tend to say “évaluation”

I English stresses the idea of valuing = “assigning a value”

I Best-known technique

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Choice experiment (if there’s time)

I Harder econometrics

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Course Organization

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6 lectures of 3.5 hours each

I Every week

I “Dispense d’assiduité”notpossible for language courses

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We use R : see 2020_R_installation_pour_tous_les_cours.pdf on website

I Bring your laptop as much as possible, with R on it I I consider that you have completed the swirl lessons I

Do not forget it is a language course

I Please interrupt me when you don’t understand

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Evaluation: “Contrôle continu” in class for 100%

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About 20’ at some point of each lecture

I Beginning, end or middle

I On what we have seen during that lecture&the previous one (not several)

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If you miss one, you get zero at that one

I The 1st one is just practice

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No final exam in “first session” in Decembre

I But “Rattrapage” in June: written or oral exam (depends on covid) using similar questions to CC

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It is

super important

that you read / study the class notes before coming to class

I That is why we do CC

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I will try to correct the tests as much as possible

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References

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Aizaki et.al. Stated Preference Methods Using R. Chapman and Hall/CRC, 20140815. VitalBook file.

I Use DCchoice-package {DCchoice} in R I Base documentation in R

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Kleiber & Zeilis, Applied Econometrics with R, Springer, 2008

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Wooldridge, J. Introductory Econometrics : A Modern

Approach, Michigan State University, 2012

I Click this link

I BU Chevreul[330.015.2 WOO] (1)

I Not[330.015.2 WOO] (2) Econometric analysis of cross section and panel data