Skip to main content

ECN421 Intensive PhD Course in Taxes, Inequality, and the Environment

Credits (ECTS):3

Responsible faculty:Handelshøyskolen

Course responsible:Annette Alstadsæter, Knut Einar Rosendahl

Campus / Online:Taught campus Ås

Teaching language:English

Limits of class size:20

Course frequency:Annually

Nominal workload:

Preparatory reading and reflection over approximately 20 articles and report: 20 hours

Lectures and soft skills session: 15 hours

Individual project and role as discussant: 20 hours

Written home exam: 25 hours

Teaching and exam period:

TBD - tentatively May 2026

Assesment period: TBD - May-June 2026

About this course

Dette emnet blir kun gitt på engelsk.

This intensive course provides doctoral students with an in-depth exploration of current research in public and environmental economics, with a particular focus on taxation, inequality, organizational form, and firm behavior. Climate policy relies heavily on tax and other price instruments such as carbon pricing, fuel and energy taxes, green subsidies and tax expenditures. These instruments interact with inequality through consumption patterns, ownership of capital, labour market adjustments, and exposure to environmental risks. This intensive course provides doctoral students with a research-oriented introduction to key concepts, empirical evidence, and open research questions at the intersection of taxation, inequality, and the environment. It also trains core academic skills: presenting early-stage research, discussing others’ work constructively, and responding to feedback.

The course is designed to stimulate reflection and identify open research questions and knowledge gaps, to broaden the PhD students’ networks, and to spur new collaborations across institutions and fields.

The course consists of 6 sessions: 5 academic lectures plus 1 skills-oriented session. Academic sessions combine lecture, guided discussion, and structured reflection.

Day 1: Foundations and big picture (lectures + discussion)

Session 1: Taxes, environmental policy, and inequality: the big picture Core concepts and frameworks: why link these topics; what to measure; channels from policy to distributional outcomes; labour supply, consumption, firm and investor responses; and how policy design affects efficiency and equity.

Session 2: Environmental taxation and distributional impacts Incidence of carbon pricing and environmental taxes, distribution across income and geography, compensation mechanisms, and common policy packages.

Day 2: Who emits, who pays, and what drives acceptance and innovation (lectures + discussion)

Session 3: Inequality in emissions and responsibility for decarbonisation How to measure emissions inequality (consumption-based, income-based, and ownership/investment-based perspectives); who "causes" emissions; who bears burdens; and implications for policy design and fairness.

Session 4: Public acceptance, fairness, and political economy of environmental taxes How distributional perceptions and fairness narratives shape support for environmental taxes; the role of information and policy design; links to attitudes toward taxation and the green transition.

Session 5: Innovation, green technological change, and the role of carbon pricing and tax policy How carbon pricing and complementary innovation policies shape green and non-green innovation; patents and measurement; identification challenges; and implications for effective climate policy.

Day 3: Academic skills lab

Session 6: Presenting research, discussing well, and giving useful feedback A structured introduction to academic presentation and discussion: framing a contribution, positioning in literature, communicating identification and data needs, and giving actionable comments. This session is based on a short course note developed at Skatteforsk (discussion guidelines, comment templates, and common pitfalls).

Student workshop: Participants are divided into groups. Each student presents a short research sketch, receives feedback from peers and faculty, responds, and then serves as discussant for others. The aim is to practice the core "seminar reality" of academic work.

Practical information

The course is free of charge. Skatteforsk will cover hotel and meals during the course days for participants.

Participants are expected to cover travel costs through their home institutions, and if this is not possible, they may apply for travel support from the Nordic Tax Research Council (rolling deadline; typically fast processing). A link will be provided in the course announcement. If travel support application is documentably denied by the Nordic Tax Research Council, the participants may apply for travel cost contribution at skatteforsk@nmbu.no on a case-by-case basis.

Learning outcome

Knowledge. After completing the course, the candidate

  • Has advanced knowledge of how environmental taxation and climate policy instruments interact with inequality through incidence, behavioural responses, and compensation mechanisms.
  • Understands central theoretical frameworks and core empirical approaches in research on carbon pricing, distributional impacts, green innovation, and political support for climate policy.
  • Has insight into measurement challenges, including differences between consumption-based, income-based, and ownership-based perspectives on emissions and burdens.
  • Recognizes key open research questions at the intersection of taxes, inequality, climate risks, and the green transition.

Skills. After completing the course, the candidate can:

  • Critically assess academic research in the field and identify strengths and weaknesses in research design, data choices, and causal inference.
  • Formulate and communicate a feasible research question and outline an empirical strategy, including data requirements and identification concerns.
  • Present a research sketch clearly to an academic audience and respond constructively to comments.
  • Act as a professional discussant, providing structured, concrete, and useful feedback to peers.

General competence. After completing the course, the candidate:

  • Demonstrates the ability to engage in scholarly discussion with high professional standards, including constructive critique and respectful disagreement.
  • Contributes to a strong research environment by participating actively in peer review and seminar-style feedback.
  • Can connect course insights to their own research agenda and identify opportunities for collaboration across fields and institutions.
  • Strengthens academic networking skills through interaction with peers and senior researchers in the course.
  • Learning activities

    Lectures and seminar discussions

    •Soft-skill training on presentations, discussion, and academic communication

    •Mentored group sessions with peer presentation and discussion

    •Submission of a written assignment

  • Teaching support
    Lectures and group sessions are led by course faculty and guest speakers. Students receive mentoring and feedback throughout the course.
  • Syllabus
    TBA - list of approx 20 academic papers
  • Prerequisites
    MA in Economics or similar field.
  • Assessment method
    • Grading is pass or fail.
  • About use of AI

    Written assignment: K2 - AI tools may be used for idea generation and language editing. The use of AI must be documented with a brief explanation of which tools were used and how they were applied in the text. The student is responsible for the final content of the submission after any language editing has been completed.

    For other compulsory activities:

    - Presenting and discussant activites: K2 - AI tools may be used for idea generation and language editing.

    The use of AI must explained briefly during presentation.

    See NMBUs guidelines for use of AI. https://www.nmbu.no/en/guidelines-use-artificial-intelligence-ai-nmbu

    Descriptions of AI-category codes.

  • Examiner scheme

    Quality assessment of the syllabus and the course by the use of an external examiner.

    Professor Ronald Davies

  • Mandatory activity
    • Full participation at the course (three days)
    • Presentation of own research project or idea in small, mentored groups and act as discussant for a peer presentation.
  • Teaching hours

    Lectures and soft skills session: 15 hours

    Individual project and role as discussant: 20 hours

  • Admission requirements

    Must be enrolled in a PhD program in economics or related field.

    Accepted own ongoing paper/project idea for presentation at the course.