Curriculum vitae

Academic CV

This page presents my academic background, research, teaching experience, presentations, and technical skills.

Nicolas Djob Li Ngue Bikob

Economist · Research Fellow

CY Cergy Paris Université · THEMA, UMR CNRS 8184

Research fields

Public economics; optimal taxation; international economics; macroeconomics; monopolistic competition; inequality; computational economics.

Current position

2025–

Research Fellow in Economics

CY Cergy Paris Université · THEMA

Education

2025

PhD in Economics

CY Cergy Paris Université

Taxation in a Globalized Economy: Resource Allocation, Monopolistic Competition, and Cross-Border Dynamics

Supervisor: Professor Pascal Belan

2020

Master in Economic Analysis

CY Cergy Paris Université

2018

Master in Applied Mathematics

University of Douala

Research

Working Papers

2026

Fiscal Union Without Factor Union: Optimal VAT under Monopolistic Competition

Single-authored working paper. · PDF · Research page

2026

Commodity Tax Principles, Firm Location, and Skilled-Wage Incidence under the Destination and Origin Principles

Single-authored working paper. Submitted to International Tax and Public Finance, 2026. · PDF · Research page

Ongoing Research

2026

Monopolistic Competition in OLG Models: Efficiency and Inequality

Joint with Pascal Belan. Ongoing research. Draft available upon request.

View research entry

2026

Commodity Tax Principles, Iceberg Trade Costs, and Skilled-Wage Incidence

Joint with Anderson Vil and Usama Jamal. Ongoing research. Draft available upon request.

View research entry

Teaching experience

2020–2025

CY Cergy Paris Université

  • Macroeconomics I and II
  • Microeconomics
  • Mathematics and probability
  • Cost–benefit analysis

Selected presentations

  • THEMA research seminars
  • Louis-André Gérard-Varet Conference in Public Economics (LAGV)
  • International Institute of Public Finance Annual Congress (IIPF)

Methods and software

Economic theory, numerical optimization, calibration, econometrics, and policy simulation. Python, R, Stata, MATLAB, and GAMS.

Languages

French: fluent. English: professional working proficiency.