Nicolai Waldstrøm

Nicolai Waldstrøm

Visiting Postdoc

University of Zurich

About Me

My name is Nicolai Waldstrøm. I am currently a visiting postdoc at the
University of Zurich.
I received my PhD from the University of Copenhagen in 2024. Prior to my doctoral studies, I completed a BSc and MSc degree at the same university and worked at the Danish Research Institute for Economic Analysis and Modelling and the Ministry of Finance.
My research interests lie in the field of Macroeconomics, with a particular focus on heterogeneous agent models and international macro.

You may find my CV here.

Working Papers

December 2024
Supply Shocks and Household Heterogeneity in Open Economies: Implications for Optimal Monetary Policy
Working Paper |
August 2024
Fiscal Multipliers in Small Open Economies With Heterogeneous Households
R&R at IMF Economic Review
Working Paper | Slides |
September 2024
The Transmission of Foreign Demand Shocks
R&R at Journal of the European Economic Association.
Working Paper | Working Paper 2022 | Code |
September 2024
From Micro to Macro: The Influence of Firm Heterogeneity on Foreign Shock Transmission
Working Paper | SSRN |

Teaching

Lecturer in Advanced Macroeconomics: Heterogenous Agent Models 2024

TA in Advanced Economics of the Environment and Climate Change 2021

  • Graduate level course on environmental, natural resource, and climate change economics

TA in Principle of Economics B 2018

  • Macro 101

Supervisor for BA/MA theses

  • I have experience in the supervision of BA/MA theses in areas within business cycle macro

Codes

I frequently work with computational methods for solving heterogeneous agent models, particularly in macroeconomics. Below are some useful tools and libraries:

Sequence-Space Methods (Python):

  • Sequence-JacobianDeveloped by Adrien Auclert, Bence Bardóczy, Matthew Rognlie and Ludwig Straub.
  • GEModelToolsDeveloped by Jeppe Druedahl.

Partial Equilibrium Consumption-Saving Models (Python):

JAX-Based HANK Model Solutions (Python):

State-Space Solutions and Bayesian Estimation of HANK Models (Julia):

  • BASEforHANKDeveloped by Christian Bayer, Benjamin Born and Ralph Luetticke.

Truncation Method for Optimal Policy in HANK Models (Julia/Matlab):