Billede af Thomas Høgholm Jørgensen
  • Øster Farimagsgade 5, Bygning 26

    1353 København K

  • Kilde: Scopus
20132024

Publikationer pr. år

Personlig profil

Interesseområder

Household decision making, structural estimation and applied microeconometrics.

Aktuel forskning

I am currently working on life cycle consumption and how children may affect the consumption behavior of households.

Also, I am investigating the joint retirement behavior of Danish couples.

Kort præsentation

Personal homepage: www.tjeconomics.com

I am a computational economist employed as an Assistant Professor at the Department of Economics at University of Copenhagen. My main research interests are solving and estimating dynamic economic models. I have worked with models of intertemporal consumption and saving in relation to fertility behavior and children and labor supply and retirement.

 

CV

Thomas Høgholm Jørgensen
PhD, Assistant Professor
Department of Economics
E-mail: [email protected]
Phone: +4535323994
www.tjeconomics.com
 

Affiliation

 
Centre for Economic Behavior and Inequality (CEBI)
Department of Economics
University of Copenhagen
Øster Farimagsgade 5
DK-1353 Copenhagen K
Denmark
www.econ.ku.dk/cebi
 
Centre for Applied Microeconometrics (CAM)
Department of Economics
University of Copenhagen
Øster Farimagsgade 5
DK-1353 Copenhagen K
Denmark
www.econ.ku.dk/cam
 

Education

2015: 
PhD in Economics, University of Copenhagen 
 
2012:
MSc in Economics (cand.polit), University of Copenhagen, Denmark
 
 
2012:
Participated in Initiative for Computational Economics (ICE), University of Chicago Booth School of Business, IL, USA.
 
 
2012:
Visiting PhD student (Prof. John Rust) at University of Maryland, MD, USA, February-August.
 
 
2008:
Bsc in Economics, School of Economics and Management, Aarhus University, Denmark
 
 
 

Teaching Experience

Dynamic Programming - Theory, Computation and Empirical Applications (2015, 2016, 2018, 2019)
Probability Theory and Statistics (2018, 2019) 
 

 

 

Emneord

  • Det Samfundsvidenskabelige Fakultet
  • Structural Estimation
  • Household Models
  • Applied Microeconometrics

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