Andreas Iversen

Chief consultant at DREAM, Danish Research Institute for Economic Analysis and Modelling
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Contact Information
us****@****om
(386) 825-5501
Location
Copenhagen, Capital Region, Denmark, DK
Languages
  • English Full professional proficiency
  • Danish Native or bilingual proficiency

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Experience

    • Chief consultant
      • May 2019 - Present

      The Danish Institute for Economic Modelling and Forecasting (DREAM) conducts a variety of statistical and descriptive analyses of the Danish economy.I coordinate and project manage the analysis for ministries, NGOs, the research and consulting industry, with an offset in statistical techniques and economic modelling. Skills and responsibilities I would like to emphasis: Coordination and project management.Handling, manipulation og analysis of big data. Applied micro, marco and spatial econometrics. Machine learning.Programming in R, Phyton, Matlab, PowerShell and GAMS. Show less

    • Senior Economist
      • Apr 2014 - Apr 2019

      I conducted analysis for ministries, NGOs, the research and consulting industry, with an offset in statistical techniques and economic modelling. Skills and responsibilities I would like to emphasis: Handling and manipulation of big data. Applied micro econometricsSpatial econometric and data analysis.Machine learning.Hedonic housing pricing methods. Programming in R .

    • Head Of Section
      • Feb 2012 - Mar 2014

      I conducted policy analysis often with a focus on long-term projections and assessment of fiscal sustainability for the Ministry of Finance, DØRS and other external clients.Skills and experience I would like to emphasis:Maintaining and developing the DREAM CGE-model of the Danish Economy.Developing automated input and output data routines for the DREAM model in R. Programming: R, Phyton, Matlab, PowerShell and GAMS.

    • Denmark
    • Research
    • 700 & Above Employee
    • Teacher, Applied Economic Modeling
      • Sep 2019 - Present

      The course teaches students to convert modern macroeconomic theory into applied economic modeling on real data. The course teaches students the high-level modeling software GAMS.

    • Teacher, Computable General Equilibrium Models (Anvendte generelle ligevægtsmodeller)
      • Aug 2014 - Aug 2019

      The course teaches students to build and conduct analysis on basis of a CGE models. The models are primary used to address long term macroeconomic and welfare consequences of political reforms. The course teaches students the high-level modeling software GAMS.

    • Denmark
    • Research
    • 700 & Above Employee
    • Teacher Assistant, Economic Forecasts in Practice (Økonomiske Prognoser i Praksis)
      • 2011 - 2012

      The course teaches students to conduct analyzes of various political reforms and economic shocks to the Danish economy. As well as a practical approach to create economic forecasts on the basis of a macro econometric model. The course teaches students the timeseries and modeling software Gekko. The course teaches students to conduct analyzes of various political reforms and economic shocks to the Danish economy. As well as a practical approach to create economic forecasts on the basis of a macro econometric model. The course teaches students the timeseries and modeling software Gekko.

    • Government Relations
    • Student at Economic Models (Annual Danish Aggregate Model, ADAM)
      • 2007 - 2012

      The ADAM group is responsible for the economic model ADAM. The model is the primary tool used by the Ministry of Finance to forecast the Danish National Accounts I was responsible for maintaining and developing the financial sector part of the model and private consumption CES-system. The job involved various form of estimation and developing of new equation to the macro econometric model (ADAM) and maintaining the associated data bank. The ADAM group is responsible for the economic model ADAM. The model is the primary tool used by the Ministry of Finance to forecast the Danish National Accounts I was responsible for maintaining and developing the financial sector part of the model and private consumption CES-system. The job involved various form of estimation and developing of new equation to the macro econometric model (ADAM) and maintaining the associated data bank.

Education

  • University of Copenhagen
    Master's Degree, economy
    2005 - 2012
  • Stanford University
    Statistical Learning, Pass with distinction.
    2015 - 2015
  • London School of Economics and Political Science
    Master's Degree, Money and Banking
    2010 - 2010

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