Christian M. Dahl

cand.oecon (Aarhus), PhD in Economics

  • Campusvej 55

    5230 Odense M

    Denmark

20012019
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Personal profile

Curriculum

Experience and Education:

 

  • Professor of Econometrics, University of Southern Denmark (Jan.2010-...)
  • Professor of Economics (fixed term), Aarhus University (June 2009 – Dec. 2009).
  • Associate Prof. of Economics, Aarhus University (Jan. 2007 – May 2009).
  • Associate Prof. of Economics, University of Southern Denmark (May 2006 – December 2006).
  • Associate Prof. of Economics, Purdue University, USA (May. 2006 – May 2007).
  • Assistant Prof. of Economics, Purdue University, USA (Aug. 2000 – May 2006).
  • Ph.D. (Economics), Aarhus University, Denmark (2000).
  • Head of Section, Danish Economic Council (Aug. 1999 – Aug. 2000).
  • Head of Section, The Danish Ministry of Finance (Oct. 1994-Sept. 1996).
  • Cand. Oecon., Aarhus University, Denmark (Oct. 1994).

 

Professional Affiliations:

 

  • Research Fellow (Core Member), Centre for Economic and Business Research (CEBR), Copenhagen Business School (since November 2006).
  • Research Fellow (Core Member), Centre for Research in Econometric Analysis of Time Series, (CREATES), University of Aarhus (since April 2007).

 

Research Interests:

 

  • Big Data Predictive Analytics
  • AI and Machine Learning
  • Computer Vision
  • Time Series Econometrics
  • Quantile Regression
  • Panel Data Analysis

 

Teaching Experience (G=Graduate course, UG = Undergraduate course):

 

  • Big Data Analytics as Means of Improved Decision Making (G)
  • Regression Analysis (UG),
  • Econometrics (G),
  • Microeconometrics (G),
  • Time Series Analysis (UG, G),
  • Probability and Statistics (G),
  • International Finance (UG).

 

Publications:

 

  • Dahl, Christian M., and Line P. Kongsted (2017), " The Costs of Acute Readmission to a Different Hospital - Does the Effect Vary Across Provider Types?", Social Science and Medicine, 183:116-125.
  • Croonenbroeck, Carsten and Christian M. Dahl (2014), "Accurate medium-term wind power forecasting in a censored classification framework," Energy, 73:221-232.
  • Effriamidis, Georgios and Christian M. Dahl (2014), "Nonparametric estimation of cumulative incidence functions for competing risks data with missing cause of failure," Statistics and Probability Letters, 89:1-7.
  • Dahl, Christian M., Daniel le Maire and Jakob R. Munch (2013) “Wage Dispersion and Decentralization of Wage Bargaining,” Journal of Labor Economics, 31:501-533.
  • Bache, Stefan, Christian M. Dahl and Johannes T. Kristensen (2012), “Headlights on tobacco road to low birthweight outcomes: Evidence from a battery of quantile regression estimators and a heterogeneous panel,” Empirical Economics (forthcoming)
  • Christensen, Bent Jesper, Christian M. Dahl and and Emma M. Iglesias (2012), “Semiparametric Inference in a GARCH-in-Mean Model,” Journal of Econometrics, 167:458-472.
  • Dahl, Christian M., Hans Christian Kongsted and Anders Sørensen (2011), “ICT and Productivity Growth in the 1990’s: The European Evidence,” Empirical Economics, 40:141-164.
  • Dahl, Christian M. and Emma M. Iglesias (2011),“Modelling the risk-return tradeoff when volatility may be non-stationary,” Journal of Time Series Econometrics, 3(1)..
  • Dahl, Christian M. and Emma M. Iglesias (2009), “Volatility spill-overs in commodity spot prices: New empirical results.” Economic Modelling, 26:601-607.
  • Dahl, Christian M., Henrik Hansen and John Smidt (2009), “The cyclical component factor model.” International Journal of Forecasting, 25:119-127 .
  • Abrevaya, Jason and Christian M. Dahl (2008), "The effects of birth inputs on birthweight: evidence from quantile estimation on panel data." Journal of Business and Economic Statistics, 26(4):379-397.
  • Dahl, Christian M. and Michael Levine (2006), "Nonparametric estimation of volatility models with serially dependent innovations." Statistics and Probability Letters, 76:2007-2016.
  • Dahl, Christian M. & Tamer Kulaksizovglu (2006), "Modelling Changing Lag Structure in U.S. Housing Construction" in D. van Dijk, C. Milas, and P. Rothman, Nonlinear Time Series Analysis of Business Cycles, Elsevier, pages 407-429.
  • Dahl, Christian M, Henrik Hansen & John Smith (2005), “Makroøkonomiske forudsigelser baseret på diffusionsindeks.” Danish Economic Review, 143(2):125-152.
  • Dahl, Christian M. & and Lin Xia (2004), "Quantification of Qualitative Survey Data and Tests of Consistent Expectations: A New Likelihood Approach." Journal of Business Cycle Measurement and Analysis, 1(1):Article 4.
  • Dahl, Christian M. and Gloria Gonzalez-Rivera (2003) "Identifying Nonlinear Components by Random Fields in the US GNP Growth. Implications for the Shape of the Business Cycle." Studies in Nonlinear Dynamics & Econometrics, 7(1):Article 2.
  • Dahl, Christian M. & Svend Hylleberg (2003), "Specifying Econometric Models by Flexible Regression Models and Relative Forecast Performance." International Journal of Forecasting, 20(2):201-217.
  • Dahl, Christian M. & Gloria Gonzalez-Rivera (2003), "Testing for Neglected Nonlinearity in Regression Models based on the Theory of Random Fields." Journal of Econometrics, 114(1):141-164.
  • Dahl, Christian M. (2002), "An Investigation of Tests for Linearity and the Accuracy of Maximum Likelihood based Inference using Random Fields." The Econometrics Journal, 5(2): 263-284.
  • Dahl, Christian M. & Niels L. Hansen (2001), "The Formation of Inflation Expectations under Changing Inflation Regimes," Studies in Nonlinear Dynamics and Econometrics, 4(4): 183-212. 

 

Research areas

  • Big Data Predictive Analytics
  • AI and Machine Learning
  • Computer Vision
  • Time series Econometrics
  • Quantile Regression
  • Panel Data Analysis

Research information

Christian M. Dahl acquired his PhD degree in economics in 2000 from Aarhus University. He is now Professor at the Department of Business and Economics, University of Southern Denmark after being affiliated with first the Krannert School of Management, Purdue University, USA, for several years and School of Economics and Management, Aarhus University. Dahl’s main fields of interest are big data predictive analytics, machine learning and computer vision in the sociale sciences, time series econometrics, panel data models, quantile regression and conditional volatility modeling. He is member of the editorial board for Annals of Finance. He is also member of the Danish Research Foundation. His has published in leading journals, such as Journal of Econometrics, Journal of Labor Economics, Journal of Business and Economic Statistics, The Econometrics Journal, and International Journal of Forecasting.

Fingerprint Dive into the research topics where Christian M. Dahl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2001 2019

Asymptotic normality of the MLE in the level-effect ARCH model

Dahl, C. M. & Iglesias, E. M., 19. Jan 2019, In : Statistical Papers.

Research output: Contribution to journalJournal articleResearchpeer-review

Autoregressive Conditional Heteroscedasticity
Asymptotic Normality
Maximum Likelihood Estimator
Asymptotic Properties
Simulation

Document Digitization and Machine Learning

Dahl, C. M. & Sørensen, E. N., 2019.

Research output: Working paperResearch

Analog to digital conversion
Transcription
Learning systems
Sorting
Data acquisition

Nonparametric Wind Power Forecasting under Fixed and Random Censoring

Dahl, C. M., Pedersen, M. H. & Effraimidis, G., 2019, In : Energy Economics.

Research output: Contribution to journalJournal articleResearchpeer-review

Table detection and Segmentation

Dahl, C. M., Sørensen, E. N. & Westermann, C. E., 2019.

Research output: Working paperResearch

Optical character recognition
Social sciences
Transcription
Statistical methods
Economics

Activities 2013 2018

Datadreven identifikation af virksomheder med arbejdsmiljøproblemer

Christian M. Dahl (Consultant)
1. Jan 201831. Dec 2019

Activity: Public and private sector consultationPublic sector consultancy

Fin-tech in action

Christian M. Dahl (Consultant)
2018

Activity: Public and private sector consultationConsultancy

Transcribing historical documents using artificial intelligence and computer vision

Christian M. Dahl (Consultant)
2018

Activity: Public and private sector consultationConsultancy

Skriftgenkendelse – hvor langt er vi?

Christian M. Dahl (Guest lecturer)
27. Sep 201728. Sep 2017

Activity: Talks and presentationsTalks and presentations in private or public companies

Statistical tests for equal predictive ability across multiple forecasting methods

Christian M. Dahl (Examiner)
1. Jan 2017

Activity: ExaminationExternal examination

Press / Media

Er man genetisk kodet til at blive iværksætter?

Christian M. Dahl

08/08/2019

1 Media contribution

Press/Media: Press / Media

Er man genetisk kodet til at blive iværksætter?

Christian M. Dahl

08/08/2019

1 Media contribution

Press/Media: Press / Media

Er man genetisk kodet til at blive iværksætter?

Christian M. Dahl

08/08/2019

1 Media contribution

Press/Media: Press / Media

Er man genetisk kodet til at blive iværksætter?

Christian M. Dahl

08/08/2019

1 Media contribution

Press/Media: Press / Media

Er man genetisk kodet til at blive iværksætter?

Christian M. Dahl

08/08/2019

1 Media contribution

Press/Media: Press / Media

Prizes

TWinner of The Golden Pointer

Christian M. Dahl (Recipient), 2007

Prize: Prizes, scholarships, distinctions

Teaching
Economics

Winner of The Golden Pointer

Christian M. Dahl (Recipient), 2009

Prize: Prizes, scholarships, distinctions

Teaching
economics

Teaching & Supervision

Big data as a means for improved decision making

01/09/201631/01/2018

Course: Teaching

Regressionsanalyse

Christian M. Dahl

01/09/201531/01/2018

Course: Teaching

Samfundsvidenskabelig metode

Christian M. Dahl

01/09/201331/01/2015

Course: Teaching

Statistik

Christian M. Dahl

01/02/201730/06/2017

Course: Teaching