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Department of Economics and Business Economics

Publications

Damm, A. P., Mattana, E. & Nielsen, H. S. (2022). Effects of school displacement on academic achievement and wellbeing of ethnic minorities. Labour Economics, 79, [102266]. https://doi.org/10.1016/j.labeco.2022.102266

Damgaard, M. T. & Nielsen, H. S. (2020). Behavioral economics and nudging in education: evidence from the field. In S. Bradley & C. Green (Eds.), The economics of education: A comprehensive overview (2. ed., pp. 21-38). Academic Press. https://doi.org/10.1016/B978-0-12-815391-8.00002-1

Damgaard, M. T. (2020). A decade of nudging: What have we learned? Institut for Økonomi, Aarhus Universitet. Economics Working Papers No. 2020-07

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2021). Er det pengene værd at beskytte landbruget? Jyllands-Posten, (Sektion 1), 33.

Dalgaard, C-J., Datta Gupta, N., Hansen, L. G. & Munch, J. R. (2021). En replik til Glavinds kritik. https://dors.dk/oevrige-publikationer/kronikker-artikler/replik-glavinds-kritik

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). CEPOS' kritik skyder ved siden af. Information, Sektion 1, 15-15.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2021). Gør som Norge - så kommer Danmark stærkest ud af krisen. Berlingske Tidende, Sektion 1 , 24-25.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Bevarelse gennem forandring. Børsen, Sektion 1, 4-4.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Vismændene: Tre principper bør styre genåbningen af Danmark. Jyllands-Posten, Sektion 4 (Erhverv), 16-16.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020, Nov). Fremtidens arbejdsudbud afhænger af, hvor sundt vi ældes. https://dors.dk/oevrige-publikationer/kronikker-artikler/fremtidens-arbejdsudbud-afhaenger-sundt-aeldes

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Vi risikerer, at tidligere tilbagetrækning for Arne kan øge ungdomsarbejdsløsheden. Berlingske Tidende, Sektion 1, 20-20.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Vismænd: Hjælpepakkerne skal afmonteres så hurtigt som muligt. Berlingske Tidende, Sektion 1, 24-24.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Vismænd: Dans med en hammer i lommen skal knække smittespredning. Jyllands-Posten, Sektion 4 (Erhverv), 17-17.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Statsstøtte til bestemte grønne løsninger er en dyr og dårlig vej til klimamål. Information, Sektion 1, 16-16.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Sådan kan Folketinget stimulere coronaøkonomien. Politiken, Sektion 2 (Kultur), 5-5.

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2020). Kan Corona-indgrebene betale sig? https://dors.dk/oevrige-publikationer/kronikker-artikler/kan-corona-indgrebene-betale

Dalgaard, C-J., Datta Gupta, N., Gårn Hansen, L. & Munch, J. R. (2021). Vismændene: Der er lys over vejen til klimamålet i 2030. Jyllands-Posten, Sektion 4, side 17.

Dai, W., Weder, M. & Zhang, B. (2020). Animal Spirits, Financial Markets, and Aggregate Instability. Journal of Money, Credit and Banking, 52(8), 2053-2083. https://doi.org/10.1111/jmcb.12691

Cázares, J. G. & Ivanovs, J. (2021). Recovering Brownian and jump parts from high-frequency observations of a Lévy process. Bernoulli, 27(4), 2413-2436. https://doi.org/10.3150/20-BEJ1314

Cui, X., Yu, M. & Zhang, R. (2022). Judicial Quality, Input Customisation, and Trade Margins: The Role of Product Quality. Economic Journal, 132(643), 926-952. https://doi.org/10.1093/ej/ueab098

Cubillos, M. & Wøhlk, S. (2021). Solution of the maximal covering tour problem for locating recycling drop-off stations. Journal of the Operational Research Society, 72(8), 1898-1913. https://doi.org/10.1080/01605682.2020.1746701

Cubillos, M. (2020). Multi-site household waste generation forecasting using a deep learning approach. Waste Management, 115, 8-14. https://doi.org/10.1016/j.wasman.2020.06.046

Cubillos, M. (2021). biokNN: A bi-objective imputation method for multilevel data in R.

Cubillos, M., Wulff, J. & Wøhlk, S. (2021). A multilevel Bayesian framework for predicting municipal waste generation rates. Waste Management, 127, 90-100. https://doi.org/10.1016/j.wasman.2021.04.011

Cubillos, M. E. (2022). Optimization and Data Analytics in Waste Management. Aarhus Universitet. ECON PhD Dissertations No. 2022-7

Cubillos, M., Wøhlk, S. & Wulff, J. (2022). A bi-objective k-nearest-neighbors-based imputation method for multilevel data. Expert Systems with Applications, 204, [117298]. https://doi.org/10.1016/j.eswa.2022.117298

Cubillos, M., Spliet, R. & Wøhlk, S. (2022). On the effect of using sensors and dynamic forecasts in inventory-routing problems. INFOR: Information Systems and Operational Research, 60(4), 473-490. https://doi.org/10.1080/03155986.2022.2073110

Corrado, L., Grassi, S. & Paolillo, A. (2021). Modelling and Estimating Large Macroeconomic Shocks During the Pandemic. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2021-08

Coleman, J. R. I., Gaspar, H. A., Bryois, J., Breen, G., Bipolar Disorder Working Group of the Psychiatric Genomics Consortium & Christensen, J. H. (2020). The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biological Psychiatry, 88(2), 169-184. https://doi.org/10.1016/j.biopsych.2019.10.015

Coco, M., Mønster, D., Leonardi, G., Dale, R. & Wallot, S. (2020). Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa. ArXiv. https://arxiv.org/abs/2006.01954

Coco, M., Mønster, D., Leonardi, G., Dale, R. & Wallot, S. (2021). Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa. The R Journal, 13(1), 145-163. https://doi.org/10.32614/RJ-2021-062

Clausen, J. & Li, H. J. (2022). Big data driven order-up-to level model: Application of machine learning. Computers & Operations Research, 139, [105641]. https://doi.org/10.1016/j.cor.2021.105641

Clausen, J. (2022). Predictive and Prescriptive Analytics In Operations Management: Using Big Data And Machine Learning. Aarhus Universitet. ECON PhD Dissertations No. 2022-14

Ciliberto, F. & Jäkel, I. C. (2021). Superstar exporters: An empirical investigation of strategic interactions in Danish export markets. Journal of International Economics, 129, [103405]. https://doi.org/10.1016/j.jinteco.2020.103405

Christiansen, C., Grønborg, N. S. & Nielsen, O. L. (2020). Mutual Fund Selection for Realistically Short Samples. Journal of Empirical Finance, 55(January), 218-240. https://doi.org/10.1016/j.jempfin.2019.12.001

Christiansen, C., Xing, R. & Xu, Y. (2020). Origins of Mutual Fund Skill: Market versus Accounting Based Asset Pricing Anomalies. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2020-14

Christiansen, S. (2022). Essays on Unilateral Climate Policy and on Corporate Debt. Aarhus Universitet. ECON PhD Dissertations No. 2022-3

Christensen, K., Christiansen, C. & Posselt, A. M. (2020). The economic value of VIX ETPs. Journal of Empirical Finance, 58, 121-138. https://doi.org/10.1016/j.jempfin.2020.05.009

Christensen, B. J., Parra-Alvarez, J. C. & Serrano, R. (2020). Optimal control of investment, premium and deductible for a non-life insurance company. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2020-11

Christensen, T. R. L. & Klose, A. (2021). A fast exact method for the capacitated facility location problem with differentiable convex production costs. European Journal of Operational Research, 292(3), 855-868. https://doi.org/10.1016/j.ejor.2020.11.048

Christensen, K., Siggaard, M. V. & Veliyev, B. (2021). A machine learning approach to volatility forecasting. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2021-03

Christensen, B. J., Datta Gupta, N. & Santucci de Magistris, P. (2021). Measuring the impact of clean energy production on CO₂ abatement in Denmark: Upper bound estimation and forecasting*. Journal of the Royal Statistical Society. Series A: Statistics in Society, 184(1), 118-149. https://doi.org/10.1111/rssa.12616

Christensen, B. J. & Varneskov, R. T. (2021). Dynamic Global Currency Hedging. Journal of Financial Econometrics, 19(1), 97-127. https://doi.org/10.1093/jjfinec/nbaa030

Christensen, B. J., Kjær, M. M. & Veliyev, B. (2021). The incremental information in the yield curve about future interest rate risk. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2021-11

Christensen, B. J., Parra-Alvarez, J. C. & Serrano, R. (2021). Optimal control of investment, premium and deductible for a non-life insurance company. Insurance: Mathematics and Economics, 101(Part B), 384-405. https://doi.org/10.1016/j.insmatheco.2021.07.005

Christensen, K., Oomen, R. & Renò, R. (2022). The drift burst hypothesis. Journal of Econometrics, 227(2), 461-497. https://doi.org/10.1016/j.jeconom.2020.11.004

Chernozhukov, V., Härdle, W. K., Huang, C. & Wang, W. (2021). LASSO-Driven Inference in Time and Space. Annals of Statistics, 49(3), 1702-1735. https://doi.org/10.1214/20-AOS2019

Cheng, W. J., Riezman, R. & Wang, P. (2021). The dynamics of outsourcing: From labor cost-saving to preference-based outsourcing. International Journal of Economic Theory, 17(1), 57-73. https://doi.org/10.1111/ijet.12292

Chan, J. M. L. & Zheng, H. (2022). FDI on the move: cross-border M&A and migrant networks. Review of World Economics, 158(3), 947-985. https://doi.org/10.1007/s10290-021-00450-1

Cefis, E., Marsili, O. & Rigamonti, D. (2020). In and Out of Balance: Industry Relatedness, Learning Capabilities and Post-Acquisition Innovative Performance. Journal of Management Studies, 57(2), 210-245. https://doi.org/10.1111/joms.12441

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Revised 02.01.2023

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Birgitte Højklint Nielsen