Publications

Poulsen, M. L., Bukh, P. N. & Christensen, K. S. (2023). (Dys)functionality of intentions or outcomes? Performance funding of Danish schools. Accounting, Auditing and Accountability Journal, 36(1), 267-294. https://doi.org/10.1108/AAAJ-12-2020-5034

Bennedsen, M., Hillebrand, E. & Koopman, S. J. (2023). A statistical model of the global carbon budget 1959-2020. Journal of the Royal Statistical Society. Series A: Statistics in Society, 186(1), 20-42. https://doi.org/10.1093/jrsssa/qnac014

Marks, K. P., Birkebæk, N. H., Pouwer, F., Ibfelt, E. H., Thastum, M. & Jensen, M. B. (2023). Adherence in Diabetes Questionnaire (ADQ) score as predictor of 11-year HbA1c trajectories in children and adolescents with type 1 diabetes: A population-based longitudinal study. Diabetes Research and Clinical Practice, 197, [110558]. https://doi.org/10.1016/j.diabres.2023.110558

Palmos, A. B., Hübel, C., Lim, K. X., Hunjan, A. K., Coleman, J. R. I. & Breen, G. (2023). Assessing the Evidence for Causal Associations Between Body Mass Index, C-Reactive Protein, Depression, and Reported Trauma Using Mendelian Randomization. Biological Psychiatry: Global Open Science, 3(1), 110-118. https://doi.org/10.1016/j.bpsgos.2022.01.003

Schünemann, J. & Trimborn, T. (2023). Boosting taxes for boasting about houses? Status concerns in the housing market. Journal of Economic Behavior and Organization, 205, 120-143. https://doi.org/10.1016/j.jebo.2022.10.037

Nielsen, S. A. (2023). Boys left behind: The effects of summer camp and follow-up strategies on academic, personal, and social competencies. Economics of Education Review, 93. https://doi.org/10.1016/j.econedurev.2023.102370

Hall, A. D., Silvennoinen, A. & Teräsvirta, T. (2023). Building Multivariate Time-Varying Smooth Transition Correlation GARCH Models, with an Application to the Four Largest Australian Banks. Econometrics, 11(1), [5]. https://doi.org/10.3390/econometrics11010005

Mackinnon, J. G., Nielsen, M. Ø. & Webb, M. D. (2023). Cluster-Robust Inference: A Guide to Empirical Practice. Journal of Econometrics, 232(2), 272-299. https://doi.org/10.1016/j.jeconom.2022.04.001

Karni, E. & Vierø, M-L. (2023). Comparative incompleteness: Measurement, behavioral manifestations and elicitation. Journal of Economic Behavior & Organization, 205, 423-442. https://doi.org/10.1016/j.jebo.2022.11.016

Karle, H., Schumacher, H. & Vølund, R. (2023). Consumer loss aversion and scale-dependent psychological switching costs. Games and Economic Behavior, 138, 214-237. https://doi.org/10.1016/j.geb.2023.01.001

Jensen, M. B., Jensen, C. E., Gudex, C., Pedersen, K. M., Sørensen, S. S. & Ehlers, L. H. (2023). Danish population health measured by the EQ-5D-5L. Scandinavian Journal of Public Health, 51(2). https://doi.org/10.1177/14034948211058060

Schröder, P. (2023). Dansk økonomi og den europæiske økonomiske integration. In U. Neergaard & K. E. Sørensen (Eds.), Danmark og EU gennem 50 år: en milepæl (pp. 95-108). Djøf Forlag.

Bølling-Ladegaard, E., Dreier, J. W., Kessing, L. V., Budtz-Jørgensen, E., Lolk, K. & Christensen, J. (2023). Directionality of the Association Between Epilepsy and Depression: A Nationwide, Register-Based Cohort Study. Neurology, 100(9), e932-e942. https://doi.org/10.1212/WNL.0000000000201542

Berggren, N. & Bjørnskov, C. (2023). Does Legal Freedom Satisfy? European Journal of Law and Economics, 55(1), 1-28. https://doi.org/10.1007/s10657-022-09753-6

Ergemen, Y. E. & Rodríguez-Caballero, C. V. (2023). Estimation of a Dynamic Multi-Level Factor Model with Possible Long-Range Dependence. International Journal of Forecasting, 39(1), 405-430. https://doi.org/10.1016/j.ijforecast.2021.12.004

Christiansen, C., Jansson, T., Kallestrup-Lamb, M. & Norén, V. A. (2023). Households’ Investments in Socially Responsible Mutual Funds  . The Quarterly Review of Economics and Finance, 87, 46-67. https://doi.org/10.1016/j.qref.2022.11.005

Emde, S., Zehtabian, S. & Disser, Y. (2023). Point-to-point and milk run delivery scheduling: models, complexity results, and algorithms based on Benders decomposition. Annals of Operations Research, 322(1), 467-496. https://doi.org/10.1007/s10479-022-04891-1

Musliner, K. L., Andersen, K. K., Agerbo, E., Albiñana, C., Vilhjalmsson, B. J., Rajagopal, V. M., Bybjerg-Grauholm, J., Bækved-Hansen, M., Pedersen, C. B., Pedersen, M. G., Munk-Olsen, T., Benros, M. E., Als, T. D., Grove, J., Werge, T., Børglum, A. D., Hougaard, D. M., Mors, O., Nordentoft, M. ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2023). Polygenic liability, stressful life events and risk for secondary-treated depression in early life: a nationwide register-based case-cohort study. Psychological Medicine, 53(1), 217-226. https://doi.org/10.1017/S0033291721001410

Bech, U., Svarer, M. & Whitta-Jacobsen, H. J. (2023). Økonomiske sværvægtere: Det er unødvendigt at afskaffe store bededag. Altinget. https://www.altinget.dk/arbejdsmarked/artikel/oekonomiske-svaervaegtere-det-er-unoedvendigt-at-afskaffe-store-bededag

Bennedsen, M., Hillebrand, E. & Jensen, S. M. (2022). A Neural Network Approach to the Environmental Kuznets Curve. Aarhus Universitet. CREATES Research Paper No. 2022-09

Bauer, R., Christiansen, C. & Døskeland, T. (2022). A Review of the Active Management of Norway's Government Pension Fund Global. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4003433

Catania, L. (2022). A Stochastic Volatility Model with a General Leverage Specification. Journal of Business and Economic Statistics, 40(2), 678-689. https://doi.org/10.1080/07350015.2020.1855187

Bjørnskov, C., Knoll, B. & Rode, M. (2022). A Time to Plot, a Time to Reap: Coups, Regime Changes and Inequality. Defence and Peace Economics, 33(8), 912-937. https://doi.org/10.1080/10242694.2021.1974793

Pedersen, C., Villadsen, A. R. & Wulff, J. (2022). A Two-part Framework for Modeling Innovation Sales Relative to Total Sales. Paper presented at Academy of Management Annual Meeting 2022, Seattle, United States.

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

Tudoran, A. A. (2022). A machine learning approach to identifying decision‑making styles for managing customer relationships. Electronic Markets, 32(1), 351-374. https://doi.org/10.1007/s12525-021-00515-x

Boelt, S. G., Plana-Ripoll, O., Albiñana, C., Vilhjálmsson, B., McGrath, J. J. & Cohen, A. S. (2022). A method to correct for the influence of bovine serum albumin-associated vitamin D metabolites in protein extracts from neonatal dried blood spots. BMC Research Notes, 15(1), 194. [194]. https://doi.org/10.1186/s13104-022-06077-1

Kang, J., Jakobsen, J. S., Silvennoinen, A., Teräsvirta, T. & Wade, G. (2022). A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model. Aarhus Universitet. CREATES Research Paper No. 2022-01

Kang, J., Jakobsen, J. S., Silvennoinen, A., Teräsvirta, T. & Wade, G. (2022). A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model. Econometrics, 10(3), [30]. https://doi.org/10.3390/econometrics10030030

Blasques, F., Koopman, S. J. & Nientker, M. (2022). A time-varying parameter model for local explosions. Journal of Econometrics, 227(1), 65-84. https://doi.org/10.1016/j.jeconom.2021.05.008

Berggren, N. & Bjørnskov, C. (2022). Academic freedom, institutions and productivity. Southern Economic Journal, 88(4), 1313-1342. https://doi.org/10.1002/soej.12561

Cavaliere, G., Nielsen, M. Ø. & Robert Taylor, A. M. (2022). Adaptive Inference in Heteroscedastic Fractional Time Series Models. Journal of Business and Economic Statistics, 40(1), 50-65. https://doi.org/10.1080/07350015.2020.1773275

Svarer, M. (2022). Arbejdsmarkedet og tilbagetrækning. In T. M. Andersen & J. Rose Skaksen (Eds.), Et aldrende Danmark (pp. 132-145). Gyldendal. https://www.rockwoolfonden.dk/app/uploads/2022/03/RFF-2022_Et-aldrende-Danmark.pdf

Jørgensen, P. L., Rangvid, J. & Ramlau-Hansen, H. (2022). Asset Allocation, Investment Policies and Returns. In T. M. Andersen, S. E. Hougaard Jensen & J. Rangvid (Eds.), The Danish Pension System: Design, Performance, and Challenges (pp. 118-156). Oxford University Press. https://doi.org/10.1093/oso/9780198867425.003.0005

Borup, D. & Montes Schütte, E. C. (2022). Asset pricing with data revisions. Journal of Financial Markets, 59(Part B), [100620]. https://doi.org/10.1016/j.finmar.2021.100620

Lindkvist, E. B., Thorsen, S. U., Paulsrud, C., Thingholm, P. R., Eriksen, T. L. M., Gaulke, A., Skipper, N. & Svensson, J. (2022). Association of type 1 diabetes and educational achievement in 16–20-year-olds: A Danish nationwide register study. Diabetic Medicine, 39(2), [e14673]. https://doi.org/10.1111/dme.14673

Macedoni, L. (2022). Asymmetric Information, Quality, and Regulations. Review of International Economics, 30(4), 1180-1198. https://doi.org/10.1111/roie.12599

Micai, M., Fulceri, F., Salvitti, T., Romano, G., Poustka, L., Diehm, R., Iskrov, G., Stefanov, R., Guillon, Q., Rogé, B., Staines, A., Sweeney, M. R., Boilson, A. M., Leósdóttir, T., Saemundsen, E., Moilanen, I., Ebeling, H., Yliherva, A., Gissler, M. ... Scattoni, M. L. (2022). Autistic Adult Services Availability, Preferences, and User Experiences: Results From the Autism Spectrum Disorder in the European Union Survey. Frontiers in Psychiatry, 13, 919234. https://doi.org/10.3389/fpsyt.2022.919234

Buonaguidi, B., Mira, A., Bucheli, H. & Vitanis, V. (2022). Bayesian Quickest Detection of Credit Card Fraud. Bayesian Analysis, 17(1), 261-290. https://doi.org/10.1214/20-BA1254

Nielsen, O. L. & Posselt, A. M. (2022). Betting on mean reversion in the VIX? Evidence from ETP flows. Aarhus Universitet. CREATES Research Paper No. 2022-06

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

Cavaliere, G., Gonçalves, S. & Nielsen, M. Ø. (2022). Bootstrap Inference in the Presence of Bias. ArXiv. http://arxiv.org/pdf/2208.02028

Damm, A. P., Hassani, A., Tranæs, T., Schultz-Nielsen, M. L. & Jakobsen, V. (2022). Bosætning i Danmark – i et 35-årigt perspektiv. Syddansk Universitetsforlag. University of Southern Denmark Studies in History and Social Sciences Vol. 633 https://www.rockwoolfonden.dk/publikationer/bosaetning-i-danmark/

Forget, N., Gadegaard, S. L., Klamroth, K., Nielsen, L. R. & Przybylski, A. (2022). Branch-and-bound and objective branching with three or more objectives. Computers and Operations Research, 148, [106012]. https://doi.org/10.1016/j.cor.2022.106012

Jacobsen, L. & Tudoran, A. A. (2022). Can Company Image Explain The Influence of Perceived Innovativeness and Target Group Similarity on Consumers' Willingness to Co-Create with Companies? A multi-level analysis. Abstract from European Marketing Academy Conference, Budapest, Hungary.

Marks, K. P., Birkebæk, N., Pouwer, F., Ibfelt, E. H., Thastum, M. & Jensen, M. B. (2022). Caregiver-report Adherence in Diabetes Questionnaire is predictive of 10-year HbA1c trajectories in children and adolescents with type 1 diabetes: A population-based study. Diabetologia, 65(Suppl 1 ), S89. [170]. https://doi.org/10.1007/s00125-022-05755-w

Skipper, N., Thingholm, P. R., Borch, L., Gaulke, A., Eriksen, T. L. M., Søndergaard, C. & Svensson, J. (2022). Center differences in diabetes treatment outcomes among children with type 1 diabetes: A nationwide study of 3866 Danish children. Pediatric Diabetes, 23(1), 73-83. https://doi.org/10.1111/pedi.13284

Andersen, C. B., Houmark, M. A., Nielsen, H. S. & Svarer, M. (2022). Children in the Aftermath of the Great Recession. Nationaløkonomisk Tidsskrift - Danish Journal of Economics, 2022(1), 1-28. https://www.djoef-forlag.dk/publications/noet/files/2022/article/Artikel_3.pdf

Lomholt, J. J., Nielsen Arendt, J., Bolvig, I. & Thastum, M. (2022). Children with School Absenteeism: Comparing Risk Factors Individually and in Domains. Scandinavian Journal of Educational Research, 66(3), 411-426. https://doi.org/10.1080/00313831.2020.1869085

Mackinnon, J. G., Webb, M. D. & Nielsen, M. Ø. (2022). Cluster-Robust Inference: A Guide to Empirical Practice. Aarhus Universitet. CREATES Research Paper No. 2022-08

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Revised 02.01.2023

Birgitte Højklint Nielsen