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Department of Economics and Business Economics

Publications

Zhang, B., Dai, W. & Weder, M. (2020). A Bayesian evaluation of an efficiency-wage model with indeterminacy. Applied Economics, 52(19), 2044-2055. https://doi.org/10.1080/00036846.2019.1682115

Gissel, S. T. & Andersen, S. C. (2021). A Cluster-Randomized Trial Measuring the Effects of a Digital Learning Tool Supporting Decoding and Reading for Meaning in Grade 2. Journal of Computer Assisted Learning, 37(2), 287-304. https://doi.org/10.1111/jcal.12488

Herly, M., Bartholdy, J. & Thinggaard, F. (2020). A Re-examination of Accruals Quality Following Restatements. Journal of Business Finance & Accounting, 47(7-8), 882-909. https://doi.org/10.1111/jbfa.12445

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

Racine, J. S. & Van Keilegom, I. (2020). A Smooth Nonparametric, Multivariate, Mixed-Data Location-Scale Test. Journal of Business and Economic Statistics, 38(4), 784-795. https://doi.org/10.1080/07350015.2019.1574227

Andersen, S. C., Gensowski, M., Ludeke, S. & John, O. P. (2020). A Stable Relationship Between Personality and Academic Performance from Childhood through Adolescence: An original study and replication in hundred-thousand-person samples. Journal of Personality, 88(5), 925-939. https://doi.org/10.1111/jopy.12538

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

Ma, Q., Li, H. & Thorstenson, A. (2021). A big data-driven root cause analysis system: Application of Machine Learning in quality problem solving. Computers and Industrial Engineering, 160, [107580]. https://doi.org/10.1016/j.cie.2021.107580

Bentzen, J. & Tùng, L. T. (2021). A causality test between income, inequality and poverty – empirical evidence from South-East Asia. Applied Economics Letters, 28(19), 1682-1685. https://doi.org/10.1080/13504851.2020.1851642

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

Nonejad, N. (2020). A detailed look at crude oil price volatility prediction using macroeconomic variables. Journal of Forecasting, 39(7), 1119-1141. https://doi.org/10.1002/for.2679

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

Gundlach, E. & Paldam, M. (2020). A hump-shaped transitional growth path as a general pattern of long-run development. Economic Systems, 44(3), [10825]. https://doi.org/10.1016/j.ecosys.2020.100809

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

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

Lysgaard, J., López Sánchez, A. D. & Hernández-Díaz, A. G. (2020). A matheuristic for the MinMax capacitated open vehicle routing problem. International Transactions in Operational Research, 27(1), 394-417. https://doi.org/10.1111/itor.12581

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

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

Bork, L., Møller, S. V. & Pedersen, T. Q. (2020). A new index of housing sentiment. Management Science, 66(4), 1563-1583. https://doi.org/10.1287/mnsc.2018.3258

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

Fatas, E., Nosenzo, D., Sefton, M. & Zizzo, D. J. (2021). A self-funding reward mechanism for tax compliance. Journal of Economic Psychology, 86, [102421]. https://doi.org/10.1016/j.joep.2021.102421

Bennedsen, M., Hillebrand, E. & Koopman, S. J. (2020). A statistical model of the global carbon budget. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2020-18

Paldam, M. (2020). A study of triggering events: when do political regimes change? Public Choice, 182(1-2), 181-199. https://doi.org/10.1007/s11127-019-00678-4

Gadegaard, S. L. & Lysgaard, J. (2021). A symmetry-free polynomial formulation of the capacitated vehicle routing problem. Discrete Applied Mathematics, 296, 179-192. https://doi.org/10.1016/j.dam.2020.02.012

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

Caspersen, S. & Andersen, C. B. (2021, Jan 23). Aarhus har landets højeste andel forældrekøb. https://www.ae.dk/sites/www.ae.dk/files/dokumenter/analyse/ae_aarhus-har-landets-hoejeste-andel-foraeldrekoeb_0.pdf

Steinberg, J. R., Laursen, T. M., Adler, N. E. & Munk-Olsen, T. (2020). Abortion and suicide attempt – Authors' reply. The Lancet Psychiatry, 7(3), [237]. https://doi.org/10.1016/S2215-0366(20)30031-6

Bitzer, J., Gören, E. & Kruse-Becher, S. (2021). Absorption of foreign knowledge: the impact of immigrants on firm productivity. Industrial and Corporate Change, 30(3), 706-739. [dtaa047]. https://doi.org/10.1093/icc/dtaa047

Damm, A. P., Mattana, E., Nielsen, H. S. & Rouland, B. (2021). Academic achievement and wellbeing of dual language learners: Evidence from a busing program. Journal of Urban Economics, 126, [103358]. https://doi.org/10.1016/j.jue.2021.103358

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

Gensowski, M., Ludeke, S., John, O. P. & Andersen, S. C. (2021). Academic self perceptions in a national Danish sample: Predictive power and development from grade 4 to 9. Journal of Research in Personality, 92, [104090]. https://doi.org/10.1016/j.jrp.2021.104090

Altmann, S., Milsom, L., Zillessen, H., Blasone, R., Gerdon, F., Bach, R., Kreuter, F., Nosenzo, D., Toussaert, S. & Abeler, J. (2020). Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study. JMIR mHealth and uHealth, 8(8), [e19857]. https://doi.org/10.2196/19857

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

Cavaliere, G., Nielsen, M. Ø. & Taylor, R. (2020). Adaptive Inference in Heteroskedastic Fractional Time Series Models. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2020-08

Johansen, S. & Swensen, A. R. (2021). Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2021-10

Hobson, E., Mønster, D. & DeDeo, S. (2021). Aggression heuristics underlie animal dominance hierarchies and provide evidence of group-level social information. PNAS (Proceedings of the National Academy of Sciences of the United States of America), 118(10), [e2022912118]. https://doi.org/10.1073/pnas.2022912118

Rodríguez-Caballero, C. V. & Vera-Valdés, J. E. (2020). Air pollution and mobility in the Mexico City Metropolitan Area, what drives the COVID-19 death toll? Institut for Økonomi, Aarhus Universitet. CREATES Research Papers No. 2020-15

Rodríguez-Caballero, C. V. & Vera-Valdés, J. E. (2021). Air pollution and mobility, what carries covid-19? Econometrics, 9(4), [37]. https://doi.org/10.3390/econometrics9040037

Rosholm, M., Toft, S. D., Villumsen, A. M., Bodilsen, S. T. & Yde Nirmalarajan, L. (2021). Algoritmer og machine learning i socialt arbejde? Social Kritik:Tidsskrift for social analyse & debat, 163(2). https://socialkritik.dk/163-2021-2/

Larsen, C. (2021). Alignment between an ABC classification and results from an optimization approach. INFOR: Information Systems and Operational Research, 59(3), 400-410. https://doi.org/10.1080/03155986.2021.1907073

Jiang, D. & Weder, M. (2021). American Business Cycles 1889-1913: An Accounting Approach. Institut for Økonomi, Aarhus Universitet. Economics Working Papers No. 2021-02

Jiang, D. & Weder, M. (2021). American business cycles 1889–1913: An accounting approach. Journal of Macroeconomics, 67, [103285]. https://doi.org/10.1016/j.jmacro.2020.103285

Hvidman, C., Koch, A. K., Nafziger, J., Nielsen, S. A. & Rosholm, M. (2020). An Intensive, School-Based Learning Camp Targeting Academic and Non-Cognitive Skills Evaluated in a Randomized Trial. IZA Institute of Labor Economics. Discussion Paper Series No. 13771 http://ftp.iza.org/dp13771.pdf

Vierø, M. L. (2021). An intertemporal model of growing awareness. Journal of Economic Theory, 197, [105351]. https://doi.org/10.1016/j.jet.2021.105351

Wøhlk, S. (2020). Analyse af transport of containere fra genbrugspladser. Institut for Økonomi, Aarhus Universitet.

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

Andersen, T. M. & Gestsson, M. H. (2021). Annuitization and aggregate mortality risk. Journal of Risk and Insurance, 88(1), 79-99. https://doi.org/10.1111/jori.12313

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Revised 02.01.2023

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Birgitte Højklint Nielsen