Publications

Buccioli, A., Kokholm, T. & Nicolosi, M. (2019). Expected Shortfall and Portfolio Management in Contagious Markets. Journal of Banking & Finance, 102(May), 100-115. https://doi.org/10.1016/j.jbankfin.2019.03.003

Andreasen, M. M. (2019). Explaining Bond Return Predictability in an Estimated New Keynesian Model. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers, No. 2019-11

Essen, E. V., Huysentruyt, M. & Miettinen, T. (2019). Exploration in Teams and the Encouragement Effect: Theory and Evidence. Institut for Økonomi, Aarhus Universitet. Economics Working Papers, No. 2019-10

Plana-Ripoll, O., Pedersen, C. B., Holtz, Y., Benros, M. E., Dalsgaard, S., de Jonge, P., Fan, C. C., Degenhardt, L., Ganna, A., Greve, A. N., Gunn, J., Iburg, K. M., Kessing, L. V., Lee, B. K., Lim, C. C. W., Mors, O., Nordentoft, M., Prior, A., Roest, A. M. ... McGrath, J. J. (2019). Exploring Comorbidity Within Mental Disorders Among a Danish National Population. J A M A Psychiatry, 76(3), 259-270. https://doi.org/10.1001/jamapsychiatry.2018.3658

Kruse, R. & Wegener, C. (2019). Explosive behaviour and long memory with an application to European bond yield spreads. Scottish Journal of Political Economy, 66(1), 139-153. https://doi.org/10.1111/sjpe.12179

Schullehner, J., Thygesen, M., Kristiansen, S. M., Pedersen, C. B. & Dalsgaard, S. (2019). Exposure to manganese in drinking water during childhood and association with ADHD - A nationwide cohort study.. Abstract from ISEE conference, Utrecht, Netherlands.

Hansen, M. R. H., Jørs, E., Sandbæk, A., Kolstad, H. A., Schullehner, J. & Schlünssen, V. (2019). Exposure to neuroactive non-organochlorine insecticides, and diabetes mellitus and related metabolic disturbances: Protocol for a systematic review and meta-analysis. Environment International, 127, 664-670. https://doi.org/10.1016/j.envint.2019.02.074

Christoffersen, P., Lunde, A. & Olesen, K. V. (2019). Factor structure in commodity futures return and volatility. Journal of Financial and Quantitative Analysis, 54(3), 1083-1115. https://doi.org/10.1017/S0022109018000765

Nørskov, S., Damholdt, M. F., Ulhøi, J. P., Jensen, M. B., Mathiasen, M. K., Ess, C. M. & Seibt, J. (2019). Fairness perceptions in job interviews: Using a teleoperated robot as a fair proxy. Paper presented at 35th European Group for Organizational Studies (EGOS) Colloquium, Edinburgh, United Kingdom.

Simonsen, M. & Trillingsgaard, T. (2019). Familieiværksætterne: en indledende analyse. Aarhus Universitet.

Xie, S., Karlsson, H., Dalman, C., Widman, L., Rai, D., Gardner, R. M., Magnusson, C., Schendel, D. E., Newschaffer, C. J. & Lee, B. K. (2019). Family History of Mental and Neurological Disorders and Risk of Autism. JAMA network open, 2(3), [190154]. https://doi.org/10.1001/jamanetworkopen.2019.0154

Laursen, L. L., Madsen, K. B., Obel, C. & Hohwü, L. (2019). Family dissolution and children's social well-being at school: A historic cohort study. B M C Pediatrics, 19(1), [449]. https://doi.org/10.1186/s12887-019-1821-z

Roodman, G. D., MacKinnon, J. G., Nielsen, M. Ø. & Webb, M. D. (2019). Fast and wild: Bootstrap inference in Stata using boottest. Stata Journal, 19, 4-60.

Kjærgaard, S., Ergemen, Y. E., Kallestrup-Lamb, M., Oeppen, J. & Lindahl-Jacobsen, R. (2019). Forecasting Causes of Death using Compositional Data Analysis: the Case of Cancer Deaths. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers, No. 2019-07

Catania, L., Grassi, S. & Ravazzolo, F. (2019). Forecasting Cryptocurrencies Under Model and Parameter Instability. International Journal of Forecasting, 35(2), 485-501. https://doi.org/10.1016/j.ijforecast.2018.09.005

Kjærgaard, S., Ergemen, Y. E., Kallestrup-Lamb, M., Oeppen, J. & Lindahl-Jacobsen, R. (2019). Forecasting causes of death by using compositional data analysis: the case of cancer deaths. Journal of the Royal Statistical Society, Series C (Applied Statistics), 68(5), 1351-1370. https://doi.org/10.1111/rssc.12357

Gorgi, P., Koopman, S. J. & Li, M. (2019). Forecasting economic time series using score-driven dynamic models with mixed-data sampling. International Journal of Forecasting, 35(4), 1735-1747. https://doi.org/10.1016/j.ijforecast.2018.11.005

Koopman, S. J. & Lit, R. (2019). Forecasting football match results in national league competitions using score-driven time series models. International Journal of Forecasting, 35(2), 797-809. https://doi.org/10.1016/j.ijforecast.2018.10.011

Koch, M. & Smolka, M. (2019). Foreign Ownership and Skill-biased Technological Change. Journal of International Economics, 118(May), 84-104. https://doi.org/10.1016/j.jinteco.2019.01.017

Bukh, P. N. & Christensen, K. S. (2019). Fremtidens økonomistyring er effektbaseret. Administrativ Debat, (januar), 23-26.

Madsen, E. S. (2019). From Local to Global Competitors on the Beer Market. (pp. 1-20). Institut for Økonomi, Aarhus Universitet. Economics Working Papers, No. 2019-11

Leong, W. R. (2019). GARCH(1,1) at small sample size and pairs trading with cointegration. Institut for Økonomi, Aarhus Universitet. ECON PhD Dissertations, No. 2019-1

Mullins, N., Bigdeli, T. B., Børglum, A. D., Coleman, J. R. I., Demontis, D., Mehta, D., Power, R. A., Ripke, S., Stahl, E. A., Starnawska, A., Anjorin, A., Corvin, A., Sanders, A. R., Forstner, A. J., Reif, A., Koller, A. C., Tkowska, B. S., Baune, B. T., Müller-Myhsok, B. ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium (2019). GWAS of suicide attempt in psychiatric disorders and association with major depression polygenic risk scores. American Journal of Psychiatry, 176(8), 651-660. https://doi.org/10.1176/appi.ajp.2019.18080957

Paramo Florencio, A. (2019). Gender Equality and Economic Development. Institut for Økonomi, Aarhus Universitet. ECON PhD Dissertations, No. 2019-20

Boschini, A., Dreber, A., von Essen, E., Muren, A. & Ranehill, E. (2019). Gender, risk preferences and willingness to compete in a random sample of the Swedish population^✰. Journal of Behavioral and Experimental Economics, 83, [101467]. https://doi.org/10.1016/j.socec.2019.101467

Huckins, L. M., Dobbyn, A., Ruderfer, D. M., Hoffman, G., Wang, W., Pardiñas, A. F., Rajagopal, V. M., Als, T. D., T Nguyen, H., Girdhar, K., Boocock, J., Roussos, P., Fromer, M., Kramer, R., Domenici, E., Gamazon, E. R., Purcell, S., Demontis, D., Børglum, A. D. ... iPSYCH-GEMS Schizophrenia Working Group (2019). Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature Genetics, 51(4), 659-674. https://doi.org/10.1038/s41588-019-0364-4

Fentz, H. N., Simonsen, M. & Trillingsgaard, T. (2019). General, interpersonal, and gender role specific risk factors of postpartum depressive symptoms in fathers. Journal of Social and Clinical Psychology, 38(7), 545-567. https://doi.org/10.1521/jscp.2019.38.7.545

Catania, L., Ardia, D. & Boudt, K. (2019). Generalized Autoregressive Score Models in R: The GAS Package. Journal of Statistical Software, 88(6). https://doi.org/10.18637/jss.v088.i06

Proietti, T. & Luati, A. (2019). Generalized linear cepstral models for the spectrum of a time series. Statistica Sinica, 29(3), 1561-1583. https://doi.org/10.5705/ss.202017.0322

Wulff, J. (2019). Generalized two-part fractional regression with cmp. Stata Journal, 19(2), 375–389. https://doi.org/10.1177/1536867X19854017

Drange, O. K., Smeland, O. B., Shadrin, A. A., Finseth, P. I., Witoelar, A., Frei, O., Psychiat Genomics Consortium Bipol, Wang, Y., Hassani, S., Djurovic, S., Dale, A. M. & Andreassen, O. A. (2019). Genetic Overlap Between Alzheimer's Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes. Frontiers in Neuroscience, 13, [220]. https://doi.org/10.3389/fnins.2019.00220

Meier, S. M., Trontti, K., Purves, K. L., Als, T. D., Grove, J., Laine, M., Pedersen, M. G., Bybjerg-Grauholm, J., Bækved-Hansen, M., Sokolowska, E., Mortensen, P. B., Hougaard, D. M., Werge, T., Nordentoft, M., Breen, G., Børglum, A. D., Eley, T. C., Hovatta, I., Mattheisen, M. & Mors, O. (2019). Genetic Variants Associated With Anxiety and Stress-Related Disorders: A Genome-Wide Association Study and Mouse-Model Study. J A M A Psychiatry, 76(9), 924-932. https://doi.org/10.1001/jamapsychiatry.2019.1119

Hübel, C., Gaspar, H. A., Coleman, J. R. I., Hanscombe, K. B., Purves, K., Prokopenko, I., Graff, M., Ngwa, J. S., Workalemahu, T., O’Reilly, P. F., Bulik, C. M., Breen, G., ADHD Working Group of the Psychiatric Genomics Consortium, Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Autism Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, OCD & Tourette Syndrome Working Group of the Psychiatric Genomics Consortium ... International Headache Genetics Consortium (2019). Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. Nature Communications, 10(1), [5765]. https://doi.org/10.1038/s41467-019-13544-0

Bauer, A. E., Liu, X., Byrne, E. M., Sullivan, P. F., Wray, N. R., Agerbo, E., Nyegaard, M., Grove, J., Musliner, K. L., Ingstrup, K. G., Johannsen, B. M. W., Mægbæk, M. L., Wang, Y., Nordentoft, M., Mors, O., Børglum, A. D., Werge, T., Hougaard, D. M., Mortensen, P. B. ... Meltzer-Brody, S. (2019). Genetic risk scores for major psychiatric disorders and the risk of postpartum psychiatric disorders. Translational Psychiatry, 9(1), 288. https://doi.org/10.1038/s41398-019-0629-9

Stahl, E. A., Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., Mattheisen, M., Wang, Y., Coleman, J. R. I., Gaspar, H. A., de Leeuw, C. A., Steinberg, S., Pavlides, J. M. W., Trzaskowski, M., Byrne, E. M., Pers, T. H., Holmans, P. A., Richards, A. L., Abbott, L. ... eQTLGen Consortium (2019). Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51(5), 793-803. https://doi.org/10.1038/s41588-019-0397-8

Demontis, D., Rajagopal, V. M., Thorgeirsson, T. E., Als, T. D., Grove, J., Leppälä, K., Gudbjartsson, D. F., Pallesen, J., Hjorthøj, C., Reginsson, G. W., Tyrfingsson, T., Runarsdottir, V., Qvist, P., Christensen, J. H., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Huckins, L. M., Stahl, E. A., Timmermann, A. ... Børglum, A. D. (2019). Genome-wide association study implicates CHRNA2 in cannabis use disorder. Nature Neuroscience, 22, 1066-1074. https://doi.org/10.1038/s41593-019-0416-1

Howard, D. M., Adams, M. J., Clarke, T-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., Alloza, C., Shen, X., Barbu, M. C., Xu, E. Y., Whalley, H. C., Marioni, R. E., Porteous, D. J., Davies, G., Deary, I. J. ... 23andMe Research Team (2019). Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience, 22(3), 343-352. https://doi.org/10.1038/s41593-018-0326-7

Cross-Disorder Group of the Psychiatric Genomics Consortium (2019). Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders. Cell, 179(7), 1469-1482.e11. https://doi.org/10.1016/j.cell.2019.11.020

Hübel, C., Gaspar, H. A., Coleman, J. R. I., Finucane, H., Purves, K. L., Hanscombe, K. B., Prokopenko, I., Graff, M., Ngwa, J. S., Workalemahu, T., O'Reilly, P. F., Bulik, C. M., Breen, G., Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Tourette Syndrome/Obsessive-Compulsive Disorder Working Group of the Psychiatric Genomics Consortium, MAGIC Investigators, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Mattheisen, M. ... Mortensen, P. B. (2019). Genomics of body fat percentage may contribute to sex bias in anorexia nervosa. American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, 180(6), 428-438. https://doi.org/10.1002/ajmg.b.32709

Jensen-Dahm, C., Kbstrup Zakarias, J., Gasse, C. & Waldemar, G. (2019). Geographical Variation in Opioid Use in Elderly Patients with Dementia: A Nationwide Study. Journal of Alzheimer's Disease, 70(4), 1209-1216. https://doi.org/10.3233/JAD-190413

Zakarias, J. K., Jensen-Dahm, C., Nørgaard, A., Roos, P., Gasse, C., Phung, T. K. T. & Waldemar, G. (2019). Geographical Variation in the Diagnostic Rate and Quality of Dementia Diagnoses. Journal of Alzheimer's Disease, 69(2), 513-520. https://doi.org/10.3233/JAD-190030

GBD 2016 Neurology Collaborators (2019). Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology, 18(5), 459-480. https://doi.org/10.1016/S1474-4422(18)30499-X

Naghavi, M. & Global Burden of Disease Self-Harm Collaborators (2019). Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the Global Burden of Disease Study 2016. B M J, 364, [l94]. https://doi.org/10.1136/bmj.l94

Andersen, T. M., Lynge, U., Møller Christensen, A., Blaabjerg, A., Bjerregaard, S., Helliesen, I., Armstrong, C. & Christiansen, N. (2019). Grønlands Økonomi 2019. Grønlands Økonomiske Råd.

Andersen, T. M. (2019). Grønlands økonomiske situation: fremskridt og udfordringer. Administrativ Debat, 2019(1), 19-22. https://www.djoef.dk/-/media/documents/djoef/a/administrativdebat_01_2019_djøf.ashx

Mitchell, B. L., Zhu, G., Medland, S. E., Renteria, M. E., Eyles, D. W., Grasby, K. L., McGrath, J. J. & Martin, N. G. (2019). Half the Genetic Variance in Vitamin D Concentration is Shared with Skin Colour and Sun Exposure Genes. Behavior Genetics, 49(4), 386-398. https://doi.org/10.1007/s10519-019-09954-x

Damgaard, C. F., Nygaard, B., Ejrnæs, R., Bruus, M., Strandberg, B., Strandberg, M. T., Timmermann, A. & Ehlers, B. (2019). Has the frequency of invasive higher plants stabilized? Results from a long-term monitoring program of Danish habitats. Applied Vegetation Science, 22(2), 292–299. https://doi.org/10.1111/avsc.12429

Dilling-Hansen, M. (2019). Hawthorne eller Tinto? En analyse af førsteårsfrafaldet ved de erhvervsøkonomiske bacheloruddannelser. In P. L. (Ed.), Symposium i Anvendt Statistik (2019 ed., pp. 268-281). Det Nationale Forskningscenter for Arbejdsmiljø.

Vilhjálmsson, B. J. & Privé, F. F. (2019). Headaches and polygenic scores. Neurology: Genetics, 5(6), e364. https://doi.org/10.1212/NXG.0000000000000368, https://doi.org/10.1212/NXG.0000000000000368

Borup, L. J., Weye, N. Ø., Jensen, V. & Fonager, K. (2019). Healthcare use before and after changing disability pension policy: a regional Danish cohort study. European Journal of Public Health, 29(6), 1068-1073. https://doi.org/10.1093/eurpub/ckz107

Displaying results 251 to 300 out of 9352

Comments on content:

Birgitte Højklint Nielsen

Revised 29.01.2020