Ausgewählte Publikationen
<p><strong>Peer-reviewed</strong></p><p>&nbsp;<br></p><p>Zinn, Sabine &amp; Würbach, Ariane &amp; Steinhauer, Hans W. &amp; Hammon,&nbsp;Angelina (2020):&nbsp;<em>Attrition and Selectivity of the NEPS Starting Cohorts: An Overview of the Past 8 Years</em>, AStA Wirtschafts- und Sozialstatistisches Archiv, <a href="https://www.springerprofessional.de/attrition-and-selectivity-of-the-nepsstarting- cohorts-an-overvi/17665568" data-mce-href="https://www.springerprofessional.de/attrition-and-selectivity-of-the-nepsstarting- cohorts-an-overvi/17665568">https://www.springerprofessional.de/attrition-and-selectivity-of-the-nepsstarting- cohorts-an-overvi/17665568</a>.</p><p>&nbsp;<br></p><p>Aßmann, Christian &amp; Steinhauer, Hans W. &amp; Würbach, Ariane &amp; Zinn, Sabine &amp; Hammon, Angelina &amp; Kiesl, Hans &amp; Rohwer, Götz &amp; Rässler, Susanne &amp; Blossfeld, Hans-Peter (2018):&nbsp;<em>Sampling Designs of the National Educational Panel Study: Setup and Panel Development, </em>in: H.-P. Blossfeld and H.-G. Roßbach (eds.),<em> Education as a Lifelong Process,&nbsp;</em>Edition ZfE(3), pp. 35-55, <a href="https://doi.org/10.1007/978-3-658-23162-0" data-mce-href="https://doi.org/10.1007/978-3-658-23162-0">https://doi.org/10.1007/978-3-658-23162-0</a>.</p><p><br>Aßmann, Christian &amp; Würbach, Ariane &amp; Goßmann, Solange &amp; Geissler, Ferdinand &amp; Bela, Annika (2017):&nbsp;<em>Nonparametric multiple imputation for questionnaires with individual skip patterns and constraints: The case of income imputation in the National Educational Panel Study</em>,&nbsp;Sociological Methods and Research, 46(4), pp. 864-897, <a href="https://doi.org/10.1177/0049124115610346" data-mce-href="https://doi.org/10.1177/0049124115610346">https://doi.org/10.1177/0049124115610346</a>.</p><p>&nbsp;<br></p><p>Zinn, Sabine &amp; Würbach, Ariane (2016):&nbsp;<em>A Statistical Approach to Address the Problem of Heaping in Self-Reported Income Data</em>, Journal of Applied Statistics, 43(4), pp. 682-703, <a href="https://doi.org/10.1080/02664763.2015.1077372" data-mce-href="https://doi.org/10.1080/02664763.2015.1077372">https://doi.org/10.1080/02664763.2015.1077372</a>.</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Zellner, Konrad &amp; Kromeyer-Hauschild, Kathrin (2009):&nbsp;<em>Meal patterns among children and adolescents and their associations with weight status and parental characteristics</em>, Public Health Nutrition, 12(8), pp. 1115-1121, <a href="https://doi.org/10.1017/s1368980009004996" data-mce-href="https://doi.org/10.1017/s1368980009004996">https://doi.org/10.1017/s1368980009004996</a>.&nbsp;</p><p>&nbsp;<br></p><p><strong>Sonstige/ Other</strong></p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Landrock, Uta &amp; Schnapp, Thorsten &amp; Ziesmer, Johannes &amp; Bergrab, Michael (2021): <em>NEPS Technical Report For Weighting - The Additional Corona Survey Of The National Educational Panel Study</em>, NEPS <em>Survey Paper </em>No. 89, <a href="https://doi.org/10.5157/NEPS:SP89:1.0" target="_blank" data-mce-href="https://doi.org/10.5157/NEPS:SP89:1.0">https://doi.org/10.5157/NEPS:SP89:1.0</a><span>.</span></p><p>&nbsp;<br></p><p>Würbach, Ariane (2018):&nbsp;<em>Application of Multiple-Block MCMC to a Mixture Distribution with Multi-Modal Likelihood</em>, Proceedings of the 7<sup>th</sup>&nbsp;Annual International Conference on Computational Mathematics,&nbsp;Computational Geometry &amp; Statistics, Eds. Global Science and Technology Forum (GSTF), pp. 44-53.<br></p><p>&nbsp;<br></p><p>Würbach, Ariane (2016):&nbsp;<em>Modeling and estimating income data in the presence of distinctive zero and heaped responses</em>, Dissertation, Otto-Friedrich-Universität Bamberg, Chair of Statistics and Econometrics.&nbsp;</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Zinn, Sabine (2015): <em>Estimation of a general heaping model via random-walk Metropolis algorithms</em>, Proceedings of the 30<sup>th</sup>&nbsp;International Workshop on Statistical Modeling, Vol. 1, Eds. Friedl, Herwig &amp; Wagner, Helga, pp. 392-397.</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Hammon, Angelina &amp; Geissler, Ferdinand &amp; Solange Goßmann (2014):&nbsp;<em>Data Documentation. </em><em>Imputed Data File of Starting Cohort 6</em>,&nbsp;Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study.</p><p>&nbsp;<br></p><p>Zinn, Sabine &amp; Würbach, Ariane (2014):&nbsp;<em>A statistical approach to account for heaping patterns: An application to self-reported income data</em>, NEPS Working Paper No. 40, Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study.</p><p>&nbsp;<br></p><p>Aßmann, Christian &amp; Würbach, Ariane &amp; Goßmann, Solange &amp; Geissler, Ferdinand &amp; Biedermann, Anika (2014):&nbsp;<em>A nonparametric multiple imputation approach for multilevel filtered questionnaires</em>, NEPS Working Paper No. 36, Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study.</p><p>&nbsp;<br></p>
Ausgewählte Präsentationen
<p>Würbach, Ariane (2019):&nbsp;<em>Using Paradata for Longitudinal Prediction of Participation Status: An Example of the NEPS Newborn Cohort</em>, oral presentation, 8<sup>th</sup>&nbsp;Conference of the European Survey Research Association (ESRA), University of Zagreb (Croatia).</p><p><br data-mce-bogus="1"></p><p>Würbach, Ariane (2018):&nbsp;<em>Application of Multiple-Block MCMC to a Mixture Distribution with Multi-Modal Likelihood</em>, oral presentation, 7<sup>th</sup>&nbsp;Annual International Conference on Computational Mathematics,&nbsp;Computational Geometry &amp; Statistics (CMCGS),&nbsp; Global Science and Technology Forum (GSTF), Singapore.</p><p>&nbsp;<br></p><p>Würbach, Ariane (2017):&nbsp;<em>Heaping in self-reported&nbsp;income data - a kind of weak satisficing</em>, oral presentation, 7<sup>th</sup>&nbsp;Conference of the European Survey Research Association (ESRA), University of&nbsp;Lisboa (Portugal).</p><p>&nbsp;<br></p><p>Würbach, Ariane (2016): <em>Modeling and estimating income data in the presence of distinctive zero and heaped responses</em>, Vortrag, Quantitativ Ökonomisches Colloquium (QÖC), Freie Universität Berlin, Fachbereich Volkswirtschaftslehre, Forschungsschwerpunkt Statistik und Ökonometrie.</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Zinn, Sabine (2015): <em>Bayesian estimation of a general heaping model via different (adaptive) random-walk Metropolis specifications</em>, invited talk, 4<sup>th</sup> Baltic-Nordic Conference on Survey Statistics (BaNoCoSS), Helsinki (Finland).</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Zinn, Sabine (2015): <em>A general heaping model - Estimation via random-walk Metropolis algorithms</em>, oral presentation, 30<sup>th</sup> International Workshop on Statistical Modeling (IWSM), Linz (Austria).</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Zinn, Sabine (2014):&nbsp;<em>Account for heaping patterns in income data: A general approach</em>, Vortrag, 8. Workshop der Panelsurveys in Deutschland, Bielefeld.</p><p>&nbsp;<br></p><p>Würbach, Ariane &amp; Zinn, Sabine (2013):&nbsp;<em>Modeling and estimation of rounding</em>, oral presentation, 5<sup>th</sup> Conference of the European Survey Research Association (ESRA), University of Ljubljana (Slovenia).<br></p><p>&nbsp;<br></p>