Herwartz, Helmut

[["dc.bibliographiccitation.journal","Economics & Politics"],["dc.contributor.affiliation","Esteve‐González, Patricia; 1Department of Computer Science University of Oxford Oxford UK"],["dc.contributor.affiliation","Theilen, Bernd; 3Departament d'Economia and ECO‐SOS Universitat Rovira i Virgili Tarragona Spain"],["dc.contributor.author","Esteve‐González, Patricia"],["dc.contributor.author","Herwartz, Helmut"],["dc.contributor.author","Theilen, Bernd"],["dc.date.accessioned","2021-04-14T08:23:59Z"],["dc.date.available","2021-04-14T08:23:59Z"],["dc.date.issued","2020"],["dc.date.updated","2022-02-09T13:21:32Z"],["dc.description.abstract","Abstract We analyze in how far market perceptions of actual financial integration affect EU integration support at the country level. As indicators of realized states of integration in financial markets we rely upon yield differentials of long‐term government debt. To identify particular situations that could undermine the integration process, we suggest a new measure of EU integration risks that fulfills a number of properties which are desirable to ensure its informational value. Our results indicate that tensions to finance public debt in integrated financial markets are the main contributor to weakened support for EU integration. Particularly, large yield spreads increase the polarization on this issue at the country level. Moreover, as a confirmation of a‐priori expectations, we find that the national support for EU integration sees a fostering in times of economic upswing and under beneficial structural EU funding. These results indicate that it becomes crucial to monitor increasing international yield differences as they could prepare the ground for claims for EU disintegration policies, thereby, threatening future advances of the EU integration project."],["dc.description.sponsorship","Ministerio de Ciencia e Innovación/ European Regional Development Fund"],["dc.description.sponsorship","Generalitat de Catalunya/ Universitat Rovira i Virgili"],["dc.identifier.doi","10.1111/ecpo.12166"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81121"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1468-0343"],["dc.relation.issn","0954-1985"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.title","National support for the European integration project: Does financial integration matter?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","jems.12491"],["dc.bibliographiccitation.firstpage","942"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Economics & Management Strategy"],["dc.bibliographiccitation.lastpage","960"],["dc.bibliographiccitation.volume","31"],["dc.contributor.affiliation","Herwartz, Helmut; 2\r\nChair of Statistics and Econometrics\r\nUniversity of Göttingen\r\nGöttingen Germany"],["dc.contributor.author","Haschka, Rouven E."],["dc.contributor.author","Herwartz, Helmut"],["dc.date.accessioned","2022-11-28T09:41:10Z"],["dc.date.available","2022-11-28T09:41:10Z"],["dc.date.issued","2022-06-27"],["dc.date.updated","2022-11-27T10:11:08Z"],["dc.description.abstract","Abstract\r\nThis study provides an assessment of the R&D–patent relation of European pharmaceutical firms that are not flawed by endogeneity biases. Firms invest in R&D and generate latent knowledge which then manifests in observable patent outcomes through a Poisson model. The process of turning R&D into knowledge is described by a production process subject to inefficiency and endogeneity. To estimate a Poisson stochastic frontier model, the suggested novel copula‐based approach directly accounts for the dependence between the endogenous regressors and the inefficiency component. Hence, its implementation does not require any instrumental variables. Simulation results underline that the proposed estimator outperforms conventional instrumental variable estimators. Neglecting endogeneity leads to a substantial underestimation of the R&D elasticity of patents generated in the European pharmaceutical industry."],["dc.identifier.doi","10.1111/jems.12491"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/117301"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.eissn","1530-9134"],["dc.relation.issn","1058-6407"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made."],["dc.rights.uri","http://creativecommons.org/licenses/by-nc-nd/4.0/"],["dc.title","Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]