Culture in Economics

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Application deadlines The application period for the fall semester is from March 15 to May You can also start your program in the spring semester; the application period is from October 1 to November Admission to an advanced semester If you want to apply for an advanced semester, please contact Ms. Please observe the following:. We recommend you to send us your application as early as possible. Only then will we be able to request any missing documents from you. If you have any questions, please contact us.

Program facts and information Degree : Master of Arts M. Standard period of study : 4 semesters 2 years ECTS credits : approx. The following requirements must be met: a total of ECTS credits or a standard period of study of six semesters, a final grade of 2. English and American Studies: Applicants have to have passed examinations in one basic and one advanced module or obtained equivalent qualifications in English and American Studies during their bachelor's degree.

You may fulfill these requirements parallel to applying for the master's program; however, you have to provide proof of the missing academic achievements by the exam registration period in the first semester at the latest. Please observe the following: Applications with a transcript of records that has been printed out by the student him- or herself and has not been stamped — or applications that include copies of certificates and transcripts that have not been notarized — cannot be accepted and must be rejected.

Therefore, please ensure that your transcript of records carries the official stamp and signature of your higher education institution. Proof of language proficiency: We cannot accept all available certificates as proof of foreign language proficiency.

Please contact us in advance as applications without acceptable proof of language proficiency are invalid and must be rejected. Please note: The copy of your proof of language proficiency must also be notarized. Sebastian Hempen, M.

The Role of Culture in Economic Development

Fig 2. Fig 4. Fig 5. The average between-country cosine distances of music preferences. Fig 6. The between-country geographical and economic distances. Fig 8. Fig 7. The between-country linguistic and cultural distances. Cross-country correlation between differences in music preferences and cultural-socio-economic factors To test the hypotheses listed in Section 3, we create and compare three models to explore the relationship between cross-country distances in music preference as represented by album, artist, and genre listening frequencies and cross-country distances in geographical, economic, language, cultural and friendship density aspects.

Table 1 The QAP correlation results. Notes: Significance levels. Table 2 The QAP regression results. Fig 3. Supporting information S1 Fig The average percentage of genre listening counts to the total listening frequencies in each country. TIF Click here for additional data file. S2 Fig Lorenz curves of album listening frequency. S3 Fig Lorenz curves of artist listening frequency. S4 Fig Lorenz curves of genre listening frequency. S5 Fig The between-country distances in album listening based on word vector technique.

S6 Fig The between-country distances in artist listening based on word vector technique. S1 Table The distribution of users across the sampled countries and the populations of the countries. DOCX Click here for additional data file. S2 Table The values of the six cultural dimensions for the sampled countries. S3 Table Overview of socio-cultural-economic aspects investigated in this study.

S1 Data The friendship connections of the sampled users. XLSX Click here for additional data file. S2 Data The latitudes and longitudes of the capital cities of the sampled countries. References 1. ISMIR; Schedl M. Schedl M, Knees P, Personalization in multimodal music retrieval. Current challenges and visions in music recommender systems research. International Journal of Multimedia Information Retrieval. Music Discovery with Social Networks. Van Eijck K. Social differentiation in musical taste patterns. Social forces. Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset.

International journal of multimedia information retrieval. How can musical preferences be modified? A research review. Bulletin of the Council for Research in Music Education. Frith S. Performing rites: On the value of popular music : Harvard University Press; Sound effects; youth, leisure, and the politics of rock'n'roll. Attention, preference, and identity in music listening by middle school students of different linguistic backgrounds. Journal of Research in Music Education. Woolhouse M, Bansal J. Work, rest and press play: music consumption as an indicator of human economic development.

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Bourdieu P. Distinction: A social critique of the judgement of taste : Routledge; DiMaggio P, Mohr J. Cultural capital, educational attainment, and marital selection. American journal of sociology. Kirchberg V. Museum visitors and non-visitors in Germany: A representative survey.

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LeBlanc A. Effects of style, tempo, and performing medium on children's music preference. The do re mi's of everyday life: the structure and personality correlates of music preferences. Journal of personality and social psychology. Journal of Management Inquiry. The impact of music preferences on the perception of potential friends in adolescence. Zeitschrift Fur Sozialpsychologie. Tajfel H, Turner J. Chicago: Nelson; Tajfel H. Social identity and intergroup behaviour. Information International Social Science Council.

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An application of network analysis on tourist attractions: The case of Xinjiang, China.

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    Cultural economics

    Ucinet for Windows: Software for social network analysis. Connolly DT. An improved annealing scheme for the QAP. These researchers' papers were presented and discussed:. In this paper, Enke develops a measure of the tightness of historical kinship structures to provide empirical evidence for this large body of theories. In the data, societies with loose ancestral kinship ties cooperate and trust broadly, which appears to be sustained through a belief in moralizing gods, universal moral values, internalized guilt, altruistic punishment, and large-scale institutions.

    Societies with a historically tightly knit kinship structure, on the other hand, exhibit strong in-group favoritism: they cheat on and distrust out-group members, but readily support in-group members in need. This cooperation regime is enforced by tribalistic moral values, emotions of external shame, revenge-taking, conformity to social norms, and strong local institutions.

    Lyn Spillman

    These relationships hold across historical ethnicities, contemporary countries, ethnicities within countries, and among migrants. The results suggest that religious beliefs, moral values, social preferences, emotions, social norms, and institutions all coevolved to support specific social cooperation systems.

    Daniel L. Circuit Courts and 1 million District Court criminal sentencing decisions linked to judge identity.

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    6. To isolate the effect of judges from the types of cases they face, the researchers exploit random assignment of judges to control for court- and case-level factors, an exogenous seating network from random panel composition to trace the spread of economic reasoning in law, and ordering of cases within Circuit to identify general economic ideas that move across legal topics.

      They use natural language processing methods to quantify the influence of economics in written judicial opinions. Descriptively, they find that judges who use law and economics language vote for and author conservative verdicts as coded by Songer-Auburn in economics cases and are more opposed to government regulation. After attending Henry Manne's economics training program, participating judges use more economics language and render conservative verdicts in economics cases, rule against regulatory agencies, particularly in labor and environmental cases, get cited more and increase dissents.

      These results are robust to a large set of judge biographical controls, and do not exist prior to Manne program attendance, suggesting a causal effect of economics training on judicial decisions. Further, Manne economics training is more predictive of these decisions than appointing political party. The researchers further document a number of indirect channels of economics influence on the law beyond the direct effect on Manne program participants. Non-Manne judges exposed to Manne peers on previous cases increase their use of economics language in subsequent opinions.

      Further, some economics concepts are portable across legal contexts: "general-purpose" economics phrases such as "capital", and "efficiency" move across legal topics within a judge.

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