Sökning: "Institutionen för nationalekonomi och statistik NS Linnéuniversitetet"
Visar resultat 6 - 10 av 16 avhandlingar innehållade orden Institutionen för nationalekonomi och statistik NS Linnéuniversitetet.
6. Essays on Income Taxation
Sammanfattning : This thesis contributes to the study of income taxation. It consists of three self- contained papers.The first paper, Should Natives and Immigrants Face Different Income Tax Schedules, computes how optimal income tax schedules optimally should be differentiated between immigrants and natives. LÄS MER
7. Two Essays in Public Economics
Sammanfattning : This thesis consists of two self-contained essays. Essay I. I compute how optimal income tax schedules optimally should be differentiated between immigrants and natives. I use a calibrated optimal tax model with heterogeneous labor supply elasticities across and within groups and employ Utilitarian and Rawlsian social welfare functions. LÄS MER
8. Self-employment in Sweden: A Gender Perspective
Sammanfattning : This thesis analyses self-employment from a gender perspective. The data used combines survey data with register data. The survey covers various dimensions such as motivation, job satisfaction and time allocations. These are aspects that typically cannot be assessed by register data. LÄS MER
9. Essays on Ethnic Segregation and Economic Outcomes
Sammanfattning : Essay 1: This paper studies tipping behaviour in the residential mobility of the native population inSweden between 1990 and 2007. Using regression discontinuity methods, we find that thegrowth in native population in a neighbourhood discontinuously drops once aneighbourhood’s immigrant share exceeds the identified tipping point. LÄS MER
10. Essays on Segregation, Gender Economics, and Self-employment
Sammanfattning : This thesis consists of four empirical essays on the topics of ethnic segregation, gender economics, and self-employment. Essay I investigates how the residential mobility of Sweden's native population contributes to ethnic segregation, by applying regression discontinuity methods. LÄS MER