Anja Rossen

Personal Details

First Name:	Anja
Middle Name:
Last Name:	Rossen
Suffix:
RePEc Short-ID:	pro609
	[This author has chosen not to make the email address public]
	Dr Anja Rossen Regional Research Network - IAB Bavaria Thomas-Mann-Straße 50 90471 Nuremberg Germany
	+49 (0)911 179 4158

Affiliation

Institut für Arbeitsmarkt- und Berufsforschung (IAB)

Nürnberg, Germany
http://www.iab.de/
RePEc:edi:iabbbde (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Weyh, Antje & Hennig, Dustin & Fuchs, Michaela & Rossen, Anja, 2022. "Geschlechtsspezifische Lohnunterschiede in Sachsen in Zeiten der Corona-Pandemie," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen 202202, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Schmid, Ramona, 2022. "Mind the gap: Effects of the national minimum wage on the gender wage gap in Germany," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2022, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
   2. Schmid, Ramona, 2023. "Mind the Gap: Effects of the National Minimum Wage on the Gender Wage Gap in Germany," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277646, Verein für Socialpolitik / German Economic Association.

2. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Thüringen," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202002, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Fuchs, Michaela & Otto, Anne & Fritzsche, Birgit, 2021. "Systemrelevante Berufe und das Potenzial für Homeoffice: Eine geschlechtsspezifische Bestandsaufnahme für Thüringen," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202101, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

3. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Sachsen-Anhalt," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202001, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Fuchs, Michaela & Otto, Anne & Fritzsche, Birgit, 2021. "Systemrelevante Berufe und das Potenzial für Homeoffice: Eine geschlechtsspezifische Bestandsaufnahme für Sachsen-Anhalt," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202102, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

4. Rossen, Anja & Fuchs, Michaela & Lawitzky, Corinna & Weyh, Antje, 2019. "Geschlechtsspezifische Lohnunterschiede in Bayern," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 201903, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Thüringen," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202002, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   2. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Sachsen-Anhalt," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202001, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

5. Fuchs, Michaela & Rossen, Anja & Weyh, Antje & Wydra-Somaggio, Gabriele, 2019. "Why do women earn more than men in some regions? : Explaining regional differences in the gender pay gap in Germany," IAB-Discussion Paper 201911, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Thüringen," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202002, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   2. Maik Hamjediers, 2021. "Can Regional Gender Ideologies Account for Variation of Gender Pay Gaps? The Case of Germany," Social Sciences, MDPI, vol. 10(9), pages 1-21, September.
   3. Kajari Saha, 2021. "The China trade shock and the gender wage gap in India: A District-level analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-012, Indira Gandhi Institute of Development Research, Mumbai, India.
   4. Rossen, Anja & Fuchs, Michaela & Lawitzky, Corinna & Weyh, Antje, 2019. "Geschlechtsspezifische Lohnunterschiede in Bayern," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 201903, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   5. Philipp Heß, 2020. "SDG 5 and the Gender Gap in Standardization: Empirical Evidence From Germany," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
   6. Fuchs, Michaela & Lawitzky, Corinna & Rossen, Anja & Weyh, Antje, 2020. "Geschlechtsspezifische Lohnunterschiede in Sachsen-Anhalt," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen-Anhalt-Thüringen 202001, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   7. Jones, Melanie & Kaya, Ezgi, 2020. "The Gender Pay Gap: What can we learn from Northern Ireland?," Cardiff Economics Working Papers E2020/9, Cardiff University, Cardiff Business School, Economics Section.
      • Jones, Melanie K. & Kaya, Ezgi, 2020. "The Gender Pay Gap: What Can We Learn from Northern Ireland?," IZA Discussion Papers 13318, Institute of Labor Economics (IZA).
      • Melanie Jones & Ezgi Kaya, 2022. "The gender pay gap: what can we learn from Northern Ireland? [Women’s labour market participation in Northern Ireland: a re-examination of the ‘traditionalism’ argument]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 94-114.
   8. Schmid, Ramona, 2022. "Mind the gap: Effects of the national minimum wage on the gender wage gap in Germany," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2022, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
   9. Schmid, Ramona, 2023. "Mind the Gap: Effects of the National Minimum Wage on the Gender Wage Gap in Germany," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277646, Verein für Socialpolitik / German Economic Association.
   10. Weyh, Antje & Lawitzky, Corinna & Rossen, Anja & Fuchs, Michaela, 2019. "Geschlechtsspezifische Lohnunterschiede in Sachsen," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Sachsen 201902, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

6. Boll, Christina & Rossen, Anja & Wolf, André, 2018. "Patterns of overeducation in Europe: The role of field of study," HWWI Research Papers 184, Hamburg Institute of International Economics (HWWI).
   • Rossen Anja & Boll Christina & Wolf André, 2019. "Patterns of Overeducation in Europe: The Role of Field of Study," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-48, June.
   • Boll, Christina & Rossen, Anja & Wolf, André, 2018. "Patterns of overeducation in Europe: The role of field of study," IAB-Discussion Paper 201820, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Esposito, Piero & Scicchitano, Sergio, 2022. "Educational mismatch and labour market transitions in Italy: Is there an unemployment trap?," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 138-155.
   2. Paulina Broniatowska, 2021. "Wage Effects of Overeducation: Evidence from Poland," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 25-53, March.
   3. Manuel Salas-Velasco, 2021. "Mapping the (mis)match of university degrees in the graduate labor market," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-23, December.
   4. Yousef Makhlouf & Christopher Lalley, 2023. "Education Expansion, Income Inequality and Structural Transformation: Evidence From OECD Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 255-281, September.
   5. S.D. Kapelyuk & E.N. Lishchuk, 2020. "The Scale of Overeducation in the Rural Labor Market," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(3), pages 370-397.

7. Teichert, Christian & Niebuhr, Annekatrin & Otto, Anne & Rossen, Anja, 2018. "Graduate migration in Germany - new evidence from an event history analysis," IAB-Discussion Paper 201803, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Heinisch, Dominik & Koenig, Johannes & Otto, Anne, 2019. "The IAB-INCHER project of earned doctorates (IIPED): A supervised machine learning approach to identify doctorate recipients in the German integrated employment biography data," IAB-Discussion Paper 201913, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   2. Hooijen, Inge & Bijlsma, Ineke & Cörvers, Frank & Poulissen, Davey, 2020. "The geographical psychology of recent graduates in the Netherlands: Relating environmental factors and personality traits to location choice," ROA Research Memorandum 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
      • Hooijen, Inge & Bijlsma, Ineke & Cörvers, Frank & Poulissen, Davey, 2020. "The geographical psychology of recent graduates in the Netherlands: Relating enviornmental factors and personality traits to location choice," Research Memorandum 003, Maastricht University, Graduate School of Business and Economics (GSBE).
   3. Arthur Grimes & Shaan Badenhorst & David C. Maré & Jacques Poot, 2020. "Hometown wh?nau or big city millennials? The economic geography of graduate destination choices in New Zealand," Working Papers 20_04, Motu Economic and Public Policy Research.

8. Eigenhüller, Lutz & Rossen, Anja & Böhme, Stefan, 2018. "Folgen der Digitalisierung für den Arbeitsmarkt in Bayern : Aktualisierte Substituierbarkeitspotenziale," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 201802, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Böhme, Stefan & Eigenhüller, Lutz, 2020. "Beschäftigung in der Finanz- und Versicherungswirtschaft in Bayern," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 202001, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

9. Rossen, Anja & Böhme, Stefan, 2018. "Der bayerische Arbeitsmarkt 2018 : Die Regionalprognose des IAB," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 201801, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

   Cited by:

   1. Buch, Tanja & Carstensen, Jeanette & Hamann, Silke & Otto, Anne & Seibert, Holger & Sieglen, Georg, 2020. "Grenzpendler aus dem Ausland: Immer mehr Beschäftigte in Deutschland mit ausländischem Wohnort (Cross-Border commuters from abroad: More and more employees in Germany have a foreign residency)," IAB-Kurzbericht 202009, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

10. Eigenhüller, Lutz & Rossen, Anja & Buch, Tanja & Dengler, Katharina, 2017. "Digitalisierung der Arbeitswelt : Folgen für den Arbeitsmarkt in Bayern," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 201701, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Eigenhüller, Lutz & Fetsch, Nadine & Rossen, Anja & Böhme, Stefan, 2021. "Digitalisierung in der Arbeitswelt - Aktualisierte Substituierbarkeitspotenziale für Bayern," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Bayern 202101, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

11. Boll, Christina & Leppin, Julian Sebstian & Rossen, Anja & Wolf, André, 2016. "Overeducation - new evidence for 25 European countries," HWWI Research Papers 173, Hamburg Institute of International Economics (HWWI).
    • Boll, Christina & Leppin, Julian & Rossen, Anja & Wolf, André, 2016. "Overeducation - New evidence for 25 European countries," IAB-Discussion Paper 201635, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
       • Vannutelli, Silvia & Scicchitano, Sergio & Biagetti, Marco, 2021. "Routine biased technological change and wage inequality: do workers' perceptions matter?," GLO Discussion Paper Series 763, Global Labor Organization (GLO).
    2. María Paola Sevilla & Mauricio Farías & Daniela Luengo-Aravena, 2021. "Patterns and Persistence of Educational Mismatch: A Trajectory Approach Using Chilean Panel Data," Social Sciences, MDPI, vol. 10(9), pages 1-24, September.
    3. Sanchez-Romero, Miguel & Fürnkranz-Prskawetz, Alexia, 2019. "The impact of reducing the pension generosity on inequality and schooling," ECON WPS - Working Papers in Economic Theory and Policy 07/2019, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
       • Miguel Sanchez-Romero & Alexia Prskawetz, 2020. "The Impact of Reducing the Pension Generosity on Inequality and Schooling," De Economist, Springer, vol. 168(2), pages 279-304, June.
    4. Duncan Roth, 2017. "Cohort size and transitions into the labour market," MAGKS Papers on Economics 201708, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
       • Roth, Duncan, 2017. "Cohort size and transitions into the labour market," IAB-Discussion Paper 201702, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. John Moffat & Duncan Roth, 2014. "Cohort size and youth labour-market outcomes: the role of measurement error," MAGKS Papers on Economics 201440, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
       • Moffat, John & Roth, Duncan, 2016. "Cohort size and youth labour-market outcomes: the role of measurement error," IAB-Discussion Paper 201637, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Barbara Ermini & Luca Papi & Francesca Scaturro, 2017. "An Analysis of the Determinants of Over-Education Among Italian Ph.D Graduates," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 167-207, July.
    7. Juan Acosta-Ballesteros & María del Pilar Osorno-del Rosal & Olga María Rodríguez-Rodríguez, 2018. "Overeducation of Young Workers in Spain: How Much Does the First Job Matter? Social Indicators Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 109-139, July.
    8. Grass, Karen & Weber, Enzo, 2016. "EU 4.0 - Die Debatte zu Digitalisierung und Arbeitsmarkt in Europa," IAB-Discussion Paper 201639, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Laura C. Blanco, 2019. "Emparejamiento entre competencias y empleo en el mercado laboral costarricense," Working Papers 201905, Universidad de Costa Rica, revised Oct 2019.
    10. Muñoz de Bustillo, Rafael & Sarkar, Sudipa & Sebastián, Raquel & Antón, José-Ignacio, 2018. "Education mismatch in Europe at the turn of the century: Measurement, intensity and evolution," MPRA Paper 85779, University Library of Munich, Germany.

12. Boll, Christina & Rossen, Anja & Wolf, André, 2016. "The EU gender earnings gap: Job segregation and working time as driving factors," HWWI Research Papers 176, Hamburg Institute of International Economics (HWWI).
    • Boll Christina & Wolf André & Rossen Anja, 2017. "The EU Gender Earnings Gap: Job Segregation and Working Time as Driving Factors," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 407-452, October.
    • Boll, Christina & Rossen, Anja & Wolf, André, 2016. "The EU gender earnings gap : job segregation and working time as driving factors," IAB-Discussion Paper 201636, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Maik Hamjediers, 2021. "Can Regional Gender Ideologies Account for Variation of Gender Pay Gaps? The Case of Germany," Social Sciences, MDPI, vol. 10(9), pages 1-21, September.
    2. Ana Maria Munoz Boudet & Lourdes Rodriguez Chamussy & Christina Chiarella & Isil Oral Savonitto, 2021. "Women and STEM in Europe and Central Asia," World Bank Publications - Reports 35463, The World Bank Group.
    3. Kugler, Maurice David & Viollaz, Mariana & Vasconcellos Archer Duque, Daniel & Gaddis, Isis & Newhouse, David Locke & Palacios-Lopez, Amparo & Weber, Michael, 2021. "How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?," Jobs Group Papers, Notes, and Guides 33191003, The World Bank.
       • Maurice Kugler & Mariana Viollaz & Daniel Duque & Isis Gaddis & David Newhouse & Amparo Palacios-Lopez & Michael Weber, 2021. "How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?," World Bank Publications - Reports 36168, The World Bank Group.
       • Kugler, Maurice & Viollaz, Mariana & Duque, Daniel & Gaddis, Isis & Newhouse, David & Palacios-Lopez, Amparo & Weber, Michael, 2023. "How did the COVID-19 crisis affect different types of workers in the developing world?," World Development, Elsevier, vol. 170(C).
       • Kugler,Maurice David & Viollaz,Mariana & Vasconcellos Archer Duque,Daniel & Gaddis,Isis & Newhouse,David Locke & Palacios-Lopez,Amparo & Weber,Michael, 2021. "How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World ?," Policy Research Working Paper Series 9703, The World Bank.
       • Kugler, Maurice & Viollaz, Mariana & Duque, Daniel & Gaddis, Isis & Newhouse, David & Palacios-Lopez, Amparo & Weber, Michael, 2021. "How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?," IZA Discussion Papers 14519, Institute of Labor Economics (IZA).
    4. Amaia PALENCIA‐ESTEBAN, 2022. "Occupational segregation of female and male immigrants in Europe: Accounting for cross‐country differences," International Labour Review, International Labour Organization, vol. 161(3), pages 341-373, September.
    5. Boll, Christina & Bublitz, Elisabeth, 2016. "A cross-country comparison of gender differences in job-related training: The role of working hours and the household context," HWWI Research Papers 172, Hamburg Institute of International Economics (HWWI).
       • Christina Boll & Elisabeth Bublitz, 2018. "A Cross‐Country Comparison of Gender Differences in Job‐Related Training: The Role of Working Hours and the Household Context," British Journal of Industrial Relations, London School of Economics, vol. 56(3), pages 503-555, September.
    6. Drupp, Moritz A. & Khadjavi, Menusch & Riekhof, Marie-Catherine & Voss, Rüdiger, 2017. "Professional identity and the gender gap in risk-taking: Evidence from a field experiment with scientists," Kiel Working Papers 2077, Kiel Institute for the World Economy (IfW Kiel).
       • Drupp, Moritz A. & Khadjavi, Menusch & Riekhof, Marie-Catherine & Voss, Rudi, 2020. "Professional identity and the gender gap in risk-taking. Evidence from field experiments with scientists," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 418-432.
    7. Duman, Anil, 2020. "Non-Standard Employment and Wage Differences across Gender: a quantile regression approach," GLO Discussion Paper Series 664, Global Labor Organization (GLO).
    8. Izaskun Barba & Belen Iraizoz, 2020. "Effect of the Great Crisis on Sectoral Female Employment in Europe: A Structural Decomposition Analysis," Economies, MDPI, vol. 8(3), pages 1-24, August.
    9. Lara Minkus, 2019. "Labor Market Closure and the Stalling of the Gender Pay Gap," SOEPpapers on Multidisciplinary Panel Data Research 1049, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Renata Semenza & Giorgio Boccardo & Simone Sarti, 2021. "So Far, so Similar? Labour Market Feminization in Italy and Chile," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(3), pages 917-942, April.
    11. Grass, Karen & Weber, Enzo, 2016. "EU 4.0 - Die Debatte zu Digitalisierung und Arbeitsmarkt in Europa," IAB-Discussion Paper 201639, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

13. Rossen, Anja & Schlitte, Friso & Schulze, Sven & Wolf, André, 2015. "Volkswirtschaftliche Aspekte des Luftfahrtforschungsprogramms des BMWi," HWWI Policy Papers 96, Hamburg Institute of International Economics (HWWI).

    Cited by:

    1. Kazantsev, Nikolai & Petrovskyi, Oleksii & Müller, Julian M., 2023. "From supply chains towards manufacturing ecosystems: A system dynamics model," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

14. Buch, Tanja & Hamann, Silke & Niebuhr, Annekatrin & Rossen, Anja, 2014. "How to woo the smart ones? Evaluating the determinants that particularly attract highly qualified people to cities," HWWI Research Papers 159, Hamburg Institute of International Economics (HWWI).

    Cited by:

    1. Fahad K. Alqahtani & Ahmed R. El Qasaby & Ibrahim S. Abotaleb, 2021. "Urban Development and Sustainable Utilization: Challenges and Solutions," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    2. Hyun-kyung Lee & Hong-bae Kim, 2019. "Regional preferences for the living environment and mobility of researchers and general workers: the case of Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 169-186, February.
    3. Andreas, Verena & Böhme, René & Fortmann, Fabian & Holtermann, Jens & Nischwitz, Guido, 2018. "Wachsende Stadt Bremen: Zwischen Reurbanisierung und Suburbanisierung," Reihe Arbeit und Wirtschaft in Bremen 23, Institut Arbeit und Wirtschaft (IAW), Universität Bremen und Arbeit­nehmer­kammer Bremen.
    4. Batinti, Alberto & Andriani, Luca & Filippetti, Andrea, 2019. "Local government fiscal policy, social capital and electoral payoff: evidence across Italian municipalities," LSE Research Online Documents on Economics 100438, London School of Economics and Political Science, LSE Library.
       • Alberto Batinti & Luca Andriani & Andrea Filippetti, 2019. "Local Government Fiscal Policy, Social Capital and Electoral Payoff: Evidence across Italian Municipalities," Kyklos, Wiley Blackwell, vol. 72(4), pages 503-526, November.
    5. Alina Maria Pavelea & Bogdana Neamțu & Peter Nijkamp & Karima Kourtit, 2021. "Is the Creative Class a Game Changer in Cities? A Socioeconomic Study on Romania," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    6. Arthur Grimes & Shaan Badenhorst & David C. Maré & Jacques Poot, 2020. "Hometown wh?nau or big city millennials? The economic geography of graduate destination choices in New Zealand," Working Papers 20_04, Motu Economic and Public Policy Research.
    7. Arntz, Melanie & Brüll, Eduard & Lipowski, Cäcilia, 2021. "Do preferences for urban amenities really differ by skill?," ZEW Discussion Papers 21-045, ZEW - Leibniz Centre for European Economic Research.
    8. Silvia Kopecny & Steffen Hillmert, 2021. "Place of study, field of study and labour-market region: What matters for wage differences among higher-education graduates?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-21, December.
    9. Sebastian Klüsener, 2015. "Spatial variation in non-marital fertility across Europe: recent trends, past path dependencies, and potential future pathways," MPIDR Working Papers WP-2015-001, Max Planck Institute for Demographic Research, Rostock, Germany.
    10. Kopecny, Silvia & Hillmert, Steffen, 2021. "Place of study, field of study and labour-market region: What matters for wage differences among higher-education graduates?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-19.

15. Rossen, Anja, 2014. "What are metal prices like? Co-movement, price cycles and long-run trends," HWWI Research Papers 155, Hamburg Institute of International Economics (HWWI).
    • Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.

    Cited by:

    1. Liang, Xuedong & Yang, Xu & Yan, Fuhai & Li, Zhi, 2020. "Exploring global embodied metal flows in international trade based combination of multi-regional input-output analysis and complex network analysis," Resources Policy, Elsevier, vol. 67(C).
    2. Peter Buchholz & Friedrich-W. Wellmer & Dennis Bastian & Maren Liedtke, 2020. "Leaning against the wind: low-price benchmarks for acting anticyclically in the metal markets," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 81-100, July.
    3. Wang, Xiao-Qing & Wu, Tong & Zhong, Huaming & Su, Chi-Wei, 2023. "Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?," Resources Policy, Elsevier, vol. 83(C).
    4. Sipan Aslan & Ceylan Yozgatligil & Cem Iyigun, 2018. "Temporal clustering of time series via threshold autoregressive models: application to commodity prices," Annals of Operations Research, Springer, vol. 260(1), pages 51-77, January.
    5. Ding, Yinghui & Chen, Shan & Li, Haoran & Sun, Qingru & Chen, Hanyu & Yu, Hui, 2023. "Causality inference among base metal, rare metal and precious metal markets," Resources Policy, Elsevier, vol. 85(PB).
    6. Yves Jégourel, 2018. "Tendances et cyclicité du prix des matières premières (partie 2) : le super-cycle des matières premières en question," Policy notes & Policy briefs 1824, Policy Center for the New South.
    7. Luis Alberiko Gil-Alaña & Rangan Gupta, 2016. "Trends and Cycles in Historical Gold and Silver Prices," NCID Working Papers 05/2016, Navarra Center for International Development, University of Navarra.
       • Luis A. Gil-Alana & Goodness C. Aye & Rangan Gupta, 2015. "Trends and Cycles in Historical Gold and Silver Prices," Working Papers 201507, University of Pretoria, Department of Economics.
       • Gil-Alana, Luis A. & Aye, Goodness C. & Gupta, Rangan, 2015. "Trends and cycles in historical gold and silver prices," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 98-109.
    8. Pincheira, Pablo & Hardy, Nicolás, 2019. "Forecasting Aluminum Prices with Commodity Currencies," MPRA Paper 97005, University Library of Munich, Germany.
       • Pincheira, Pablo & Hardy, Nicolás, 2021. "Forecasting aluminum prices with commodity currencies," Resources Policy, Elsevier, vol. 73(C).
    9. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    10. Guo, Tianjiao & Geng, Yong & Song, Xiaoqian & Rui, Xue & Ge, Zewen, 2023. "Tracing magnesium flows in China: A dynamic material flow analysis," Resources Policy, Elsevier, vol. 83(C).
    11. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021. "Common factors and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 74(C).
    12. Marañon, Matias & Kumral, Mustafa, 2019. "Kondratiev long cycles in metal commodity prices," Resources Policy, Elsevier, vol. 61(C), pages 21-28.
    13. {L}ukasz Bielak & Aleksandra Grzesiek & Joanna Janczura & Agnieszka Wy{l}oma'nska, 2021. "Market risk factors analysis for an international mining company. Multi-dimensional, heavy-tailed-based modelling," Papers 2107.07142, arXiv.org.
        • Bielak, Łukasz & Grzesiek, Aleksandra & Janczura, Joanna & Wyłomańska, Agnieszka, 2021. "Market risk factors analysis for an international mining company. Multi-dimensional, heavy-tailed-based modelling," Resources Policy, Elsevier, vol. 74(C).
    14. Ihle, Rico & Bar-Nahum, Ziv & Nivievskyi, Oleg & Rubin, Ofir, 2021. "Russia’s Invasion of Ukraine Increased the Synchronisation of Global Commodity Prices," 2021: Trade and Environmental Policies: Synergies and Rivalries, December 12-14, San Diego, CA, Hybrid 339566, International Agricultural Trade Research Consortium.
        • Rico Ihle & Ziv Bar‐Nahum & Oleg Nivievskyi & Ofir D. Rubin, 2022. "Russia’s invasion of Ukraine increased the synchronisation of global commodity prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 775-796, October.
    15. Jung Youn Mo & Wooyoung Jeon, 2018. "The Impact of Electric Vehicle Demand and Battery Recycling on Price Dynamics of Lithium-Ion Battery Cathode Materials: A Vector Error Correction Model (VECM) Analysis," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    16. Tony Addison & Atanu Ghoshray, 2020. "Discerning trends in international metal prices in the presence of non-stationary volatility," WIDER Working Paper Series wp-2020-104, World Institute for Development Economic Research (UNU-WIDER).
        • Addison, Tony & Ghoshray, Atanu, 2023. "Discerning trends in international metal prices in the presence of nonstationary volatility," Resource and Energy Economics, Elsevier, vol. 71(C).
    17. Su, Chi-Wei & Wang, Xiao-Qing & Zhu, Haotian & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Testing for multiple bubbles in the copper price: Periodically collapsing behavior," Resources Policy, Elsevier, vol. 65(C).
    18. Jyrki Savolainen & Michele Urbani, 2021. "Maintenance optimization for a multi-unit system with digital twin simulation," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1953-1973, October.
    19. Barbaglia, Luca & Wilms, Ines & Croux, Christophe, 2016. "Commodity dynamics: A sparse multi-class approach," Energy Economics, Elsevier, vol. 60(C), pages 62-72.
        • Luca Barbaglia & Ines Wilms & Christophe Croux, 2016. "Commodity Dynamics: A Sparse Multi-class Approach," Papers 1604.01224, arXiv.org, revised Oct 2016.
        • Luca Barbaglia & Ines Wilms & Christophe Croux, 2016. "Commodity dynamics: a sparse multi-class approach," Working Papers of Department of Decision Sciences and Information Management, Leuven 538113, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    20. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
        • Baffes,John,Kabundi,Alain Ntumba, 2021. "Commodity Price Shocks : Order within Chaos ?," Policy Research Working Paper Series 9792, The World Bank.
    21. Pincheira, Pablo & Hardy, Nicolas, 2018. "The predictive relationship between exchange rate expectations and base metal prices," MPRA Paper 89423, University Library of Munich, Germany.
    22. Pincheira Brown, Pablo & Hardy, Nicolás, 2019. "Forecasting base metal prices with the Chilean exchange rate," Resources Policy, Elsevier, vol. 62(C), pages 256-281.
    23. An, Sufang & Gao, Xiangyun & An, Haizhong & Liu, Siyao & Sun, Qingru & Jia, Nanfei, 2020. "Dynamic volatility spillovers among bulk mineral commodities: A network method," Resources Policy, Elsevier, vol. 66(C).
    24. Savolainen, Jyrki & Collan, Mikael & Kyläheiko, Kalevi & Luukka, Pasi, 2017. "On the trade-off between the leverage effect and real options thinking: A simulation-based model on metal mining investment," International Journal of Production Economics, Elsevier, vol. 194(C), pages 43-51.
    25. Golosnoy, Vasyl & Rossen, Anja, 2014. "Modeling dynamics of metal price series via state space approach with two common factors," HWWI Research Papers 156, Hamburg Institute of International Economics (HWWI).
        • Vasyl Golosnoy & Anja Rossen, 2018. "Modeling dynamics of metal price series via state space approach with two common factors," Empirical Economics, Springer, vol. 54(4), pages 1477-1501, June.
    26. Nekhili, Ramzi & Sultan, Jahangir & Mensi, Walid, 2021. "Co-movements among precious metals and implications for portfolio management: A multivariate wavelet-based dynamic analysis," Resources Policy, Elsevier, vol. 74(C).
    27. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    28. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    29. Guo, Sui & Li, Huajiao & An, Haizhong & Sun, Qingru & Hao, Xiaoqing & Liu, Yanxin, 2019. "Steel product prices transmission activities in the midstream industrial chain and global markets," Resources Policy, Elsevier, vol. 60(C), pages 56-71.
    30. Tapia Cortez, Carlos A. & Hitch, Michael & Sammut, Claude & Coulton, Jeff & Shishko, Robert & Saydam, Serkan, 2018. "Determining the embedding parameters governing long-term dynamics of copper prices," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 186-197.
    31. Ewees, Ahmed A. & Elaziz, Mohamed Abd & Alameer, Zakaria & Ye, Haiwang & Jianhua, Zhang, 2020. "Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility," Resources Policy, Elsevier, vol. 65(C).
    32. Claudio-Quiroga, Gloria & Gil-Alana, Luis A. & Maiza-Larrarte, Andoni, 2023. "Mineral prices persistence and the development of a new energy vehicle industry in China: A fractional integration approach," Resources Policy, Elsevier, vol. 82(C).
    33. Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Wanas Al-Jarrah, Idries Mohammad & Mensi, Walid & Vo, Xuan Vinh, 2020. "Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis," Resources Policy, Elsevier, vol. 67(C).
    34. Cifuentes, Sebastián & Cortazar, Gonzalo & Ortega, Hector & Schwartz, Eduardo S., 2020. "Expected prices, futures prices and time-varying risk premiums: The case of copper," Resources Policy, Elsevier, vol. 69(C).
    35. Di Shang & Chang Yu & Gang Diao, 2021. "Study on Impacts of COVID-19 Pandemic Recession Based on Monte Carlo Simulation," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(6), pages 724-747.
    36. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    37. Marañon, Matias & Kumral, Mustafa, 2018. "Exploring the Elliott Wave Principle to interpret metal commodity price cycles," Resources Policy, Elsevier, vol. 59(C), pages 125-138.
    38. Brett J. Watson & Roderick G. Eggert, 2021. "Understanding relative metal prices and availability: Combining physical and economic perspectives," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 890-899, August.
    39. Tano, Sofia & Pettersson, Örjan & Stjernström, Olof, 2016. "Labour income effects of the recent “mining boom” in northern Sweden," Resources Policy, Elsevier, vol. 49(C), pages 31-40.
    40. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    41. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).
    42. Mikael Collan & Jyrki Savolainen & Pasi Luukka, 2017. "Investigating the effect of price process selection on the value of a metal mining asset portfolio," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 30(2), pages 107-115, July.
    43. Sun, Xiaotian & Fang, Wei & Gao, Xiangyun & An, Sufang & Liu, Siyao & Wu, Tao, 2021. "Time-varying causality inference of different nickel markets based on the convergent cross mapping method," Resources Policy, Elsevier, vol. 74(C).
    44. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    45. Pincheira, Pablo & Hardy, Nicolas, 2018. "Forecasting Base Metal Prices with Commodity Currencies," MPRA Paper 83564, University Library of Munich, Germany.
    46. Carpentier, Cécile & Suret, Jean-Marc, 2019. "On the performance of a stepping-stone market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 226-239.
    47. Szarek, Dawid & Bielak, Łukasz & Wyłomańska, Agnieszka, 2020. "Long-term prediction of the metals’ prices using non-Gaussian time-inhomogeneous stochastic process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    48. Bouri, Elie & Nekhili, Ramzi & Todorova, Neda, 2023. "Dynamic co-movement in major commodity markets during crisis periods: A wavelet local multiple correlation analysis," Finance Research Letters, Elsevier, vol. 55(PB).
    49. Zheng, Shuxian & Tan, Zhanglu & Xing, Wanli & Zhou, Xuanru & Zhao, Pei & Yin, Xiuqi & Hu, Han, 2022. "A comparative exploration of the chaotic characteristics of Chinese and international copper futures prices," Resources Policy, Elsevier, vol. 78(C).
    50. Shammugam, Shivenes & Rathgeber, Andreas & Schlegl, Thomas, 2019. "Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?," Resources Policy, Elsevier, vol. 61(C), pages 49-66.
    51. Alper Kara & Dilem Yildirim & G. Ipek Tunc, 2023. "Market efficiency in non-renewable resource markets: evidence from stationarity tests with structural changes," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 279-290, June.

16. Golosnoy, Vasyl & Rossen, Anja, 2014. "Modeling dynamics of metal price series via state space approach with two common factors," HWWI Research Papers 156, Hamburg Institute of International Economics (HWWI).
    • Vasyl Golosnoy & Anja Rossen, 2018. "Modeling dynamics of metal price series via state space approach with two common factors," Empirical Economics, Springer, vol. 54(4), pages 1477-1501, June.

    Cited by:

    1. Juan Antonio Galán-Gutiérrez & Rodrigo Martín-García, 2022. "Fundamentals vs. Financialization during Extreme Events: From Backwardation to Contango, a Copper Market Analysis during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    2. Galán-Gutiérrez, Juan Antonio & Labeaga, José M. & Martín-García, Rodrigo, 2023. "Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle," Resources Policy, Elsevier, vol. 81(C).

17. Rossen, Anja, 2011. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 113, Hamburg Institute of International Economics (HWWI).
    • Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
    • Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
    • Rossen, Anja, 2014. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 157, Hamburg Institute of International Economics (HWWI).

    Cited by:

    1. Hillmann, Katja & Hohenleitner, Ingrid, 2012. "Impact of benefit sanctions on unemployment outflow: Evidence from German survey data," HWWI Research Papers 129 [rev.], Hamburg Institute of International Economics (HWWI).
       • Hillmann, Katja & Hohenleitner, Ingrid, 2012. "Impact of benefit sanctions on unemployment outflow: Evidence from German survey data," HWWI Research Papers 129, Hamburg Institute of International Economics (HWWI).
       • Hohenleitner, Ingrid & Hillmann, Katja, 2012. "Impact of Benefit Sanctions on Unemployment Outflow - Evidence from German Survey Data," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 66055, Verein für Socialpolitik / German Economic Association.

Articles

1. Michaela Fuchs & Anja Rossen & Antje Weyh & Gabriele Wydra‐Somaggio, 2021. "Where do women earn more than men? Explaining regional differences in the gender pay gap," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 1065-1086, November.

   Cited by:

   1. Michael Wyrwich, 2022. "Historical episodes and their legacies across space: A famous case revisited," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1048-1091, September.
   2. Kuhn, Andreas, 2022. "The Geography of Occupational Choice: Empirical Evidence from the Swiss Apprenticeship Market," IZA Discussion Papers 15679, Institute of Labor Economics (IZA).
   3. Giannina Vaccaro & Maria Pia Basurto & Arlette Beltrán & Mariano Montoya, 2022. "The Gender Wage Gap in Peru: Drivers, Evolution, and Heterogeneities," Social Inclusion, Cogitatio Press, vol. 10(1), pages 19-34.

2. Christian Teichert & Annekatrin Niebuhr & Anne Otto & Anja Rossen, 2020. "Work experience and graduate migration: an event history analysis of German data," Regional Studies, Taylor & Francis Journals, vol. 54(10), pages 1413-1424, October.

   Cited by:

   1. Moritz Meister & Annekatrin Niebuhr & Jan Cornelius Peters & Johannes Stiller, 2023. "Local attributes and migration balance – evidence for different age and skill groups from a machine learning approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(4), pages 794-825, May.
   2. Annamaria Nifo & Domenico Scalera & Gaetano Vecchione, 2020. "Does skilled migration reduce investment in human capital? An investigation on educational choices in Italian regions (2001–2016)," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 781-802, November.
   3. Arthur Grimes & Shaan Badenhorst & David C. Maré & Jacques Poot & Isabelle Sin, 2023. "Quality of life, quality of business, and destinations of recent graduates: fields of study matter," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 55-80, February.

3. Rossen Anja & Boll Christina & Wolf André, 2019. "Patterns of Overeducation in Europe: The Role of Field of Study," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-48, June.
   • Boll, Christina & Rossen, Anja & Wolf, André, 2018. "Patterns of overeducation in Europe: The role of field of study," IAB-Discussion Paper 201820, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   • Boll, Christina & Rossen, Anja & Wolf, André, 2018. "Patterns of overeducation in Europe: The role of field of study," HWWI Research Papers 184, Hamburg Institute of International Economics (HWWI).
   See citations under working paper version above.
4. Vasyl Golosnoy & Anja Rossen, 2018. "Modeling dynamics of metal price series via state space approach with two common factors," Empirical Economics, Springer, vol. 54(4), pages 1477-1501, June.
   • Golosnoy, Vasyl & Rossen, Anja, 2014. "Modeling dynamics of metal price series via state space approach with two common factors," HWWI Research Papers 156, Hamburg Institute of International Economics (HWWI).
   See citations under working paper version above.
5. Boll Christina & Wolf André & Rossen Anja, 2017. "The EU Gender Earnings Gap: Job Segregation and Working Time as Driving Factors," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 407-452, October.
   • Boll, Christina & Rossen, Anja & Wolf, André, 2016. "The EU gender earnings gap: Job segregation and working time as driving factors," HWWI Research Papers 176, Hamburg Institute of International Economics (HWWI).
   • Boll, Christina & Rossen, Anja & Wolf, André, 2016. "The EU gender earnings gap : job segregation and working time as driving factors," IAB-Discussion Paper 201636, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
   See citations under working paper version above.
6. Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
   • Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
   • Rossen, Anja, 2011. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 113, Hamburg Institute of International Economics (HWWI).
   • Rossen, Anja, 2014. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 157, Hamburg Institute of International Economics (HWWI).
   See citations under working paper version above.
7. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
   • Rossen, Anja, 2014. "What are metal prices like? Co-movement, price cycles and long-run trends," HWWI Research Papers 155, Hamburg Institute of International Economics (HWWI).
   See citations under working paper version above.
8. Tanja Buch & Silke Hamann & Annekatrin Niebuhr & Anja Rossen, 2014. "What Makes Cities Attractive? The Determinants of Urban Labour Migration in Germany," Urban Studies, Urban Studies Journal Limited, vol. 51(9), pages 1960-1978, July.

   Cited by:

   1. Moritz Meister & Annekatrin Niebuhr & Jan Cornelius Peters & Johannes Stiller, 2023. "Local attributes and migration balance – evidence for different age and skill groups from a machine learning approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(4), pages 794-825, May.
   2. Yanting Tang & Jinlong Gao & Wen Chen, 2022. "The Spatial-Temporal Evolution of Population in the Yangtze River Delta, China: An Urban Hierarchy Perspective," Land, MDPI, vol. 11(10), pages 1-15, October.
   3. Pierre-Henri Bono & Quentin David & Rodolphe Desbordes & Loriane Py, 2022. "Metro infrastructure and metropolitan attractiveness," SciencePo Working papers Main hal-03969395, HAL.
      • Pierre-Henri Bono & Quentin David & Rodolphe Desbordes & Loriane Py, 2022. "Metro infrastructure and metropolitan attractiveness," Post-Print hal-03969395, HAL.
      • Bono, Pierre-Henri & David, Quentin & Desbordes, Rodolphe & Py, Loriane, 2022. "Metro infrastructure and metropolitan attractiveness," Regional Science and Urban Economics, Elsevier, vol. 93(C).
   4. T. Gregory & R. Patuelli, 2013. "Regional Age Structure, Human Capital and Innovation - Is Demographic Ageing Increasing Regional Disparities?," Working Papers wp900, Dipartimento Scienze Economiche, Universita' di Bologna.
      • Terry Gregory & Roberto Patuelli, 2013. "Demographic Ageing and the Polarization of Regions - An Exploratory Space-Time Analysis," Working Paper series 51_13, Rimini Centre for Economic Analysis, revised Feb 2015.
      • Gregory, Terry & Patuelli, Roberto, 2013. "Regional age structure, human capital and innovation: Is demographic ageing increasing regional disparities?," ZEW Discussion Papers 13-057, ZEW - Leibniz Centre for European Economic Research.
      • Terry Gregory & Roberto Patuelli, 2015. "Demographic ageing and the polarization of regions—an exploratory space–time analysis," Environment and Planning A, , vol. 47(5), pages 1192-1210, May.
   5. Hyun-kyung Lee & Hong-bae Kim, 2019. "Regional preferences for the living environment and mobility of researchers and general workers: the case of Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 169-186, February.
   6. Bo Li & Qingfeng Cao & Muhammad Mohiuddin, 2020. "Factors Influencing the Settlement Intentions of Chinese Migrants in Cities: An Analysis of Air Quality and Higher Income Opportunity as Predictors," IJERPH, MDPI, vol. 17(20), pages 1-18, October.
   7. Talita Greyling & Stephanié Rossouw, 2017. "Non-Economic Quality of Life and Population Density in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 1051-1075, December.
      • Stephanié Rossouw & Talita Dalton-Greyling, 2016. "Non-Economic Quality of Life and Population Density in South Africa," Working Papers 640, Economic Research Southern Africa.
      • Talita Greyling & Stephanié Rossouw, 2016. "Non-Economic Quality of Life and Population Density in South Africa," Working Papers 2016-03, Auckland University of Technology, Department of Economics.
   8. Terry Gregory & A.M. Salomons & Ulrich Zierahn, 2018. "Racing With or Against the Machine?: Evidence from Europe," Working Papers 18-07, Utrecht School of Economics.
      • Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing with or against the machine? Evidence from Europe," ZEW Discussion Papers 16-053, ZEW - Leibniz Centre for European Economic Research.
      • Terry Gregory & A.M. Salomons & Ulrich Zierahn, 2016. "Racing With or Against the Machine? Evidence from Europe," Working Papers 16-05, Utrecht School of Economics.
      • Terry Gregory & Anna Salomons & Ulrich Zierahn, 2018. "Racing With or Against the Machine? Evidence from Europe," CESifo Working Paper Series 7247, CESifo.
      • Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2019. "Racing With or Against the Machine? Evidence from Europe," IZA Discussion Papers 12063, Institute of Labor Economics (IZA).
      • Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
   9. Raaj Kishore Biswas & Enamul Kabir & Hafiz T. A. Khan, 2019. "Causes of Urban Migration in Bangladesh: Evidence from the Urban Health Survey," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(4), pages 593-614, August.
   10. Özer İsmet Selçuk & Türk Umut, 2023. "How Does Quality of Life (QOL) Affect Attractiveness of Cities and Internal Migration in Turkey?," Economic Themes, Sciendo, vol. 61(1), pages 85-103, March.
   11. Sihong Xiong & Ya Wu & Shihai Wu & Fang Chen & Jianzhong Yan, 2020. "Determinants of migration decision-making for rural households: a case study in Chongqing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1623-1639, November.
   12. Beer, Andrew & Crommelin, Laura & Vij, Akshay & Dodson, Jago & Dühr, Stefanie & Pinnegar, Simon, 2022. "Growing Australia’s smaller cities to better manage population growth," SocArXiv 3rafw, Center for Open Science.
   13. Yanjiao Song & Nina Zhu & Feng Luo, 2022. "City Size and Permanent Settlement Intention: Evidence from Rural-Urban Migrants in China," IJERPH, MDPI, vol. 19(2), pages 1-18, January.
   14. Siv Schéele & Gunnar Andersson, 2018. "Municipality attraction and commuter mobility in urban Sweden: An analysis based on longitudinal population data," Urban Studies, Urban Studies Journal Limited, vol. 55(9), pages 1875-1903, July.
   15. Pascal Beckers & Sanne Boschman, 2019. "Residential choices of foreign highly skilled workers in the Netherlands and the role of neighbourhood and urban regional characteristics," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 760-777, March.
   16. Yongwang Cao & Xiong He & Chunshan Zhou, 2023. "Characteristics and Influencing Factors of Population Migration under Different Population Agglomeration Patterns—A Case Study of Urban Agglomeration in China," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
   17. Akira Igarashi, 2022. "How do initial migrants choose their locations? Interregional migration in Japan from 1899 to 1938," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1032-1047, September.
   18. Yanjiao Song & Chuanyong Zhang, 2020. "City size and housing purchase intention: Evidence from rural–urban migrants in China," Urban Studies, Urban Studies Journal Limited, vol. 57(9), pages 1866-1886, July.
   19. Lukas Felix Götzelmann & Ferdinand Mager & Kerstin Hennig, 2023. "Move, Stay, or Pay: The Impact of Land Prices on Migration Balances in Germany," International Real Estate Review, Global Social Science Institute, vol. 26(4), pages 519-547.
   20. Ye Seul Choi & Up Lim, 2015. "Effects of Regional Creative Milieu on Interregional Migration of the Highly Educated in Korea: Evidence from Hierarchical Cross-Classified Linear Modeling," Sustainability, MDPI, vol. 7(12), pages 1-18, December.
   21. Robert Lehmann & Wolfgang Nagl, 2019. "Explaining spatial patterns of foreign employment in Germany," Regional Studies, Taylor & Francis Journals, vol. 53(7), pages 991-1003, July.
       • Lehmann, Robert & Nagl, Wolfgang, 2018. "Explaining spatial patterns of foreign employment in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest Ar, pages 1-13.
       • Wolfgang Nagl & Robert Lehmann, 2015. "Distance is crucially important, at least for neighbors' foreign employment at the district level," ERSA conference papers ersa15p366, European Regional Science Association.
       • Robert Lehmann & Wolfgang Nagl, 2017. "Explaining Spatial Patterns of Foreign Employment in Germany," CESifo Working Paper Series 6356, CESifo.
   22. Cho, Cheol-Joo, 2017. "The displacement and attraction effects in interurban migration: An application of the input-output scheme to the case of large cities in Korea," Economics Discussion Papers 2017-49, Kiel Institute for the World Economy (IfW Kiel).
   23. Ramona Schmid, 2023. "Migration and wage inequality: a detailed analysis for German metropolitan and non-metropolitan regions [Migration und Lohnungleichheit: Eine detaillierte Analyse für Deutsche Metropol- und Nicht-M," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 147-201, April.
   24. Vij, Akshay & Ardeshiri, Ali & Li, Tiebei & Beer, Andrew & Crommelin, Laura, 2022. "Understanding what attracts new residents to smaller cities," SocArXiv fpxum, Center for Open Science.
   25. Michaela Fuchs & Antje Weyh, 2015. "Return migration to East Germany: Spatial patterns and the relevance for regional labor markets," ERSA conference papers ersa15p835, European Regional Science Association.
   26. Stefan Jestl & Roman Römisch, 2023. "Migration Drivers in Carbon-intensive Regions in the EU," wiiw Working Papers 236, The Vienna Institute for International Economic Studies, wiiw.
   27. Florian W. Bartholomae & Chang Woon Nam & Alina Schoenberg, 2017. "Urban Resurgence as a Consumer City: A Case Study for Weimar in Eastern Germany," CESifo Working Paper Series 6610, CESifo.
   28. Ilinca-Valentina Stoica & Antoni F. Tulla & Daniela Zamfir & Alexandru-Ionuț Petrișor, 2020. "Exploring the Urban Strength of Small Towns in Romania," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 843-875, December.
   29. Robert Knippschild & Constanze Zöllter, 2021. "Urban Regeneration between Cultural Heritage Preservation and Revitalization: Experiences with a Decision Support Tool in Eastern Germany," Land, MDPI, vol. 10(6), pages 1-12, May.
   30. María Gutiérrez-Portilla & Adolfo Maza & María Hierro, 2018. "Foreigners versus natives in Spain: different migration patterns? Any changes in the aftermath of the crisis?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 139-159, July.

9. Anja Rossen, 2012. "Konjunkturschlaglicht: Frühindikatoren: gute Vorlaufeigenschaften," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 92(8), pages 575-576, August.

   Cited by:

   1. Akalan, Rodi & Brink, Siegrun & Icks, Annette & Wolter, Hans-Jürgen, 2023. "Bedrohungen und Chancen frühzeitig erkennen: Entwicklung eines Früherkennungskonzepts," IfM-Materialien 303, Institut für Mittelstandsforschung (IfM) Bonn.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 27 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-GER: German Papers (13) 2015-01-14 2016-04-04 2020-06-08 2021-10-04 2021-10-04 2021-10-04 2021-10-04 2021-10-04 2021-10-11 2021-10-25 2021-11-08 2021-12-06 2022-07-25. Author is listed
2. NEP-EUR: Microeconomic European Issues (9) 2015-01-03 2016-06-04 2016-10-02 2016-10-30 2016-11-06 2018-02-19 2018-09-17 2018-10-08 2019-05-20. Author is listed
3. NEP-LAB: Labour Economics (5) 2015-01-03 2016-10-02 2016-11-06 2018-02-19 2019-05-20. Author is listed
4. NEP-LMA: Labor Markets - Supply, Demand, and Wages (5) 2015-01-03 2016-06-04 2016-10-30 2018-09-17 2018-10-08. Author is listed
5. NEP-GEO: Economic Geography (3) 2015-01-03 2018-02-19 2019-05-20
6. NEP-MIG: Economics of Human Migration (3) 2012-10-13 2015-01-03 2018-02-19
7. NEP-ETS: Econometric Time Series (2) 2011-11-21 2015-01-09
8. NEP-FOR: Forecasting (2) 2011-11-21 2015-01-09
9. NEP-GEN: Gender (2) 2016-11-06 2019-05-20
10. NEP-MAC: Macroeconomics (2) 2014-12-24 2015-01-03
11. NEP-URE: Urban and Real Estate Economics (2) 2015-01-03 2019-05-20
12. NEP-BEC: Business Economics (1) 2019-05-20
13. NEP-HRM: Human Capital and Human Resource Management (1) 2015-01-03
14. NEP-IAS: Insurance Economics (1) 2021-10-11
15. NEP-LTV: Unemployment, Inequality and Poverty (1) 2016-10-02
16. NEP-SEA: South East Asia (1) 2021-11-08

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Anja Rossen should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.