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Colin Caines on RePEc/IDEAS

  • ️Fri Jan 17 2025

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.

  • Colin Caines & Fabian Winkler, 2019. "Asset Price Beliefs and Optimal Monetary Policy," 2019 Meeting Papers 713, Society for Economic Dynamics.

    Cited by:

    1. Adam, Klaus & Woodford, Michael, 2021. "Robustly optimal monetary policy in a new Keynesian model with housing," Journal of Economic Theory, Elsevier, vol. 198(C).
    2. Ioana Manuela Mîndrican, 2023. "Monetary policy measures and strategies in the context of the adoption of the euro currency," Journal of Financial Studies, Institute of Financial Studies, vol. 14(8), pages 84-97, May.
    3. Samuel Federico Kaplan & Arin Kerim Peren & Polyzos Efstathios & Spagnolo Nicola, 2022. "Stock Market Responses to Monetary Policy Shocks: Universal Firm-Level Evidence," Asociación Argentina de Economía Política: Working Papers 4571, Asociación Argentina de Economía Política.
    4. Polyzos, Efstathios, 2022. "Examining the asymmetric impact of macroeconomic policy in the UAE: Evidence from quartile impulse responses and machine learning," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    5. Elizabeth Bersson & Patrick Hürtgen & Matthias Paustian, 2024. "Expectations Formation, Sticky Prices, and the ZLB," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 365-393, March.

  • Colin C. Caines & Fabian Winkler, 2018. "Asset Price Learning and Optimal Monetary Policy," International Finance Discussion Papers 1236, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Caines, Colin, 2020. "Can learning explain boom-bust cycles in asset prices? An application to the US housing boom," Journal of Macroeconomics, Elsevier, vol. 66(C).
    2. Klaus Adam & Oliver Pfäuti & Timo Reinelt, 2020. "Falling Natural Rates, Rising Housing Volatility and the Optimal Inflation Target," CRC TR 224 Discussion Paper Series crctr224_2020_235, University of Bonn and University of Mannheim, Germany.
    3. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    4. Katsuhiro Oshima, 2021. "Heterogeneous beliefs, monetary policy, and stock price volatility," Annals of Finance, Springer, vol. 17(1), pages 79-125, March.
    5. Katsuhiro Oshima, 2019. "Heterogeneous Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1013, Kyoto University, Institute of Economic Research.
    6. Katsuhiro Oshima, 2019. "Subjective Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1012, Kyoto University, Institute of Economic Research.

  • Colin C. Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," International Finance Discussion Papers 1192, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Bachmann, Ronald & Stepanyan, Gayane, 2020. "It's a woman's world? Occupational structure and the rise of female employment in Germany," Ruhr Economic Papers 889, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Lance Lochner & Youngmin Park & Youngki Shin, 2017. "The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data," Staff Working Papers 17-61, Bank of Canada.
    3. David Hope & Julian Limberg & Nina Weber, 2023. "Technological Change, Task Complexity, and Preferences for Redistribution," ifo Working Paper Series 398, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2024. "Workplace skills as regional capabilities: relatedness, complexity and industrial diversification of regions," Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 469-489, March.
    5. María Ladrón de Guevara Rodríguez & Oscar David Marcenaro-Gutierrez & Luis Alejandro Lopez-Agudo, 2023. "On the Gender Gap of Soft-Skills: the Spanish Case," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 167-197, February.
    6. Vaaramo, Mikko & Huikari, Sanna & Ala-Mursula, Leena & Miettunen, Jouko & Korhonen, Marko, 2024. "Temperament traits and economic preferences predict occupational choice beyond human capital variables," Labour Economics, Elsevier, vol. 90(C).
    7. Heckman, James J. & Jagelka, Tomáš & Kautz, Tim, 2019. "Some Contributions of Economics to the Study of Personality," IZA Discussion Papers 12753, Institute of Labor Economics (IZA).
    8. Reijnders, Laurie S.M. & de Vries, Gaaitzen J., 2018. "Technology, offshoring and the rise of non-routine jobs," Journal of Development Economics, Elsevier, vol. 135(C), pages 412-432.
    9. Cecilia García-Peñalosa & Fabien Petit & Tanguy van Ypersele, 2023. "Can workers still climb the social ladder as middling jobs become scarce? Evidence from two British cohorts," Post-Print hal-04126836, HAL.
    10. Daniel Susskind, 2019. "Re-thinking the capabilities of technology in economics," Economics Bulletin, AccessEcon, vol. 39(1), pages 280-288.
    11. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Matthias Haslberger, 2022. "Rethinking the measurement of occupational task content," The Economic and Labour Relations Review, , vol. 33(1), pages 178-199, March.
    13. Jason Deegan & Tom Broekel & Rune Dahl Fitjar, 2021. "Searching through the Haystack:The Relatedness and Complexity of Priorities in Smart Specialization Strategies," Economic Geography, Taylor & Francis Journals, vol. 97(5), pages 497-520, October.
    14. Lo Turco, Alessia & Maggioni, Daniela, 2022. "The knowledge and skill content of production complexity," Research Policy, Elsevier, vol. 51(8).
    15. Laura S. Zilian & Stella S. Zilian & Georg Jäger, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
    16. Tom Broekel & Rune Dahl Fitjar & Silje Haus-Reve, 2021. "The roles of diversity, complexity, and relatedness in regional development – What does the occupational perspective add?," Papers in Evolutionary Economic Geography (PEEG) 2135, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2021.
    17. Florent Bordot & André Lorentz, 2021. "Automation and labor market polarization in an evolutionary model with heterogeneous workers," Working Papers of BETA 2021-39, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    18. Matthias Haslberger, 2021. "Routine-Biased Technological Change Does Not Always Lead to Polarisation: Evidence from 10 OECD Countries, 1995-2013," LIS Working papers 814, LIS Cross-National Data Center in Luxembourg.
    19. Kolade, Oluwaseun & Owoseni, Adebowale, 2022. "Employment 5.0: The work of the future and the future of work," Technology in Society, Elsevier, vol. 71(C).
    20. Nicolas A. Roys & Christopher R. Taber, 2019. "Skill Prices, Occupations, and Changes in the Wage Structure for Low Skilled Men," NBER Working Papers 26453, National Bureau of Economic Research, Inc.
    21. Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2021. "Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy," Discussion Paper series in Regional Science & Economic Geography 2021-07, Gran Sasso Science Institute, Social Sciences, revised May 2021.
    22. Manuel A. Hidalgo-Pérez & Benedetto Molinari, 2022. "The effect of early automation on the wage distribution with endogenous occupational choices," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 1055-1082, October.

  • Colin C. Caines, 2016. "Can Learning Explain Boom-Bust Cycles In Asset Prices? An Application to the US Housing Boom," International Finance Discussion Papers 1181, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Margaret Jacobson, 2019. "Beliefs, Aggregate Risk, and the U.S. Housing Boom," 2019 Meeting Papers 1549, Society for Economic Dynamics.
    2. Daniel Tortorice, 2015. "Long Run Expectations, Learning and the U.S. Housing Market," Working Papers 85, Brandeis University, Department of Economics and International Business School.
    3. Caines, Colin & Winkler, Fabian, 2021. "Asset price beliefs and optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 53-67.
    4. Pauline Gandré, 2020. "Learning, house prices and macro-financial linkages," Working Papers hal-04159701, HAL.
    5. Colin C. Caines & Fabian Winkler, 2018. "Asset Price Learning and Optimal Monetary Policy," International Finance Discussion Papers 1236, Board of Governors of the Federal Reserve System (U.S.).

  • Amartya Lahiri & Colin Caines, 2013. "Explaining World Savings," 2013 Meeting Papers 539, Society for Economic Dynamics.

    Cited by:

    1. Andrés Rius & Carolina Román, 2018. "Countries in the hamster wheel?: Nurkse-Duesenberry demonstration effects and the determinants of savings," Documentos de Trabajo (working papers) 18-11, Instituto de Economía - IECON.