IDEAS home Printed from https://ideas.repec.org/f/pca1239.html
   My authors  Follow this author

Colin Caines

Personal Details

First Name:Colin
Middle Name:
Last Name:Caines
Suffix:
RePEc Short-ID:pca1239
https://www.federalreserve.gov/econresdata/colin-c-caines.htm

Affiliation

Federal Reserve Board (Board of Governors of the Federal Reserve System)

Washington, District of Columbia (United States)
http://www.federalreserve.gov/
RePEc:edi:frbgvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Colin Caines & Fabian Winkler, 2019. "Asset Price Beliefs and Optimal Monetary Policy," 2019 Meeting Papers 713, Society for Economic Dynamics.
  2. 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.).
  3. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," Working Papers tecipa-576, University of Toronto, Department of Economics.
  4. Colin C. Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Does Automation Drive the Labor Market?," IFDP Notes 2017-07-28, Board of Governors of the Federal Reserve System (U.S.).
  5. 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.).
  6. Amartya Lahiri & Colin Caines, 2013. "Explaining World Savings," 2013 Meeting Papers 539, Society for Economic Dynamics.

Articles

  1. Caines, Colin & Winkler, Fabian, 2021. "Asset price beliefs and optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 53-67.
  2. 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).
  3. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 298-319, April.

Software components

  1. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Code and data files for "Complex-Task Biased Technological Change and the Labor Market"," Computer Codes 16-100, Review of Economic Dynamics.

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. 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. 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.
    3. 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. 8(14), pages 84-97, May.
    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).

  2. 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. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    2. 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.).
    3. 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.
    4. Katsuhiro Oshima, 2019. "Heterogeneous Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1013, Kyoto University, Institute of Economic Research.
    5. Katsuhiro Oshima, 2021. "Heterogeneous beliefs, monetary policy, and stock price volatility," Annals of Finance, Springer, vol. 17(1), pages 79-125, March.
    6. Katsuhiro Oshima, 2019. "Subjective Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1012, Kyoto University, Institute of Economic Research.

  3. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," Working Papers tecipa-576, University of Toronto, Department of Economics.

    Cited by:

    1. James J. Heckman & Tomas Jagelka & Tim Kautz, 2019. "Some Contributions of Economics to the Study of Personality," Working Papers 2019-069, Human Capital and Economic Opportunity Working Group.
    2. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
    3. 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.
    4. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2022. "Workplace Skills as Regional Capabilities: Relatedness, Complexity and Industrial Diversification of Regions," Papers in Evolutionary Economic Geography (PEEG) 2207, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2022.
    5. Florent Bordot & Andre Lorentz, 2021. "Automation and labor market polarization in an evolutionary model with heterogeneous workers," LEM Papers Series 2021/32, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. 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.
    7. Matthias Haslberger, 2022. "Rethinking the measurement of occupational task content," The Economic and Labour Relations Review, , vol. 33(1), pages 178-199, March.
    8. Bachmann, Ronald & Stepanyan, Gayane, 2020. "It's a Woman's World? Occupational Structure and the Rise of Female Employment in Germany," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224626, Verein für Socialpolitik / German Economic Association.
    9. Jason Deegan & Tom Broekel & Rune Dahl Fitjar, 2021. "Searching through the Haystack: The relatedness and complexity of priorities in smart specialisation strategies," Papers in Evolutionary Economic Geography (PEEG) 2123, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2021.
    10. 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.
    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," GLO Discussion Paper Series 397, Global Labor Organization (GLO).
    12. Daniel Susskind, 2019. "Re-thinking the capabilities of technology in economics," Economics Bulletin, AccessEcon, vol. 39(1), pages 280-288.
    13. 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.
    14. Lance Lochner & Youngmin Park & Youngki Shin, 2018. "Wage Dynamics and Returns to Unobserved Skill," NBER Working Papers 24220, National Bureau of Economic Research, Inc.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Lo Turco, Alessia & Maggioni, Daniela, 2022. "The knowledge and skill content of production complexity," Research Policy, Elsevier, vol. 51(8).
    21. 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).

  4. 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. Pauline Gandré, 2020. "Learning, house prices and macro-financial linkages," Working Papers hal-04159701, HAL.
    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. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    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.).

  5. 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.

Articles

  1. Caines, Colin & Winkler, Fabian, 2021. "Asset price beliefs and optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 53-67.
    See citations under working paper version above.
  2. 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). See citations under working paper version above.
  3. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 298-319, April.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.

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 6 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-MAC: Macroeconomics (5) 2016-10-23 2017-02-05 2017-02-26 2017-09-17 2018-09-03. Author is listed
  2. NEP-DGE: Dynamic General Equilibrium (3) 2017-09-17 2018-09-03 2019-10-14
  3. NEP-CBA: Central Banking (2) 2018-09-03 2019-10-14
  4. NEP-LMA: Labor Markets - Supply, Demand, & Wages (2) 2017-02-05 2017-02-26
  5. NEP-MON: Monetary Economics (2) 2018-09-03 2019-10-14
  6. NEP-URE: Urban & Real Estate Economics (2) 2016-10-23 2017-09-17

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, Colin Caines 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.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.