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Chaleampong Kongcharoen

Personal Details

First Name:Chaleampong
Middle Name:
Last Name:Kongcharoen
Suffix:
RePEc Short-ID:pko424
[This author has chosen not to make the email address public]
https://www.chaleampongkongcharoen.com
2 Prachan Rd. Pranakorn Bangkok 10200 THAILAND
66-(0)2-613-2453
Terminal Degree:2010 Economics Department; Michigan State University (from RePEc Genealogy)

Affiliation

Faculty of Economics
Thammasat University

Bangkok, Thailand
http://www.econ.tu.ac.th/
RePEc:edi:fectuth (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Sukampon Chongwilaikasaem & Chaleampong Kongcharoen & Nakarin Amarase, 2022. "Relationship between Conflict and Labor Market in the Deep South of Thailand," PIER Discussion Papers 193, Puey Ungphakorn Institute for Economic Research.
  2. Lisa D. Cook & Chaleampong Kongcharoen, 2010. "The Idea Gap in Pink and Black," NBER Working Papers 16331, National Bureau of Economic Research, Inc.

Articles

  1. Baillie, Richard T. & Kongcharoen, Chaleampong & Kapetanios, George, 2012. "Prediction from ARFIMA models: Comparisons between MLE and semiparametric estimation procedures," International Journal of Forecasting, Elsevier, vol. 28(1), pages 46-53.

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. Lisa D. Cook & Chaleampong Kongcharoen, 2010. "The Idea Gap in Pink and Black," NBER Working Papers 16331, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bell, Alex & Chetty, Raj & Jaravel, Xavier & Petkova, Neviana & Van Reenen, John, 2019. "Who becomes an inventor in America? The importance of exposure to innovation," LSE Research Online Documents on Economics 101434, London School of Economics and Political Science, LSE Library.
    2. Desai, Pranav, 2021. "Essays in corporate finance and innovation," Other publications TiSEM 1ef5fdc6-9c52-43df-be1a-d, Tilburg University, School of Economics and Management.
    3. Albert N. Link & Martijn Hasselt, 2020. "Exploring the impact of R&D on patenting activity in small women-owned and minority-owned entrepreneurial firms," Small Business Economics, Springer, vol. 54(4), pages 1061-1066, April.
    4. Hunt, Jennifer & Garant, Jean-Philippe & Herman, Hannah & Munroe, David, 2012. "Why Don't Women Patent?," CEPR Discussion Papers 9185, C.E.P.R. Discussion Papers.
    5. Van Reenen, John, 2021. "Innovation and human capital policy," LSE Research Online Documents on Economics 121867, London School of Economics and Political Science, LSE Library.
    6. Merouani, Youssouf & Perrin, Faustine, 2024. "Women Inventors: On the Origins of the Gender Patenting Gap," Lund Papers in Economic History 255, Lund University, Department of Economic History.
    7. Sara Amoroso & Albert N. Link, 2021. "Intellectual property protection mechanisms and the characteristics of founding teams," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7329-7350, September.
    8. Julian Kolev & Yuly Fuentes-Medel & Fiona Murray, 2019. "Is Blinded Review Enough? How Gendered Outcomes Arise Even Under Anonymous Evaluation," NBER Working Papers 25759, National Bureau of Economic Research, Inc.
    9. Kevin A. Bryan & Heidi L. Williams, 2021. "Innovation: Market Failures and Public Policies," NBER Working Papers 29173, National Bureau of Economic Research, Inc.
    10. Teichgraeber, Andreas & Van Reenen, John, 2022. "A policy toolkit to increase research and innovation in the European Union," LSE Research Online Documents on Economics 117801, London School of Economics and Political Science, LSE Library.
    11. AMOROSO Sara & AUDRETSCH David, 2020. "The role of gender in linking external sources of knowledge and R&D intensity," JRC Working Papers on Corporate R&D and Innovation 2020-05, Joint Research Centre.
    12. Mercedes Delgado & Fiona Murray, 2021. "Mapping the Regions, Organizations and Individuals That Drive Inclusion in the Innovation Economy," NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 1, pages 67-101, National Bureau of Economic Research, Inc.
    13. Lisa D. Cook & Janet Gerson & Jennifer Kuan, 2021. "Closing the Innovation Gap in Pink and Black," NBER Working Papers 29354, National Bureau of Economic Research, Inc.
    14. Hunt, Jennifer & Garant, Jean-Philippe & Herman, Hannah & Munroe, David J., 2013. "Why are women underrepresented amongst patentees?," Research Policy, Elsevier, vol. 42(4), pages 831-843.
    15. Sarada, Sarada & Andrews, Michael J. & Ziebarth, Nicolas L., 2019. "Changes in the demographics of American inventors, 1870–1940," Explorations in Economic History, Elsevier, vol. 74(C).

Articles

  1. Baillie, Richard T. & Kongcharoen, Chaleampong & Kapetanios, George, 2012. "Prediction from ARFIMA models: Comparisons between MLE and semiparametric estimation procedures," International Journal of Forecasting, Elsevier, vol. 28(1), pages 46-53.

    Cited by:

    1. Geoffrey Ngene & Charles Lambert & Ali Darrat, 2015. "Testing Long Memory in the Presence of Structural Breaks: An Application to Regional and National Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 465-483, May.
    2. Yuan, Xiaohui & Tan, Qingxiong & Lei, Xiaohui & Yuan, Yanbin & Wu, Xiaotao, 2017. "Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine," Energy, Elsevier, vol. 129(C), pages 122-137.
    3. J. Eduardo Vera-Vald'es, 2017. "On Long Memory Origins and Forecast Horizons," Papers 1712.08057, arXiv.org.
    4. Pietro Murialdo & Linda Ponta & Anna Carbone, 2020. "Long-Range Dependence in Financial Markets: a Moving Average Cluster Entropy Approach," Papers 2004.14736, arXiv.org.
    5. Papailias, Fotis & Fruet Dias, Gustavo, 2015. "Forecasting long memory series subject to structural change: A two-stage approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1056-1066.
    6. Lyócsa, Štefan & Molnár, Peter & Výrost, Tomáš, 2021. "Stock market volatility forecasting: Do we need high-frequency data?," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1092-1110.
    7. Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.

More information

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Co-authorship network on CollEc

Featured entries

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  1. Thai Economists

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