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A decade for the books: Bibliometric analysis of Economics Letters

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  • Horvatinović, Tin
  • Matošec, Marina

Abstract

This paper conducts a ten-year bibliometric analysis of Economics Letters journal to uncover the emerging trends in economic research, as well as their specifics. The results of the co-citation and co-word analysis provide information on the most popular references, scholarly approved journals and trendiest economics fields. For example, monetary policy is a highly investigated field, while panel data analysis and experiments are the most used statistical methods. These results could serve scholars as a guide by putting their scientific work in the current perspective and aiding them to discover future research paths.

Suggested Citation

  • Horvatinović, Tin & Matošec, Marina, 2022. "A decade for the books: Bibliometric analysis of Economics Letters," Economics Letters, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:ecolet:v:216:y:2022:i:c:s0165176522001513
    DOI: 10.1016/j.econlet.2022.110542
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    References listed on IDEAS

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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. H. Kent Baker & Satish Kumar & Nitesh Pandey, 2021. "Thirty years of Small Business Economics: a bibliometric overview," Small Business Economics, Springer, vol. 56(1), pages 487-517, January.
    3. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    4. Alexandre Truc & François Claveau & Olivier Santerre, 2021. "Economic methodology: a bibliometric perspective," Journal of Economic Methodology, Taylor & Francis Journals, vol. 28(1), pages 67-78, January.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Daniel Fonseca Costa & Francisval de Melo Carvalho & Bruno César de Melo Moreira, 2019. "Behavioral Economics And Behavioral Finance: A Bibliometric Analysis Of The Scientific Fields," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 3-24, February.
    7. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    8. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    9. Nirvikar Singh & Xavier Vives, 1984. "Price and Quantity Competition in a Differentiated Duopoly," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 546-554, Winter.
    10. Hoffman, Donna L & Holbrook, Morris B, 1993. "The Intellectual Structure of Consumer Research: A Bibliometric Study of Author Cocitations in the First 15 Years of the Journal of Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(4), pages 505-517, March.
    11. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    12. H. Kent Baker & Satish Kumar & Nitesh Pandey, 2021. "Correction to: Thirty years of small business economics: a bibliometric overview," Small Business Economics, Springer, vol. 56(1), pages 519-520, January.
    13. Guangyue Wei, 2019. "A Bibliometric Analysis Of The Top Five Economics Journals During 2012–2016," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 25-59, February.
    14. Donthu, Naveen & Kumar, Satish & Pattnaik, Debidutta, 2020. "Forty-five years of Journal of Business Research: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 1-14.
    15. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Nielsen, Steffen Bohni & Lemire, Sebastian & Bourgeois, Isabelle & Fierro, Leslie A., 2023. "Mapping the evaluation capacity building landscape: A bibliometric analysis of scholarly communities and themes," Evaluation and Program Planning, Elsevier, vol. 99(C).
    2. Rai, Varun Kumar & Bruna, Maria Giuseppina & Hunjra, Ahmed Imran & Pandey, Dharen Kumar & Lal, Madan, 2024. "COVID-19 literature in Elsevier finance journal ecosystem," Economics Letters, Elsevier, vol. 243(C).
    3. Konstantina Ragazou & Ioannis Passas & Georgios Sklavos, 2022. "Investigating the Strategic Role of Digital Transformation Path of SMEs in the Era of COVID-19: A Bibliometric Analysis Using R," Sustainability, MDPI, vol. 14(18), pages 1-19, September.

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    More about this item

    Keywords

    Bibliometric; Economics Letters; VOS viewer; Citation;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists

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