Economic Modelling at thirty-five: A retrospective bibliometric survey

TY - JOUR

T1 - Economic Modelling at thirty-five

T2 - A retrospective bibliometric survey

AU - Pattnaik, Debidutta

AU - Kumar, Satish

AU - Burton, Bruce

AU - Lim, Weng Marc

PY - 2022/2

Y1 - 2022/2

N2 - Economic modelling (EM) is a premier journal for policy-relevant economic models. However, so far, no retrospective studies exist for the journal. This study addresses this gap using a machine learning n-gram (bigram and trigram) analysis. The survey results find that the journal has contributed to 9517 topics, with 69 topics covered in at least 10 studies between 1984 and 2019. Through a co-occurrence analysis of bigram and trigram terms, this study reveals that the major topics in the journal converge to nine themes: international economics, development economics, regional and real estate economics, economic growth and development, financial economics, monetary economics, general economic equilibrium, international finance, and non-conventional finance and macroeconomics. This study concludes with key takeaways and suggestions for prospective authors intending to publish their best papers in EM.

AB - Economic modelling (EM) is a premier journal for policy-relevant economic models. However, so far, no retrospective studies exist for the journal. This study addresses this gap using a machine learning n-gram (bigram and trigram) analysis. The survey results find that the journal has contributed to 9517 topics, with 69 topics covered in at least 10 studies between 1984 and 2019. Through a co-occurrence analysis of bigram and trigram terms, this study reveals that the major topics in the journal converge to nine themes: international economics, development economics, regional and real estate economics, economic growth and development, financial economics, monetary economics, general economic equilibrium, international finance, and non-conventional finance and macroeconomics. This study concludes with key takeaways and suggestions for prospective authors intending to publish their best papers in EM.

KW - Economic Modelling

KW - bibliometrics

KW - machine learning

KW - n-gram analysis

KW - co-occurrence analysis

KW - N-gram analysis

KW - Bibliometrics

KW - Machine learning

KW - Economic modelling

KW - Co-occurrence analysis

UR - https://www.scopus.com/pages/publications/85120647749

U2 - 10.1016/j.econmod.2021.105712

DO - 10.1016/j.econmod.2021.105712

M3 - Article

SN - 0264-9993

VL - 107

JO - Economic Modelling

JF - Economic Modelling

M1 - 105712

ER -