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Data Types and Empirical Methods in 27 Top Economics Journals

Qu Feng et al.

Singapore Economic Review2026https://doi.org/10.1142/s0217590826500128article
ABDC B
Weight
0.50

What the paper says

This paper examines the relevance and frequency of econometric methods in 3,125 empirical papers published in 27 top economics journals during 2014-2018. There are three major findings. First, 93% of these empirical papers use microdata, while only 7% and 4% of them employ macrodata and time series data, respectively. Second, two-stage least squares and difference-in-differences are the two leading identification strategies, accounting for nearly half and a quarter, respectively, in empirical studies using microdata. Third, there is a clear divide in empirical studies using microdata and macrodata in terms of data collection, identification strategies and econometric methods.

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https://doi.org/https://doi.org/10.1142/s0217590826500128

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@article{qu2026,
  title        = {{Data Types and Empirical Methods in 27 Top Economics Journals}},
  author       = {Qu Feng et al.},
  journal      = {Singapore Economic Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1142/s0217590826500128},
}

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Data Types and Empirical Methods in 27 Top Economics Journals

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.