Tax avoidance and earnings management: a neural network approach for the largest European economies

نویسندگان

چکیده

Abstract In this study, we investigate the relationship between tax avoidance and earnings management in largest five European Union economies by using artificial neural network regressions. This methodology allows us to deal with nonlinearities detected data, which is principal contribution previous literature. We analyzed Compustat data for Germany, United Kingdom, France, Italy, Spain 2006–2015 period, focusing on discretionary accruals. considered three measures, two based effective rate (ETR) one book-tax differences (BTD). Our results indicate presence of nonlinear patterns a positive, statistically significant accruals both ETR indicators implying that when companies resort management, larger taxable income—and thus higher lesser avoidance– would ensue. Hence, as also highlighted fact do not appear affect BTD, our evidence does suggest are exploiting manipulation reduce their payments; thus, gap accounting taxation seems largely unaffected management.

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ژورنال

عنوان ژورنال: Financial Innovation

سال: 2023

ISSN: ['2199-4730']

DOI: https://doi.org/10.1186/s40854-022-00424-8