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Taxation and economic growth in the European Union : a quantile approach

Blanco Angel, Francisco; Delgado, Francisco J. - In: Revista de economía mundial : REM ; revista de la … 51 (2019), pp. 79-100

Persistent link: https://www.econbiz.de/10012159045

Tax evolution in the EU : a convergence club approach

Delgado, Francisco J.; Presno, Maria J. - In: Panoeconomicus 64 (2017) 5, pp. 623-643

Persistent link: https://www.econbiz.de/10011795413

Convergence of fiscal pressure in the EU : a time series approach

Delgado, Francisco J.; Presno, Maria Jose - In: Applied economics 43 (2011) 28/30, pp. 4257-4267

Persistent link: https://www.econbiz.de/10009388220

Club convergence and factors of income inequality in the European Union

Suárez-Arbesú, Claudia; Apergēs, Nikolaos; Delgado, … - In: International journal of finance & economics : IJFE 28 (2023) 4, pp. 3654-3666

Persistent link: https://www.econbiz.de/10014429160

On the determinants of fiscal decentralization : evidence from the EU

Delgado, Francisco J. - In: Amfiteatru economic : an economic and business research … 23 (2021) 56, pp. 206-220

We empirically analyze the determinants of the fiscal decentralization in the European Union. Our approach consists on a quantile regression for the period 2005-2017. The results show the differences in the impact of explanatory variables on the fiscal decentralization by quantiles....

Persistent link: https://www.econbiz.de/10012821280

R&D expenditure in the EU : convergence or divergence?

Blanco, Francisco A.; Delgado, Francisco J.; Presno, … - In: Economic research 33 (2020) 1,2, pp. 1685-1710

Persistent link: https://www.econbiz.de/10013191128

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

Delgado, Francisco J.; Rodríguez Fernández, Elena; … - In: Financial innovation : FIN 9 (2023) 1, pp. 1-25

In this study, we investigate the relationship between tax avoidance and earnings management in the largest five European Union economies by using artificial neural network regressions. This methodology allows us to deal with nonlinearities detected in the data, which is the principal...

Persistent link: https://www.econbiz.de/10014288925