Introduction to the Special Issue on “Revisiting convergenceâ€

Editorial Note

In this note we propose the artificial neural networks for measuring efficiency as a complementary tool to the common techniques of the efficiency literature. In the application to the public sector we find that the neural network allows to conclude more robust results to rank decision-making units.

After the reforms introduced in Spanish personal income tax (IRPF) in 1998, foral and common territory tax structures present differentiated structures. These normative differences are reviewed in the first part of the paper. Reforms are analysed by an static microsimulation using a sample from...

Here artificial neural networks (ANNs) are employed for efficiency purposes. First, the main features of ANNs are presented. Then, common techniques of the efficiency literature are reviewed: parametric (deterministic and stochastic) and non-parametric (Data Envelopment Analysis [DEA] and Free...

In this note we propose the artificial neural networks for measuring efficiency as a complementary tool to the common techniques of the efficiency literature. In the application to the public sector we find that the neural network allows to conclude more robust results to rank decision-making units.

This paper studies the determinants of local tax rates. For the two main local taxes in Spain - the property tax and the motor vehicle tax - we test the existence of tax mimicking, yardstick competition and political trends in a sample of 2,713 municipalities. Using different spatial models, the...