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This paper investigates the efficiency of the public sector in a sense of public performance and expenditures. For 23 …, security and infrastructure. We use several efficiency techniques (FDH, order-m) and investigate input- and output …-oriented efficiency of the public sector. We find that countries with small public sectors tend to be more efficient no matter which …
Persistent link: https://www.econbiz.de/10011810896
pending question whether efficiency in the provision of public goods and services is affected by strategic behavior. I examine … how electoral cycles influence local government efficiency by using OLS fixed effects, event study, and instrumental … variable estimations in a large balanced panel of around 2,000 municipalities in the German state of Bavaria. Cost efficiency …
Persistent link: https://www.econbiz.de/10012663286
. First, we estimate efficiency scores by the Data Envelopment Analysis (DEA) approach. Second, a Fractional Probit model is …Lately, questionings have emerged on how public resources are managed. This work calculates the technical efficiency of … municipalities in Chile, with special emphasis on the political factors that drive efficiency in the management of local resources …
Persistent link: https://www.econbiz.de/10014486148
We assess the relative efficiency of local municipalities using Data Envelopment Analysis and parametric analysis. As …. In a second stage efficiency scores are explained by means of a Tobit analysis with a set of relevant explanatory socio …
Persistent link: https://www.econbiz.de/10012773604
This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...
Persistent link: https://www.econbiz.de/10015185208
This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...
Persistent link: https://www.econbiz.de/10015199522
This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...
Persistent link: https://www.econbiz.de/10011995010
This article aims to identify the most relevant variables that allow through a neural network model (RNA), with supervised learning, in a kind of error correction and feedforward perceptron multilayer architecture to achieve the best predictors of low risk, in the process of microcredit....
Persistent link: https://www.econbiz.de/10009664397
The paper contributes to the rare literature modeling term structure of crude oil markets. We explain term structure of crude oil prices using dynamic Nelson-Siegel model, and propose to forecast them with the generalized regression framework based on neural networks. The newly proposed...
Persistent link: https://www.econbiz.de/10011378719
This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...
Persistent link: https://www.econbiz.de/10011867546