Using neural networks, the present study replicates previous results on the prediction of student dropout obtained with decision trees and logistic regressions. For this purpose, multilayer perceptrons are trained on the same data as in the initial study. It is shown that neural networks lead to...

We develop a regime switching vector autoregression where artificial neural networks drive time variation in the coefficients of the conditional mean of the endogenous variables and the variance covariance matrix of the disturbances. The model is equipped with a stability constraint to ensure...

Envelopment is an effective form of market entry that facilitates competition among platforms. Nevertheless, many commentators have focused on the anticompetitive potential of envelopment, and some have argued for regulation of platforms because of that concern. These calls for regulation are...

We study the question whether a holder of standard essential patents (SEPs) should be allowed to choose the level in the value chain at which to offer a FRAND license to its SEPs. We give a pos-itive answer to this question for two reasons. First, the SEP holder and the social planner tend to...

One of the core indicators in the field of scientometrics is the number of papers published by a unit within a given period. However, such indicators can only be assessed properly by considering the unit's available resources. When evaluating the efficiency of institutions worldwide, the problem...

This paper attempts to identify the effect of fiscal decentralization on public sector efficiency (PSE). We employ data envelopment analysis on a panel of 21 OECD countries over the period 1970-2000 to construct two alternative PSE indicators that reflect the governmental goals of economic...

The desirability for production efficiency is re-examined in this study, where agents choose occupation based on lifetime income net of tuition costs. Efficient revenue raising implies that the government should trade off efficiency in production for efficiency in intertemporal consumption, as...

We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...

While traditional empirical models using determinants like size and trade costs are able to predict RTA formation reasonably well, we demonstrate that allowing for machine detected non-linear patterns helps to improve the predictive power of RTA formation substantially. We employ machine...