In this tutorial we introduce recurrent neural networks (RNNs), and we describe the two most popular RNN architectures. These are the long short-term memory (LSTM) network and gated recurrent unit (GRU) network. Their common field of application is time series modeling, and we demonstrate their...

Despite similar levels of per capita income, education and technology, the development of labour income shares in OECD countries has displayed different patterns since 1960. The paper examines the role of demography in this regard. We first use a standard overlapping generations model to derive...

This paper explores the possible presence of a causal relationship from income to population. With this aim, US data at different geographical levels have been analyzed using a dynamic panel data estimation framework. The results obtained suggest that the more dissagregated the data the stronger...

Behavioral reactions to terrorism may be displayed in different ways. While some individuals react by holding back on their financial and charitable activities following stressful events, others may express more generosity by increasing their giving due to solidarity and empathy with the...

We investigate the association between age and medical spending in the U.S. using data from the Medical Expenditure Panel Survey (MEPS). We estimate a partially linear seminonparametric model and construct "pure" life-cycle profiles of health spending simultaneously controlling for time effects...

In this paper we construct life-cycle profiles of U.S. health care spending using data from the Medical Expenditure Panel Survey (MEPS). We separate pure age effects on health expenditure from time effects (i.e. productivity effects, business cycle effects, etc.) and cohort effects (i.e. initial...

This paper assesses whether the sensitivity of bilateral trade volumes to various trade cost factors is constant or varies across countries. It utilizes a random coeffcients model and analyses a cross-sectional sample of bilateral trade data for 96 countries in 2005. We expect the elasticity of...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed initial conditions problem, as well as the...