The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...

Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...

This paper considers the nature and the distribution of trade and FDI effects of a potential enlargement of the European Monetary Union (EMU) to the 10 countries that obtained EU membership in 2004. One-way and two-way error component gravity models are estimated using a data set of unbalanced...

This paper uses micro data from four OECD countries (the United States, Spain, Italy, and the Netherlands), to assess the determinants of household debt holding and to investigate whether or not credit constraints are important for household debt holding. We extend the existing literature in...

We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...

Variable rate savings accounts have two main features. The client rate is variable and deposits can be invested and withdrawn at any time. However, customer behaviour is not fully rational and actions are often performed with a delay. This paper focusses on measuring the interest rate risk of...

We propose procedures for estimating the time-dependent transition matrices for the general class of finite nonhomogeneous continuous-time semi-Markov processes. We prove the existence and uniqueness of solutions for the system of Volterra integral equations defining the transition matrices,...

We propose a novel econometric model for estimating and forecasting cross-sections of time-varying conditional default probabilities. The model captures the systematic variation in corporate default counts across e.g. rating and industry groups by using dynamic factors from a large panel of...

This paper concerns estimating parameters in a high-dimensional dynamic factor

We study risk behavior of Danish self-employed entrepreneurs, whose income risk may be driven by both exogenous factors and effort choice (moral hazard). Partial insurance is available through voluntary unemployment insurance (UI). Additional incentives to sign insurance contracts stem from a...