Questo rapporto presenta gli ultimi dati comparabili a livello internazionale sulla deprivazione materiale e sulla povertà tra I bambini e gli adolescenti. Insieme, queste due diverse misure offrono un'immagine completa ed esaustiva delle condizioni in cui vivono bambini e adolescenti in alcuni...

While intellectual property rights (IPRs) are the key drivers of economic performance in R&D based growth models, they have not been fully explored in empirical development studies. We introduce IPRs to this literature, using Two-Stage Least Squares Bayesian Model Averaging to address...

Many models in economics involve probabilistic choices where each decision-maker selects the best alternative from a finite set. Viewing the value of each alternative as a random variable, the analyst is then interested in the choice probabilities, that is, the probability for an alternative to...

We propose a novel method to estimate dynamic equilibrium models with stochastic volatility. First, we characterize the properties of the solution to this class of models. Second, we take advantage of the results about the structure of the solution to build a sequential Monte Carlo algorithm to...

Statistical models usually rely on the assumption that the shape of the distribution is fixed and that it is only the mean and volatility that varies. Although the fitting of heavy tail distributions has become easier due to computational advances, the fitting of the appropriate heavy tail...

This unorthodox book derives and tests a simple theory of economic time series using several well-known empirical economic puzzles, from stock market bubbles to the failure of conventional economic theory, to explain low levels of inflation and unemployment in the US.

Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances in the area including contributions covering cross-sectional studies of income distribution and discrete choice models, time series models of exchange rate...

Edward E. Leamer’s creative and influential essays on the separation of robust from fragile inferences are collected together in Sturdy Econometrics. The econometric topics discussed include the choice of variables, choice of error process, measurement errors, simultaneity, the partial...

This title features work on variance components model, its extensions and applications, estimation of variances, dynamic models, instrumental variable estimators and random coefficient models. The second volume covers errors in variables and incomplete data, specification tests, limited...