This paper introduces a novel approach for dealing with the curse of dimensionality in thecase of large linear dynamic systems. Restrictions on the coefficients of an unrestricted VARare proposed that are binding only in a limit as the number of endogenous variables tends toinfinity...

This survey is devoted to the statistical analysis of duration models and point processes. Thefirst section introduces specific concepts and definitions for single-spell duration models.Section two is devoted to the presentation of conditional duration models which incorporatethe effects of...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation(DCC) model proposed by Engle (2002), and suggests the use of devolatized returnscomputed as returns standardized by realized volatilities rather than by GARCH type volatilityestimates. The t-DCC...

We develop a structural multi-factor labour demand model which distinguishes between eightlabour categories including non-standard types of employment such as marginalemployment. The model is estimated for both the number of workers and total working hoursusing a new panel data set...

Across many disciplines, the fixed effects estimator of linear panel data models is the default method to estimate causal effects with nonexperimental data that are not confounded by time-invariant, unit-specific heterogeneity. One feature of the fixed effects estimator, however, is often...

Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of estimating choice models under uncertainty may lead to severely biased results in the presence of forecasting errors even when individual expectations on future events are...

While classical measurement error in the dependent variable in a linear regression framework results only in a loss of precision, non-classical measurement error can lead to estimates which are biased and inference which lacks power. Here, we consider a particular type of non-classical...

This paper describes a moments estimator for a standard state-space model with coefficients generated by a random walk. A penalized least squares estimation is linked to the GLS (Aitken) estimates of the corresponding linear model with time-invariant parameters. The VC estimates are moments...

We estimate a structural model of education choices in which individuals choose between a professional (or technical) and a general track at both high school and university levels using French panel data (Génération 98). The average per-period utility of attending general high school (about...

Participation in social programs is often misreported in survey data, complicating the estimation of the effects of those programs. In this paper, we propose a model to estimate treatment effects under endogenous participation and endogenous misreporting. We show that failure to account for...