This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...

In this paper we show that panel estimates of tenure specific sensitivity to the business cycle of wages is subject to serious pitfalls. Three canonical variates used in the literature - the minimum unemployment rate during a worker's time at the firm (min u), the unemployment rate at the start...

In this paper we show that panel estimates of tenure specific sensitivity to the business cycle of wages is subject to serious pitfalls. Three canonical variates used in the literature - the minimum unemployment rate during a worker's time at the firm (min u), the unemployment rate at the start...

We investigate price duration variance estimators that have long been neglected in the literature. We show i) how price duration estimators can be used for the estimation and forecasting of the integrated variance of an underlying semi-martingale price process and ii) how they are affected by a)...

Norway experienced a high immigration flow after the EEA directive in 2004 stating workers right to free movement within the European Union and EEA-countries. There is no clear consensus in the literature on how immigration affects native wages, but some studies using Norwegian micro data have...

Norway experienced a high immigration flow after the EEA directive in 2004 stating workers right to free movement within the European Union and EEA-countries. There is no clear consensus in the literature on how immigration affects native wages, but some studies using Norwegian micro data have...

In this paper we develop a novel semi-nonparametric panel copula model with external covariates for the study of wage rank dynamics. We focus on nonlinear dependence between the current and lagged worker's ranks in the wage residuals distribution, conditionally on individual characteristics. We...

In recent years, analysis of financial time series has focused largely on data related to market trading activity. Apart from modelling the conditional variance of returns within the GARCH family of models, presently attention has also been devoted to other market variables, especially volumes,...

We propose a new method to implement the Business Time Sampling (BTS) scheme for high-frequency financial data. We compute a time-transformation (TT) function using the intraday integrated volatility estimated by a jump-robust method. The BTS transactions are obtained using the inverse of the TT...