This paper examines the selection biases in the cyclical behaviour of real wages using the German Socio-Economic Panel Data (GSOEP) for the 1984-2009 period. We find rigid wages of job stayers in Germany.

In this simulation study, I compare the efficiency and finite sample bias of parameter estimators for popular income dynamic models using various forms of autocovariances. The dynamic models have a random walk or a heterogeneous growth permanent component, a persistent autoregressive component...

This paper analyses wage flexibility in Chinese labor market using the China Health and Nutrition Survey (CHNS) for the period 1989-2009. China has highly coordinated wage-setting institutions which might contribute to higher wage sensitivity of the coordinated workers, but lower sensitivity in...

This paper analyses wage flexibility in Chinese labor market using the China Health and Nutrition Survey (CHNS) for the period 1989-2009. China has highly coordinated wage-setting institutions which might contribute to higher wage sensitivity of the coordinated workers, but lower sensitivity in...

This paper challenges the economic constraints associated with the so-called post-industrial trilemma. Following Iversen’s and Wren’s seminal 1998 paper, it has been widely accepted that differential industry-level productivity increases rule out a solidaristic structure of wages, due to the...

This paper aims at evaluating and comparing across European countries the influence of early-life circumstances, like childhood disparities and educational attainments, on incomes in later life. Using life-history data from SHARELIFE, country-specific structural relationships among childhood...

We address the issue of estimation and inference in dependent nonstationary panels of small cross-section dimensions. The main conclusion is that the best results are obtained applying bootstrap inference to single-equation estimators. SUR estimators perform badly, or are even unfeasible, when...

We propose a framework for causal inference using factor models. We base our identification strategy on the assumption that policy interventions cause structural breaks in the factor loadings for the treated units. The method allows heterogeneous trends and is easy to implement. We compare our...

The Common Correlated Effects (CCE) approach by Pesaran2006 is a popular method for estimating panel data models with interactive effects. Due to its simplicity, i.e. unobserved common factors are approximated with cross-section averages of the observables, the estimator is highly flexible and...

The paper delves into the intricate relationship between economic growth, tourism arrivals, and climate change, focusing specifically on the European economy over the period 1990-2019 using panel data analysis. The empirical framework examines the interplay between these variables and sheds...