The properties of the two stage least squares (TSLS) and limited information maximum likelihood (LIML) estimators in panel data models where the observables are affected by common shocks, modelled through unobservable factors, are studied for the case where the time series dimension is fixed. We...

We study the treatment effect of grade retention using a panel of French junior high-school students, taking unobserved heterogeneity and the endogeneity of grade repetitions into account. We specify a multistage model of human-capital accumulation with a finite number of types representing...

We consider a latent group panel structure as recently studied by Su, Shi, and Phillips (2016), where the number of groups is unknown and has to be determined empirically. We propose a testing procedure to determine the number of groups. Our test is a residual-based Lagrange multiplier-type...

We study panel data estimators based on a discretization of unobserved heterogeneity when individual heterogeneity is not necessarily discrete in the population. We focus on two-step grouped-fixed effects estimators, where individuals are classified into groups in a first step using kmeans...

Improving productivity is the main determinant of long term develop-ment. In the EU in Europe 2020 strategy special attention was given to the role of quality of human capital (QHC) as an important determinant of productivity growth. In this context the aim of the article is to assess the impact...

Closing development gap and avoiding middle income trap are currently considered as the main challenges for the new EU member states. To obtain both those aims the countries must implement policies that support total factor productivity (TFP) growth. The main scientific purpose of the article is...

The major focus of this paper is on the sovereign-banks relationship following the COVID- 19 pandemic crisis outbreak, with a view to gaining an insight into banks' exposure to the sovereign. We rely on a series of complementary research approaches, such as desk research, comparative statistical...

The fixed effects (FE) panel model is one of the main econometric tools in empirical economic research. A major practical limitation is that the parameters on time-constant covariates are not identifiable. This paper presents a new approach to grouping FE in the linear panel model to reduce...

An increasing body of recent literature focuses on how stock market investor sentiment fluctuates during the pandemic. However, a topic insufficiently addressed is related to investigating the changes occurred in the economic sentiment and expectations during COVID-19 pandemic, as a broader...

In this paper, we compare alternative estimation approaches for factor augmented panel data models. Our focus lies on panel data sets where the number of panel groups (N) is large relative to the number of time periods (T). The principal component (PC) and common correlated effects (CCE)...