This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...

Cities and towns are loci of population and production. In 2010, 80.7 percent of the United States population resided in urban areas, and the U.S. Bureau of Economic Analysis reported that in 2011, 90.1 percent of GDP was produced in metropolitan statistical areas (MSAs), emphasizing that urban...

This paper studies the effect of hospital ownership on treatment rates allowing for spatial correlation among hospitals. Competition among hospitals and knowledge spillovers generate significant externalities which we try to capture using the spatial Durbin model. Using a panel of 2342 hospitals...

This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel data model with Spatial Moving Average Random Effects (SMA-RE) structure of the disturbances. A dynamic spatial Generalized Moments (GM) estimator is proposed which combines the...

Die Anteile fluktuierender erneuerbarer Stromerzeugung aus Windkraft- und Photovoltaikanlagen steigen in Deutschland und Europa. Ein effizienterer Handel dieser erneuerbarer Energien erfordert flexible Strommärkte. Hierbei können Auktionen einen effizienteren Handel ermöglichen, unter anderem...

An enormous increase of initial rents in many German cities over the last decade has prompted the current grand coalition to implement a new rent control called "Mietpreisbremse" in 2015 (literally a brake on rental prices). This reform aims to stop exploding rents and to provide particularly...

This paper reviews the results of a number of empirical studies of convergence among the OECD countries and discusses some limitations of these works. Moreover, the paper tries to deal with these limitations by presenting a new and more appropriate methodology: quantile regressions. The results...

This paper investigates the extreme dependence between the Asia-Pacific stock markets and the international crude oil market by applying the quantile regression theory and using daily data from January 4th, 2000 to July 4th, 2016. The authors obtain a more detailed result on the degree and...

In the present paper we study the dynamics of penalization parameter ? of the least absolute shrinkage and selection operator (Lasso) method proposed by Tibshirani (1996) and extended into quantile regression context by Li and Zhu (2008). The dynamic behaviour of the parameter ? can be observed...

It is a challenging task to understand the complex dependency structures in an ultra-high dimensional network, especially when one concentrates on the tail dependency. To tackle this problem, we consider a network quantile autoregres- sion model (NQAR) to characterize the dynamic quantile...