This paper presents the nonlinear IV methodology as an effective inferential basis for nonstationary panels. The nonlinear IV method resolves the inferential difficulties in testing for unit roots arising from the intrinsic heterogeneities and cross-dependencies of panel models. Individual units are allowed to be dependent through correlations among innovations, interrelatedness of short-run dy...

This paper investigates the past effectiveness of the Maastricht Treaty (MT) and Stability and Growth Pact (SGP) in disciplining fiscal policy in the Euro zone. We estimate fiscal reaction functions for a panel of 11 members of the Euro zone including the more recent period of the reformed SGP, and compare them with fiscal responses from other “industrialized” OECD countries. Our main finding i...

This paper studies the estimation of quantile regression panel duration models. We allow for the possibility of endogenous covariates and correlated individual effects in the quantile regression models. We propose a quantile regression approach for panel duration models under conditionally independent censoring. The procedure involves minimizing l1 convex objective functions and is motivated by...

This study investigates the relationships among pollutant emissions, energy consumption and economic development in China during the period 1982-2007 by using one-step GMM-system model under multivariable panel VAR framework, controlling for capital stock and labor force. Regarding the data for all 28 provinces as a whole, we find that there is a unidirectional positive relationship running fro...

Macro-prudential authorities need to assess medium-term downside risks the real economy, caused by severe financial shocks. Before activating policy measures, they also consider their short-term negative impact. This gives rise a risk management problem, an inter-temporal trade-off between expected growth and risk. Predictive distributions are estimated with structural quantile vector autoregre...

Mums and Their Sons, Dads and Their Daughters: Panel Data Evidence of Interdependent Marginal Utilities across 14 EU Countries We study how fathers and mothers income satisfaction correlates with the income satisfaction of their sons and daughters, as well as with other economic and sociodemographic variables. We estimate these correlations using data on parents and children in households surve...

Real estate data exhibit autocorrelation and heterogeneity across both space and time. The literature is beginning to advance methods that account for the four components. This article accordingly introduces the Bayesian Maximum Entropy (BME) method to real estate analysis. In addition to controlling for spatiotemporal autocorrelation and heterogeneity, BME allows for probabilistic and missing ...

This paper analyses the socioeconomic determinants of life expectancy in Southeastern Europe countries highlighting most important factors that can affect this part Europe. 
 Two Panel Data Regression with fixed–effects model was applied for 20 years from 2000 to 2019. Eight and environmental explanatory variables were used verify their influence on expectancy.
 The analysis highlight...

Maximum Likelihood Estimation and Lagrange Multiplier Tests for Panel Seemingly Unrelated Regressions with Spatial Lag and Spatial Errors: An Application to Hedonic Housing Prices in Paris 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...

We consider the estimation of the usual Gravity model of trade, which involves flows of trade, say exports, from country i to country j in time period t. We suggest an easy-to-impliment generalised method of moments estimator that avoids the issues associated with the usual fixed effects treatment of the unobserved heterogeneity in this type of models and at the same time provides consistent pa...