Given the high resilience of Central and Eastern Europe (CEE) banking sectors during last financial crisis their major role in CEE region financing economy supporting growth rates achieved there, our paper investigates determinants profitability based on a Generalized Method Methods (GMM) approach using data between 2009 2018. We have selected from macroeconomic factors financial-banking specif...

This paper derives consistent standard errors for a panel Tobit model in the presence of correlated errors. The problem is framed in the context of Newey and West (1987), considering the Tobit model as a special case of a GMM estimator. JEL codes: C23, C24

We modify a previously suggested GMM estimator in a spatial panel regression model by taking into account the difference between disturbances and regression residuals and derive its asymptotic properties. Simulation results and an empirical application to Indonesian rice data illustrate the improvement in finite samples. JEL Classification: C13, C21

Southeast Asian Nations (ASEAN) observed rapid economic growth in the last few decades. This study aims to investigate whether integration and information communication technology (ICT) promotes ASEAN. It further examines role of ICT for relationship with respect readiness usage. The undertook panel data over 21 years (1997 – 2017) employed Generalized Method Moments approach estimation results...

In this paper, we propose improved IV/GMM estimators for panel vector autoregressive models by extending Hayakawa (2009) where an alternative form of instruments is suggested. We show that the proposed IV estimator has the same asymptotic distribution as the bias corrected maximum likelihood estimator by Hahn and Kuersteiner (2002). Since the proposed estimator is simply change the form of inst...

Time-varying volatility is common in macroeconomic data and has been incorporated into macroeconomic models in recent work. Dynamic panel data models have become increasingly popular in macroeconomics to study common relationships across countries or regions. This paper estimates dynamic panel data models with stochastic volatility by maximizing an approximate likelihood obtained via Rao-Blackw...

Social sanctions may be a strong deterrent of crime. This paper presents a formal model that relates crime and social sanction to social interaction density. We empirically test the theoretical predictions using a provincial level panel dataset on different crimes in Italy between 1996 and 2003. We exploit detailed demographic and geo-morphological information to develop exogenous measures of s...

Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context offers various opportunities to derive moment conditions that result in consistent GMM estimators. We consider three sources of moment conditions: (i) restrictions on the intertemporal covariance matrix of the errors in the equations, (ii) heteroskedasticity and nonlinearity in ...

The estimation of a linear equation from panel data with measurement errors is considered. The equation is estimated (I) by methods operating on the equation in differenced period means, and (II) by Generalized Method of Moments (GMM) procedures using (a) the equation in differences with instruments in levels and (b) the equation in levels with instruments in differences. Both difference transf...