Estimation of count data models with endogenous regressors; an application to demand for health care

The generalized method of moments (GMM) estimation technique is discussed for count data models with endogenous regressors. Count data models can be specified with additive or multiplicative errors. It is shown that, in general, a set of instruments is not orthogonal to both error types. Simultaneous equations with a dependent count variable often do not have a reduced form which is a simple function of the instruments. However, a simultaneous model with a count and a binary variable can only be logically consistent when the system is recursive. The GMM estimator is used in the estimation of a model explaining the number of visits to doctors, with as a possible endogenous regressor a self-reported binary health index. Further, a model is estimated, in stages, that includes latent health instead of the binary health index

An empirical analysis of organized crime, corruption and economic growth

In a companion study, Blackburn et al. (Econ Theory Bull, 2017), we have developed a theoretical framework for studying interactions between organized crime and corruption, with the view of examining the combined effects of these phenomena on economic growth. The analysis therein illustrates that organized crime has a negative effect on growth, but that the magnitude of the effect may be either enhanced or mitigated in the presence of corruption. In this paper we tackle the ambiguity produced by the coexistence of the two illicit activities with an empirical investigation using a panel of Italian regions for the period 1983–2009. We find that organized crime distorts growth less when it coexists with corruption and show our results to be robust to different specifications, measures of organized crime, and estimation techniques

Bank ownership structure, regulations and risk-taking : evidence from commercial banks in Pakistan

This paper conducts the first empirical assessment of the theories concerning the influence of ownership structure on bank risk-taking in the presence of regulations in Pakistan. The sample used in this paper comprises a panel data of 26 banks in Pakistan, for the period from 2000 to 2014. The analysis provides evidence that increase in ownership concentration leads to an increase in bank risk-taking. Managerial ownership is associated with high risk-taking at low and high levels of managerial ownership while at intermediate level, managerial ownership has negative impact on bank risk-taking. Different types of ownership of banks in Pakistan have different impact on risk-taking. While government, family and institutional ownership have a positive impact on bank risk-taking, foreign own- ership has a negative impact on bank risk-taking. Furthermore, the results show that capital regulations are important in influencing bank risk-taking with regard to higher ownership concentration. The findings of this paper suggest that the relation between bank risk-taking and capital regulations typically depends on the type of ownership.info:eu-repo/semantics/publishedVersio

Macro-financial linkages and bank behaviour: evidence from the second-round effects of the global financial crisis on East Asia

This paper studies the link between macro-financial variability and bank behaviour, which justifies the second-round effects of the global financial crisis on East Asia. Following Gallego et al. (The impact of the global economic and financial crisis on Central Eastern and South Eastern Europe (CESEE) and Latin America, 2010), the second round effects are defined as the adverse feedback loop from the slumps in economic activities and sharp financial market deterioration, which may influence the financial performance of bank, inter alia via deteriorating credit quality, declining profitability and increasing problems in retaining necessary capitalization. Differentiating itself from other research, this study stresses adjustments in four dimensions of bank performance and behaviour: asset quality, profitability, capital adequacy, and lending behaviour, assuming that any change in a bank-specific characteristic is induced by endogenous adjustments of the others. The empirical results based on partial adjustment models and two-step system GMM estimation show that bank’s adjustment behaviour is subject to the variation in the macro-financial environment and the stress condition in the global financial market. There is no convincing evidence to support the effectiveness of policy rate cut to boots bank lending and to avoid a financial accelerator effect