The paper proposes a refinement of the generalized spatial two-stage and threestage least squares estimators for simultaneous systems of equations with network interdependence, recently introduced in Drukker, Egger and Prucha (2022). Specifically, we propose a refined weighting of the moment...

This study, which analysed the profitability of 42 reinsurers in Sub-Saharan Africa from 1991 to 2020, revealed that various factors such as gross domestic product, competition (HHI), premium growth, investment performance, underwriting risk, and operational efficiency affect the profitability...

A common practice in estimating parameters in DSGE models is to Önd a set that when simulated gets close to an average of certain data moments; the modelís simulated performance for other moments is then compared to the data for these as an informal test of the model. We call this procedure...

Simultaneity represents a fundamental problem when estimating the elasticity of substitution between capital and labour. To overcome this problem, a wide variety of external instruments has been applied in the literature. However, the use of instruments may lead to wrong inference if they are...

Applied researchers using structural models under rational expectations (RE) often confront empirical evidence of misspecification. In this paper we consider a generic dynamic model that is posed as a vector of unconditional moment restrictions. We suppose that the model is globally misspecified...

When constructing parametric models to predict the cost of future claims, several important details have to be taken into account: (i) models should be designed to accommodate deductibles, policy limits, and coinsurance factors, (ii) parameters should be estimated robustly to control the...

With some regularity conditions maximum likelihood estimators (MLEs) al-ways produce asymptotically optimal (in the sense of consistency, efficiency, sufficiency,and unbiasedness) estimators. But in general, the MLEs lead to non-robust statisticalinference, for example, pricing models and risk...