Background: Financial incentives and institutions play a key role in determining health care expenditures. The health care sector in Europe is mostly publicly funded and financed in contrast to other OECD-countries. The financing is through taxes and service provision by public hospitals and...

We propose a class of distribution-free rank-based tests for the null hypothesis of a unit root. This class is indexed by the choice of a reference density g, which needs not coincide with the unknown actual innovation density f. The validity of these tests, in terms of exact finite sample size,...

This paper presents an inference approach for dependent data in time series, spatial, and panel data applications. The method involves constructing and Wald statistics using a cluster covariance matrix estimator (CCE). We use an approximation that takes the number of clusters/groups as fixed and...

This paper explores the power of two tests for nonlinearity against spurious nonlinear regression. Results show that while the BDS test is susceptible to spuriousness, an approach introduced by Pena and Rodriguez (2005) is powerful, regardless of sample size

This article investigates whether or not the Nepalese stock market is efficient in weak form with respect to economically neutral behavioural variables. Simple OLS technique with White's heteroskedasticity-corrected standard errors is used to test the relationship between stock returns and...

The paper investigates inference in nonlinear and non-Gaussian models with moderately time varying parameters. We show that for many decision problems, the sample information about the parameter path can be summarized by an artificial linear and Gaussian model, at least asymptotically. The...

In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily and weekly data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a new LM test that is resistant to additive outliers. The data...

The recent global financial crisis has intensified calls to make the financial sector less crisis-prone, and to this end to make impairment recognition rules for debt instruments more forward looking. To better understand the behavior of different impairment rules and their potential effect on...