Showing 1 - 10 of 12
The panel cointegration test of Larsson et al (1998) test for the maximum number of cointegrating relations in a … dynamic panel given the assumption of a common cointegrating rank. This paper presents a test for this assumption. The test is … based on the test statistic of Larsson et al (1998) and a new panel test based on the principal component estimator of …
Persistent link: https://www.econbiz.de/10005207177
This paper presents a general likelihood-based framework for inference in panel-VAR models with cointegrating …
Persistent link: https://www.econbiz.de/10005207209
This paper investigates the effects of different health systems on cost efficiency in inpatient health care among the OECD countries. The results indicate that public contract systems are less efficient and that public integrated health systems are more efficient than public reimbursement systems.
Persistent link: https://www.econbiz.de/10005771184
In this paper we propose a multivariate GARCH model with a time-varying conditional correlation structure. The new Double Smooth Transition Conditional Correlation GARCH model extends the Smooth Transition Conditional Correlation GARCH model of Silvennoinen and Teräsvirta (2005) by including...
Persistent link: https://www.econbiz.de/10005056490
This paper considers maximum likelihood estimation and inference in the two-way random effects model with serial correlation. We derive a straightforward maximum likelihood estimator when the time-specific component follow an AR(1) or MA(1) process. The estimator is easily generalized to...
Persistent link: https://www.econbiz.de/10005423854
This paper presents a likelihood-based panel test of cointegrating rank in heterogeneous panel models based on the mean …
Persistent link: https://www.econbiz.de/10005649283
In this paper we propose a new multivariate GARCH model with time-varying conditional correlation structure. The approach adopted here is based on the decomposition of the covariances into correlations and standard deviations. The time-varying conditional correlations change smoothly between two...
Persistent link: https://www.econbiz.de/10005649338
This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...
Persistent link: https://www.econbiz.de/10005649391
This paper proposes several resampling algorithms suitable for error component models and evaluates them in the context of bootstrap testing. In short, all the algorithms work well and lead to tests with correct or close to correct size. There is thus little or no reason not to use the bootstrap...
Persistent link: https://www.econbiz.de/10005649435
This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...
Persistent link: https://www.econbiz.de/10005649501