Showing 1 - 10 of 122
spatially correlated errors in static panel data models, by introducing a spatial lag and a one-period lag of the dependent … variable as additional explanatory variables. Combining the extended Kapoor et al. (2007) approach with the dynamic panel data … time lags, spatial lags, and sets of exogenous variables yields new spatial dynamic panel data estimators. We prove their …
Persistent link: https://www.econbiz.de/10011124438
corrects for spatially correlated errors in static panel data models, by introducing a spatial lag and a one-period lag of the … the dynamic panel data model GMM estimators of Arellano and Bond (1991) and Blundell and Bond (1998) and supplementing the … dynamic panel data estimators. The performance of these spatial dynamic panel data estimators is in- vestigated by means of …
Persistent link: https://www.econbiz.de/10011090432
spatially correlated errors in static panel data models, is extended by introducing fixed effects, a spatial lag, and a one …-period lag of the dependent variable as additional explanatory variables. Combining this approach with the dynamic panel-data GMM …, spatial lags, and sets of exogenous variables yields new spatial dynamic panel data estimators. The proposed spatially …
Persistent link: https://www.econbiz.de/10011144455
Persistent link: https://www.econbiz.de/10011090535
and disclosure and using fixed effects estimation in a panel dataset reduces the endogeneity bias and produces consistent …The purpose of this paper is twofold.First, we provide a discussion of the problems associated with endogeneity in … empirical accounting research.We emphasize problems arising when endogeneity is caused by (1) unobservable firm specific factors …
Persistent link: https://www.econbiz.de/10011092860
A major attraction of panel data is the ability to estimate dynamic models on an individual level. Moffitt (1993) and …
Persistent link: https://www.econbiz.de/10011090312
Detection turning points in unimodel has various applications to time series which have cyclic periods. Related techniques are widely explored in the field of statistical surveillance, that is, on-line turning point detection procedures. This paper will first present a power controlled turning...
Persistent link: https://www.econbiz.de/10009293966
The main contribution of this paper is to propose a bootstrap method for inference on integrated volatility based on the pre-averaging approach of Jacod et al. (2009), where the pre-averaging is done over all possible overlapping blocks of consecutive observations. The overlapping nature of the...
Persistent link: https://www.econbiz.de/10010851203
We propose simple methods for multivariate diffusion bridge simulation, which plays a fundamental role in simulation-based likelihood and Bayesian inference for stochastic differential equations. By a novel application of classical coupling methods, the new approach generalizes a previously...
Persistent link: https://www.econbiz.de/10010851217
We consider cointegration rank estimation for a p-dimensional Fractional Vector Error Correction Model. We propose a new two-step procedure which allows testing for further long-run equilibrium relations with possibly different persistence levels. The fi?rst step consists in estimating the...
Persistent link: https://www.econbiz.de/10010851231