Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Jörg Breitung"'
Publikováno v:
Econometrics and Statistics. 24:116-132
A computationally simple bias correction for linear dynamic panel data models is proposed and its asymptotic properties are studied when the number of time periods is fixed or tends to infinity with the number of panel units. The approach can accommo
Autor:
Jörg Breitung, Ralf Brüggemann
Publikováno v:
Oxford Bulletin of Economics and Statistics.
Autor:
Jörg Breitung, Malte Knüppel
Publikováno v:
Journal of Applied Econometrics. 36:369-392
We develop tests for the null hypothesis that forecasts become uninformative beyond some maximum forecast horizon h∗. The forecast may result from a survey of forecasters or from an estimated parametric model. The first class of tests compares the
Autor:
Philipp Hansen, Jörg Breitung
Publikováno v:
Empirical Economics. 60:327-351
In this paper, we compare alternative estimation approaches for factor augmented panel data models. Our focus lies on panel data sets where the number of panel groups (N) is large relative to the number of time periods (T). The principal component (P
Autor:
Sven Schreiber, Jörg Breitung
Publikováno v:
Econometrics and Statistics. 6:57-73
The frequency-specific Granger causality test is extended to a more general null hypothesis that allows causality testing at unknown frequencies within a pre-specified range of frequencies. This setup corresponds better to empirical situations encoun
Autor:
Philipp Hansen, Jörg Breitung
Publikováno v:
Empirical Economics. 61:3557-3558
A correction to this paper has been published: https://doi.org/10.1007/s00181-021-02074-8
Autor:
Christoph Wigger, Jörg Breitung
Publikováno v:
Spatial Economic Analysis. 13:148-170
Using approximations of the score of the log-likelihood function, we derive moment conditions for estimating spatial regression models, starting with the spatial error model. Our approach results in computationally simple and robust estimators, such
Publikováno v:
The Econometrics Journal. 19:166-202
This paper employs the Lagrange Multiplier (LM) principle to test parameter homogeneity across cross-section units in panel data models. The test can be seen as a generalization of the Breusch-Pagan test against random individual eects to all regress
Autor:
Christoph Roling, Jörg Breitung
Publikováno v:
Journal of Forecasting. 34:588-603
In this paper a nonparametric approach for estimating mixed-frequency forecast equations is proposed. In contrast to the popular MIDAS approach that employs an (exponential) Almon or Beta lag distribution, we adopt a penalized least-squares estimator
Autor:
Matei Demetrescu, Jörg Breitung
Publikováno v:
Journal of Econometrics. 187:358-375
Valid inference in predictive regressions depends in a crucial manner on the degree of persistence of the predictor variables. The paper studies test procedures that are robust in the sense that their asymptotic null distributions are invariant to th