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We propose non-nested hypotheses tests for conditional moment restriction models based on the method of generalized empirical likelihood (GEL). By utilizing the implied GEL probabilities from a sequence of unconditional moment restrictions that contains equivalent information of the conditional...
Persistent link: https://www.econbiz.de/10012771848
This paper develops a method for testing for the presence of a single structural break in panel data models with …
Persistent link: https://www.econbiz.de/10013014830
We compare the finite sample performance of a range of tests of linear restrictions for linear panel data models … have recently been proposed. We consider both the AR(1) panel model, and a design with predetermined regressors. The …
Persistent link: https://www.econbiz.de/10014064498
In this paper we explore a new approach to estimation for autoregressive panel data models, based on projecting the …
Persistent link: https://www.econbiz.de/10014123931
We propose non-nested tests for competing conditional moment restriction models using a method of empirical likelihood. Our tests are based on the method of conditional empirical likelihood developed by Kitamura, Tripathi and Ahn (2004) and Zhang and Gijbels (2003). By using the conditional...
Persistent link: https://www.econbiz.de/10014062341
This paper develops a consistent series-based specification test for semiparametric panel data models with fixed …
Persistent link: https://www.econbiz.de/10012862375
Persistent link: https://www.econbiz.de/10003767429
Persistent link: https://www.econbiz.de/10009612875
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression coefficients and a probability distribution on...
Persistent link: https://www.econbiz.de/10014050438
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression coefficients and a probability distribution on...
Persistent link: https://www.econbiz.de/10014217553