EconPapers    
Economics at your fingertips  
 

Identification and Estimation of Initial Conditions in Non-Minimal State-Space Models

Victor Bystrov

Central European Journal of Economic Modelling and Econometrics, 2020, vol. 12, issue 4, 413-429

Abstract: In this paper the identification problem is considered for initial conditions in a non-minimal state-space model that includes interpretable state variables generated by non-stationary stochastic processes. In order to solve the identification problem, structural restrictions are imposed on initial conditions in a state-space model with redundant state variables. The corresponding restricted maximum likelihood estimator of initial conditions is derived. The restricted estimator of initial conditions can be used in order to compute uniquely identified realizations of interpretable latent variables. The identification problem is illustrated analytically using a simple structural economic model.

Keywords: identification; latent variables; state-space model; redundancy (search for similar items in EconPapers)
JEL-codes: C32 C51 C52 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://cejeme.org/publishedarticles/2020-52-26-637420207602331425-3747.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:psc:journl:v:12:y:2020:i:4:p:413-429

Access Statistics for this article

More articles in Central European Journal of Economic Modelling and Econometrics from Central European Journal of Economic Modelling and Econometrics
Bibliographic data for series maintained by Damian Jelito ().

 
Page updated 2025-03-19
Handle: RePEc:psc:journl:v:12:y:2020:i:4:p:413-429