Estimation of the Kronecker Covariance Model by Partial Means and Quadratic Form

06/21/2019
∙
by   Oliver B. Linton, et al.
∙
0
∙

We propose two new estimators of the Kronecker product model of the covariance matrix. We show that these estimators have good properties in the large dimensional case where n is large relative to T. In particular, the partial means estimator is consistent in a relative Frobenius norm sense provided ^3n/T→0, while the quadratic form estimator is consistent in a relative Frobenius norm sense provided ^3n/(nT)→0. We obtain the limiting distribution of a Lagrange multiplier (LM) test of the hypothesis of zero mean vector. We show that this test performs well in finite sample situations both when the Kronecker product model is true, but also in some cases where it is not true.

READ FULL TEXT

Please sign up or login with your details

Continue with:
Or login with email
Enter Password
Re-enter Password

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×
Pro

Consider DeepAI Pro

Subscribe to DeepAI Pro
DeepAI Pro
Provides a limited generation allowance each month. When exceeded, you are charged overage rates available at deepai.org/pricing. Also includes an ad-free experience and API access. Renews automatically until canceled. Non-refundable.
Subtotal
Total due today

Payment

Add DeepAI credits
DeepAI credits
One-time purchase. Credits are added to your wallet after payment.
Subtotal
Total due today

Payment