Projects per year
Abstract
Testing independence has garnered increasing attention in the econometric and statistical literature. Many tests have been proposed, most of which are inconsistent against all departures from independence. Few of those tests, though consistent, suffer a significant loss of local power. This study proposes a mutual information test for testing independence. The proposed test is simple to implement and, with a slight loss of local power, is consistent against all departures from independence. The key driving factor is that we estimate the density ratio directly. This value is constant in a state of independence. This is in contrast with related studies that estimate the joint and marginal density functions to form the density ratio. A small-scale simulation study indicates that the proposed test outperforms the existing alternatives in various dependence structures.
Original language | English |
---|---|
Article number | 105335 |
Journal | Journal of Econometrics |
Volume | 240 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2024 |
Keywords
- Convex optimization
- Density ratio
- Independence test
- Mutual information
Fingerprint
Dive into the research topics of 'Testing unconditional and conditional independence via mutual information'. Together they form a unique fingerprint.Projects
- 1 Finished