Diagnostic Testing of Finite Moment Conditions for the Consistency and Root-N Asymptotic Normality of the GMM and M Estimators*

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Sasaki, Yuya;Wang, Yulong

Description

Common econometric analyses based on point estimates, standard errors, and confidence intervals presume the consistency and the root-n asymptotic normality of the GMM or M estimators. However, their key assumptions that data entail finite moments may not be always satisfied in applications. This paper proposes a method of diagnostic testing for these key assumptions with applications to both simulated and real data sets.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

Assigned Domain

Subfield

Food Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

64%

Source

Open Alex

Keywords

PhysiologyFOS: Biological sciencesBiotechnologyMathematical Sciences not elsewhere classifiedInorganic ChemistryFOS: Chemical sciencesPlant Biology

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00