1982
DOI: 10.2307/1912775
|View full text |Cite
|
Sign up to set email alerts
|

Large Sample Properties of Generalized Method of Moments Estimators

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

63
7,143
3
221

Year Published

1996
1996
2016
2016

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 11,165 publications
(7,430 citation statements)
references
References 23 publications
63
7,143
3
221
Order By: Relevance
“…19 For a discussion of the GMM see Hansen (1982). 20 We performed a line search on τ to find its sum of squared residuals minimizing value.…”
Section: Mullahy's Birthweight Model Revisitedmentioning
confidence: 99%
“…19 For a discussion of the GMM see Hansen (1982). 20 We performed a line search on τ to find its sum of squared residuals minimizing value.…”
Section: Mullahy's Birthweight Model Revisitedmentioning
confidence: 99%
“…While the second assumption can never be tested and needs to be theoretically defensible, we use the Hansen-Sargan statistic as overidentification test to examine whether the instruments (unemployment rates for each of the children's age, gender and country group) were correlated with the error term. Rejection of the null hypothesis at the conventional 5% significance level would suggest that the instrument is correlated with depressive symptoms of the respondents, casting doubt on the validity of the instrument (Hansen, 1982).…”
Section: Empirical Approachmentioning
confidence: 99%
“…As estatísticas t relatadas nas estimativas por MQO são baseadas no estimador de Newey & West (1987), o qual é consistente com a presença de heteroscedasticidade e autocorrelação de formas desconhecidas. A razão para a utilização do GMM se deve ao fato de as estimativas por MQO apresentarem problemas de autocorrelação e heteroscedasticidade de forma desconhecida ou endogeneidades e não linearidades, o que é comum em séries temporais macroeconômicas; esse método oferece estimadores consistentes para a regressão (Hansen 1982). Como apontado por Wooldridge (2001, p.95), "to obtain a more efficient estimator than two-stage least squares (or ordinary least squares), one must have overriding restrictions".…”
Section: Metodologiaunclassified