ASYMPTOTIC PROPERTIES OF WEIGHTED M-ESTIMATORS FOR STANDARD STRATIFIED SAMPLES

By Jeffrey M. Wooldridge. Econometric Theory, 2001

159 citations recorded by the source corpus.

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Citations in the corpus

Computers and Student Learning: Bivariate and Multivariate Evidence on the Availability and Use of Computers at Home and at School (2004, background): “WLS estimation ensures that the proportional contribution to the parameter estimates of each stratum in the sample is the same as would have been obtained in a complete census enumeration (DuMouchel and Duncan 1983; Wooldridge 2001).”
Inverse probability weighted M-estimators for sample selection, attrition, and stratification (2002, background): “In the context of different kinds of stratified sampling, Wooldridge (1999,2001) shows that when w partitions as (x, y) where some feature of the conditional distribution of y given x is correctly specified,stratification is a function of x,and a generalized conditional (on x) information matrix eq”
Air travel choices in multi-airport markets☆ (2006, methodology): “The asymptotic properties of the weighted mixed logit models are based on results in Wooldridge (2001) 20 We found the mixed logit results to be robust to different initial values.”
Identity and entrepreneurship: do school peers shape entrepreneurial intentions? (2010, background): “Furthermore, we weight each student by the inverse of his or her sampling probability (DuMouchel and Duncan 1983; Wooldridge 2001 ).”
How Equal are Educational Opportunities? Family Background and Student Achievement in Europe and the United States (2004, unknown): “The WLS estimation ensures that the proportional contribution to the parameter estimates of each stratum in the sample is the same as would have been obtained in a complete census enumeration (DuMouchel and Duncan 1983; Wooldridge 2001).”
Educational Production in East Asia: The Impact of Family Background and Schooling Policies on Student Performance (2003, methodology): “The WLS estimation ensures that the proportional contribution to the parameter estimates of each stratum in the sample is the same as would have been obtained in a complete census enumeration (DuMouchel and Duncan, 1983; Wooldridge, 2001).”
Education Policy and Equality of Opportunity (2008, unknown): “WLS estimation guarantees that the proportional contribution to the parameter estimates of each stratum in the sample is the same as if a complete censushadbeenobtained (cf.DuMouchel andDuncan1983;Wooldridge2001).”
Schooling Quality in Eastern Europe: Educational Production During Transition (2003, methodology): “This is done by applying weighted least squares (WLS) as a regression technique for all regressions performed with the data (cf. Wooldridge 2001).”
Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and Their Implementation (2007, background): “The econometrics texts of Greene (1997) and Wooldridge (2002) and Lambert’s (2001) text on income distribution and redistribution cover the relevant material.”