Enriching surveys with supplementary data and its application to studying wage regression
We consider the problem of supplementing survey data with additional information from a population. The framework we use is very general; examples are missing data problems, measurement error models and combining data from multiple surveys. We do not require the survey data to be a simple random sam...
Saved in:
Main Authors: | LEUNG, Denis H. Y., YAMADA, Ken, ZHANG, Biao |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2015
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/soe_research/1992 https://ink.library.smu.edu.sg/context/soe_research/article/2991/viewcontent/EnrichingSurveys_SJS_2015.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Enriching Surveys with Supplementary Data and Its Application to Studying Wage Regression
由: LEUNG, Denis H. Y., et al.
出版: (2015) -
Efficient augmented inverse probability weighted estimation in missing data problems
由: QIN, Jing, et al.
出版: (2017) -
Analysing Survey Data with Incomplete Responses by Using a Method Based on Empirical Likelihood
由: Leung, Denis H. Y., et al.
出版: (2006) -
Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates
由: Wang, Shanshan, et al.
出版: (2016) -
Empirical likelihood for least absolute relative error regression
由: Li, Z., et al.
出版: (2016)