Search Results - subject:"Sampling weights"

How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages

Engel, Melissa; Schaffner, Sandra - 2012

The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers important variables over all EU Member States. Unfortunately, Eurostat provides separate data sets which do not cover all waves. Furthermore, information on monthly...

Persistent link: https://www.econbiz.de/10010290712

How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages

Engel, Melissa; Schaffner, Sandra - Rheinisch-Westfälisches Institut für … - 2012

Persistent link: https://www.econbiz.de/10010598398

Regional incomes structure analysis in Slovak republic on the basis of EU-SILC data

Terek, Milan - In: Scientific Annals of Economics and Business 64 (2017) 2, pp. 171-185

Persistent link: https://www.econbiz.de/10011865984

Accounting for sampling weights in PLS path modeling: Simulations and empirical examples

Becker, Jan-Michael; Ida Rosnita Ismail - In: European management journal 34 (2016) 6, pp. 606-617

Persistent link: https://www.econbiz.de/10011625070

A note on how to realize the full potential of the EU-SILC data

Berger, Melissa; Schaffner, Sandra - In: Journal of economic and social measurement 41 (2016) 4, pp. 395-416

Persistent link: https://www.econbiz.de/10011670322

Propensity Score Analysis with Survey Weighted Data

Ridgeway, Greg; Kovalchik, Stephanie Ann; Griffin, Beth Ann - In: Journal of Causal Inference 3 (2015) 2, pp. 237-249

with data from survey designs are generally not properly accounting for the sampling weights in their analyses. Moreover … through derivation, simulation, and a real data example that using sampling weights in the propensity score estimation stage … involving sampling weights and using PSAs. …

Persistent link: https://www.econbiz.de/10014610821

Performance of Random Effects Model Estimators Under Complex Sampling Designs

Jia, Yue; Stokes, Lynne; Harris, Ian; Wang, Yan - In: Journal of Educational and Behavioral Statistics 36 (2011) 1, pp. 6-32

multistage designs. Incorporation of sampling weights is one way to reduce estimation bias due to unequal probabilities of …

Persistent link: https://www.econbiz.de/10010776016

Methodological Considerations in Using Complex Survey Data: An Applied Example With the Head Start Family and Child Experiences Survey

Hahs-Vaughn, Debbie L.; McWayne, Christine M.; … - In: Evaluation Review 35 (2011) 3, pp. 269-303

Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased parameter estimates. Using data from the...

Persistent link: https://www.econbiz.de/10009371978

Complex Sample Data Recommendations and Troubleshooting

Hahs-Vaughn, Debbie L.; McWayne, Christine M.; … - In: Evaluation Review 35 (2011) 3, pp. 304-313

Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type...

Persistent link: https://www.econbiz.de/10009371984

On kernel nonparametric regression designed for complex survey data

Harms, Torsten; Duchesne, Pierre - In: Metrika 72 (2010) 1, pp. 111-138

Persistent link: https://www.econbiz.de/10008486687