Title: Methodological Foundations of the Web-based PayWizard Dataset (USA) Isabelle Ferreras (Harvard Labor and Worklife Program/FNRS/Louvain) Damian Raess (MIT) Members of the team headed by Prof. Richard Freeman (HarvardLWP/NBER)
1Methodological Foundations of the Web-based
PayWizard Dataset (USA) Isabelle Ferreras
(Harvard Labor and Worklife Program/FNRS/Louvain)
Damian Raess (MIT) Members of the team headed by
Prof. Richard Freeman (HarvardLWP/NBER)
- - A 5 Minute Presentation -
-
- 3rd Global WageIndicator Conference. Amsterdam,
April 16, 2008
2General Approach
- How to generalize from a non-representative
sample? - Building a strategy to probe the significance of
the web-generated dataset - 1/ Questionnaire design
- 2/ Basic statistical tests (a simple model
determining income) - 2.a. Correlation analysis
- 2.b. Regression analysis
- 2.c. Weighing might not be enough
- 3/ More to come... With YOU!
- 18 months after launching, a tough road in the
US a highly competitive market now 10 000
visitors a month, waiting for completed surveys! - Number of observations so far 3000
31/ Questionnaire design
- 1/ Locate the reference survey in your country
- a random sample representative of the entire US
population - In the USA US Current Population Survey
(generated by the Bureau of Labor Statistics and
the Census Bureau) - 2/ Identify the questions of the WageIndicator
survey that correspond to questions covered by
that reference survey, and aim at matching
these. - Example the wage question(s) should be conformed
to the one of your reference survey.
42/ Basic statistical tests
- A simple model determining income by age, sex,
education - Descriptive variables
- Sex, percentage of men CPS, 51 PayW, 54
- Age, median CPS, 41 PayW, 37
- Education, years of schooling
52/ Basic statistical tests
62/ Basic statistical tests
- A simple model determining income
- 2.a. Correlation analysis
72/ Basic statistical tests
- A simple model determining income
- 2.b. Regression analysis
82/ Basic statistical tests
- A simple model determining income
- 2.b. Regression analysis
92/ Basic statistical tests
- - 2.b. Regression analysis
10Conclusion Weighing might not be enough
3/ More to come... We need YOU!
- A collaborative effort...
- THANK YOU !
- raess_at_mit.edu iferreras_at_law.harvard.edu