We propose to use covariate balancing propensity score by Imai and Ratković (2014) to obtain matching weights for balancing the online samples of Wage Indicator Project to nationally representative samples. We balance the Wage Indicator data on individual characteristics such as age, gender and education. We provide balancing weights for 17 countries, sometimes for alternative representative samples. 

• Detailed results: covariate balancing using CBPS by Imai and Ratkovic (2014) for benchmark data with continuous measurement of wages
• Detailed results: covariate balancing using CBPS by Imai and Ratkovic (2014) for benchmark data with continuous measurement of monthly wages
• Detailed results: covariate balancing using CBPS by Imai and Ratkovic (2014) for benchmark data with continuous measurement of hourly wages
• Weights