@ARTICLE{26543117_221098659_2018, author = {Polina Kryuchkova and Konstantin Provkov and Maksim Reshetnikov}, keywords = {, administrative data, employment, wage, official statisticspension fund}, title = {Using Administrative Data for Labor Market Statistics: The Case of Moscow}, journal = {Public Administration Issues}, year = {2018}, number = {2}, pages = {7-29}, url = {https://vgmu.hse.ru/en/2018--2/221098659.html}, publisher = {}, abstract = {The purpose of the article is to demonstrate how the use of administrative data can promptly and with low costs improve the accuracy and informativeness of official statistical indicators of the labor market. The Russian offi cial labor statistics currently use the only two sources of statistical information: statistical reporting of enterprises and population surveys. The authors show that the available indicators are inconsistent with each other and do not meet the needs of users. The example of Moscow shows that the available administrative data (data from the Pension Fund of the Russian Federation) allow both to increase the accuracy of the already calculated indicators of employment and wages through the full coverage of respondents, and to introduce new indicators that are currently not calculated by official statistics (wages of Russian citizens and foreigners, salaries of people working for several employers, etc.). The limitations of the Pension Fund’s data, as well as recommendations for the incorporating administrative data into the system of official statistics at the regional and national levels, are discussed.}, annote = {The purpose of the article is to demonstrate how the use of administrative data can promptly and with low costs improve the accuracy and informativeness of official statistical indicators of the labor market. The Russian offi cial labor statistics currently use the only two sources of statistical information: statistical reporting of enterprises and population surveys. The authors show that the available indicators are inconsistent with each other and do not meet the needs of users. The example of Moscow shows that the available administrative data (data from the Pension Fund of the Russian Federation) allow both to increase the accuracy of the already calculated indicators of employment and wages through the full coverage of respondents, and to introduce new indicators that are currently not calculated by official statistics (wages of Russian citizens and foreigners, salaries of people working for several employers, etc.). The limitations of the Pension Fund’s data, as well as recommendations for the incorporating administrative data into the system of official statistics at the regional and national levels, are discussed.} }