@article{BradyGiesselmannKohleretal.2018,
  author    = {Brady, David and Giesselmann, Marco and Kohler, Ulrich and Radenacker, Anke},
  title     = {How to measure and proxy permanent income},
  series = {The Journal of Economic Inequality},
  volume    = {16},
  journal   = {The Journal of Economic Inequality},
  number    = {3},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1569-1721},
  doi       = {10.1007/s10888-017-9363-9},
  pages     = {321 -- 345},
  year      = {2018},
  abstract  = {Permanent income (PI) is an enduring concept in the social sciences and is highly relevant to the study of inequality. Nevertheless, there has been insufficient progress in measuring PI. We calculate a novel measure of PI with the German Socio-Economic Panel (SOEP) and U.S. Panel Study of Income Dynamics (PSID). Advancing beyond prior approaches, we define PI as the logged average of 20+ years of post-tax and post-transfer ("post-fisc") real equivalized household income. We then assess how well various household- and individual-based measures of economic resources proxy PI. In both datasets, post-fisc household income is the best proxy. One random year of post-fisc household income explains about half of the variation in PI, and 2-5 years explain the vast majority of the variation. One year of post-fisc HH income even predicts PI better than 20+ years of individual labor market earnings or long-term net worth. By contrast, earnings, wealth, occupation, and class are weaker and less cross-nationally reliable proxies for PI. We also present strategies for proxying PI when HH post-fisc income data are unavailable, and show how post-fisc HH income proxies PI over the life cycle. In sum, we develop a novel approach to PI, systematically assess proxies for PI, and inform the measurement of economic resources more generally.},
  language  = {en}
}
@article{Tjaden2021,
  author    = {Tjaden, Jasper},
  title     = {Measuring migration 2.0},
  series = {Comparative migration studies : CMS},
  volume    = {9},
  journal   = {Comparative migration studies : CMS},
  number    = {1},
  publisher = {Springer},
  address   = {London},
  issn      = {2214-594X},
  doi       = {10.1186/s40878-021-00273-x},
  pages     = {20},
  year      = {2021},
  abstract  = {The interest in human migration is at its all-time high, yet data to measure migration is notoriously limited. "Big data" or "digital trace data" have emerged as new sources of migration measurement complementing 'traditional' census, administrative and survey data. This paper reviews the strengths and weaknesses of eight novel, digital data sources along five domains: reliability, validity, scope, access and ethics. The review highlights the opportunities for migration scholars but also stresses the ethical and empirical challenges. This review intends to be of service to researchers and policy analysts alike and help them navigate this new and increasingly complex field.},
  language  = {en}
}
@misc{Tjaden2021,
  author    = {Tjaden, Jasper},
  title     = {Measuring migration 2.0},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  number    = {149},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-55387},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-553873},
  pages     = {20},
  year      = {2021},
  abstract  = {The interest in human migration is at its all-time high, yet data to measure migration is notoriously limited. "Big data" or "digital trace data" have emerged as new sources of migration measurement complementing 'traditional' census, administrative and survey data. This paper reviews the strengths and weaknesses of eight novel, digital data sources along five domains: reliability, validity, scope, access and ethics. The review highlights the opportunities for migration scholars but also stresses the ethical and empirical challenges. This review intends to be of service to researchers and policy analysts alike and help them navigate this new and increasingly complex field.},
  language  = {en}
}