TY - JOUR A1 - Brady, David A1 - Giesselmann, Marco A1 - Kohler, Ulrich A1 - Radenacker, Anke T1 - How to measure and proxy permanent income BT - evidence from Germany and the US JF - The Journal of Economic Inequality N2 - 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. KW - Income KW - Permanent income KW - Lifetime income KW - Measurement KW - Longitudinal and panel data KW - Social class Y1 - 2018 U6 - https://doi.org/10.1007/s10888-017-9363-9 SN - 1569-1721 SN - 1573-8701 VL - 16 IS - 3 SP - 321 EP - 345 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Kohler, Ulrich A1 - Kreuter, Frauke A1 - Stuart, Elizabeth A. T1 - Nonprobability Sampling and Causal Analysis JF - Annual review of statistics and its application N2 - The long-standing approach of using probability samples in social science research has come under pressure through eroding survey response rates, advanced methodology, and easier access to large amounts of data. These factors, along with an increased awareness of the pitfalls of the nonequivalent comparison group design for the estimation of causal effects, have moved the attention of applied researchers away from issues of sampling and toward issues of identification. This article discusses the usability of samples with unknown selection probabilities for various research questions. In doing so, we review assumptions necessary for descriptive and causal inference and discuss research strategies developed to overcome sampling limitations. KW - causal inference KW - generalizability KW - self-selection KW - nonprobability sampling KW - validity KW - measurement error KW - heterogeneous treatment effects KW - big data Y1 - 2018 U6 - https://doi.org/10.1146/annurev-statistics-030718-104951 SN - 2326-8298 SN - 2326-831X VL - 6 SP - 149 EP - 172 PB - Annual Reviews CY - Palo Alto ER - TY - CHAP A1 - Kohler, Ulrich ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - Component-Plus-Residual Plot T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_3 SP - 67 EP - 67 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Kohler, Ulrich ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - Homoskedastizität T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_8 SP - 181 EP - 181 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Kohler, Ulrich ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - Added Variable Plot T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_1 SP - 11 EP - 11 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Kohler, Ulrich ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - DFbeta T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_4 SP - 88 EP - 88 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Kohler, Ulrich T1 - Survey Research Methods during the COVID-19 Crisis JF - Survey research methods KW - COVID-19 KW - Survey Research Methods Y1 - 2020 U6 - https://doi.org/10.18148/srm/2020.v14i2.7769 SN - 1864-3361 VL - 14 IS - 2 SP - 93 EP - 94 PB - European Survey Research Association CY - Konstanz ER - TY - CHAP A1 - Kohler, Ulrich A1 - Pöge, Andreas ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - Optimal Matching T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_15 SP - 299 EP - 299 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Kohler, Ulrich ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - Sequenzanalyse [1] T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_19 SP - 364 EP - 364 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Kohler, Ulrich ED - Diaz-Bone, Rainer ED - Weischer, Christoph T1 - Regressionsdiagnostik T2 - Methoden-Lexikon für die Sozialwissenschaften Y1 - 2014 SN - 978-3-531-16629-2 SN - 978-3-531-18889-8 U6 - https://doi.org/10.1007/978-3-531-18889-8_18 SP - 348 EP - 348 PB - Springer CY - Wiesbaden ER -