Measuring Intergenerational Income Mobility: A Synthesis of Approachest

被引:12
作者
Deutscher, Nathan [1 ]
Mazumder, Bhashkar [2 ]
机构
[1] Australian Natl Univ, Canberra, ACT, Australia
[2] Fed Reserve Bank Chicago, Chicago, IL USA
关键词
SOCIAL-MOBILITY; UNITED-STATES; FORTUNATE SONS; EARNINGS; INEQUALITY; FAMILY; NEIGHBORHOOD; OPPORTUNITY; SWEDEN; TRANSMISSION;
D O I
10.1257/jel.20211413
中图分类号
F [经济];
学科分类号
02 ;
摘要
The literature on intergenerational income mobility uses a diverse set of measures and there is limited knowledge about whether these measures provide similar information and yield similar conclusions. We provide a framework to highlight the key concepts and properties of the different estimators. We then show how these measures relate to one another empirically. Our main analysis uses income tax data from Australia to produce a comprehensive set of empirical estimates for each of 19 different mobility measures at both the national and regional levels. We supplement this analysis with other data that uses either within-or between-country variation in mobility measures. A key finding is that there is a clear distinction between relative and absolute measures both conceptually and empirically. A region may be high with respect to absolute mobility but could be low with respect to relative mobility. However, within broad categories, the different mobility measures tend to be highly correlated. For rank-based estimators, we highlight the importance of how the choice of the distribution used for calculating ranks can play a critical role in determining its properties as well as affect empirical findings. These patterns of results are important for policymakers whose local economy might fare well according to some mobility indicators but not others. (JEL D31, H24, I32, J62)
引用
收藏
页码:988 / 1036
页数:49
相关论文
共 130 条
[1]  
Aaberge Rolf, 2014, Statistics Norway Discussion Paper 769
[2]   Intergenerational economic mobility in the United States, 1940 to 2000 [J].
Aaronson, Daniel ;
Mazumder, Bhashkar .
JOURNAL OF HUMAN RESOURCES, 2008, 43 (01) :139-172
[3]   The long-run effects of the 1930s HOLC "redlining" maps on place-based measures of economic opportunity and socioeconomic success [J].
Aaronson, Daniel ;
Faber, Jacob ;
Hartley, Daniel ;
Mazumder, Bhashkar ;
Sharkey, Patrick .
REGIONAL SCIENCE AND URBAN ECONOMICS, 2021, 86
[4]   The ATO Longitudinal Information Files (ALife): Individuals-A New Dataset for Public Policy Research [J].
Abhayaratna, Thomas ;
Carter, Andrew ;
Johnson, Shane .
AUSTRALIAN ECONOMIC REVIEW, 2022, 55 (04) :541-557
[5]   And Yet It Moves: Intergenerational Mobility in Italy [J].
Acciari, Paolo ;
Polo, Alberto ;
Violante, Giovanni L. .
AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS, 2022, 14 (03) :118-163
[6]   Intergenerational Mobility and Preferences for Redistribution [J].
Alesina, Alberto ;
Stantcheva, Stefanie ;
Teso, Edoardo .
AMERICAN ECONOMIC REVIEW, 2018, 108 (02) :521-554
[7]  
[Anonymous], 2018, A broken social elevator? How to promote social mobility, DOI DOI 10.1787/9789264301085-EN
[8]  
Australian Bureau of Statistics, 2011, 1270.0.55.001 - Australian Statistical Geography Standard (ASGS): Volume 1-Main Structure and Greater Capital City Statistical Areas, V1
[9]  
Australian Bureau of Statistics, 2017, 6401.0 Consumer Price Index, Australia, March 2017
[10]   Family Disadvantage and the Gender Gap in Behavioral and Educational Outcomes [J].
Autor, David ;
Figlio, David ;
Karbownik, Krzysztof ;
Roth, Jeffrey ;
Wasserman, Melanie .
AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS, 2019, 11 (03) :338-381