New Methods to Measure Intergenerational Mobility
A collaboration between the Stone Center for Research on Wealth Inequality at the University of Chicago and the Stone Center for Inequality Dynamics at the University of Michigan, the conference on New Methods to Measure Intergenerational Mobility brought together researchers across disciplines who emphasize integrating methods in the study of mobility to provide a deeper analysis of empirical findings. Intergenerational mobility is a key dimension of socioeconomic inequality, and its empirical study has experienced a renaissance in the last 15 years. With the emergence of new datasets and new statistical models, we will address the growing need to effectively translate data into substantive mobility claims. The conference was particularly concerned with exploring new statistical models for characterizing the dependence of child outcomes on parental characteristics as well as investigating how statistical measures of mobility can be mapped to substantive claims about underlying mechanisms.
Participation was by invitation only.
Schedule
Friday, November 10
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Start Time
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End Time
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Session
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Session Leaders
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9:00 a.m.
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9:25 a.m.
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Breakfast
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9:25 a.m.
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9:30 a.m.
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Opening Remarks
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Machine Learning Methods
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9:30 a.m.
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9:55 a.m.
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Social Rigidity Across and Within Generations: Using Machine Learning to Predict Ultimate Socioeconomic Status
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9:55 a.m.
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10:20 a.m.
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Generalized Intergenerational Mobility Regressions
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Le Wang |
| 10:20 a.m. | 10:45 a.m. |
Random Forest Methods to Estimate Mobility
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Yisroel Cahn |
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10:45 a.m.
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11:15 a.m.
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Coffee Break
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Social Mobility Effect
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11:15 a.m.
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11:40 a.m.
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Beyond the Diagonal Reference Model: Critiques & New Directions in the Analysis of Mobility Effects
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11:40 a.m.
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12:05 p.m.
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Is There a Mobility Effect? On Methodological Issues in Mobility Effects Models
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Xi Song, Xiang Zhou |
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12:05 p.m.
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12:30 p.m.
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Social Mobility as Causal Intervention
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Lai Wei, Yu Xie |
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12:30 p.m.
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1:30 p.m.
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Lunch Break
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Causal Inference
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1:30 p.m.
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2:00 p.m.
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The Causal Effect of Parental Occupation on Children’s Occupation
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Jennie Brand, Ian Lundberg |
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2:00 p.m.
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2:30 p.m.
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Deep Learning with DAGs
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Adel Daoud, Geoffrey Wodtke |
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2:30 p.m.
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3:00 p.m.
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Equality Of Opportunity, the Great Gatsby Curve, and Polarization
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Andros Kourtellos, Chih Ming Tan |
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3:00 p.m.
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3:30 p.m.
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Coffee Break
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New Data and Measures
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| 3:30 p.m. | 4:00 p.m. |
Estimating Intergenerational Health Transmission in Taiwan with Administrative Health Records
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Bhash Mazumder |
| 4:00 p.m. | 4:30 p.m. |
Geographic Variation in Multigenerational Mobility
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Jan Stuhler |
| 4:30 p.m. | 5:00 p.m. |
Leveraging Cell Phone Data for Studying Social Mobility
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Alex Chow |
Saturday, November 11
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Start Time
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End Time
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Session
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Session Leaders
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9:00 a.m.
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9:30 a.m.
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Breakfast
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Income Mobility
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9:30 a.m.
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10:00 a.m.
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Relationship Between Relative and Absolute Mobility
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Deirdre Bloome |
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10:00 a.m.
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10:30 a.m.
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Absolute Income Mobility and the Rise of Women’s Earnings
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Per Engzell |
| 10:30 a.m. | 11:00 a.m. |
Inequality of Opportunity, Income Mobility, and the Interpretation of Intergenerational Elasticities, Correlations, and Rank-Rank Slopes
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Pablo Mitnik |
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11:00 a.m.
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11:30 a.m.
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Coffee Break
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Markov Chain Mobility Models
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11:30 a.m.
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12:00 p.m.
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Analysis of Intergenerational Mobility Using Markovian Transition
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12:00 p.m.
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12:30 p.m.
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One Stochastic Process Rules Them All: Measuring Intergenerational Mobility
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Steven Durlauf, Aleksandra Lukina |
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12:30 p.m.
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12:35 p.m.
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Closing Remarks
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12:35 p.m.
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1:30 p.m.
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Lunch
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