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Syllabus Lecture Notes Problem Sets Some Suggested Reading (SSR) Supplemental Guest Lectures PRIVATE KEY Economics 350, Spring 2022: Lecture Notes Lecture I, March 30, 2022 Overview and Plan of the Course Reading List , Slides, Problem Set 1 Inequality in What? Income Measures and Wage Measures Guest Lecture, Thomas Coleman Three Narratives on Income Inequality: Importance of Good Data Analysis, Methodology, and Theory Role of Taxes and Transfers in Post Tax-Transfer Outcomes The Distribution of Household Income, 2018, Congressional Budget Office, 2021 Lecture II, April 6, 2022 Work and Welfare Dependence Role of Skills and Skill Prices in Explaining Inequality Inequality in Health Mortality Inequality in the United States and Europe, Janet Currie, Princeton University and NBER: Hannes Schwandt, Northwestern University and NBER Social Mobility: Geography and Demography Changes in Assortative Matching: Theory and Evidence for the US Pierre-André Chiappori, Mónica Costa-Dias, Costas Meghir Lecture III, April 13, 2022 The Rate of Return to Schooling: The Mincer Equation and Beyond Rate of Return Continuation Values and Option Values in a Simple Dynamic Model, Eisenhauer, Heckman and Mosso (2015) Two Interpretations of the Mincer Equation: Learning-by-doing vs. On-the-job Training by Heckman, Lochner, and Cossa (2003) Evidence on Learning-by-doing vs. On-the-job Training: Using variation induced by the EITC to test between models of skill formation, Heckman, Lochner and Cossa (2003) Efficiency Units, Elementary Hedonic Models (Gorman and Lancaster) With and Without Bundling Restrictions Guest Lecture: Jin Zhou Skill vs. Tasks: Task Approach by Zhou (2022) Interpreting Personality Measurement, Heckman and Galaty (2022) The Career Decisions of […]

HCEO-briq Summer School on Socioeconomic Inequality Bonn 2022 (SSSI Bonn 2022) Application Form Due date: March 23, 2022 Please complete and submit the application form below. If you have any questions, please contact Jennifer Pachon. [ninja_form id=’13’]

Babies begin learning before birth, and the skills they develop in the earliest years form the foundation they can build on throughout their lives. To help Chicago families make the most of this crucial window for early development, and to advance the science on learning and skill development, CEHD has established the Creciendo Juntos, a home visiting program “Creciendo juntos” means “growing together.” The name reflects both the partnership driving this program and our mission to support families as they grow. Formerly known as the Chicago Home Visiting Partnership Project, Creciendo Juntos is a collaboration between Preparing for Life (PFL)—an evidence-based home visiting model from Ireland—and Casa Central, an organization that has been strengthening communities and transforming lives in Chicago’s West Side neighborhoods since 1954. The PFL program bolsters children’s early development and promotes school readiness by providing home visiting services respectfully designed to support and strengthen parent-child relationships and focus on caregivers’ strengths. The partnership will adapt and implement the PFL program to fit local needs and contexts, in consultation with families and stakeholders in the Chicago early childhood community. Beginning with a pilot rollout in early 2024, the program will provide family support services including monthly home visits, prenatal education, and evidence-based parenting programming until the children enter kindergarten. Creciendo Juntos is now recruiting families to participate, focusing on Chicago’s Back of the Yards and Bridgeport neighborhoods (zip codes 60609 and 60632). This project will leverage each partner’s unique expertise and knowledge to engage families and help them […]

In this video, two experts on causal inference–CEHD Director James J. Heckman and Josea Pearl, Professor of Computer Science at University of California Los Angeles–review the development of methods in this field. These talks were presented The 2012 Causal Inference Symposium  on December 12, sponsored by the Quantitative Methodology Program at the Institute for Social Research, University of Michigan. Presentations include: The Mathematics of Causal Inference: Use it or Lose It – Josea Pearl (3:01) Causal Analysis after Haavelmo: Definitions and a Unified Analysis of Identification of Recursive Causal Models (1:03:50)