About CIERS The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies. This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress.
Causal Inference in Education Research Seminar (CIERS)
About CIERS The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies. This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress.
Causal Inference in Education Research Seminar (CIERS)
About CIERS The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies. This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress.
Causal Inference in Education Research Seminar (CIERS)
About CIERS The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies. This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress.
Causal Inference in Education Research Seminar (CIERS)
About CIERS The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies. This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress.
Causal Inference in Education Research Seminar (CIERS)
From the speaker's bio: Thomas Geraghty is a Professor of Law, the Associate Dean for Clinical Legal Education and Director of the Bluhm Legal Clinic at the Northwestern University School of Law. The Bluhm Legal Clinic houses 35 clinical faculty members and enrolls 170 students each year in its various programs.
Causal Inference in Education Research Seminar (CIERS)
About CIERS The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies. This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress.
Professor Danziger is the Henry J. Meyer Distinguished University Professor of Public Policy, Gerald R. Ford School of Public Policy and Research Professor at the Population Studies Center. His research focuses on social welfare policies and on the effects of economic, demographic, and public policy changes on trends in poverty and inequality. He is a Fellow of the American Academy of Arts and Sciences, a John Simon Guggenheim Foundation Fellow, Director of the National Poverty Center, and Director of the Research and Training Program on Poverty and Public Policy.
'Assessed by a Teacher Like Me: Race, Gender, and Subjective Evaluations.' Amine Ouazad, Assistant Professor of Economics and Political Science, INSEAD. 3rd Floor Seminar Room, Weill Hall, 735 South State Street. See the paper.
Abstract: We analyze all but a few of the 47 charter schools operating in New York City in 2005-06. The schools tend to locate in disadvantaged neighborhoods and serve students who are substantially poorer than the average public school student in New York City. The schools also attract black applicants to an unusual degree, not only relative to New York City but also relative to the traditional public schools from which they draw.
Causal Inference in Education Research Seminar (CIERS)
Ford Security Seminar will host William G. Rich to discuss about how the changing economic trends and politics of the GCC are Affecting U.S. Security Interests.
Causal Inference in Education Research Seminar (CIERS)
Donors have long engaged the private sector by tying foreign aid, forcing recipients to buy from donor countries. But recently, donors have partnered with private money on a larger scale, making tied aid an important area of interest.
David Atkin, MIT on A New Engel on the Gains from Trade. Measuring the gains from trade and their distribution is challenging. Recent empirical contributions have addressed this challenge by drawing on rich and newly available sources of microdata to measure changes in household nominal incomes and price indices. While such data have become available for some components of household welfare, and for some locations and periods, they are typically not available for the entire consumption basket. In this paper, we propose and implement an alternative approach that uses rich, but widely available, expenditure survey microdata to estimate theory-consistent changes in income-group specific price indices and welfare. Our approach builds on existing work that uses linear Engel curves and changes in expenditure on income-elastic goods to infer unobserved real incomes. A major shortcoming of this approach is that while based on non-homothetic preferences, the price indices it recovers are homothetic and hence are neither theory consistent nor suitable for distributional analysis when relative prices are changing. To make progress, we show that we can recover changes in income-specific price indices and welfare from horizontal shifts in Engel curves if preferences are quasi-separable (Gorman, 1970; 1976) and we focus on what we term “relative Engel curves”. Our approach is flexible enough to allow for the highly non-linear Engel curves we document in the data, and for non-parametric estimation at each point of the income distribution. We first implement this approach to estimate changes in cost of living and household welfare using Indian microdata. We then revisit the impacts of India’s trade reforms across regions.
Causal Inference in Education Research Seminar (CIERS)
This webinar on January 29, 2019 was jointly hosted by CLOSUP and the Michigan Municipal League. The webinar features Professor Manny Teodoro from Texas A&M University, speaking on water and sewer system finance and policy, including how to measure affordability, and policy options for rate structures and related issues.
This one-day symposium aims to grapple with this growing controversy, and explore ways forward for patents and patent systems that maximizes the public interest and social justice. The day will end with a book talk and reception celebrating the publication of Shobita Parthasarathy’s Patent Politics: Life Forms, Markets, and the Public Interest in the United States and Europe (University of Chicago Press, 2017).
