In recent years, “period poverty” has come to be seen as an important development issue, with sanitary pads becoming the main solution. Rather than the result of systematic and unbiased evidence gathering, however, Parthasarathy argues that this problem and solution are the result of the new credibility regimes that underlie development governance today.
Join the Program for Practical Policy Engagement, Communications & Outreach, Public Engagement & Impact, and Michigan News for a Getting Stuff Done: Communications Skills Series.
In his new book, The Once and Future Worker, Manhattan Institute scholar Oren Cass challenges our basic assumptions about what prosperity means and where it comes from.
The massive dollar amounts associated with student loan debt and the impact on individuals and the financial stability of the overall economy has attracted the attention of journalists, economists, and average Americans. There are, however, several myths associated with these eye-popping numbers, and Susan Dynarski, Professor of public policy, education and economics will discuss a few of these myths in our January Blue Bag Lunch Talk.
For example, in a recent paper for Brookings, "The Trouble with Student Loans? Low Earnings, Not High Debt," Professor Dynarski debunks the popular notion that more student debt leads to higher student loan default rates.
In fact, research shows that default rates are highest among individuals with smaller loan balances. Students borrowing under $5,000 default at a rate of 34 percent, compared to 18 percent for those borrowing more than $100,000.
Among policy proposals advocated by Professor Dynarski to address the student loan crisis is to automatically enroll borrowers who are late on payments in income-based repayment, or adjust loan payments each pay period, similar to the current income-tax withholding system.
Join Ford School students on Wednesday, December 12, 2018 from 1pm-2:30pm for their final Applied Policy Seminar student flash presentations in the Betty Ford Classroom (1110)/Weill Hall. Reception to follow.RSVP Here.
In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.
This will be a presentation of two large-scale field experiments designed to test the hypothesis that group membership can increase participation and pro-social lending for an online crowdlending community, Kiva. The first experiment uses variations on a simple email manipulation to encourage Kiva members to join a lending team, testing which types of team recommendation emails are most likely to get members to join teams as well as the subsequent impact on lending. We find that emails do increase the likelihood that a lender joins a team, and that joining a team increases lending in a short window following our intervention. The impact on lending is large relative to median lender lifetime loans. We also find that lenders are more likely to join teams recommended based on location similarity rather than team status. Our results suggest team recommendations can be an effective behavioral mechanism to increase pro-social lending. In a second field experiment, we manipulate forum messages to explore the underlying mechanisms for teams to be effective.
This day is an opportunity for Fordies around the globe to come together and support what each of us loves about the Ford School. One day. All of us. What will you do in one day?
This Symposium is intended to provide an overview of the legal mechanisms and challenges in responding to extremist organizations, as well as an opportunity to work in interdisciplinary teams to address the issues.
The objective of the North American Colloquium is to provide a forum that strengtens a wider North American Conversation and more fruitful trilateral cooperation between Canada, Mexico and the US. Colloquium will allow for distinct internal/regional and indigenous perspectives within each country to be showcased.
U. S. Department of the Treasury, Cash Room
Washington, DC
The U.S. Office of Financial Research and the University of Michigan’s Center on Finance, Law, and Policy will bring together regulators, policymakers, lawyers, economists, financial institutions, investors, financial technology companies, and experts on data science, cybersecurity, and finance.
Estimating intergenerational mobility in developing countries is difficult because matched parent-child income records are rarely available and education is measured very coarsely. In particular, there are no established methods for comparing educational mobility for subsamples of the population when the education distribution is changing over time.
This panel of three experts examines the psychological, political, and legal impact of the policy on the families, policy makers, and public opinions, asking the question of what's at stake.
Sports remains a fascination to millions of Americans but also presents a great range of challenging public policy issues at both the professional and collegiate levels. Please join us for a candid conversation about "Sports in America" with former Los Angeles Dodger General Manager Ned Colletti.
Join the Ford School's Michigan in Politics and Policy class to hear Randy Liepa, Superintendent of Wayne Regional Educational Service Agency discuss the current state of K-12 education in Michigan. This lecture is free and open to the public!
The Ford School and the Panel Study of Income Dynamics (PSID) will host a reception for alumni and friends in connection with APPAM's annual fall conference in Washington, DC.
Indo-Pacific Conference organized by International Policy Center and Center for Japanese Studies features a keynote by Susan Thornton, Assistant Secretary of State for East Asian and Pacific Affairs.
Languages use different systems for classifying nouns. Gender languages assign many — sometimes all — nouns to distinct sex-based categories, masculine and feminine. We construct a new data set, documenting this property for more than four thousand languages which together account for more than 99 percent of the world’s population.
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.
The Critical Race Theory (CRT) Discussion Series is co-sponsored by the Ford School and the University of Michigan Law School. Graduate and professional students are invited to join us for our third session, "Big Data, Incivility, and Social Media." Lunch will be provided.
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.
