Publications

SSRN

July 2017
Article

Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments

By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia

Information frictions play a central role in the formation of household inflation expectations, but there is no consensus about their origins. We address this question with novel evidence from survey experiments. We document two main findings. First, individuals in... View Details

Keywords: Inflation Expectations; Survey Experiment; Rational Inattention; Supermarkets; Macroeconomics; Household; Inflation and Deflation; Policy

2023
Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill

In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias

Article

Do Post-menopausal Women Provide More Care to Their Kin?: Evidence of Grandparental Caregiving from Two Large-scale National Surveys

By: Marlise Hofer, Hanne Collins, Gita D. Mishra and Mark Schaller

Drawing on the logical principles of life-history theory, it may be hypothesized that—compared to pre-menopausal women—post-menopausal women will spend more time caring for grandchildren and other kin. This hypothesis was tested in two studies, on results obtained from... View Details

05 Dec 2019
HBS Seminar

Georgia Perakis, MIT Sloan School of Management

TeachingInterests

Applied Business Analytics

Course Overview:

Business Analytics has become a core function in many firms today and is driving innovation in the form of new business and operating models. Data-driven decision-making requires understanding of statistics, computer... View Details

January 10, 2022
Article

The Link Between Income, Income Inequality, and Prosocial Behavior Around the World: A Multiverse Approach

By: Lucia Macchia and Ashley V. Whillans

The questions of whether high-income individuals are more prosocial than low-income individuals and whether income inequality moderates this effect have received extensive attention. We shed new light on this topic by analyzing a large-scale dataset with a... View Details

Keywords: Prosocial Behavior; Income Inequality; Behavior; Philanthropy and Charitable Giving; Income

April–June 2022
Other Article

Commentary on 'Causal Decision Making and Causal Eﬀect Estimation Are Not the Same... and Why It Matters'

By: Edward McFowland III

There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details

Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness

January 2008
Background Note

Equity Options

By: Joshua Coval and Erik Stafford

The goal of this simulation is to understand the reliance of option values on volatility. When an investor trades an option, they are essentially trading volatility. Therefore, much of the focus in this lesson is on forecasting volatility. Students are able to use two... View Details

Keywords: Volatility; Forecasting and Prediction; Stock Options; Investment Return; Price; Market Transactions; Mathematical Methods; Value

Educators

November 1976
Article

Partial Equilibrium Approach to the Free-Rider Problem

By: Jerry R. Green, Elon Kohlberg and Jean-Jacques Laffont

Groves and others have shown that truthful answers concerning preferences for public goods can be elicited as dominant strategies if appropriate tax-subsidies rules are applied. This paper studies the statistical properties of the total revenues generated by one of the... View Details

Keywords: Problems and Challenges

16 Dec 2013
News

The Way of The Blockbuster

11 Mar 2008
Working Paper Summaries

Finding Missing Markets (and a disturbing epilogue): Evidence from an Export Crop Adoption and Marketing Intervention in Kenya

Keywords: by Nava Ashraf, Xavier Giné & Dean Karlan; Food & Beverage

2019
Article

An Empirical Study of Rich Subgroup Fairness for Machine Learning

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details

Keywords: Machine Learning; Fairness; AI and Machine Learning

June 2010 (Revised September 2011)
Background Note

An Overview of Project Finance and Infrastructure Finance--2009 Update

By: Benjamin C. Esty and Aldo Sesia

Provides an introduction to the fields of project finance and infrastructure finance and gives a statistical overview of project-financed investments over the years from 2005 to 2009. Examples of project-financed investments include the $1.4 billion Mozal aluminum... View Details

Keywords: Project Finance; Infrastructure; Investment; Projects; Trends

Educators