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A hands-on machine learning primer for social scientists : math, algorithms and code

Askitas, Nikos - 2024

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social … adage "once you understand OLS, you can work your way up to any other estimator," and apply it to Machine Learning. Focusing … and fire some trailblazers to the forefront of AI and causal machine learning. …

Persistent link: https://www.econbiz.de/10014535259

Setting priorities in school choice enrollment systems : who benefits from placement algorithm preferences?

Valant, Jon; Walker, Brigham - 2024

schools. This study explores whether the New Orleans placement algorithm favored students of certain races or socioeconomic …

Persistent link: https://www.econbiz.de/10014464130

Algorithmic bias and racial inequality : a critical review

Kasy, Maximilian - 2024

Most definitions of algorithmic bias and fairness encode decisionmaker interests, such as profits, rather than the interests of disadvantaged groups (e.g., racial minorities): Bias is defined as a deviation from profit maximization. Future research should instead focus on the causal effect of...

Persistent link: https://www.econbiz.de/10014520756

Corrupted by algorithms? : how AI-generated and human-written advice shape (dis)honesty

Leib, Margarita; Köbis, Nils; Rilke, Rainer Michael; … - 2023

people to behave dishonestly. In an experiment, we study how AI advice (generated by a Natural-Language-processing algorithm …

Persistent link: https://www.econbiz.de/10014311663

Becker meets Ricardo : multisector matching with social and cognitive skills

McCann, Robert J.; Shi, Xianwen; Siow, Aloysius; … - 2012

communicate and coordinate at lower resource cost. The theory delivers full task specialization in the labor and education markets …

Persistent link: https://www.econbiz.de/10009537710

SISTA: learning optimal transport costs under sparsity constraints

Carlier, Guillaume; Dupuy, Arnaud; Galichon, Alfred; … - 2021

between countries. This application demonstrates the effectiveness of machine learning in quantitative social sciences. …

Persistent link: https://www.econbiz.de/10012519120

Manipulation of choice behavior

Manzini, Paola; Mariotti, Marco; Tyson, Christopher J. - 2011

We introduce and study the problem of manipulation of choice behavior. In a class of two-stage models of decision making, with the agent's choices determined by three "psychological variables," we imagine that a subset of these variables can be selected by a "manipulator." To what extent does...

Persistent link: https://www.econbiz.de/10009312203

Strive to be first or avoid being last : an experiment on relative performance incentives

Dutcher, E. Glenn; Balafoutas, Loukas; Lindner, Florian; … - 2015

We utilize a laboratory experiment to compare effort provision under optimal tournament contracts with different distributions of prizes which motivate agents to compete to be first, avoid being last, or both. We find that the combined tournament contract incorporating both incentives at the top...

Persistent link: https://www.econbiz.de/10011337036

The dynamics of domestic violence: learning about the match

Anderberg, Dan; Mantovan, Noemi; Sauer, Robert M. - 2021

We present a dynamic lifecycle model of women's choices with respect to partnership status, labour supply and fertility when they cannot directly observe whether a given male partner is of a violent type or not. The model is estimated by the method of simulated moments using longitudinal data...

Persistent link: https://www.econbiz.de/10012549780

Measuring bias in job recommender systems : auditing the algorithms

Zhang, Shuo; Kuhn, Peter Joseph - 2024

We audit the job recommender algorithms used by four Chinese job boards by creating fictitious applicant profiles that differ only in their gender. Jobs recommended uniquely to the male and female profiles in a pair differ modestly in their observed characteristics, with female jobs advertising...

Persistent link: https://www.econbiz.de/10015050843