The Economics of Healthcare Fraud

Healthcare fraud imposes a sizable cost on U.S. public healthcare budgets and distorts health care provision. We examine the economics of health care fraud and enforcement using theory and data and connect to a growing literature on the topic. We first offer a new economic definition of health care fraud that captures and connects the wide range of activities prosecuted as fraud. We define fraud as any divergence between the care an insurer says a patient qualifies for, the care a provider provides, and the care a provider bills for. Our definition clarifies the economic consequences of different categories of fraud and provides a framework for understanding the slate of existing studies. Next, we examine the incentives for committing and for prosecuting fraud. We show how fraud is driven by a combination of inadequate (expected) penalties for fraud and imperfect reimbursement rates. Public anti-fraud litigation is driven by the relative monetary, political or career returns to prosecuting fraud and by prosecutorial budgets. Finally, we examine the prevalence of health care fraud prosecutions across types of fraud and types of care, and across the US, by machine learning on text data from Department of Justice press releases.

Publication Details

Journal
eYLS (Yale Law School)
Published
2025-01-01
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Economics of Healthcare Fraud

eYLS (Yale Law School)
Imbalanced Data Classification Techniques
article

The Economics of Healthcare Fraud

article en

Abstract

Healthcare fraud imposes a sizable cost on U.S. public healthcare budgets and distorts health care provision. We examine the economics of health care fraud and enforcement using theory and data and connect to a growing literature on the topic. We first offer a new economic definition of health care fraud that captures and connects the wide range of activities prosecuted as fraud. We define fraud as any divergence between the care an insurer says a patient qualifies for, the care a provider provides, and the care a provider bills for. Our definition clarifies the economic consequences of different categories of fraud and provides a framework for understanding the slate of existing studies. Next, we examine the incentives for committing and for prosecuting fraud. We show how fraud is driven by a combination of inadequate (expected) penalties for fraud and imperfect reimbursement rates. Public anti-fraud litigation is driven by the relative monetary, political or career returns to prosecuting fraud and by prosecutorial budgets. Finally, we examine the prevalence of health care fraud prosecutions across types of fraud and types of care, and across the US, by machine learning on text data from Department of Justice press releases.

eYLS (Yale Law School)
Peace, Justice and strong institutions
Openalex Percentile: Top 72%
Imbalanced Data Classification Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.