« Back to Results

Complex Damage Issues

Paper Session

Saturday, Jan. 7, 2023 10:15 AM - 12:15 PM (CST)

New Orleans Marriott, Preservation Hall Studio 9
Hosted By: National Association of Forensic Economics
  • Chair: John O. Ward, John Ward Economics

Preemptive Economic Analysis in Employment Discrimination

Joshua D. Spizman
,
Loyola Marymount University
Lawrence M. Spizman
,
SUNY-Oswego and Spizman Economics Associates

Abstract

The purpose of this analysis is to provide an econometric method to determine if inadvertent discrimination exists in wages for protected employees of an individual firm. Such an analysis can be part of a first line of defense to mitigate litigation outcomes by allowing an employer to rectify disparities prior to litigation. Additionally, contract and affirmative action compliance programs can be enhanced by showing proactive initiatives and remedies.

A Path for the American Economy to Move Forward

Roman Garagulagian
,
California State Polytechnic University-Pomona and Forensic Economic Services

Abstract

The modernization of U.S. antitrust laws is a necessity for the economic welfare of the United States. To protect American consumers, small businesses, and innovation online, the American Innovation and Choice Online Act, and the Open App Markets Act offer proposals to deal with possible harmful behaviors of large digital platforms. The policymakers claim they are to boost competition online, promote businesses, and empower consumers across the economy by passing these bills into law. Is there a need for more aggressive antimonopoly action?

Forecasting Inflation in Components of the CPI Medical Cost Index

David Rosenbaum
,
University of Nebraska-Lincoln
Christopher Mann
,
University of Nebraska-Lincoln

Abstract

A new method is proposed to project future costs for medical components of a life care plan. The technique estimates the historical link between inflation in medical components of the CPI and overall inflation. This linkage for each component can then be applied to a CPI forecast to project inflation in that underlying component. Estimates are made for 17 separate medical cost components of the CPI. Root mean square errors show that our proposed method for forecasting component inflation performs better than more commonly used forecast methods. Our method incorporates the best parts of both historical and forecasting methods; it utilizes information from the financial markets and professional surveys to form the baseline inflation forecast, then adjusts the value using historical data, thereby leveraging both expert opinion and empirical observation.

Discussant(s)
Scott D. Gilbert
,
Southern Illinois University-Cabondale
Edward T. Garcia
,
Sierra Economic Consulting, LLC
Thomas` Roney
,
Thomas Roney LLC
JEL Classifications
  • K3 - Other Substantive Areas of Law
  • D1 - Household Behavior and Family Economics