Dwight Steward

EmployStats - Economists and Statisticians

Economist

1920 East Riverside Drive

Ste. A-120 #260

Austin, TX 78741

United States

http://https://www.employstats.com/dwight-steward

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SCHOLARLY PAPERS

5

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Scholarly Papers (5)

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1.

Back Pay and Front Pay Calculations in Employment Termination Cases: Accounting for Re-Employment and Mitigation Efforts

Number of pages: 20 Posted: 13 Aug 2008
Dwight Steward and Stephanie Botello
EmployStats - Economists and Statisticians and affiliation not provided to SSRN
Downloads 1,239 (18,488)

Abstract:

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economic damages, wage loss, back and front pay

2.

Executive Stock-Based Compensation: A Case Study in Valuing Employee Stock Options and Restricted Stock Issues in a Breach of Contract Case

Number of pages: 17 Posted: 03 Mar 2010
Dwight Steward
EmployStats - Economists and Statisticians
Downloads 269 (130,695)

Abstract:

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Employee Stock Options, Hull White, Stock Option Pricing, Black Scholes, Breach of Employment Contract

3.

How Long Do Mexican Migrants Work in the U.S.?

Number of pages: 16 Posted: 07 Dec 2006
Dwight Steward, Amy Raub and Jeannie Elliott
EmployStats - Economists and Statisticians, Econ One Research, Inc. and Econ One Research, Inc.
Downloads 140 (236,265)

Abstract:

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worklife expectancy, migrant workers, mexican migrant workers, undocumented workers, illegal immigration

4.

Estimating Recidivism Risk in Earnings Loss Calculations for Persons Recently Released from Incarceration

Number of pages: 16 Posted: 03 Feb 2011
Dwight Steward
EmployStats - Economists and Statisticians
Downloads 67 (383,049)

Abstract:

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Criminal Recidivism, Survival Model, Cox Proportional Hazards, Wage Loss, Criminal History, Economic Damages, BMI, Somatypes, BMI, Incarceration Risk

5.

Economics and Statistics Experts in Wage and Hour Litigation

Number of pages: 11 Posted: 28 Dec 2019
Dwight Steward and Matt Rigling
EmployStats - Economists and Statisticians and EmployStats
Downloads 27 (547,009)

Abstract:

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Wage and Hour, Sampling, Surveys, Statistics, Economics, Expert, Big Data, Margin of Error