Modeling Unemployment by Race and Gender: A Non-Linear Time Series Approach

Bradley T. Ewing; William Levernier; Farooq Malik

Modeling Unemployment by Race and Gender: A Non-Linear Time Series Approach

Bradley T. Ewing
, William Levernier
, Farooq Malik

Finance

Texas Tech University

Research output: Contribution to journal › Article › peer-review

Abstract

This article was published in Eastern Economic Journal.

Original language	American English
Journal	Eastern Economic Journal
Volume	31
State	Published - Jul 1 2005

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Disciplines

Economics

Keywords

Gender
Modeling unemployment rates
Nonlinear time series
Race

Access to Document

https://www.jstor.org/stable/40326416

Cite this

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AU - Ewing, Bradley T.

AU - Levernier, William

AU - Malik, Farooq

PY - 2005/7/1

Y1 - 2005/7/1

N2 - This article was published in Eastern Economic Journal.

AB - This article was published in Eastern Economic Journal.

KW - Gender

KW - Modeling unemployment rates

KW - Nonlinear time series

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UR - https://www.jstor.org/stable/40326416

M3 - Article

SN - 0094-5056

VL - 31

JO - Eastern Economic Journal

JF - Eastern Economic Journal

ER -

Modeling Unemployment by Race and Gender: A Non-Linear Time Series Approach

Abstract

UN SDGs

Disciplines

Keywords

Access to Document

Other files and links

Cite this