Determining economic factors for sex trafficking in the United States using count time series regression

Bibliographic Data

ID21542418
AuthorsYuhyeong Jang, Yu‐Hyeong Jang (Southern Methodist University), Raanju R Sundararajan (0000-0002-3281-3407, Southern Methodist University, corresponding author), Wagner Barreto-Souza (0000-0003-0831-7881, University College Dublin), Elizabeth M Wheaton (0000-0002-3345-3044, Southern Methodist University), Elizabeth Wheaton-Paramo
Year2024
Volume67
Issue1
Pages337-354
Publication date2024-07-01
Open AccessYes
TypeARTICLE
VenueEmpirical Economics (JOURNAL)
Journal identifiersISSN: 0377-7332 • E-ISSN: 1435-8921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00181-023-02549-w
OpenAlexW4391215520
LanguageEN
Citations received1
References cited17

The article presents a robust quantitative approach for determining significant economic factors for sex trafficking in the United States. The aim is to study monthly counts of sex trafficking-related convictions, and use a wide range of economic variables as covariates to investigate their effect on conviction counts. A count time series model is considered along with a regression setup to include economic time series as covariates (economic factors) to explain the counts on sex trafficking-related convictions. The statistical significance of these economic factors is investigated and the significant factors are ranked based on appropriate model selection methods. The inclusion of time-lagged versions of the economic factor time series in the regression model is also explored. Our findings indicate that economic factors relating to immigration policy, consumer price index and labor market regulations are the most significant in explaining sex trafficking convictions

Biology · Count data · Econometrics · Economics · Regression · Regression analysis · Statistics · Time series · Mathematics · Sex work and related issues

Tools

Open DOIOpen Access