IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/109519.html
   My bibliography  Save this paper

An Economic Analysis on The Social Cost of Illegal Immigration

Author

Listed:
  • Van, Germinal
  • Orellana, Jose

Abstract

The purpose of this paper is to analyze the economic cost of illegal immigration in the United States since the 1990s and its consequences on American society. Indeed, illegal immigration has been a major topic of discussion among the main social issues during election cycles in the United States. Those who lean more conservative have argued that illegal immigration is an externality that increase social cost. They argue that illegal immigrants increase the cost of healthcare, public education, and welfare programs such as Medicaid and food stamps. And the cost falls on the American taxpayer. Those who lean more liberal argue that the government should create social programs to assist illegal immigrants in helping them adjusting and conforming their immigration status to the laws and customs of the United States. This paper has two objectives: (1) to determine if illegal immigration imposes a higher social cost on the American taxpayer based on a multivariate regression analysis, (2) to propose recommendations to help the illegal immigrants becoming legal while minimizing the future social cost of illegal immigration on the American taxpayer. Our findings show that there is a correlational relationship between illegal immigration and the cost of social welfare, and this correlational relationship is of strong magnitude.

Suggested Citation

  • Van, Germinal & Orellana, Jose, 2021. "An Economic Analysis on The Social Cost of Illegal Immigration," MPRA Paper 109519, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:109519
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/109519/1/MPRA_paper_109519.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Econometrics; Economic Analysis; Applied Economics; Econometric Modelling; Multivariate Regression Analysis; Statistical Modelling;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • D60 - Microeconomics - - Welfare Economics - - - General
    • H4 - Public Economics - - Publicly Provided Goods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:109519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.