Drug Trade and Statistical Discrepancies in the U.S. Balance of Payments

Mehdi Hojjat

Drug Trade and Statistical Discrepancies in the U.S. Balance of Payments

Mehdi Hojjat * §

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§ Neumann University

Drug Trade and Statistical Discrepancies in the U.S. Balance of Payments

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Abstract

This paper tests the hypothesis that residual values in balance of payment accounting are a random variable. Previous research in this area has been satisfied with an explanation that these residual values are just statistical discrepancies and are random in nature. This paper reveals a structural problem with the way balance of payment accounting has been set up and data are collected. The research proves that there is a positive bias about these values. Moreover, the research shows that there is a positive relationship between the size of the illicit drug market and the statistical discrepancies in the U.S. balance of payments.

References

9 Cites in Article

Reference Format

1. U.S. Bureau of the Census (2014). Retrieved from.
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6. D. Morphy (2013). Money Laundering and the Drug Trade: The Role of the Banks. Center for Research for Globalization. Retrieved from
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mehdi Hojjat. 2014. "Drug Trade and Statistical Discrepancies in the U.S. Balance of Payments". Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 14 (GJHSS Volume 14 Issue 31 (E4)).

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GJHSS Volume 14 Issue 31 (E4)

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

balance of payment accounting balance of payments drug trade statistical discrepancies

Classification

GJHSS-E Classification FOR Code: 140299

Submission ReceivedDecember 6, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published June 20, 2014

Version of record

v1.2

Issue date

June 20, 2014

Language

English

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Article Matrices

Total Score: 131

Country: United States

Subject: Global Journal of Human-Social Science - E: Economics

Authors: Mehdi Hojjat (PhD/Dr. count: 0)

View Count (all-time): 299

Total Views (Real + Logic): 1036

Total Downloads (simulated): 83

Publish Date: 2014 06, Fri

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Total Views: 1K

Total Downloads: 83

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