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

α
Mehdi Hojjat
Mehdi Hojjat
α Neumann University

Send Message

To: Author

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

Article Fingerprint

ReserarchID

1ZR96

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

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

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

10 Cites in Article
  1. Robert Mazur (2013). How to Halt Terrorism Money Train.
  2. N Pollard (2006). Addressing illicit trade in food and food fraud.
  3. U (2014). Bureau of the Census.
  4. (2010). High-value MEMS are projected to reach US$1.6 billion in 2010, up 29.7 percent from US$1.2 billion in 2009.
  5. Joseph Daniels,Davis Vanhoose (1999). Unknown Title.
  6. A Sakyi & Kwesi (2013). Money Laundering, Drug Trafficking, Corruption.
  7. D Morphy (2013). Money Laundering and the Drug Trade: The Role of the Banks.
  8. Robert Mazur (2013). How to Halt Terrorism Money Train.
  9. N Pollard (2006). Addressing illicit trade in food and food fraud.
  10. (2011). World Drug Report 2011.

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. \u201cDrug Trade and Statistical Discrepancies in the U.S. Balance of Payments\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 14 (GJHSS Volume 14 Issue E4): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Version of record

v1.2

Issue date

August 30, 2014

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 4323
Total Downloads: 2303
2026 Trends
Related Research

Published Article

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.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

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

Mehdi Hojjat
Mehdi Hojjat Neumann University

Research Journals