[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
  EconPapers    
Economics at your fingertips  
 

Estimating the Long-Run Creditworthiness of Pakistan

Rimsha Karim Hashmi and Abdul Qayyum

MPRA Paper from University Library of Munich, Germany

Abstract: The paper analyzes the long-run creditworthiness of Pakistan. The analysis is conducted on time series data of the years 1972-2013. Two Probit Models are estimated by Maximum Likelihood Method. Three specifications of Probit Model of long-run creditworthiness of Pakistan are estimated. These alternative specifications are due to measurement of expected net capital inflows/GDP ratio. It is found that with the inclusion of lagged net capital inflows/GDP ratio in the first Probit Model, the DS/GDP ratio and INV/GDP ratio are found to be significantly impacting the long-run creditworthiness of Pakistan. In the second Probit Model, when POP/GDP ratio is included as an alternate to INV/GDP ratio, the two alternative specifications for expected net capital inflows/GDP ratio mainly the current values of net capital inflows/GDP ratio and the lagged values of net capital inflows/GDP ratio, DS/GDP ratio and POP/GDP ratio all significantly impact the long-run creditworthiness of Pakistan.

Keywords: Long-run creditworthiness; Pakistan; Probit Model; Maximum Likelihood Method (search for similar items in EconPapers)
JEL-codes: F3 (search for similar items in EconPapers)
Date: 2016-04
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/70529/1/MPRA_paper_70529.pdf original version (application/pdf)

Related works:
Working Paper: Estimating the Long-Run Creditworthiness of Pakistan (2017) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:70529

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2024-12-28
Handle: RePEc:pra:mprapa:70529