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Time series analysis of the nexus among corruption, political instability and judicial inefficiency in Pakistan

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  • Aisha Ismail
  • Kashif Rashid

Abstract

The purpose of this study is two folds: firstly, to analyze the direction of causality between corruption and political instability directly and secondly, to determine the causality between corruption and political instability indirectly through judicial inefficiency in Pakistan. The causality between corruption, political instability and judicial inefficiency is tested by applying Toda–Yamamoto Granger causality test. The results show that there is a lack of direct causal relationship between corruption and political instability. However, political instability and corruption cause each other indirectly through judicial inefficiency. The study highlights the critical role of judicial inefficiency leading to an important policy implication. Copyright Springer Science+Business Media Dordrecht 2014

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  • Aisha Ismail & Kashif Rashid, 2014. "Time series analysis of the nexus among corruption, political instability and judicial inefficiency in Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2757-2771, September.
  • Handle: RePEc:spr:qualqt:v:48:y:2014:i:5:p:2757-2771
    DOI: 10.1007/s11135-013-9922-5
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    1. Fauvrelle Thiago A. & Tony C Almeida Alessio, 2018. "Determinants of Judicial Efficiency Change: Evidence from Brazil," Review of Law & Economics, De Gruyter, vol. 14(1), pages 1-36, March.
    2. Eugen Dimant & Guglielmo Tosato, 2018. "Causes And Effects Of Corruption: What Has Past Decade'S Empirical Research Taught Us? A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 335-356, April.
    3. Zeeshan, Muhammad & han, Jiabin & Rehman, Alam & Ullah, Irfan & Hussain, Arif & Alam Afridi, Fakhr E., 2022. "Exploring symmetric and asymmetric nexus between corruption, political instability, natural resources and economic growth in the context of Pakistan," Resources Policy, Elsevier, vol. 78(C).
    4. Yu Hao & Chun-Ping Chang & Zao Sun, 2018. "Women and corruption: evidence from multinational panel data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1447-1468, July.

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