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Empirical Psychology Between Wholesale Price And Consumer Price Indices: The Case Of Pakistan

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  • MUHAMMAD SHAHBAZ

    (COMSATS Institute of Information Technology, Lahore, Pakistan)

  • ABU N. M. WAHID

    (Department of Economics and Finance, Tennessee State University, USA)

  • ADNAN HAIDER

    (Research Department, State Bank of Pakistan, Karachi, Pakistan)

Abstract

In a small open economy, the retail sector adds value with a lag to existing production and uses existing domestic production as an input. Therefore, demand side dynamics depend on the wholesale prices of the domestic goods, the prices of the imported goods, the nominal exchange rate, the level of indirect taxes, the marginal cost of retail production and interest rates. Hence, this mechanism provides a theoretical basis for causality from wholesale prices to consumer prices. Being motivated by this causal transmission mechanism, this paper tries to examine the causal relationship between wholesale prices and consumer prices in a small developing economy like Pakistan. Empirical methodology uses recently developed tests for the existence of a long-run relationship between wholesale prices and consumer prices. Typically, in applied analysis, testing for the existence of cointegration and causality can only be carried out once the time series properties of the data have been established. For example, tests for cointegration require the variables to be integrated to the same order, typicallyI(1), prior to estimation. By eliminating the need for unit root pre-testing, the tests applied here considerably simplify the inference procedure. They also reduce the potential for distortions in the inference due to the unknown properties of the testing sequence. Our findings include robust evidence that, for Pakistan, there is a bidirectional causality between wholesale prices and consumer prices. Feedback impact shows that influences from the wholesale price index (WPI) to the consumers' price index (CPI) is stronger or dominating as compared to feedback from CPI to WPI supporting the Cushing-McGarvey (1990) hypothesis.

Suggested Citation

  • Muhammad Shahbaz & Abu N. M. Wahid & Adnan Haider, 2010. "Empirical Psychology Between Wholesale Price And Consumer Price Indices: The Case Of Pakistan," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 55(03), pages 537-551.
  • Handle: RePEc:wsi:serxxx:v:55:y:2010:i:03:n:s0217590810003882
    DOI: 10.1142/S0217590810003882
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Rao, Nasir Hamid & Bukhari, Syed Kalim Hyder, 2010. "Asymmetric Shocks and Co-movement of Price Indices," MPRA Paper 28723, University Library of Munich, Germany.
    2. Shahbaz, Muhammad & Tiwari, Aviral Kumar & Tahir, Mohammad Iqbal, 2012. "Does CPI Granger-cause WPI? New extensions from frequency domain approach in Pakistan," Economic Modelling, Elsevier, vol. 29(5), pages 1592-1597.
    3. Aviral Kumar Tiwari & Muhammad Shahbaz, 2013. "Modelling the Relationship between Whole Sale Price and Consumer Price Indices: Cointegration and Causality Analysis for India," Global Business Review, International Management Institute, vol. 14(3), pages 397-411, September.
    4. Kai-Yin Woo & Shu-Kam Lee & Cho-Yiu Joe Ng, 2018. "An Investigation Into The Dynamic Relationship Between Cpi And Ppi: Evidence From The Uk, France And Germany," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(05), pages 1081-1100, July.
    5. Mohd, Rafede & Masih, Mansur, 2018. "Testing the asymmetric and lead-lag relationship between CPI and PPI: an application of the ARDL and NARDL approaches," MPRA Paper 112500, University Library of Munich, Germany.
    6. Shahbaz, Muhammad & Ur Rehman, Ijaz & Zainudin, Rozaimah, 2013. "Macroeconomic Determinants of Stock Market Capitalization in Pakistan:Fresh Evidence from Cointegration with unknown Structural breaks," MPRA Paper 52490, University Library of Munich, Germany, revised 24 Dec 2013.
    7. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    8. Jing Sun & Jinhui Xu & Xin Cheng & Jichao Miao & Hairong Mu, 2023. "Dynamic causality between PPI and CPI in China: A rolling window bootstrap approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1279-1289, April.
    9. Tiwari, Aviral Kumar & Suresh K.G., & Arouri, Mohamed & Teulon, Frédéric, 2014. "Causality between consumer price and producer price: Evidence from Mexico," Economic Modelling, Elsevier, vol. 36(C), pages 432-440.
    10. Ivo da Rocha Lima Filho, Roberto, 2019. "Does PPI lead CPI IN Brazil?," International Journal of Production Economics, Elsevier, vol. 214(C), pages 73-79.
    11. Sun, Qingru & Gao, Xiangyun & Wen, Shaobo & Chen, Zhihua & Hao, Xiaoqing, 2018. "The transmission of fluctuation among price indices based on Granger causality network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 36-49.

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    More about this item

    Keywords

    Wholesale prices; consumer prices; causality; cointegration; Pakistan; C20; I10;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

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