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Discrepancies and validation of Indian manufacturing data

Author

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  • Bedi, Jatinder S.

Abstract

It is important to remove the discrepancies in data in the various segments of the manufacturing sector, namely, factory, non-factory, small, medium and large-scale sectors, to have a proper estimates of the state of manufacturing. These have an important bearing on estimated of the peprformance of the sector and have long-term implication from the policy and planning perpectives.

Suggested Citation

  • Bedi, Jatinder S., 2007. "Discrepancies and validation of Indian manufacturing data," MPRA Paper 43036, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:43036
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    File URL: https://mpra.ub.uni-muenchen.de/43036/1/MPRA_paper_43036.pdf
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    Citations

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    Cited by:

    1. Nataraj, Shanthi, 2011. "The impact of trade liberalization on productivity: Evidence from India's formal and informal manufacturing sectors," Journal of International Economics, Elsevier, vol. 85(2), pages 292-301.
    2. Urmila Chatterjee & Ravi Kanbur, 2013. "Regulation and Non-Compliance : Magnitudes and Patterns for India's Factories Act," World Bank Publications - Reports 16717, The World Bank Group.
    3. Allen, Jeffrey & Nataraj, Shanthi & Schipper, Tyler C., 2018. "Strict duality and overlapping productivity distributions between formal and informal firms," Journal of Development Economics, Elsevier, vol. 135(C), pages 534-554.
    4. Urmila CHATTERJEE & Ravi KANBUR, 2015. "Non-compliance with India's Factories Act: Magnitude and patterns," International Labour Review, International Labour Organization, vol. 154(3), pages 393-412, September.

    More about this item

    Keywords

    Industry; Industrial policy;

    JEL classification:

    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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