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Why Are Concavity Conditions Not Satisfied in the Cost Function? The Case of Japanese Manufacturing Firms during the Bubble Period

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  • Kazuo Ogawa

Abstract

This paper examines empirically some of the reasons why Japanese manufacturing firms frequently fail to satisfy concavity conditions of the cost function. We focus on the "bubble period" in the 1980s when land was in great demand for reasons related to both production and speculation, and land prices soared. By estimating the translog cost function with land as one of production inputs for manufacturing firms, we find that violation of concavity resulted from borrowing constraints and large adjustments of employment. We also demonstrate that elasticities of substitution between land and other inputs and input demand with respect to land rental prices are both estimated with large biases if the firms violating concavity are not excluded from the analysis.
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  • Kazuo Ogawa, 2011. "Why Are Concavity Conditions Not Satisfied in the Cost Function? The Case of Japanese Manufacturing Firms during the Bubble Period," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 556-580, August.
  • Handle: RePEc:bla:obuest:v:73:y:2011:i:4:p:556-580
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    1. Ogawa, Kazuo & Kitasaka, Shin-ichi & Yamaoka, Hiroshi & Iwata, Yasuharu, 1996. "Borrowing Constraints and the Role of Land Asset in Japanese Corporate Investment Decision," Journal of the Japanese and International Economies, Elsevier, vol. 10(2), pages 122-149, June.
    2. Ogawa, Kazuo & Suzuki, Kazuyuki, 1998. "Land Value and Corporate Investment: Evidence from Japanese Panel Data," Journal of the Japanese and International Economies, Elsevier, vol. 12(3), pages 232-249, September.
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    4. Ogawa, K. & Suzuki K., 1996. "Demand for Bank Loans Under Borrowing Constraints: A Panel Study of Japanese Firm Data," ISER Discussion Paper 0409, Institute of Social and Economic Research, Osaka University.
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    7. Chew Chua & Hsein Kew & Jongsay Yong, 2005. "Airline Code-share Alliances and Costs: Imposing Concavity on Translog Cost Function Estimation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 26(4), pages 461-487, June.
    8. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    9. Jorgenson, Dale W., 1986. "Econometric methods for modeling producer behavior," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 31, pages 1841-1915, Elsevier.
    10. Terrell, Dek, 1996. "Incorporating Monotonicity and Concavity Conditions in Flexible Functional Forms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 179-194, March-Apr.
    11. Ogawa, Kazuo & Suzuki, Kazuyuki, 2000. "Demand for Bank Loans and Investment under Borrowing Constraints: A Panel Study of Japanese Firm Data," Journal of the Japanese and International Economies, Elsevier, vol. 14(1), pages 1-21, March.
    12. Ryan, David L. & Wales, Terence J., 2000. "Imposing local concavity in the translog and generalized Leontief cost functions," Economics Letters, Elsevier, vol. 67(3), pages 253-260, June.
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    2. Song, Ze & Li, Lianyou & Ma, Chao, 2013. "The EASI Demand System : Evidence from China Household," MPRA Paper 48435, University Library of Munich, Germany.
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    4. Li, Lianyou & Song, Ze & Ma, Chao, 2015. "Engel curves and price elasticity in urban Chinese Households," Economic Modelling, Elsevier, vol. 44(C), pages 236-242.
    5. Andrés Ramírez‐Hassan, 2021. "Bayesian estimation of the exact affine Stone index demand system: Replicating the Lewbel and Pendakur (2009) results," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 484-491, June.
    6. Shahiduzzaman, M.D. & Alam, Khorshed, 2014. "Interfuel substitution in Australia: a way forward to achieve environmental sustainability," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), January.
    7. Anupriya, & Graham, Daniel J. & Carbo, Jose M. & Anderson, Richard J. & Bansal, Prateek, 2020. "Understanding the costs of urban rail transport operations," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 292-316.

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