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Productivity Dispersion and Plant Selection in the Ready-Mix Concrete Industry

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  • Allan Collard-Wexler

Abstract

This paper presents a quantitative model of productivity dispersion to explain why inefficient producers are slowly selected out of the ready-mix concrete industry. Measured productivity dispersion between the 10th and 90th percentile falls from a 4 to 1 difference using OLS, to a 2 to 1 difference using a control function. Due to volatile productivity and high sunk entry costs, a dynamic oligopoly model shows that to rationalize small gaps in exit rates between high and low productivity plants, a plant in the top quintile must produce 1.5 times more than a plant in the bottom quintile.

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  • Allan Collard-Wexler, 2011. "Productivity Dispersion and Plant Selection in the Ready-Mix Concrete Industry," Working Papers 11-25, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:11-25
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    Cited by:

    1. Pierre‐Philippe Combes & Gilles Duranton & Laurent Gobillon & Diego Puga & Sébastien Roux, 2012. "The Productivity Advantages of Large Cities: Distinguishing Agglomeration From Firm Selection," Econometrica, Econometric Society, vol. 80(6), pages 2543-2594, November.
    2. Tomlin, Ben, 2014. "Exchange rate fluctuations, plant turnover and productivity," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 12-28.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Weintraub, Gabriel Y. & Benkard, C. Lanier & Van Roy, Benjamin, 2007. "Computational Methods for Oblivious Equilibrium," Research Papers 1969, Stanford University, Graduate School of Business.
    5. John Asker & Allan Collard-Wexler & Jan De Loecker, 2017. "Market Power, Production (Mis)Allocation and OPEC," NBER Working Papers 23801, National Bureau of Economic Research, Inc.
    6. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    7. Amit Gandhi & Salvador Navarro & David Rivers, 2011. "On the Identification of Production Functions: How Heterogeneous is Productivity?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    8. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2013. "Healthcare Exceptionalism? Productivity and Allocation in the U.S. Healthcare Sector," NBER Working Papers 19200, National Bureau of Economic Research, Inc.
    9. Amit Gandhi & Salvador Navarro & David Rivers, 2017. "How Heterogeneous is Productivity? A Comparison of Gross Output and Value Added," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 201727, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    10. Nguyen, Huong Quynh, 2017. "Business reforms and total factor productivity in Vietnamese manufacturing," Journal of Asian Economics, Elsevier, vol. 51(C), pages 33-42.
    11. Vivek Farias & Bar Ifrach & Gabriel Weintraub, 2012. "A Framework for Dynamic Oligopoly in Concentrated Industries," 2012 Meeting Papers 505, Society for Economic Dynamics.
    12. Matthew Backus, 2019. "Why is Productivity Correlated with Competition?," NBER Working Papers 25748, National Bureau of Economic Research, Inc.
    13. John Asker & Allan Collard-Wexler & Jan De Loecker, 2011. "Productivity volatility and the misallocation of resources in developing economies," Working Papers of Department of Economics, Leuven 507295, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    14. Emannuel Dhyne & Joep Konings & Joep Konings & Stijn Vanormelingen,, 2018. "IT and productivity: A firm level analysis," Working Paper Research 346, National Bank of Belgium.
    15. Weintraub, Gabriel Y. & Benkard, C. Lanier & Van Roy, Benjamin, 2007. "Markov Perfect Industry Dynamics with Many Firms," Research Papers 1919r, Stanford University, Graduate School of Business.
    16. Konings, Jozef & Dhyne, Emmanuel & Van den bosch, Jeroen & ,, 2018. "The Return on Information Technology: Who Benefits Most?," CEPR Discussion Papers 13246, C.E.P.R. Discussion Papers.
    17. Nguyen, Huong, 2016. "Ease of Doing Business Reforms in Vietnam: Implications for Total Factor Productivity in Manufacturing Industries," Papers 999, World Trade Institute.
    18. Byford, Martin C. & Gans, Joshua S., 2019. "Strengthening a weak rival for a fight," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 1-17.

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    More about this item

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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