IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20230007.html
   My bibliography  Save this paper

Does trade integration imply growth in Latin America? Evidence from a dynamic spatial spillover model

Author

Listed:
  • F. Blasques

    (Vrije Universiteit Amsterdam)

  • P. Gorgi

    (Vrije Universiteit Amsterdam)

  • S. J. Koopman

    (Vrije Universiteit Amsterdam)

  • J. Sampi

    (World Bank)

Abstract

To investigate the role of intra-regional trade integration on economic growth in Latin America, we develop a multilevel spatial production network model with time-varying parameters. The theoretical model is established for a multi-country and multi-sectoral economy. The reduced-form econometric framework relies partly on observation-driven dynamic processes. The finite-sample properties of the maximum likelihood estimates are investigated through a Monte Carlo study. The empirical study is for six countries in Latin America. The findings suggest that intra-country spillovers configure an important factor for explaining growth, while the importance of domestic spillovers is limited. The growth volatility is substantively reduced since 2005.

Suggested Citation

  • F. Blasques & P. Gorgi & S. J. Koopman & J. Sampi, 2023. "Does trade integration imply growth in Latin America? Evidence from a dynamic spatial spillover model," Tinbergen Institute Discussion Papers 23-007/IVI, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20230007
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/23007.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nina Pavcnik, 2002. "Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 245-276.
    2. Dominik Wied, 2013. "CUSUM-type testing for changing parameters in a spatial autoregressive model for stock returns," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(2), pages 221-229, March.
    3. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107630024.
    4. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    5. Rodrik, Dani, 1999. "Where Did All the Growth Go? External Shocks, Social Conflict, and Growth Collapses," Journal of Economic Growth, Springer, vol. 4(4), pages 385-412, December.
    6. David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
    7. Harold L. Cole & Lee E. Ohanian & Álvaro José Riascos & James A. Schmitz, 2006. "Latin America in the rearview mirror," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 30(Sep).
    8. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    9. Mary Amiti & Jozef Konings, 2007. "Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia," American Economic Review, American Economic Association, vol. 97(5), pages 1611-1638, December.
    10. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    11. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and Trade," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 65-85, August.
    12. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2021. "Estimation and inference for spatial models with heterogeneous coefficients: An application to US house prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 18-44, January.
    13. Gino Gancia & Fabrizio Zilibotti, 2009. "Technological Change and the Wealth of Nations," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 93-120, May.
    14. Maurice Obstfeld & Kenneth Rogoff, 2001. "The Six Major Puzzles in International Macroeconomics: Is There a Common Cause?," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 339-412, National Bureau of Economic Research, Inc.
    15. Diego Restuccia & Richard Rogerson, 2008. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 707-720, October.
    16. Mueller, Julie M. & Loomis, John B., 2008. "Spatial Dependence in Hedonic Property Models: Do Different Corrections For Spatial Dependence Result in Economically Significant Differences in Estimated Implicit Prices?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(2), pages 1-20.
    17. Romain Wacziarg & Karen Horn Welch, 2008. "Trade Liberalization and Growth: New Evidence," The World Bank Economic Review, World Bank, vol. 22(2), pages 187-231, June.
    18. Grossman, Gene M. & Helpman, Elhanan, 1991. "Trade, knowledge spillovers, and growth," European Economic Review, Elsevier, vol. 35(2-3), pages 517-526, April.
    19. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    20. Drew Creal & Siem Jan Koopman & André Lucas, 2013. "Generalized Autoregressive Score Models With Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 777-795, August.
    21. Bernard Herskovic & Bryan Kelly & Hanno Lustig & Stijn Van Nieuwerburgh, 2020. "Firm Volatility in Granular Networks," Journal of Political Economy, University of Chicago Press, vol. 128(11), pages 4097-4162.
    22. David Dollar & Aart Kraay, 2004. "Trade, Growth, and Poverty," Economic Journal, Royal Economic Society, vol. 114(493), pages 22-49, February.
    23. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    24. Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
    25. Bernard Fingleton & Enrique López‐Bazo, 2006. "Empirical growth models with spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 177-198, June.
    26. Pinelopi Koujianou Goldberg & Nina Pavcnik, 2007. "Distributional Effects of Globalization in Developing Countries," Journal of Economic Literature, American Economic Association, vol. 45(1), pages 39-82, March.
    27. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    28. Matthias Arnold & Sebastian Stahlberg & Dominik Wied, 2013. "Modeling different kinds of spatial dependence in stock returns," Empirical Economics, Springer, vol. 44(2), pages 761-774, April.
    29. Leopoldo Catania & Anna Gloria Billé, 2017. "Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1178-1196, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heil, Thomas L.A. & Peter, Franziska J. & Prange, Philipp, 2022. "Measuring 25 years of global equity market co-movement using a time-varying spatial model," Journal of International Money and Finance, Elsevier, vol. 128(C).
    2. Hannes Böhm & Julia Schaumburg & Lena Tonzer, 2022. "Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 698-734, December.
    3. Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
    4. Harrison, Ann & Rodríguez-Clare, Andrés, 2010. "Trade, Foreign Investment, and Industrial Policy for Developing Countries," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4039-4214, Elsevier.
    5. Leopoldo Catania & Anna Gloria Billé, 2017. "Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1178-1196, September.
    6. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    7. Enzo D'Innocenzo & André Lucas & Anne Opschoor & Xingmin Zhang, 2024. "Heterogeneity and dynamics in network models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 150-173, January.
    8. Harrison, Ann E. & Rodriguez-Clare, Andres, 2009. "Trade, Foreign Investment, and Industrial Policy," MPRA Paper 15561, University Library of Munich, Germany.
    9. Andrea Asoni, 2008. "Protection Of Property Rights And Growth As Political Equilibria," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 953-987, December.
    10. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    11. Ernest Liu & Aleh Tsyvinski, 2021. "Dynamical Structure and Spectral Properties of Input-Output Networks," Working Papers 2021-13, Princeton University. Economics Department..
    12. Grabiella Berloffa & Maria Luigia Segnana, 2004. "Trade, inequality and pro-poor growth: Two perspectives, one message?," Department of Economics Working Papers 0408, Department of Economics, University of Trento, Italia.
    13. Dalhaus, Tatjana & Schaumburg, Julia & Sekhposyan, Tatevik, 2021. "Networking the yield curve: implications for monetary policy," Working Paper Series 2532, European Central Bank.
    14. Eslava, Marcela & Haltiwanger, John C. & Kugler, Adriana & Kugler, Maurice, 2009. "Trade Reforms and Market Selection: Evidence from Manufacturing Plants in Colombia," IZA Discussion Papers 4256, Institute of Labor Economics (IZA).
    15. L. Alan Winters & Antonio Martuscelli, 2014. "Trade Liberalization and Poverty: What Have We Learned in a Decade?," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 493-512, October.
    16. Mauro Caselli, 2012. "Does wealth inequality reduce the gains from trade?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(2), pages 333-356, June.
    17. Nicholas Bloom & Paul Romer & Stephen J Terry & John Van Reenen, 2021. "Trapped Factors and China’s Impact on Global Growth [Competition and innovation: an inverted-U relationship]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 156-191.
    18. Michelle Connolly & Kei-Mu Yi, 2015. "How Much of South Korea's Growth Miracle Can Be Explained by Trade Policy?," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 188-221, October.
    19. Guo, Di & Jiang, Kun & Xu, Chenggang & Yang, Xiyi, 2023. "Geographic clusters, regional productivity and resource reallocation across firms: Evidence from China," Research Policy, Elsevier, vol. 52(2).
    20. Lixin Tang, 2014. "Top Income Inequality, Aggregate Saving and the Gains from Trade," 2014 Papers pta581, Job Market Papers.

    More about this item

    Keywords

    Spatial network model; multilevel model; time-varying parameters; economic modeling; trade liberization; growth.;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20230007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.