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Weakness of investment in Portugal: what role do credit supply and fiscal consolidation shocks play?

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  • Laurent Maurin

    (European Investment Bank)

Abstract

In order to illustrate how tightened financial conditions have hampered investment in Portugal, we estimate a Factor Augmented Vector AutoRegressive model (FAVAR) with Bayesian techniques. We extract a financial conditions indicator and identify credit supply, demand and fiscal consolidation shocks with sign restrictions. We show that changes in financial conditions, which result from both credit supply shocks and fiscal shocks, have a protracted impact, especially on bank loans and bank lending spreads. We then develop a scenario in which we the tightening in financial conditions in the wake of the sovereign crisis is attributed to credit supply shocks. The analysis suggests that, due to the crisis, by the end of 2017, Portuguese GDP, corporate investment and corporate loans were reduced by respectively 6, 22 and 20 p.p., public investment by 1 p.p. of GDP and bank lending spreads widened by 80 b.p.

Suggested Citation

  • Laurent Maurin, 2019. "Weakness of investment in Portugal: what role do credit supply and fiscal consolidation shocks play?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 18(1), pages 19-45, February.
  • Handle: RePEc:spr:portec:v:18:y:2019:i:1:d:10.1007_s10258-018-00151-y
    DOI: 10.1007/s10258-018-00151-y
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    1. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    2. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    3. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    4. De Graeve, Ferre, 2008. "The external finance premium and the macroeconomy: US post-WWII evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3415-3440, November.
    5. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    8. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    9. Roberto Motto & Massimo Rostagno & Lawrence J. Christiano, 2010. "Financial Factors in Economic Fluctuations," 2010 Meeting Papers 141, Society for Economic Dynamics.
    10. Ricardo Félix & Gabriela Castro & José Maria & Paulo Júlio, 2013. "Fiscal Multipliers in a Small Euro Area Economy: How Big Can They Get in Crisis Times?," EcoMod2013 5307, EcoMod.
    11. Haroon Mumtaz & Gabor Pinter & Konstantinos Theodoridis, 2018. "What Do Vars Tell Us About The Impact Of A Credit Supply Shock?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 625-646, May.
    12. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    13. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    14. Lane, Philip R., 2003. "The cyclical behaviour of fiscal policy: evidence from the OECD," Journal of Public Economics, Elsevier, vol. 87(12), pages 2661-2675, December.
    15. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    16. Diego Nicolas Moccero & Matthieu Darracq Pariès & Laurent Maurin, 2014. "Financial Conditions Index and Identification of Credit Supply Shocks for the Euro Area," International Finance, Wiley Blackwell, vol. 17(3), pages 297-321, December.
    17. Farinha, Luísa & Félix, Sónia, 2015. "Credit rationing for Portuguese SMEs," Finance Research Letters, Elsevier, vol. 14(C), pages 167-177.
    18. José Pedro Braga & Inês Pereira & Teresa Balcão Reis, 2014. "Composite Indicator of Financial Stress for Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
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    Cited by:

    1. Maurin, Laurent & Andersson, Malin & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," EIB Working Papers 2021/09, European Investment Bank (EIB).
    2. Andersson, Malin & Maurin, Laurent & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," Working Paper Series 2606, European Central Bank.

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    More about this item

    Keywords

    Corporate investment; Public investment; Financial indicators; Activity; Cost of financing; Bank loans; FAVAR model; Bayesian estimation; Sign restrictions; Scenario analysis; Sovereign stress; Demand shock; Credit shock; Fiscal consolidation;
    All these keywords.

    JEL classification:

    • 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
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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