IDEAS home Printed from https://ideas.repec.org/p/bcl/bclwop/bclwp100.html
   My bibliography  Save this paper

LOLA 3.0: Luxembourg OverLapping generation model for policy Analysis

Author

Listed:
  • Luca Marchiori
  • Olivier Pierrard

Abstract

LOLA 2.0 is a dynamic general equilibrium model for the Luxembourg economy, which features overlapping generation dynamics, labormarket frictions à la Diamond-Mortensen-Pissarides and a New Open Economy Macroeconomics structure. This paper presents the model LOLA 3.0, which essentially integrates a financial sector to LOLA 2.0. In contrast to the existing dynamic stochastic general equilibrium (DSGE) literature, the financial sector does not intermediate between resident households and resident firms, but exports wealth management services. We calibrate the model to match the size of the financial sector in terms of employment, value added, net exports and taxes. The 2008 financial crisis has affected Luxembourg's financial sector and slowed inflows of cross-border workers. Because there is a lot of uncertainty surrounding future growth of the Luxembourg financial sector and cross-border worker inflows, we use LOLA 3.0 to study the evolution of the Luxembourg economy between 2015 and 2060 under alternative scenarios (high - medium - low).

Suggested Citation

  • Luca Marchiori & Olivier Pierrard, 2015. "LOLA 3.0: Luxembourg OverLapping generation model for policy Analysis," BCL working papers 100, Central Bank of Luxembourg.
    • Handle: RePEc:bcl:bclwop:bclwp100
    as

    Download full text from publisher

    File URL: https://www.bcl.lu/en/publications/Working-papers/100/BCLWP100.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    2. Deák, Szabolcs & Fontagné, Lionel & Maffezzoli, Marco & Marcellino, Massimiliano, 2011. "LSM: A DSGE model for Luxembourg," Economic Modelling, Elsevier, vol. 28(6), pages 2862-2872.
    3. Roberto Motto & Massimo Rostagno & Lawrence J. Christiano, 2010. "Financial Factors in Economic Fluctuations," 2010 Meeting Papers 141, Society for Economic Dynamics.
    4. International Monetary Fund, 2011. "Luxembourg: Financial System Stability Assessment: Update," IMF Staff Country Reports 2011/148, International Monetary Fund.
    5. Mr. Jan Vlcek & Mr. Scott Roger, 2012. "Macrofinancial Modeling At Central Banks: Recent Developments and Future Directions," IMF Working Papers 2012/021, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Baksa & Mihnea Constantinescu & Zsuzsa Munkacsi, 2016. "Aging, Informality and Public Policies in a Small Open Economy," Bank of Lithuania Discussion Paper Series 2, Bank of Lithuania.
    2. Gulan, Adam, 2018. "Paradise lost? A brief history of DSGE macroeconomics," Bank of Finland Research Discussion Papers 22/2018, Bank of Finland.
    3. Daniel Baksa & Zsuzsa Munkacsi, 2016. "A Detailed Description of OGRE, the OLG Model," Bank of Lithuania Working Paper Series 31, Bank of Lithuania.

    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. Gabriela Castro & José R. Maria & Paulo Júlio & Ricardo Mourinho Félix, 2013. "Fiscal multipliers in a small euro area economy: How big can they get in crisis times?," Working Papers w201311, Banco de Portugal, Economics and Research Department.
    2. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    3. Jean-Yves Gnabo & Nicolas K. Scholtes, 2016. "Assessing the role of interbank network structure in business and financial cycle analysis," Working Paper Research 307, National Bank of Belgium.
    4. Piotr Ciżkowicz & Andrzej Rzońcaz, 2017. "Are Major Central Banks Blinded By The Analytical Elegance Of Their Models? Possible Costs Of Unconventional Monetary Policy Measures," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(01), pages 87-108, March.
    5. Bonciani, Dario, 2014. "Uncertainty shocks: it's a matter of habit," MPRA Paper 59370, University Library of Munich, Germany.
    6. Jean-Christophe Poutineau & Gauthier Vermandel, 2015. "Quelle prise en compte des caractéristiques nationales dans les mesures macroprudentielles en zone euro ?," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 95-141.
    7. Erceg, Christopher J. & Lindé, Jesper, 2013. "Fiscal consolidation in a currency union: Spending cuts vs. tax hikes," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 422-445.
    8. Ravn, Søren Hove, 2014. "Asymmetric monetary policy towards the stock market: A DSGE approach," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 24-41.
    9. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
    10. Eleni Iliopulos & François Langot & Thepthida Sopraseuth, 2019. "Welfare Cost of Fluctuations When Labor Market Search Interacts with Financial Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2207-2237, December.
    11. Andrzej Rzonca & Piotr Cizkowicz, 2014. "The effects of unconventional monetary policy: what do central banks not include in their models? / Skutki niekonwencjonalnej polityki pieniê¿nej: czego banki centralne nie uwzglêdniaj¹w swoich modela," mBank - CASE Seminar Proceedings 131, CASE-Center for Social and Economic Research.
    12. Jacob, Punnoose & Peersman, Gert, 2013. "Dissecting the dynamics of the US trade balance in an estimated equilibrium model," Journal of International Economics, Elsevier, vol. 90(2), pages 302-315.
    13. Carlos Rojas Q., 2018. "Política monetaria óptima bajo inestabilidad financiera en economías emergentes," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(1), pages 068-117, April.
    14. Batini, Nicoletta & Melina, Giovanni & Villa, Stefania, 2019. "Fiscal buffers, private debt, and recession: The good, the bad and the ugly," Journal of Macroeconomics, Elsevier, vol. 62(C).
    15. Hristov, Nikolay & Hülsewig, Oliver, 2017. "Unexpected loan losses and bank capital in an estimated DSGE model of the euro area," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 161-186.
    16. Mizen, Paul & Tsoukas, Serafeim, 2012. "The response of the external finance premium in Asian corporate bond markets to financial characteristics, financial constraints and two financial crises," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3048-3059.
    17. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2014. "Risk Shocks," American Economic Review, American Economic Association, vol. 104(1), pages 27-65, January.
    18. Chen, Qianying & Funke, Michael & Paetz, Michael, 2012. "Market and non-market monetary policy tools in a calibrated DSGE model for mainland China," BOFIT Discussion Papers 16/2012, Bank of Finland Institute for Emerging Economies (BOFIT).
    19. Badarau, Cristina & Levieuge, Grégory, 2011. "Assessing the effects of financial heterogeneity in a monetary union a DSGE approach," Economic Modelling, Elsevier, vol. 28(6), pages 2451-2461.
    20. repec:hal:spmain:info:hdl:2441/293qice3lj861rvos9ns14n0h0 is not listed on IDEAS
    21. Cuong Le Van & Ngoc-Sang Pham, 2016. "Intertemporal equilibrium with financial asset and physical capital," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 62(1), pages 155-199, June.

    More about this item

    Keywords

    Overlapping generations; Long-run projections; Financial sector; Luxembourg.;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    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:bcl:bclwop:bclwp100. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://www.bcl.lu/ .

    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: (email available below). General contact details of provider: https://www.bcl.lu/ .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.