IDEAS home Printed from https://ideas.repec.org/p/imf/imfscr/2013-256.html
   My bibliography  Save this paper

Iceland: 2013 Article IV Consultations and Third Post-Program Monitoring Discussions

Author

Listed:
  • International Monetary Fund

Abstract

This 2013 Article IV Consultation highlights that Iceland’s economy is on a path to recovery, but legacy vulnerabilities are weighing on growth. GDP growth—which reached 2.9 percent in 2011—slowed to 1.6 percent in 2012 amid private sector deleveraging and weak external demand. Unemployment has continued to decline however, standing at 5.1 percent in May, down from a peak of 9.2 percent in September 2010. Inflation has come down to 3.3 percent in June from a peak of 18.6 in January 2009, but remains above the central bank’s target of 2½ percent. The outlook is for modest growth, declining inflation, and improving fiscal and external position.

Suggested Citation

  • International Monetary Fund, 2013. "Iceland: 2013 Article IV Consultations and Third Post-Program Monitoring Discussions," IMF Staff Country Reports 2013/256, International Monetary Fund.
    • Handle: RePEc:imf:imfscr:2013/256
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=40863
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    2. Mr. Andrew J Tiffin, 2006. "Ukraine: The Cost of Weak Institutions," IMF Working Papers 2006/167, International Monetary Fund.
    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. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    2. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    3. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    4. Markose Chekol Zewdie & Michele Moretti & Daregot Berihun Tenessa & Zemen Ayalew Ayele & Jan Nyssen & Enyew Adgo Tsegaye & Amare Sewnet Minale & Steven Van Passel, 2021. "Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach," Land, MDPI, vol. 10(3), pages 1-17, March.
    5. Tauer, Loren W. & Mishra, Ashok K., 2005. "U.S. Dairy Farm Cost Efficiency," Working Papers 127079, Cornell University, Department of Applied Economics and Management.
    6. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    8. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
    9. Islam, Asif & Hyland, Marie, 2019. "The drivers and impacts of water infrastructure reliability – a global analysis of manufacturing firms," Ecological Economics, Elsevier, vol. 163(C), pages 143-157.
    10. Deng, Yaguo & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2016. "Efficiency evaluation of Spanish hotel chains," DES - Working Papers. Statistics and Econometrics. WS 23897, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    12. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    13. World Bank, 2008. "Ukraine Agricultural Competitiveness," World Bank Publications - Reports 19478, The World Bank Group.
    14. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    15. Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.
    16. Fumitoshi Mizutani & Eri Nakamura, 2017. "How do governance factors affect inefficiency? Stochastic frontier analysis of public utility firms in Japan," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(3), pages 267-289, September.
    17. Jinjin Zhao, 2020. "Productivity change in the privatized water sector in China (1999–2006)," Journal of Productivity Analysis, Springer, vol. 53(2), pages 227-241, April.
    18. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    19. Millimet, Daniel L. & Parmeter, Christopher F., 2022. "Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable," Political Analysis, Cambridge University Press, vol. 30(1), pages 66-88, January.
    20. Chiara Franco & Fabio Pieri & Francesco Venturini, 2016. "Product market regulation and innovation efficiency," Journal of Productivity Analysis, Springer, vol. 45(3), pages 299-315, June.

    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:imf:imfscr:2013/256. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.