IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/44628.html
   My bibliography  Save this paper

Identification of Liechtenstein's Historic Economic Growth and Business Cycles by Econometric Extensions of Data Series

Author

Listed:
  • Brunhart, Andreas

Abstract

Several economic data series of Liechtenstein are backwardly estimated in order to achieve consistent historic time series. The generated series consist for instance of the national income for the years 1954 to 1992 (by regressive inter- and retropolation with indicators) and 1993 to 1997 (by approximative computation after national accounting scheme). Also, the sectoral and total employment of some missing years in the 70s, 80s and 90s is complemented and the gross domestic product from 1972 until 1997 is provided by an approximative computation/estimation relying on the identity of the generation of income account as part of the national accounts. These methods and the presented series are being evaluated with respect to their accuracy, which turns out to be satisfying, and can be linked with the released results from the official national accounts, which were introduced for the year 1998 and have been published until 2009 so far. Along with the provision of these figures, Liechtenstein’s economic growth pattern is being identified, the business cycles are detected and first analytical insights are obtained.

Suggested Citation

  • Brunhart, Andreas, 2012. "Identification of Liechtenstein's Historic Economic Growth and Business Cycles by Econometric Extensions of Data Series," MPRA Paper 44628, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:44628
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/44628/1/KOFL%20Working%20Paper%20No.%2014.pdf
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andreas Brunhart, 2014. "Stock Market's Reactions to Revelation of Tax Evasion: An Empirical Assessment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(III), pages 161-190, September.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    4. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-1310, November.
    5. Brunhart, Andreas, 2012. "Identification of Liechtenstein's historic economic growth and business cycles by econometric extensions of data series," KOFL Working Papers 14, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    6. Durbin, J, 1970. "Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables," Econometrica, Econometric Society, vol. 38(3), pages 410-421, May.
    7. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    8. Brunhart, Andreas & Kellermann, Kersten & Schlag, Carsten-Henning, 2012. "Drei Phasen des Potentialwachstums in Liechtenstein," KOFL Working Papers 11, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    10. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    12. John Elder & Peter E. Kennedy, 2001. "Testing for Unit Roots: What Should Students Be Taught?," The Journal of Economic Education, Taylor & Francis Journals, vol. 32(2), pages 137-146, January.
    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. Andreas Brunhart, 2013. "Der Klein(st)staat Liechtenstein und seine grossen Nachbarländer: Eine wachstums- und konjunkturanalytische Gegenüberstellung," Arbeitspapiere 44, Liechtenstein-Institut.
    2. Andreas Brunhart, 2015. "The Swiss Business Cycle and the Lead of Small Neighbor Liechtenstein," Arbeitspapiere 51, Liechtenstein-Institut.
    3. Brunhart, Andreas, 2012. "Liechtensteins neuere Wirtschaftshistorie: Erste Einsichten und Interpretationen der neu geschätzten Zeitreihen," KOFL Economic Focus 5, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    4. Andreas Brunhart, 2017. "Are Microstates Necessarily Led by Their Bigger Neighbors’ Business Cycle? The Case of Liechtenstein and Switzerland," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 29-52, May.
    5. Brunhart, Andreas, 2012. "Liechtensteins neuere Wirtschaftshistorie: Ergebnisse der ökonometrischen Verlängerung ökonomischer Zeitreihen," KOFL Economic Focus 4, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    6. Andreas Brunhart & Zbigniew Dumienski, 2015. "Economic Development and Land Issues in Liechtenstein: Historical Dynamics, Current Challenges and Suggested Fiscal Remedies," Arbeitspapiere 49, Liechtenstein-Institut.
    7. Brunhart, Andreas, 2012. "Identification of Liechtenstein's Historic Economic Growth and Business Cycles by Econometric Extensions of Data Series," MPRA Paper 44628, University Library of Munich, Germany.

    More about this item

    Keywords

    Economic Growth; Business Cycles; Liechtenstein; Regressive Interpolation and Retropolation; Multiple Imputation; National Accounts;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • 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
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • N1 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations

    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:pra:mprapa:44628. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

    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.