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Nowcasting Indonesia's GDP Growth: Are Fiscal Data Useful?

Author

Listed:
  • Alifatussaadah, Ardiana
  • Primariesty, Anindya Diva
  • Soleh, Agus Mohamad
  • Andriansyah, Andriansyah

Abstract

Since introduced by Giannone et al. (2008), GDP nowcasting models have been used in many countries, including Indonesia. Variables to select usually include housing and construction, income, manufacturing, labor, surveys, international trade, retails and consumptions. Interestingly, fiscal variables are excluded even though government expenditure is an integral part of the basic GDP identity. By employing the Bok et al. (2018)’s quarter-to-quarter real GDP growth nowcasting technique, this paper is aimed at testing the usefulness of inclusion of fiscal variables, in addition to 61 non-fiscal variables, in nowcasting Indonesia GDP. The results show, even though based on the fact that fiscal data have low correlation coefficients to GDP, the inclusion of fiscal data may help to produce a better early estimate of GDP growth.

Suggested Citation

  • Alifatussaadah, Ardiana & Primariesty, Anindya Diva & Soleh, Agus Mohamad & Andriansyah, Andriansyah, 2019. "Nowcasting Indonesia's GDP Growth: Are Fiscal Data Useful?," MPRA Paper 105252, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:105252
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    References listed on IDEAS

    as
    1. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    2. Christophe Ehrhart & Matthieu Llorca, 2008. "The sustainability of fiscal policy: evidence from a panel of six South-Mediterranean countries," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 797-803.
    3. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    4. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    5. Domenico Giannone & Lucrezia Reichlin & David Small, 2008. "Nowcasting: the real time informational content of macroeconomic data releases," ULB Institutional Repository 2013/6409, ULB -- Universite Libre de Bruxelles.
    6. repec:idn:journl:v:20:y:2018:i:3:p:1-30 is not listed on IDEAS
    7. Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2018. "Nowcasting Indonesia," Empirical Economics, Springer, vol. 55(2), pages 597-619, September.
    8. Ángel Cuevas & Enrique Quilis, 2012. "A factor analysis for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(3), pages 311-338, September.
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    Keywords

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    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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