IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/2564.html
   My bibliography  Save this paper

Toda and Yamamoto Causality Tests Between Per Capita Saving and Per Capita GDP for India

Author

Listed:
  • Sinha, Dipendra
  • Sinha, Tapen

Abstract

This paper looks at the relationship between per capita saving and per capita GDP for India using the Toda and Yamamoto tests of Granger causality. Data are for 1950-2004. We distinguish between three types of saving. These are household saving, corporate saving and public saving. The results show that there is no causality between per capita GDP and per capita household saving/per capita corporate saving in either direction. However, there is bi-directional causality between per capita household saving and per capita corporate saving.

Suggested Citation

  • Sinha, Dipendra & Sinha, Tapen, 2007. "Toda and Yamamoto Causality Tests Between Per Capita Saving and Per Capita GDP for India," MPRA Paper 2564, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:2564
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/2564/1/MPRA_paper_2564.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pradeep Agrawal, 2001. "The relation between savings and growth: cointegration and causality evidence from Asia," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 499-513.
    2. Sinha, Dipendra, 1996. "Saving and Economic Growth in India," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 49(4), pages 637-647.
    3. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    4. Stephen Triantis, 1997. "Life cycle theory and the impact of the rate of economic growth on saving," Applied Economics Letters, Taylor & Francis Journals, vol. 4(11), pages 661-663.
    5. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    6. Sinha, Dipendra & Sinha, Tapen, 1998. "Cart before the horse? The saving-growth nexus in Mexico," Economics Letters, Elsevier, vol. 61(1), pages 43-47, October.
    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. Elie Ndemba Tshilambu, 2021. "Pression Fiscale Optimale et Croissance Economique en République Démocratique du Congo : 1990 -2020," Working Papers hal-03210477, HAL.
    2. Ali, Shah & Masih, Mansur, 2018. "The determinants of economic growth: the Malaysian case," MPRA Paper 107859, University Library of Munich, Germany.
    3. Dobrescu, Emilian, 2011. "Sectoral Structure and Economic Growth," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-36, September.
    4. Jude Okechukwu Chukwu, 2013. "Budget Deficits, Money Growth and Price Level in Nigeria," African Development Review, African Development Bank, vol. 25(4), pages 468-477, December.

    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. Chor Foon Tang & Soo Y. Chua, 2012. "The savings-growth nexus for the Malaysian economy: a view through rolling sub-samples," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4173-4185, November.
    2. Tang, Chor Foon & Tan, Bee Wah, 2014. "A revalidation of the savings–growth nexus in Pakistan," Economic Modelling, Elsevier, vol. 36(C), pages 370-377.
    3. Chor Foon Tang & Eu Chye Tan, 2017. "Re-visiting the Savings-Led Growth Hypothesis and Its Stability in East Asian Economies," International Economic Journal, Taylor & Francis Journals, vol. 31(3), pages 436-447, July.
    4. Segun Thompson Bolarinwa & Olufemi B. Obembe, 2017. "Empirical Analysis of the Nexus between Saving and Economic Growth in Selected African Countries (1981–2014)," Journal of Development Policy and Practice, , vol. 2(1), pages 110-129, January.
    5. Chor Foon Tang & Kean Siang Ch’ng, 2012. "A Multivariate Analysis of the Nexus between Savings and Economic Growth in the ASEAN-5 Economies," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(3), pages 385-406, August.
    6. Tang, Chor Foon, 2009. "Does causality technique matter to savings-growth nexus in Malaysia?," MPRA Paper 38535, University Library of Munich, Germany.
    7. Nikeel Kumar & Ronald Ravinesh Kumar & Radika Kumar & Peter Josef Stauvermann, 2020. "Is the tourism–growth relationship asymmetric in the Cook Islands? Evidence from NARDL cointegration and causality tests," Tourism Economics, , vol. 26(4), pages 658-681, June.
    8. Keen Meng Choy & Hwee Kwan Chow, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Econometric Society 2004 Australasian Meetings 223, Econometric Society.
    9. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    10. Kumar, Nikeel Nishkar & Patel, Arvind, 2023. "Nonlinear effect of air travel tourism demand on economic growth in Fiji," Journal of Air Transport Management, Elsevier, vol. 109(C).
    11. Gerard Bikorimana & Charles Rutikanga & Didier Mwizerwa, 2020. "Linking energy consumption with economic growth: Rwanda as a case study," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 181-200.
    12. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    13. Atanu Ghoshray & Yurena Mendoza & Mercedes Monfort & Javier Ordoñez, 2018. "Re-assessing causality between energy consumption and economic growth," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-15, November.
    14. Sheng‐Tun Li & Kuei‐Chen Chiu & Chien‐Chang Wu, 2023. "Apply big data analytics for forecasting the prices of precious metals futures to construct a hedging strategy for industrial material procurement," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 942-959, March.
    15. Emre Aksoy, 2013. "Relationships between Employment and Growth from Industrial Perspective by Considering Employment Incentives: The Case of Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 3(1), pages 74-86.
    16. Perles-Ribes, José Francisco & Ramón-Rodríguez, Ana Belén & Rubia, Antonio & Moreno-Izquierdo, Luis, 2017. "Is the tourism-led growth hypothesis valid after the global economic and financial crisis? The case of Spain 1957–2014," Tourism Management, Elsevier, vol. 61(C), pages 96-109.
    17. Andersson, Björn, 1999. "On the Causality Between Saving and Growth: Long- and Short-Run Dynamics and Country Heterogeneity," Working Paper Series 1999:18, Uppsala University, Department of Economics.
    18. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    19. Faisal Faisal & Ruqiya Pervaiz & Nesrin Ozatac & Turgut Tursoy, 2021. "Exploring the relationship between carbon dioxide emissions, urbanisation and financial deepening for Turkey using the symmetric and asymmetric causality approaches," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17374-17402, December.
    20. Ugur Soytas, 2006. "Long run relationship between entry and exit: time series evidence from Turkish manufacturing industry," Economics Bulletin, AccessEcon, vol. 12(11), pages 1-12.

    More about this item

    Keywords

    Toda-Yamamoto; causality;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:2564. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.