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Private saving. New cross-country evidencebased on bayesian techniques

Author

Listed:
  • Ignacio Hernando

    (Banco de España)

  • Irene Pablos

    (European Central Bank)

  • Daniel Santabárbara

    (Banco de España)

  • Javier Vallés

    (Banco de España)

Abstract
The existing literature exhibits high uncertainty over the theoretical and empirical determinants of private world saving. This paper reports new evidence on the drivers of private saving by applying Bayesian techniques, using data from the world’s 35 largest economies in the period 1980-2012. After reviewing the main theories of consumption and saving decisions, and discussing the potential effects of different determinants, we specify a general model that incorporates the most commonly used factors in the literature, considering the potential endogeneity of some of the regressors. The Bayesian Model Averaging (BMA) approach summarises the information embedded in all combinations of the explanatory variables considered by averaging each specification according to its likelihood. We find that in the medium term private credit to GDP ratio, the government surplus to GDP ratio, the terms of trade, life expectancy and the old-age dependency ratio are key determinants of cross-country private saving behaviour. Lastly, we assess the long-term effect of expected demographic changes in private saving globally.

Suggested Citation

  • Ignacio Hernando & Irene Pablos & Daniel Santabárbara & Javier Vallés, 2018. "Private saving. New cross-country evidencebased on bayesian techniques," Working Papers 1802, Banco de España.
    • Handle: RePEc:bde:wpaper:1802
    as

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    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/18/Files/dt1802e.pdf
    File Function: First version, January 2018
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    consumption; saving; national saving; private saving; household saving; Bayesian model averaging; model uncertainty;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General

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