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Households’ (In)Security in the European Union: From Principal Components to Causality Analysis

Author

Listed:
  • Ionuț-Andrei Pricop

    (Department of Economics and International Relations, Faculty of Economics and Business Administration, “Alexandru Ioan Cuza” University of Iasi, 700505 Iasi, Romania)

  • Laura Diaconu (Maxim)

    (Department of Economics and International Relations, Faculty of Economics and Business Administration, “Alexandru Ioan Cuza” University of Iasi, 700505 Iasi, Romania)

Abstract

Economic security is considered one of the primary aspects of well-being and it is usually closely associated with poverty. This article intends to explore the main determinants of economic (in)security in European Union countries and to investigate the relationship between the level of economic insecurity and the degree of economic freedom. In order to achieve our goal, we used Principal Component Analysis (PCA) to stipulate a composite and standardized index of economic insecurity in the European Union and, afterwards, we utilized panel data regressions to analyze its correlation with the variables of the Index of Economic Freedom.

Suggested Citation

  • Ionuț-Andrei Pricop & Laura Diaconu (Maxim), 2025. "Households’ (In)Security in the European Union: From Principal Components to Causality Analysis," Economies, MDPI, vol. 13(2), pages 1-23, January.
    • Handle: RePEc:gam:jecomi:v:13:y:2025:i:2:p:33-:d:1581341
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    References listed on IDEAS

    as
    1. Ed Diener & Eunkook Suh, 1997. "Measuring Quality Of Life: Economic, Social, And Subjective Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(1), pages 189-216, January.
    2. John Carter, 2007. "An Empirical Note on Economic Freedom and Income Inequality," Public Choice, Springer, vol. 130(1), pages 163-177, January.
    3. Manal Mustafa Dehisat & Zainudin Awang, 2020. "Exploring Items and Developing Instrument for Measuring Organizational Performance among Small Medium Enterprises in Jordan," International Review of Management and Marketing, Econjournals, vol. 10(6), pages 51-57.
    4. Lars Osberg, 2009. "Measuring Economic Security in Insecure Times: New Perspectives, New Events, and the Index of Economic Well-being," CSLS Research Reports 2009-12, Centre for the Study of Living Standards.
    5. Andreas Bergh & Christian Bjørnskov, 2021. "Does economic freedom boost growth for everyone?," Kyklos, Wiley Blackwell, vol. 74(2), pages 170-186, May.
    6. Andreas Baur & Lisandra Flach, 2023. "Protectionism on the Rise? New Challenges for EU Trade Policy," EconPol Forum, CESifo, vol. 24(05), pages 32-35, September.
    7. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
    8. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    9. Petar Stankov, 2017. "Economic Freedom and Welfare Before and After the Crisis," Springer Books, Springer, number 978-3-319-62497-6, January.
    10. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    11. Dario Caldara & Edward Herbst, 2019. "Monetary Policy, Real Activity, and Credit Spreads: Evidence from Bayesian Proxy SVARs," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 157-192, January.
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