Relative Convergence of the Index of Economic Freedom in Canada
DOI:
https://doi.org/10.59072/rper.vi74.868Keywords:
Clubes de Convergencia, Libertad Económica, Modelos de Series de Tiempo, Modelos PanelAbstract
This paper analyses the hypothesis of relative convergence of the index of economic freedom at the provincial level in Canada during the period 1981–2021. To this end, it employs the methodology proposed by Phillips and Sul (2007, 2009), which allows for the evaluation of convergence by considering both the idiosyncratic and common heterogeneity of variables over time through a nonlinear transition factor model. This approach does not require assumptions about the stochastic or cointegration properties of the variable, making it particularly suitable for studies of economic convergence. The results show that most provinces form a large convergent group, while Quebec follows a divergent trajectory. This finding indicates the presence of multiple stationary states in regional economic freedom and underscores the relevance of structural and institutional factors in the dynamics of convergence. The identification of a non-convergent group has important implications for the formulation of public policies aimed at harmonizing institutional quality and promoting balanced economic growth across the country.
References
Apergis, N. and Cooray, A. (2017). Economic freedom and income inequality: Evidence from a panel of global economies - A linear and a non-linear long-run analysis. The Manchester School, 85(1):88-105.
Baumol, W. (1986). Productivity growth, convergence, and welfare: What the long-run data show. American Economic Review, 76(5), 1072–1085.
Barro, R., y Sala-i-Martin, X. (1991). Convergence across states and regions. Brookings Papers in Economic Activity, 1, 107–158.
Barro, R., y Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223–251.
Bergh, A. and Nilsson, T. (2010). Do liberalization and globalization increase income inequality? European Journal of Political Economy, 26(4):488-505.
Carrion-I-Silvestre, J.L. y Gadea, M.D. (2016). Bounds, breaks and unit root tests. Journal of Time Series Analysis, 37(2), 165–181.
Carter, J. R. (2007). An empirical note on economic freedom and income inequality. Public Choice, 130(1-2):163-177.
Cavaliere, G. (2005). Limited time series with a unit root. Econometric Theory, 21(5), 907–945.
Cavaliere, G. y Xu, F. (2014) Testing for unit roots in bounded time series. Journal of Econometrics, 178(Part 2), 259–272.
Chang, Y. S., Kim, J., & Kim, Y. S. (2015). Convergence analysis on ten subindexes of economic freedom. International Journal of Public Policy, 11 (1-3), 47-72.
Chen, P., Y. Karavias y E. Tzavalis, E. (2022). Panel unit-root tests with structural breaks. Stata Journal 22: 664-678. https://doi.org/10.1177/1536867X221124541.
De Haan, J. y Sturm, J.E. (2000). On the relationship between economic freedom and economic growth. Eur. J. Polit. Econ. 16(2), 215–241
Elert, N. y Halvarsson, D. (2012). Economic freedom and institutional convergence ratio. Stockholm, Sweden. Working Paper Number: 196.
Esposto, A.G. and Zaleski, P.A. (1999). Economic freedom and the quality of life: an empirical analysis. Const. Polit. Econ. 10(2), 185–197
Gao, C., Ge, H., Lu, Y., Wang, W. and Zhang, Y. (2021). Decoupling of provincial energyrelated CO2 emissions from economic growth in China and its convergence from
to 2017. J. Clean. Prod. 297, 126627 https://doi.org/10.1016/j.
jclepro.2021.126627.
Gwartney, J. D., Lawson, R. A., y Holcombe, R. G. (1999). Economic freedom and the environment for economic growth. Journal of Institutional and Theoretical Economics, 155(4), 643–663.
Hall, J.C. y Lawson, R.A. (2014). Economic freedom of the world: an accounting of the literature. Contemporary Economic Policy, 32(1), 1–19.
Hall, J. C. (2016). Institutional convergence: Exit or voice?, Journal of Economics and Finance, 40(4), 829–840.
Hall, J. C., Lacombe, D. J., y Shaughnessy, T. M. (2019). Economic freedom and income levels across US states: A spatial panel data analysis. Contemporary Economic Policy, 37(1), 40-49.
Hamit-Haggar, M. (2013). A note on convergence across Canadian provinces: new insights from the club clustering algorithm. The Annals of regional science, 50(2), 591-601.
Heckelman, J. C. (2000). Economic freedom and economic growth: a short-run causal investigation. Journal of Applied Economics 3(1): 71–91.
Heckelman, J. C. (2015). Economic freedom convergence clubs. In R. J. Cebula, J. C. Hall, F. G. Mixon, & J. E. Payne (Eds.), Economic behavior, economic freedom, and entrepreneurship (pp. 102–114). Edward Elgar Publishing.
Juodis, A., Karavias, Y., Sarafidis, V. (2021). A homogeneous approach to testing for Granger non-causality in heterogeneous panels. Empir. Econ. 60, 93–112. http://dx.doi.org/10.1007/s00181-020-01970-9.
Karavias, Y. y E. Tzavalis (2014). Testing for unit roots in short panels allowing for a structural break. Computational Statistics and Data Analysis 76: 391-407. https://doi.org/10.1016/j.csda.2012.10.014
Kallioras, D., Gkotinakou, G., y Fardas, M. (2017). Detecting trends of convergence among the Eurozone countries in terms of economic freedom. International Journal of Economics and Finance Studies, 9(1), 33–47.
Lawson, R.A., Murphy, R. y Powell, B. (2020) The determinants of economic freedom: survey. Contemporary Economic Policy, 38(4), 622–642.
Lawson, R. (2022) Economic freedom in the literature: what is it good (bad) for? In: Economic freedom of the world 2022 report. Canada: Fraser Institute, pp. 1–17.
Naghshpour, S. D., y Nissan, E. (2018). State and regional convergence in economic freedom of North America. Journal of Regional Analysis and Policy, 48(2), 48–53.
Newey, W.K. y West, K.D. (1987) A simple, positive-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708.
Payne, J. E., Saunoris, J. W., Nazlioglu, S., & Karul, C. (2023a). The convergence dynamics of economic freedom across U.S. states. Southern Economic Journal, 89(4), 1216–1241. https://doi.org/10.1002/soej.12629
Payne, J. E., Saunoris, J. W., Nazlioglu, S., & Karul, C. (2023b). Stochastic convergence analysis of US state economic freedom sub-components: Evidence from unit root tests for bounded processes. American Journal of Economics and Sociology, 82, 319–348. https://doi.org/10.1111/ajes.12509
Payne, J.E., Saunoris, J.W., Nazlioglu, S. y Sobel, R. (2025). What factors drive cross-country economic freedom convergence?. Public Choice, https://doi.org/10.1007/s11127-024-01254-1
Patsoulis, P., Demetriou, D. (2024). Assessing the convergence process of ESG metrics: a research note on the role of economic freedom. Lett Spat Resour Sci 17, 18, https://doi.org/10.1007/s12076-024-00383-x
Phillips, P. C., y D. Sul. (2007). Transition modeling and econometric convergence tests.Econometrica, 75(6), 1771–1855.
Phillips, P. C., & Sul, D. (2009). Economic transition and growth. Journal of Applied Econometrics, 24(7), 1153–1185.
Savoia, A., y Sen, K. (2016). Do we see convergence in institutions? A cross-country analysis. Journal of Development Studies, 52(2), 166–185.
Schnurbus, J., H. Haupt, and V. Meier. 2017. Economic transition and growth: A replication. Journal of Applied Econometrics 32: 1039–1042.
Serenidou, E. (2023). Reexamining the regional income convergence in Canada [Master’s thesis]. University of Macedonia.
Sobel, R.S. y Coyne, C.J. (2011). Cointegrating institutions: the time-series properties of country institutional measures. Journal of Law and Economics, 54(1), 111–134.
Villarroya, I. S., y de la Escosura, L. P. (2006). Libertad económica y convergencia en Argentina: 1875-2000. Documento de trabajo, 04.
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