Skip to main navigation menu Skip to main content Skip to site footer

State Size and Migration in Ecuador 2000-2023

Abstract

The economic policies of fiscal adjustment and state reduction have been shown to disturb migration conditions as part of a cumulative dynamic in the Ecuadorian case. The objective of this research is to demonstrate that the economic and social results of applying such policies drive migration. To this end, an analysis of the economic policy of fiscal adjustment between 2000-2006 and 2017-2023 is conducted, with a comparison to the economic policy of distribution between 2007-2016. The analysis is based on indicators that demonstrate the economic and social results, thereby enabling the assessment of the impact on migration. The methodology used is a descriptive analysis based on indicators and relationships between variables, as well as two econometric models: the ordinary least squares model (OLS) and the vector autoregressive model (VAR). The findings indicate that economic factors, including investment, income, employment, and salary, as well as perceived insecurity, are associated with changes in the migration indicator. In light of these results, it is advisable to reevaluate the existing frameworks for intervention and collective action, with the aim of addressing the issue of migration.

Keywords

Economic policy, fiscal policy, State, migration, Ecuador, econometrics


Author Biography

Marcelo Varela

Institute of Advanced National Studies - The Postgraduate University of the Ecuadorian State and  Central University of Ecuador

Gustavo Adrián Salazar-Espinoza

Economist from the Central University of Ecuador, Master in Development Economics from FLACSO. Independent researcher.  


References

  1. Armstrong, J. & McDonald, C. (2016). Why the Drivers of Migration Matter for the Labour Market. Reserve Bank of New Zealand.
  2. Banco Central del Ecuador. (2024). Información económica y estadística: información estadística mensual. BCE. https://contenido.bce.fin.ec/home1/estadisticas/bolmensual/IEMensual.html
  3. Bandeira, G., Caballé, J. & Vella, E. (2018). Should I Stay or Should I Go? Austerity, Unemployment and Migration. Working Papers (n.° 1839. Banco de España.
  4. Bautista, N., Ramon, G., Sotomayor, J. & Vega, F. (2024). Factores determinantes de la migración internacional: un estudio en Ecuador 2000-2022. Ñeque, 7(19), 397-410.
  5. Becketti, S. (2013). Introduction to Time Series Using Stata. Stata Press.
  6. Bentolila, S., Dolado, J.J. & Jimeno, J. F. (2008, Nov.). Does Immigration Affect the Phillips Curve? Some Evidence for Spain. European Economic Review, 52(8), 1398-1423.
  7. Borja, G. (1999). Immigration and Welfare Magnets. Journal of Labor Economics, 17, (4).
  8. Borja, G. (2003, June). The Labor Demand Curve is Downward Sloping: Reexamining the Impact of Immigration on the Labor Market. NBER Working Paper n.° 9755. Harvard University and National Bureau of Economic Research.
  9. Bracho, T. (2010). Políticas basadas en evidencia: la política pública como acción informada y objeto de investigación. En M. Merino & G. Cejudo (comps.), Problemas, decisiones, soluciones. Enfoques de política pública (pp. 291-319). Fondo de Cultura Universidad.
  10. Braun, S. & Weber, H. (2016). How Do Regional Labor Markets Adjust to Immigration? A Dynamic Analysis for Post-war Germany. Kiel Institute for the World Economy.
  11. Canova, F. & De Nicoló, G. (2002, Sep.). Monetary Disturbances Matter for Business Cycle Fluctuations in the G7. Journal of Monetary Economics, 49(6), 1131-1159.
  12. Canova, F. & Paustian, M. (2011, May). Business Cycle Measurement with Some Theory. Journal of Monetary Economics, 58(4), 345-361.
  13. Card, D. (2005, Nov). Is the New Immigration Really so Bad? The Economic Journal, 115(507), 300-323.
  14. Chaverri, P. & Arguedas Ramírez, A. (2020). Evidence Based Public Policies: A Review of the Concept and Its Characteristics. Revista ABRA, 40(60), 40-67.
  15. Cortes, P. (2008). The Effect of Low-Skilled Immigration on US Prices: Evidence from CPI Data. Journal of Political Economy, 116(3), 381-422.
  16. D'Albis, H., Boubtane, E., & Coulibaly, D. (2016). Immigration Policy and Macroeconomic Performance in France. Annals of Economics and Statistics, (121/122), 279-308.
  17. D'Albis, H., Boubtane, E., & Coulibaly, D. (2017). International Migration and Regional Housing Markets: Evidence from France. EconomiX Working Papers.
  18. D'Albis, H., Boubtane, E., & Coulibaly, D. (2018). Immigration and Government Spending in OECD Countries. HAL Open Science. https://pjse.hal.science/hal-01852411/document
  19. Furlanetto, F., & Robstad, Ø. (2019). Immigration and the Macroeconomy: Some New Empirical Evidence. Review of Economic Dynamics, 34, 1-19.
  20. González, M., Chamorro, S., Zurita, E., & Cejas, M. (2023). Macroeconomic Factors that Conditioned International Migration from Ecuador: A Scientific Approach for the Period 2000-2021. Migration Letters, 21(2), 535-553.
  21. Grossman, J. B. (1982). The Sustainability of Natives and Immigration in Productive.
  22. Review of Economics and Statistics, 64, 596-603.
  23. Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press.
  24. Hurtado Rendón, A., Franco González, H. & Botero García, J. A. (2011). Los modelos DSGE: una respuesta de la discusión macroeconómica. Estudios Económicos, 28(57), 59-77.
  25. Instituto Nacional de Estadísticas y Censos INEC (2015). Metodología Encuesta
  26. a. Nacional de Empleo, Desempleo y Subempleo ENEMDU. INEC.
  27. Instituto Nacional de Estadísticas y Censos INEC. (2024a). Encuesta Nacional de Empleo, Desempleo y subempleo ENEMDU. INEC.
  28. Instituto Nacional de Estadísticas y Censos INEC. (2024b). Estadísticas de Seguridad Integral. INEC.
  29. Johansen, S. (1995). Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. OUP Oxford.
  30. Kiguchi, T., & Mountford, A. (2017). Immigration and Unemployment: A Macroeconomic Approach. Macroeconomic Dynamics, 23, 1313-1339.
  31. Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer Science & Business Media.
  32. Macías, K., Allán, T., Cedeño, N., Rivera, J., & Bernal, J. (2024). Determinantes y tendencias de la migración en Ecuador: un análisis econométrico. Revista Latinoamericana de Ciencias Sociales y Humanidades, 5, 968-986.
  33. Mandelman, F. S., & Zlate, A. (2012, March). Immigration, Remittances and Business Cycles. Journal of Monetary Economics, 59(2), 196-213.
  34. Martínez, U. (2000). Teorías de las migraciones. En Migraciones & Exilios: Cuadernos se la Asociación para el Estudio de los Exilios y Migraciones Ibéricos Contemporáneos, (1), 11-26.
  35. Novales, A. (2017). Modelos vectoriales autorregresivos. Universidad Complutense de
  36. a. Madrid.
  37. Ruiz, N. & García, J. (2022). Estudio de causalidad entre la migración y el subempleo en el Ecuador, 2012-2020. Identidad Bolivariana, 6(1), 104-125.
  38. Sutcliffe, S. & Court, J. (2006). Herramientas para diseñadores de políticas públicas en países en desarrollo. Instituto de Desarrollo en Países Extranjeros. https://cdn.odi.org/media/documents/3520.pdf
  39. Stock, J. & Watson, M. W. (2020). Introducción a la econometría. Pearson Education.
  40. Vizuete-Guadalupe, J., González-Bautista, M. & Zurita-Moreano, E. (2023). Determinantes macroeconómicos de los flujos migratorios ecuatorianos hacia Estados Unidos, período 1990-2020. Boletín de Coyuntura, 49, 26-37.

Downloads

Download data is not yet available.

Similar Articles

<< < 15 16 17 18 19 20 21 22 23 24 > >> 

You may also start an advanced similarity search for this article.