The impact of financial openness on economic stability: a dimensionality reduction approach to analyzing helpless rich data
Abstract
This study examines the relationship between financial openness and economic stability, utilizing dimensionality reduction techniques to analyze what has been termed as helpless rich data—a scenario where an abundance of data can obscure meaningful insights. By applying advanced methods of dimensionality reduction, the article assesses how financial openness influences macroeconomic indicators, such as inflation rates, GDP growth, and fiscal policy outcomes. Through the reduction of data complexity, the study aims to simplify the interpretation of financial systems while evaluating the broader implications of economic liberalization. This approach not only enhances our understanding of how financial openness impacts economic stability but also addresses the challenges posed by complex data environments in economic modeling.
Keywords
Financial openness, economic stability, dimensionality reductionHow to Cite
References
Aliber, R. Z., & Kindleberger, C. P. (2015). Manias, panics, and crashes—A history of financial crisis. Palgrave Macmillan. [Google Scholar]
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–291. [Google Scholar] [CrossRef]
Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. [Google Scholar] [CrossRef]
Bekaert, G., Campbell, R. H., & Lundblad, C. (2005). Does financial liberalization spur growth? Journal of Financial Economics, 77(1), 3–55. [Google Scholar] [CrossRef]
Bekaert, G., Campbell, R. H., & Lundblad, C. (2011). Financial openness and productivity. World Development, 39(1), 1–19. [Google Scholar] [CrossRef]
Bellman, R. E. (1957). Dynamic programming. Princeton University Press. [Google Scholar]
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. [Google Scholar] [CrossRef]
Bond, S., Hoeffler, A., & Temple, J. (2001). GMM estimation of empirical growth models. (Economics papers 2001–W21). Economics Group; Nuffield College, University of Oxford. [Google Scholar]
Chinn, M. D., & Ito, H. (2006). What matters for financial development? Capital controls, institutions, and interactions. Journal of Development Economics, 81(1), 163–192. [Google Scholar] [CrossRef]
Chinn, M. D., & Ito, H. (2008). A new measure of financial openness. Journal of Comparative Policy Analysis: Research and Practice, 10(3), 309–322. [Google Scholar] [CrossRef]
Coulibaly, L. (2023). Monetary policy in sudden stop-prone economies. American Economic Journal: Macroeconomics, 15(4), 141–176. [Google Scholar] [CrossRef]
Edison, H. J., Ross, L., Ricci, L., & Torsten, S. (2002). International financial integration and economic growth. Journal of International Money and Finance, 21(6), 749–776. [Google Scholar] [CrossRef]
Fujii, E. (2019). What does trade openness masure? Oxford Bulletin of Economics and Statistics, 81(4), 868–888. [Google Scholar] [CrossRef]
Gozgor, G. (2015). Casual relation between economic growth and domestic credit in the economic globalization: Evidence from the Hatemi-J’s test. Journal of International Trade and Economic Development, 24(3), 395–408. [Google Scholar] [CrossRef]
Gräbner, C., Heimberger, P., Kapeller, J., & Springholz, F. (2021). Understanding economic openness: A review of existing measures. Review of World Economics, 157(1), 87–120. [Google Scholar] [CrossRef]
Guttman, L. (1954). Some necessary conditions for common-factor analysis. Psychometrika, 19, 149–161. [Google Scholar] [CrossRef]
IMF. (2012). The liberalization and management of capital flows: An institutional view (pp. 1–48). International Monetary Fund. [Google Scholar]
Jahan, S., & Wang, D. (2016). Capital account openness in low-income developing countries: Evidence from a new database. (Vol. 252, IMF working papers). International Monetary Fund. [Google Scholar]
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151. [Google Scholar] [CrossRef]
Kim, H.-J. (2008). Common factor analysis versus principle component analysis: Choice for symptom cluster research. Asian Nursing Research, 2(1), 17–24. [Google Scholar] [CrossRef]
Koirala, N. P., Butt, H. A., Zimmerman, J., & Kamara, A. (2024). Financial development, financial openness, and policy effectiveness. Journal of Risk and Financial Management, 17(6), 230. [Google Scholar] [CrossRef]
Kose, M. A., Eswar, S. P., & Taylor, A. D. (2011). Thresholds in the process of international financial integration. Journal of International Money and Finance, 30(1), 147–179. [Google Scholar] [CrossRef]
Kose, M. A., Eswar, S. P., & Terrones, M. E. (2009). Does openness to international financial flows raise productivity growth? Journal of International Money and Finance, 28(4), 554–580. [Google Scholar] [CrossRef]
Kose, M. A., & Ohnsorge, F. (Eds.). (2020). A decade after the global recession: Lessons and challenges. In A decade after the global recession: Lessons and challenges for emerging and developing economies (pp. 5–53). World Bank Group. [Google Scholar]
Krugman, P. (1994). The myth of Asia’s miracle. Foreign Affairs, 73(6), 62–78. [Google Scholar] [CrossRef]
Lane, P., & Milesi-Ferretti, G. (2003). International financial integration. (Vol. 86, IMF working papers). International Monetary Fund. [Google Scholar]
Lane, P., & Milesi-Ferretti, G. (2007). The external wealth of nations mark II: Revised and extended estimates of foreign assets and liabilities, 1970–2004. Journal of International Economics, 73(2), 223–250. [Google Scholar] [CrossRef]
Lane, P., & Milesi-Ferretti, G. (2017). International financial integration in the aftermath of the global financial crisis. (Vol. 115, IMF working papers). International Monetary Fund. [Google Scholar]
Mankiw, N., Gregory, D. R., & Weil, D. N. (1992). A contribution to the empiric of economic growth. Quarterly Journal of Economics, 107(2), 407–437. [Google Scholar] [CrossRef]
McGrattan, E. R. (1998). A defense of AK growth models. Federal Reserve Bank of Minneapolis Quarterly Review, 22(4), 13–27. [Google Scholar] [CrossRef]
Melo, M. D., Cevdet, D., Gelb, A., & Tenev, S. (2001). Circumstance and choice: The role of initial conditions and policies in transition economies. World Bank Economic Review, 15(1), 1–31. [Google Scholar] [CrossRef]
Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417–1426. [Google Scholar] [CrossRef]
Quinn, D., Schindler, M., & Toyoda, A. M. (2011). Assessing measures of financial openness and integration. IMF Economic Review, 59(3), 488–522. [Google Scholar] [CrossRef]
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