Do Public Expenditure and Subsidies have an Impact on Chile's GDP?
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This paper analyzes the effect of public spending on the Chilean economy by analyzing quarterly data for the period 1990-2018. GDP and public expenditure among other macroeconomic variables have been used to estimate a VEC (Vector Error Correction) model. The main objective is to investigate an important component of public spending, such as Government transfers, and their impact on economic growth. Results show a bidirectional causal relationship of the Granger type between GDP and spending on government subsidies. By the same token, there is a unidirectional relationship of the unemployment rate towards subsidy spending. Through a VEC model, short and longterm elasticities are estimated to analyze the adjustment dynamics between the variables being studied, noting the important effect that GDP has on government subsidies spending and the null effect of these subsidies on Chile’s economic growth.
Acemoglu, D., Laibson, D. I., & List, J. A. (2015). Economics. Pearson. Retrieved from https://books.google.cl/books?id=v9m7oAEACAAJ&dq=Acemoglu,+economics&hl=es
-419&sa=X&ved=0ahUKEwjLhJ-yr7DhAhVZHbkGHXHxBogQ6AEIMjAB
Arellano, J. (2005). Del déficit al superávit fiscal: razones para una transformación estructural en Chile (Estudios Públicos No. 101).
Arellano, J. (2006). Structural change in Chile: From fiscal deficits to surpluses. In Challenges to Fiscal Adjustment in Latin America: The Case of Argentina, Brazil, Chile and Mexico (pp. 113–125). Paris: OECD.
https://doi.org/10.1787/9789264022089-6-en
Blanchard, O., & Perotti, R. (2002). An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output. The Quarterly Journal of Economics, 117(4), 1329–1368.https://doi.org/10.1162/003355302320935043
Boiciuc, I. (2015). The Effects of Fiscal Policy Shocks in Romania. A SVAR Approach. Procedia Economics and Finance, 32, 1131–1139. https://doi.org/10.1016/S22125671(15)01578-6
Burret, H., Feld, L. P., & Köhler, E. A. (2013). Sustainability of Public Debt in Germany – Historical Considerations and Time Series Evidence. Journal of Economics and Statistics (Jahrbuecher Fuer Nationaloekonomie Und Statistik), 233(3), 291–335. Retrieved from https://ideas.repec.org/a/jns/jbstat/v233y2013i3p291-335.html
Calderón, C., & Schmidt-Hebbel, K. (2003). Macroeconomic policies and performance in Latin America. Journal of International Money and Finance, 22(7), 895–923.
https://doi.org/10.1016/J.JIMONFIN.2003.09.005
Carlucci, F., & Montaruli, F. (2014). CO-INTEGRATING VAR MODELS AND ECONOMIC POLICY. Journal of Economic Surveys, 28(1), 68–81.
https://doi.org/10.1111/j.1467-6419.2012.00740.x
Cerda, R. A., González, H., & Lagos, L. F. (2006). Is fiscal policy effective? Evidence for an emerging economy: Chile 1833–2000. Applied Economics Letters, 13(9), 575– 580.
https://doi.org/10.1080/13504850500400686
Colombo, V. (2013). Economic policy uncertainty in the US: Does it matter for the Euro area? Economics Letters, 121(1), 39–42.
https://doi.org/10.1016/J.ECONLET.2013.06.024
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366a), 427–431.
https://doi.org/10.1080/01621459.1979.10482531
Dungey, M., & Fry, R. (2009). The identification of fiscal and monetary policy in a structural VAR. Economic Modelling, 26(6), 1147–1160.
https://doi.org/10.1016/J.ECONMOD.2009.05.001
Durbin, J., & Watson, G. S. (1951). Testing for Serial Correlation in Least Squares Regression. II. Biometrika, 38(1/2), 159.
https://doi.org/10.2307/2332325
Easterly, W., & Rebelo, S. (1993). Fiscal policy and economic growth. Journal of Monetary Economics, 32(3), 417–458. https://doi.org/10.1016/0304-3932(93)90025-B
Engel, E., Neilson, C., & Valdés, R. (2011). Chile’s Fiscal Rule as Social Insurance. Working Papers Central Bank of Chile. Retrieved from https://ideas.repec.org/p/chb/bcchwp/627.html
Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251.
https://doi.org/10.2307/1913236
Ffrench-Davis, R. (2010). Latin America: The Structural Fiscal Balance Policy in Chile: A Move Toward Counter-Cyclical Macroeconomics. Journal of Globalization and Development, 1(1). https://doi.org/10.2202/1948-1837.1051
Fiess, N. (2005). Chile`s Fiscal Rule. In C. Burnside (Ed.), Fiscal Sustainability in Theory and Practice: A Handbook (pp. 175–204). Washington, D.C.: The World Bank.
https://doi.org/10.1596/978-0-8213-5874-0
Frankel, J. (2011). A Solution to Fiscal Procyclicality: The Structural Budget Institutions Pioneered by Chile (NBER Working Paper No. 16945). Cambridge, MA.
https://doi.org/10.3386/w16945
Garcia, C. J., Restrepo, J. E., & Tanner, E. (2011). Fiscal rules in a volatile world: A welfare-based approach. Journal of Policy Modeling, 33(4), 649–676.
https://doi.org/10.1016/J.JPOLMOD.2010.12.009
Hobijn, B., Franses, P. H., & Ooms, M. (2004). Generalizations of the KPSS-test for stationarity. Statistica Neerlandica, 58(4), 483–502. https://doi.org/10.1111/j.14679574.2004.00272.x
Igwe, A., Emmanuel, E. C., & Ukpere, W. I. (2015). Impact of fiscal policy variables on economic growth in Nigeria (1970-2012): A managerial economics persperctive. Investment Management and Financial Innovations, 12(2), 169–179. Retrieved from
Ilzetzki, E., Mendoza, E. G., & Végh, C. A. (2013). How big (small?) are fiscal multipliers? Journal of Monetary Economics, 60(2), 239–254.
https://doi.org/10.1016/J.JMONECO.2012.10.011
Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. https://doi.org/10.1016/0165-1889(88)90041-3
Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551.
https://doi.org/10.2307/2938278
Johansen, S. (1995). Likelihood-based inference in cointegrated vector autoregressive models. Retrieved from
https://books.google.cl/books?hl=es&lr=&id=BH7nCwAAQBAJ&oi=fnd&pg=PR9&dq
=johansen+1995+&ots=Zip457mqVK&sig=JuPaOZOqCZlieK7eOvKLjiBI7k8
Kaminsky, G. L., Reinhart, C. M., & Végh, C. A. (2004). When It Rains, It Pours: Procyclical Capital Flows and Macroeconomic Policies. NBER Macroeconomics Annual, 19, 11–53. https://doi.org/10.1086/ma.19.3585327
Karagöz, K., & Keskin, R. (2016). Impact of Fiscal Policy on the Macroeconomic Aggregates in Turkey: Evidence from BVAR Model. Procedia Economics and Finance, 38, 408–420. https://doi.org/10.1016/S2212-5671(16)30212-X
Kopits, G. (2004). Overview of Fiscal Policy Rules in Emerging Markets. In RulesBased Fiscal Policy in Emerging Markets (pp. 1–11). London: Palgrave Macmillan UK.
https://doi.org/10.1057/9781137001573_1
Kumhof, M., & Laxton, D. (2010). Documentos de trabajo - Banco Central de Chile. Documentos de Trabajo ( Banco Central de Chile ), ISSN-e 0717-4411, No. 602, 2010. Banco Central de Chile. Retrieved from
https://dialnet.unirioja.es/servlet/articulo?codigo=3725652
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1–3), 159–178.https://doi.org/10.1016/0304-4076(92)90104-Y
Lanne, M., Lutkepohl, H., & Saikkonen, P. (2002). Comparison of unit root tests for time series with level shifts. Journal of Time Series Analysis, 23(6), 667–685. https://doi.org/10.1111/1467-9892.00285
Lütkepohl, H. (2005). Introduction to Multiple Time Series Analysis. Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-662-02691-5_1
Marattin, L., & Salotti, S. (2014). Consumption multipliers of different types of public spending: a structural vector error correction analysis for the UK. Empirical Economics, 46(4), 1197–1220. https://doi.org/10.1007/s00181-013-0719-0
Medina, J. P., & Soto, C. (2016). Commodity prices and fiscal policy in a commodity exporting economy. Economic Modelling, 59, 335–351.
https://doi.org/10.1016/J.ECONMOD.2016.08.002
Musgrave, R. A. (Richard A., & Musgrave, P. B. (1989). Public finance in theory and practice. McGraw-Hill Book Co.
Newey, W. K., & West, K. D. (1994). Automatic Lag Selection in Covariance Matrix Estimation. The Review of Economic Studies, 61(4), 631–653.
https://doi.org/10.2307/2297912
Peren Arin, K., Koray, F., & Spagnolo, N. (2015). Fiscal multipliers in good times and bad times. Journal of Macroeconomics, 44, 303–311. https://doi.org/10.1016/J.JMACRO.2015.01.002
Perotti, R. (2005, January 1). Estimating the Effects of Fiscal Policy in OECD Countries. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=717561
Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.
https://doi.org/10.1093/biomet/75.2.335
Restrepo, J. E., & Rincón, H. (2006). Identifying Fiscal Policy shocks in Chile and Colombia (Documentos de Trabajo No. 370). Santiago de Chile. Retrieved from
https://www.bcentral.cl/web/guest/documentos-de-trabajo
Saibu, M. O., & Oladeji, S. I. (2008). Openness and the Effects of Fiscal and Monetary Policy Shocks on Real Output in Nigeria (1960-2003)*. African Development Review, 20(3), 529–548. https://doi.org/10.1111/j.1467-8268.2008.00197.x
Saikkonen, P., & Lütkepohl, H. (2002). Testing for a Unit Root in a Time Series with a Level Shift at Unknown Time. Econometric Theory, 18(2), 313–348. https://doi.org/10.1017/S0266466602182053
Shah, A. (2007). Budgeting and budgetary institutions. World Bank.
Wang, L. (2018). Monetary-fiscal policy interactions under asset purchase programs:
Some comparative evidence. Economic Modelling, 73, 208–221.
https://doi.org/10.1016/J.ECONMOD.2018.03.019
Wyplosz, C. (2012). Fiscal Rules: Theoretical Issues and Historical Experiences. Cambridge, MA. https://doi.org/10.3386/w17884
Zayanderoody, M., Seyedkazemi, M., & Jalaee, A. (2017). Study of optimal fiscal policy in Iran. International Journal of Economic Perspectives, 11(3), 1037–1048. Retrieved from