Dynamic Elasticities of the Trade Balance of Brazilian Agriculture in Relation to the Exchange Rate

References

• Arruda, E. F., P. U. C. Castelar, and G. Martins. 2019. “The J-Curve and the Marshall-Lerner Condition: Evidence for Net Exports in the Southern Region of Brazil.” Planejamento e Políticas Públicas 52 (1): 17–48.
   Google Scholar
• Arruda, E. F., and G. Martins. 2016. “Curva J e condição de Marshall-Lerner: evidências para as exportações líquidas cearenses.” Revista Economia e Desenvolvimento 15 (1): 40–59.
   Google Scholar
• Arruda, E. F., and G. Martins. 2020. “Taxa de câmbio e exportações líquidas: uma análise para os estados brasileiros.” Nova Economia 30 (1): 111–142. doi:10.1590/0103-6351/4180
   Google Scholar
• Bahmani-Oskooee, M., and J. Alse. 1994. “Short-Run versus Long-Run Effects of Devaluation: Error-Correction Modeling and Cointegration.” Eastern Economic Journal 20 (4): 453–464.
   Google Scholar
• Bahmani-Oskooee, M., and A.C. Arize. 2019. “U.S.-Africa Trade Balance and the J-Curve: An Asymmetry Analysis.” The International Trade Journal 33 (4): 322–343. doi:10.1080/08853908.2019.1570881
   Google Scholar
• Bahmani-Oskooee, M., and H. Fariditavana. 2015. “Nonlinear ARDL Approach, Asymmetric Effects and the J-Curve.” Journal of Economic Studies 42 (3): 519–530. doi:10.1108/JES-03-2015-0042
   Web of Science ®Google Scholar
• Bahmani-Oskooee, M., and T. Kantiapong. 2001. “Bilateral J-Curve Between Thailand and Her Trading Partners.” Journal of Economic Development 26 (2): 107–117.
   Google Scholar
• Bahmani-Oskooee, M., and M. Malixi. 1992. “More Evidence on the J Curve from LDCs.” Journal of Policy Modeling 14 (5): 641–653. doi:10.1016/0161-8938(92)90034-A
   Web of Science ®Google Scholar
• Barros, G.S.C., A.C.O. Adami, and N.F. Zandoná. 2014. Faturamento e volume exportado do agronegócio brasileiro são recordes em 2013. Cepea/ESALQ-USP. Brazil: São Paulo.
   Google Scholar
• Bhat, S.A., and J.A. Bhat. 2021. “Impact of Exchange Rate Changes on the Trade Balance of India: An Asymmetric Nonlinear Cointegration Approach.” Foreign Trade Review 56 (1): 71–88. doi:10.1177/0015732520961328
   Web of Science ®Google Scholar
• Bickerdike, C.F. 1920. “The Instability of Foreign Exchange.” The Economic Journal 30 (117): 118–122. doi:10.2307/2223208
   Google Scholar
• Bierens, Herman J., and Luis F. Martins. 2010. “Time-Varying Cointegration.” Econometric Theory 26 (5): 1453–1490. doi:10.1017/S0266466609990648
   Web of Science ®Google Scholar
• Brada, J. C., A. M. Kutan, and S. Zhou. 1997. “The Exchange Rate and the Balance of Trade: The Turkish Experience.” The Journal of Development Studies 33 (5): 675–692. doi:10.1080/00220389708422489
   Web of Science ®Google Scholar
• Cao-Alvira, J.J. 2014. “Real Exchange Rate Volatility on the Short-And Long-Run Trade Dynamics in Colombia.” The International Trade Journal 28 (1): 45–64. doi:10.1080/08853908.2013.820654.
   Google Scholar
• Dong, F. 2017. “Testing the Marshall-Lerner Condition Between the U.S. and Other G7 Member Countries.” The North American Journal of Economics and Finance 40: 30–40. doi: 10.1016/j.najef.2017.01.003.
   Web of Science ®Google Scholar
• Ebadi, E. 2020. “Comparison of the Marshall-Lerner Condition in OECD and Asian Countries: New Evidence from Pooled Mean Group Estimation.” Economics Bulletin 40 (2): 1332–1348.
   Web of Science ®Google Scholar
• The Economist. 2010. “The Miracle of the Cerrado: Brazil Has Revolutionised Its Own Farms. Can It Do the Same for Others?” The Economist, August 26. Accessed 4 July 2021. https://www.economist.com/briefing/2010/08/26/the-miracle-of-the-cerrado.
   Google Scholar
• Engle, R. F., and C. W. J. Granger. 1987. “Cointegration and Error Correction: Representation, Estimation and Testing.” Econometrica 55 (2): 251–276. doi:10.2307/1913236
   Web of Science ®Google Scholar
• Ghodsi, M., M.S. Karimi, and R. Stehrer 2020. “Does Asymmetric Nonlinear Approach Explain the Relationship Between Exchange Rate and Trade of Iran?” wiiw Working Paper 187. The Vienna Institute for International Economic Studies, Vienna, Austria.
   Google Scholar
• Granger, C.W.J. 1986. “Developments in the Study of Cointegrated Economic Variables.” Oxford Bulletin of Economics and Statistics 48 (3): 213–228. doi:10.1111/j.1468-0084.1986.mp48003002.x
   Web of Science ®Google Scholar
• Hunegnaw, F.B., and S. Kim. 2020. “Exchange Rate and Sectoral Trade Balance Dynamics: Empirical Evidence from Eastern Africa Panel Data.” The International Trade Journal 34 (6): 535–551. doi:10.1080/08853908.2020.1749736
   Google Scholar
• Johansen, S. 1988. “Statistical Analysis of Cointegration Vectors.” Journal of Economic Dynamics & Control 12 (2–3): 231–254. doi:10.1016/0165-1889(88)90041-3
   Web of Science ®Google Scholar
• Karamelikli, H. 2016. “Linear and Nonlinear Dynamics of the Turkish Trade Balance.” International Journal of Economics and Finance 8 (2): 70–80. doi:10.5539/ijef.v8n2p70
   Google Scholar
• Lerner, A. P. 1944. The Economics of Control: Principles of Welfare Economics. New York: The Macmillan Company.
   Google Scholar
• Lobo, F. S. F. 2007. “Análise empírica da existência do fenômeno da curva J para a economia brasileira.” Master’s Degree Dissertation. FGV - Escola de Economia, São Paulo.
   Google Scholar
• Marshall, A. 1923. Money, Credit and Commerce. London: Macmillan and Company.
   Google Scholar
• Metzler, L. A. 1948. “Chapter 6. The Theory of International Trade.” In A Survey of Contemporary Economics, edited by Howard S. Ellis, Vol. I, 210–254. Homewood, Illinois: Richard D. Irwin, Inc.
   Google Scholar
• Moura, G. V. 2005. “Condição de Marshall-Lerner e quebra estrutural na economia brasileira.” Master’s Degree Dissertation. UFRGS - Programa de Pós-Graduação em Economia, Porto Alegre.
   Google Scholar
• Moura, G., and S. Da Silva. 2005. “Is There a Brazilian J-Curve?” Economics Bulletin 6 (10): 1–17.
   Google Scholar
• Neto, D. 2015. “Testing for and Dating Structural Break in Smooth Time-Varying Cointegration Parameters, with an Application to Retail Gasoline Price and Crude Oil Price Long-Run Relationship.” Empirical economics 49 (3): 909–928. doi:10.1007/s00181-014-0907-6
   Web of Science ®Google Scholar
• Palma, A. A. 2017. “Política monetária e taxa de câmbio em uma pequena economia aberta: uma análise empírica para o Brasil.” Nova Economia 27 (2): 119–155. doi:10.1590/0103-6351/2967
   Google Scholar
• Pesaran, M. H., Y. Shin, and R. J. Smith. 2001. “Bounds Testing Approaches to the Analysis of Level Relationships.” Journal of Applied Econometrics 16 (3): 289–326. doi:10.1002/jae.616
   Web of Science ®Google Scholar
• Qayyum, A., S. Nazir, and M. Jawad 2016. “Nonlinearity Between RER and Trade Balance: A Case Study of Pakistan.” Munich Personal RePEc Archive (MPRA) Paper No. 72589. Accessed 16 May 2022. https://mpra.ub.uni-muenchen.de/72589/
   Google Scholar
• Robinson, J. 1947. Essays in the Theory of Employment, Second. Oxford: Basil Blackwell.
   Google Scholar
• Scalco, P. R., H. D. Carvalho, and A. C. Campos. 2012. “Choques na Taxa de Câmbio Real e o Saldo da Balança Comercial Agropecuária Brasileira: evidências da Curva J entre 1994 e 2007.” Revista de Economia e Sociologia Rural 54 (3): 595–610. doi:10.1590/S0103-20032012000400001
   Google Scholar
• Sonaglio, C. M., P. R. Scalco, and A. C. Campos. 2010. “Taxa de câmbio e a balança comercial brasileira de manufaturados: evidências da J-Curve.” EconomiA 11 (3): 711–734.
   Google Scholar
• Sweidan, O. D. 2013. “The Effect of Exchange Rate on Exports and Imports: The Case of Jordan.” The International Trade Journal 27 (2): 156–172. doi:10.1080/08853908.2013.738515
   Google Scholar
• Vasconcelos, C. R. F. 2010. “Dinâmica de curto e longo prazo da balança comercial brasileira: a validade da hipótese da curva J.” Working Paper. Texto para discussão nº. 007/2010. FE/UFJF - Programa de Pós-graduação em Economia Aplicada. Juiz de Fora, Minas Gerais, Brazil.
   Google Scholar