Global shocks and trade response - terms of trade, J-curve and the Marshall-Lerner condition: evidence from Brazil
DOI:
https://doi.org/10.1590/1980-53575431mfmjKeywords:
J-curve, Marshall-Lerner condition, Terms of trade, Global shocks, SVARAbstract
The traditional terms of trade (TOT) shock analysis may be an unrealistic experiment, especially for a small open economy where the state of the world economy endogenously determines TOT. The dynamic relation between TOT and the trade balance needs to consider the nature of the global shock that jointly moves price and income, globally and domestically. We estimate Bayesian global SVARs for Brazil using a structure that easily communicates to traditional DSGE models to evaluate the presence of the J-curve and the Marshall-Lerner condition (MLC) following innovations we claim to resemble world supply and demand shocks. We do not encounter a J-curve for aggregate trade nor for trade in fuel, and capital and consumption goods. MLC is not verified only for trade in capital goods, but even in the cases where MLC is present, we observe that TOT and the volume exported are not correlated as expected, since improvement in the volume exported happens when TOT appreciates. Our results suggest that income effect plays the most prominent role for the dynamics of the trade balance and for the validity of the MLC, dominating the TOT effect.
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Ali, Syed Zahid, and Sajid Anwar. “Anticipated versus unanticipated terms of trade shocks and the J-curve phenomenon.” Journal of International Money and Finance 81 (2018): 1-19.
Antolín-Díaz, Juan, and Juan F. Rubio-Ramírez. “Narrative sign restrictions for SVARs.” American Economic Review 108, no. 10 (2018): 2802-2829.
Arruda, Elano Ferreira, Antônio Clécio de Brito, and Pablo Urano de Carvalho Castelar. “Exchange Rate and Trade Balances in Brazil: A Disaggregated Analysis by Major Economic Categories.” International Journal of Economics and Finance 14, no. 6 (2022): 1-62.
Arruda, Elano Ferreira, Pablo Urano De Carvalho Castelar, and Gabriel Martins. “The J-Curve and the Marshall-Lerner Condition: Evidence for net exports in the Southern region of Brazil.” Planejamento e Políticas Públicas 52, no. 1 (2019): 17-48.
Arruda, Elano Ferreira, and Gabriel Martins. “Taxa de câmbio e exportações líquidas: uma análise para os estados brasileiros.” Nova Economia 30 (2020): 111-142.
de Azevedo, Dalylla Soares, Elano Ferreira Arruda, Antônio Clécio de Brito, and Pablo Castelar. “Dynamic elasticities of the trade balance of Brazilian agriculture in relation to the exchange rate.” The International Trade Journal 38, no. 2 (2024): 201-218.
Backus, David, Patrick J. Kehoe, and Finn Kydland. “Dynamic of the trade balance and the terms of trade: The j-curve?” American Economic Review 84. no. 1 (1994): 84–103.
Bahmani‐Oskooee, Mohsen, Augustine C. Arize, and Ebere Ume Kalu. “US‐South America trade and the J‐Curve: An asymmetric analysis.” The World Economy 45, no. 12 (2022): 3858-3872.
Bahmani‐Oskooee, Mohsen, and Scott W. Hegerty. “The J‐and S‐curves: A survey of the recent literature.” Journal of Economic Studies 37, no. 6 (2010): 580-596.
Bahmani-Oskooee, Mohsen, and Artatrana Ratha. “The J-curve: a literature review.” Applied economics 36, nº 13 (2004): 1377-1398.
Bekaert, Geert, Eric Engstrom, and Andrey Ermolov. “Macro risks and the term structure of interest rates.” Journal of Financial Economics 141, nº 2 (2021): 479-504.
Bernanke, Ben S., Mark Gertler, Mark Watson, Christopher A. Sims, and Benjamin M. Friedman. “Systematic monetary policy and the effects of oil price shocks.” Brookings papers on economic activity 1997, no. 1 (1997): 91-157.
Blanchard, Olivier Jean. “A traditional interpretation of macroeconomic fluctuations.” The American Economic Review (1989): 1146-1164.
Boyd, Derick, Gugielmo Maria Caporale, and Ron Smith. “Real exchange rate effects on the balance of trade:
cointegration and the Marshall–Lerner condition.” International Journal of Finance & Economics 6, nº 3 (2001): 187-200.
Charnavoki, Valery, and Juan J. Dolado. “The effects of global shocks on small commodity-exporting economies: lessons from Canada.” American Economic Journal: Macroeconomics 6, no. 2 (2014): 207-237.
Chen, Yu-chin, and Kenneth Rogoff. “Commodity currencies.” Journal of international Economics 60, nº 1 (2003): 133-160.
Christiano, Lawrence J., Martin Eichenbaum, and Charles L. Evans. “Nominal rigidities and the dynamic effects of a shock to monetary policy.” Journal of political Economy 113, no. 1 (2005): 1-45.
Cushman, David O., and Tao Zha. “Identifying monetary policy in a small open economy under flexible exchange rates.” Journal of Monetary economics 39, no. 3 (1997): 433-448.
Dalla, Violetta, Liudas Giraitis, and Peter CB Phillips. “Robust tests for white noise and cross-correlation.” Econometric Theory 38, nº 5 (2022): 913-941.
Drechsel, Thomas, and Silvana Tenreyro. “Commodity booms and busts in emerging economies.” Journal of International Economics 112 (2018): 200-218.
Enders, Walter. Applied econometric time series. John Wiley & Sons, 2008.
Ermolov, Andrey. “Time-varying risk of nominal bonds: How important are macroeconomic shocks?” Journal of Financial Economics 145, nº 1 (2022): 1-28.
Fernández, Andrés, Andrés González, and Diego Rodriguez. “Sharing a ride on the commodities roller coaster: Common factors in business cycles of emerging economies.” Journal of International Economics 111 (2018): 99-121.
Fernández, Andrés, Stephanie Schmitt-Grohé, and Martín Uribe. “World shocks, world prices, and business cycles: An empirical investigation.” Journal of International Economics 108 (2017): S2-S14.
Ferreira, Mauro Sayar, and André Cordeiro Valério. “Global shocks in emerging economies: An empirical investigation.”Revista Brasileira de Economia 76, nº 3 (2022): 315-348.
Ramos Filho, Hélio Sousa, and Maysa Evellyn Porfírio Ferreira. “A taxa de câmbio e os ajustes no saldo da balança comercial brasileira: uma análise setorial da curva J.” Nova Economia 26 (2016): 887-907.
Reis Gomes, Fábio Augusto, and Lourenço Senne Paz. “Can real exchange rate devaluation improve the trade balance? The 1990–1998 Brazilian case.” Applied Economics Letters 12, nº 9 (2005): 525-528.
Kilian, Lutz, and Helmut Lütkepohl. Structural vector autoregressive analysis. Cambridge University Press, 2017.
Kim, Soyoung. “International transmission of US monetary policy shocks: Evidence from VAR’s.” Journal of monetary Economics 48, no. 2 (2001): 339-372.
Kose, M. Ayhan. “Explaining business cycles in small open economies’: How much do world prices matter?’.” Journal of International Economics 56, no. 2 (2002): 299-327.
Leeper, Eric M. “Narrative and VAR approaches to monetary policy: Common identification problems.” Journal of Monetary Economics 40, no. 3 (1997): 641-657.
Lütkepohl, Helmut. New introduction to multiple time series analysis. Springer Science & Business Media, 2005.
Mendoza, Enrique G. “The terms of trade, the real exchange rate, and economic fluctuations.” International Economic Review (1995): 101-137.
Miranda-Agrippino, Silvia, and Giovanni Ricco. “The transmission of monetary policy shocks.” American Economic Journal: Macroeconomics 13, nº 3 (2021): 74-107.
Moura, Guilherme, and Sergio Da Silva. “Is there a Brazilian J-curve.” Economics Bulletin 6, no. 10 (2005): 1-17.
Park, Joon Y., and Peter CB Phillips. “Statistical inference in regressions with integrated processes: Part 1.” Econometric Theory 4, nº 3 (1988): 468-497.
Park, Joon Y., and Peter CB Phillips. “Statistical inference in regressions with integrated processes: Part 1.” Econometric Theory 4, nº 3 (1988): 468-497.
Ribeiro. M. P; Vasconcelos. C. F. V.; and Silva. C. Exchange variation and non-linear effect on exports: a sectoral analysis by technological intensity. 51o Encontro Nacional de Economia. Rio de Janeiro. RJ. Brazil. 2021.
Rocha, Francisco JS, Macos RV Magalhães, and Átila Amaral Brilhante. “A BVAR Note on the J-Curve and the Marshall-Lerner Condition for Brazil.” International Journal of Economics and Finance 16, nº 3 (2024).
Schmitt‐Grohé, Stephanie, and Martín Uribe. “How important are terms‐of‐trade shocks?” International Economic Review 59, nº 1 (2018): 85-111.
Senhadji, Abdelhak S. “Dynamics of the trade balance and the terms of trade in LDCs: The S-curve.” Journal of International Economics 46, nº 1 (1998): 105-131
Shousha, Samer. “Macroeconomic effects of commodity booms and busts: The role of financial frictions.” Unpublished manuscript (2016).
Sims, Christopher A. “Macroeconomics and reality.” Econometrica: journal of the Econometric Society (1980): 1-48.
Sims, Christopher A., James H. Stock, and Mark W. Watson. “Inference in linear time series models with some unit roots.” Econometrica: Journal of the Econometric Society (1990): 113-144.
Sims, Christopher A., and Tao Zha. “Bayesian methods for dynamic multivariate models.” International Economic Review (1998): 949-968.
Uribe, Martin, and Stephanie Schmitt-Grohé. Open economy macroeconomics. Princeton University Press, 2017.
Zha, Tao. “Block recursion and structural vector autoregressions.” Journal of Econometrics 90, no. 2 (1999): 291-316.
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