2008
DOI: 10.1590/s0101-41612008000300005
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Brazilian business cycles and growth from 1850 to 2000

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Cited by 14 publications
(14 citation statements)
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“…During the ISI period, there was a process of convergence with the US in GDP, 5 and capital formation grew steadily. The Brazilian growth rate was highly volatile, but as Araújo, Carpena, and Cunha (2008) have reported, this instability did not affect the dynamics of the GDP pattern. High and sustained growth rates occurred along with extensive political stability after the 1950s (in spite of Getulio Vargas' suicide in 1954 and the military coup in 1964) (Barros, 2009).…”
Section: Figure 1 Brazilian Growth Rates and Breakpointsmentioning
confidence: 83%
“…During the ISI period, there was a process of convergence with the US in GDP, 5 and capital formation grew steadily. The Brazilian growth rate was highly volatile, but as Araújo, Carpena, and Cunha (2008) have reported, this instability did not affect the dynamics of the GDP pattern. High and sustained growth rates occurred along with extensive political stability after the 1950s (in spite of Getulio Vargas' suicide in 1954 and the military coup in 1964) (Barros, 2009).…”
Section: Figure 1 Brazilian Growth Rates and Breakpointsmentioning
confidence: 83%
“…For the Brazilian economy, Araújo, Carpena and Cunha [10], analyzing the properties of the growth domestic product from 1850 to 2000, using a GARCH model, did not find statistically significant evidence of the impact of volatility on economic growth. On the other hand, Arbache and Sarquis [11], using data for Brazil from 1901 to 2015, perform several simulations for the Brazilian growth rate and its volatility, and suggest that high volatility has a negative impact on the country's growth.…”
Section: Introductionmentioning
confidence: 94%
“…The second dummy ('other measure of volatility') takes 1 when other measures (apart from GARCH and SD) are used. 4 Regarding the issues associated with the specification of the estimated model, The third category focuses on several aspects of the datasets that have been used so far. Since our pool of primary papers is fairly large, covering almost two decades, we are capable of identifying several potential factors of heterogeneity.…”
Section: Table 2 Here -List Of Moderatorsmentioning
confidence: 99%