Abstract
Since the 1990s, central banks in many industrialized and developing countries have adopted similar policy strategies for stabilizing inflation. In this context, it has been argued that during common policy periods, the relationships between inflation, output growth, and their uncertainties are stable and more uniform across countries. We intend to verify this for 19 countries using both linear and non-linear bivariate GARCH-in-mean models. According to our findings, the non-linear regime-dependent model performs better in most of the sampled countries. It has been observed that inflation uncertainty has a significant impact on inflation, particularly in developing countries. Nominal and real uncertainty affect output growth primarily during periods of economic contraction. Although nominal uncertainty inhibits output growth, real uncertainty has mixed effects. In most countries, negative growth shocks result in greater output growth volatility than positive growth shocks. Furthermore, in some countries, output growth significantly increases inflation only in high-inflation regimes.
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Notes
Several competing theories have been proposed in the last three decades in order to explain the above linkages. Simultaneously, a substantial amount of empirical research has been carried out to determine the true nature of these relationships [see Fountas et al. (2006), Bredin and Fountas (2009), Bhar and Mallik (2013), and Conrad and Karanasos (2015) for details on the theories and empirical works]. The empirical results, however, are not conclusive; rather, they vary significantly across countries depending on monetary policy regimes and economic development of a country.
In the ‘two-step’ procedure (Fountas et al. 2002; Fountas and Karanasos 2007), a bivariate GARCH type model has been employed in the first step to estimate the conditional volatilities of inflation and output growth, and then in the second step, a VAR setup with inflation, growth, and their respective volatilities has been used to examine different possible causal relationships.
Except Neanidis and Savva (2013), who consider data from G7 countries, other studies mainly focus on the USA.
In the literature, the diagonal CCC (constant conditional correlation) of Bollerslev (1990) and the BEKK model of Engle and Kroner (1995) are frequently used to measure macroeconomic uncertainties in a bivariate framework (Grier et al. 2004; Bredin and Fountas 2005, 2009; Shields et al. 2005; Fountas et al. 2006; Bhar and Mallik 2010; Conrad and Karanasos 2010).
SETVAR-AGARCH-M nests both VAR-GARCH-M and VAR-AGARCH-M, whereas VAR-GARCH-M is nested in VAR-AGARCH-M.
By expanding Eq. (3), we obtain the following specification for the conditional variance of inflation \({h}_{x, t}={c}_{11}^{2}+{c}_{12}^{2}+{\alpha }_{11}^{2}{\varepsilon }_{x,t-1}^{2}+2{\alpha }_{11}{\alpha }_{12}{\varepsilon }_{x, t-1}{\varepsilon }_{y, t-1}+{\alpha }_{12}^{2}{\varepsilon }_{y,t-1}^{2}+{\beta }_{11}^{2}{h}_{x, t-1}+2{\beta }_{11}{\beta }_{12}{h}_{xy, t-1}+{\beta }_{12}^{2}{h}_{y, t-1}+{d}_{11}^{2}{u}_{x,t-1}^{2}+2{d}_{11}{d}_{12}{u}_{x, t-1}{u}_{y, t-1}+{d}_{12}^{2}{u}_{y,t-1}^{2}\).
The conditional variance of output growth can be specified in a similar way. It is worth noting that the direct effect of real uncertainty on nominal uncertainty (indicated by \({\alpha }_{12}^{2}\), \({\beta }_{12}^{2}\), and \({d}_{12}^{2}\)) is positive. The coefficient \({d}_{11}^{2}\) also indicate that the asymmetric effect of negative shocks in inflation on inflation uncertainty is positive.
Among this group, some countries like Brazil, the Philippines, Norway, Spain, Sweden, the UK, the USA, Chile, Israel, and South Africa are inflation targeters, and the rest are non-inflation targeters. Although non-targeting countries lack an explicit inflation target, they frequently announce a desired level of inflation and periodically evaluate monetary policies in pursuit of price stability. For instance, the European Central Bank (ECB) does not consider itself an inflation targeting-central bank; however, since the inception of the euro in 1999, it has set a desired inflation rate of 2% or less for all euro area countries.
According to data availability, the beginning and ending dates for the Philippines, Barbados, Chile, and Jordan are January 1993 and December 2017, January 1990 and October 2014, January 1997 and December 2017, and January 1997 and December 2017, respectively. In Brazil, we have chosen January 1995 as the starting point, thus excluding the hyperinflationary periods of the first half of the 1990s.
In order to reduce the computational burden, the search for an optimal p was limited to lags from 1 to 8 for all countries. The results are available on request.
We have performed the Ljung-Box test on both standardized and squared standardized residuals to examine the adequacy of our models. However, we do not report them for brevity, but they are available on request.
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The author is grateful to the anonymous reviewers for their insightful comments on this paper. The valuable comments made by them have significantly improved the paper. The remaining errors, if any, are, however, the sole responsibility of the author.
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Chowdhury, K.B. Relationships between inflation, output growth, and uncertainty in the era of inflation stabilization: a multicountry study. Empir Econ 66, 623–650 (2024). https://doi.org/10.1007/s00181-023-02473-z
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DOI: https://doi.org/10.1007/s00181-023-02473-z