Output volatility in Australia

A number of papers have documented a significant decline in real GDP volatility in several major OECD economies. Some authors have presented evidence to suggest that this is the outcome of a one-off structural break from a high to low volatility state whilst others have estimated regime switching models that indicate low volatility regime states have dominated in recent years. This article provides further evidence on the general properties of output volatility for Australia, including evidence of a significant moderation in output volatility for the country that occurred in the early 1980s. Estimates of various GARCH models of real GDP growth are also provided to further examine shorter term volatility features of the Australian economy that are associated with its business-cycle. A regime shift dummy is maintained in all models of the conditional variance in order to account for the regime shift in volatility and evidence is found of significant business-cycle effects, including leverage effects and asymmetries that suggest recessions are times of higher output volatility than economic expansions. Overall, it is concluded that the so-called ‘Great Moderation’ in macroeconomic instability, as documented here for Australia, is a result of a myriad of economic, institutional and policymaking changes.     

International Spillovers of Output Growth and Output Growth Volatility: Evidence from the G7

This paper examines the transmission of GDP growth and GDP growth volatility among the G7 countries over the period 1960Q1 – 2010Q4, using a multivariate GARCH model and volatility impulse response functions (VIRFs) to identify the source, magnitude and the duration of volatility spillovers. Results indicate the presence of positive own-country GDP growth spillovers in each country and cross-country GDP growth spillovers among most of the G7 countries. In addition, the large number of significant own-country output growth volatility spillovers and cross-country output growth volatility spillovers indicates that output growth shocks in most of the G7 countries affect output growth volatility in the other remaining countries. An additional finding is that the duration of output growth volatility spillovers has increased over time from some seven quarters in the 1970s to some ten quarters during the recent crisis, which is likely to be due to the increased integration of goods and financial markets.     

Postwar slowdowns and long-run growth: a Bayesian analysis of structural break models

Using Bayesian methods, we re-examine the empirical evidence from Ben-David, Lumsdaine, and Papell (Empir Econ 28:303–319, 2003) regarding structural breaks in the long-run growth path of real output series for a number of OECD countries. Our Bayesian framework allows the number and pattern of structural changes in trend and variance to be endogenously determined. We find little evidence of postwar growth slowdowns across countries, and smaller output volatility for most of the developed countries after the end of World War II. Our empirical findings are consistent with neoclassical growth models, which predict increasing growth over the long run. The majority of the countries we analyze have grown faster in the postwar era as opposed to the period before the first break.     

Macroeconomic Volatility and the Current Account: Evidence from a Panel of OECD Countries

ABSTRACT

This paper investigates the relationship between macroeconomic volatility and the current account. Using quarterly data for a panel of OECD economies, time-varying relative volatility measures are constructed for GDP, net output, and government consumption. The empirical evidence suggests that current account balances are positively affected by all three volatility measures. Moreover, the current account balance is found to be related positively to output growth and negatively to the growth of government consumption. Evidence from saving and investment rates also suggests that the precautionary saving motive is part of (though perhaps not the entire) mechanism that relates output volatility and the current account. Broadly consistent with the predictions of the standard theoretical model, these estimates are sizable, statistically significant, and robust.     

Fiscal Convergence, Business Cycle Volatility, and Growth

This paper analyzes the effects of fiscal convergence on business cycle volatility and growth. Using a panel of 11 EMU and 21 OECD countries and 40 years of data, we find that countries with similar government budget positions tend to have smoother business cycles. That is, fiscal convergence (in the form of persistently similar ratios of government surplus/deficit to GDP) is systematically associated with smoother business cycles. We also find evidence that reduced business cycle volatility through higher fiscal convergence stimulates growth. Our empirical results are economically and statistically significant, and robust.     

Level and dynamics of financial depth: consequences for volatility of GDP

The existing literature documents positive but potentially non-linear relationship between financial depth measured as private credit to GDP ratio and volatility of GDP. In this paper, we extend the analysis by considering also the role of financial depth dynamics. We use dynamic spatial panel models to address the issue of cross-sectional dependence of errors obtained from the standard dynamic panel models. We confirm the non-linear impact of the financial depth level but also find that higher growth rates of financial depth are significantly associated with higher volatility of output. The role of the latter factor is considerably more important in terms of explained variance compared to the impact of the private credit level. These results are robust to changes in the sample range, specification of the model, and measurement of the key variables. We also document considerable differences between the estimates obtained from the standard GMM and the spatial models.     

On the link between volatility and growth

A model of growth with endogenous innovation and distortionary taxes is presented. Since innovation is the only source of volatility, any variable that influences innovation directly affects volatility and growth. This joint endogeneity is illustrated by working out the effects through which economies with different tax levels differ in their volatility and growth process. We obtain analytical measures of macro volatility based on cyclical output and on output growth rates for plausible parametric restrictions. This analysis implies that controls for taxes should be included in the standard growth-volatility regressions. Our estimates show that the conventional Ramey–Ramey coefficient is affected sizeably. In addition, tax levels do indeed appear to affect volatility in our empirical application.     

Monetary policy and the role of inventory investment

In this article, we develop a dynamic stochastic general equilibrium (DSGE) model with sticky prices and inventory investment to explore the relationship between inventories and monetary policy. We use the traditional inventory literature as a basis to motivate this extension of the benchmark model and propose inventories as a factor of production. Within this setting, we test the empirical findings in the literature that, since the mid-1980s, monetary policy changed its target towards the inventory component of GDP. We explore this idea in our theoretical model and conclude through simulations that this is a plausible complementary explanation for the reduction in output volatility that was observed during the Great Moderation period.     

Home is Where You Know Your Volatility – Local Investor Sentiment and Stock Market Volatility

Using a new variable to measure investor sentiment we show that the sentiment of German and European investors matters for return volatility in local stock markets. A flexible empirical similarity (ES) approach is used to emulate the dynamics of the volatility process by a time‐varying parameter that is created via the similarity of realized volatility and investor sentiment. Out‐of‐sample results show that the ES model produces significantly better volatility forecasts than various benchmark models for DAX and EUROSTOXX. Regarding other international markets no significant difference between the forecasts can be observed.     

Determinants of housing price volatility in Canada: a dynamic analysis

This article tries to identify the determinants of housing price volatility and to examine the dynamic effects of these determinants on volatility using quarterly data for Canada. The Generalized Autoregressive Conditional Heteroskedastic (GARCH) and the Vector Autoregressive (VAR) models have been employed to analyse possible time variation of the housing price volatility and the interactions between the volatility and the key macroeconomic variables. We find the evidence of time varying housing price volatility for Canada. Our VAR, Granger causality and variance decomposition (VDC) analyses demonstrate that housing price volatility is affected significantly by gross domestic product (GDP) growth rate, housing price appreciation rate and inflation. On the other hand, volatility affects GDP growth rate, housing price appreciation and volatility itself. The impulse response analysis reveals the asymmetric of the positive and negative shocks. The findings of this article have important implications, particularly for those seeking to develop derivatives for housing market prices.     

Income Inequality and Macroeconomic Volatility: An Empirical Investigation

We explore the impact of macroeconomic volatility on the distribution of income. Using a cross‐section of developed and developing countries, we find that greater output volatility, defined as the standard deviation of the rate of output growth, is associated with a higher Gini coefficient and income share of the top quintile. The coefficients suggest that a strong effect on inequality resulting from a reduction in volatility: the Gini coefficient of a country like Chile would fall by 6 points if it were to reduce its volatility to the same level as Sweden or Norway. Our results seem not to be driven by the high‐inequality/high‐volatility Latin American countries.     

Sovereign credit ratings,growth volatility and the global financial crisis

Using monthly data from January 1996 to May 2010 for a panel of 76 developed and emerging economies and adopting an instrumental variable (IV) estimation technique by correcting for both heterogeneity and endogeneity with the generalized two-stage least squares (G2SLS, EC2SLS) procedure method suggested by Balestra and Varadharajan-Krishnakumar (1987) and Baltagi and Li (1995), this article provides empirical evidence that volatility of per capita GDP growth is reduced when there are positive changes in credit ratings; in other words when sovereign credit risk improves. To deal with potential simultaneity between sovereign credit ratings and output volatility, a system (3SLS) approach is undertaken, and our findings remain robust. By weakening the volatility dampening effects of ratings changes, it is found that the global financial crisis (GFC) has enhanced macroeconomic volatility. One of the channels via which sovereign rating changes affect growth volatility is the financial markets’ repricing of sovereign default risk that is reflected in sovereign credit default swap (CDS) spreads and its volatility.     

TESTING CATCHING‐UP BETWEEN THE DEVELOPING COUNTRIES: “GROWTH RESISTANCE” AND SOMETIMES “GROWTH TRAGEDY”

This paper provides empirical evidence that there is no convergence between the GDP per‐capita of the developing countries since 1950. Relying upon recent econometric methodologies (non‐stationary long‐memory models, wavelet models and time‐varying factor representation models), we show that the transition paths to long‐run growth (the catch‐up dynamics) are very persistent over time and non‐stationary, thereby yielding a variety of potential steady states (conditional convergence). Our findings do not support the idea according to which the developing countries share a common factor (such as technology) that eliminates per‐capita output divergence in the very long run. Instead, we conclude that growth is an idiosyncratic phenomenon that yields different forms of transitional economic performance: growth tragedy (some countries with an initial low level of per‐capita income diverge from the richest ones), growth resistance (with many countries experiencing a low speed of growth convergence), and rapid convergence.     

CROSS-COUNTRY EVIDENCE ON OUTPUT GROWTH VOLATILITY: NONSTATIONARY VARIANCE AND GARCH MODELS

This paper revisits the issue of conditional volatility in real gross domestic product (GDP) growth rates for Canada, Germany, Italy, Japan, the United Kingdom, and the United States. Previous studies find high persistence in the volatility. This paper shows that this finding largely reflects a nonstationary variance. Output growth in the six countries became noticeably less volatile over the past few decades. In this paper, we employ the modified iterated cumulative sum of squares (ICSS) algorithm to detect structural change in the variance of output growth. One structural break exists in each of the six countries after identifying outliers and mean shifts in the growth rates. We then use generalized autoregressive conditional heteroskedasticity (GARCH) specifications, modeling output growth and its volatility with and without the break in volatility. The evidence shows that the time-varying variance falls sharply in Canada and Japan, and disappears entirely in Germany, Italy, the United Kingdom and the United States, once we incorporate the break in the variance equation of output for the six countries. That is, the integrated GARCH (IGARCH) effect proves spurious and the GARCH model demonstrates misspecification, if researchers neglect a nonstationary variance. Moreover, we also consider the possible effects of our more correct measure of output volatility on output growth as well as the reverse effect of output growth on its volatility. The conditional standard deviation possesses no statistical significance in all countries, except a significant negative effect in Japan. The lagged growth rate of output produces significant negative and positive effects on the conditional variances in Germany and Japan, respectively. No significant effects exist in Canada, Italy, the United Kingdom, and the United States.     

The effect of output growth volatility on output growth: empirical evidence from Turkey

This article assesses the effect of output growth volatility on output growth within a stochastic-volatility-in-mean model with a time-varying framework for an open small economy: Turkey. Until now, the empirical evidence on industrial production mainly reveals that this relationship is negative. However, in further examining different sectors and sub-sectors of industrial production, we find the sign of the relationship changes depending on the sector. Moreover, there is limited evidence that the sign of the relationship changes over time. Thus, the evidence reveals that the nature of the output growth volatility–output growth relationship is not uniform across sectors.     

Fluctuations in convex models of endogenous growth, I: Growth effects

Is there a trade-off between fluctuations and growth? The empirical evidence is mixed, with some studies finding a positive relationship, while others find a negative one. Our objectives are to understand how fundamental uncertainty affects the long run growth rate and to identify important factors determining this relationship in a convex endogenous growth model. Qualitatively, we show that the relationship between volatility in fundamentals (or policies) and mean growth can be either positive or negative. The curvature of the utility function is a key parameter that determines the sign of the relationship. Quantitatively, an increase in uncertainty always increases the growth rate in our calibrated models. Though the changes we find are nontrivial, they are not large enough by themselves to account for the large differences in growth rates observed in the data. We also find that differences in the curvature of preferences have very substantial effects on the estimated variability of stationary objects like the consumption–output ratio and hours worked. For this reason, we expect that the models considered in this paper will provide the basis of sharp estimates of the curvature parameter.     

Private information, money, and growth: Indeterminacy, fluctuations, and the Mundell-Tobin effect

We introduce an informational asymmetry into an otherwise standard monetary growth model and examine its implications for the determinacy of equilibrium, for endogenous economic volatility, and for the relationship between steady-state output and the rate of money growth. Some empirical evidence suggests that, for economies with low initial inflation rates, permanent increases in the money growth rate raise long-run output levels. This relationship is reversed for economies with high initial inflation rates. Our model predicts this pattern. Moreover, in economies with high enough rates of inflation, credit rationing emerges, monetary equilibria become indeterminate, and endogenous economic volatility arises.     

Spillover Effects of Real and Nominal Uncertainties in India

This paper examines the spillover effects and the causality between inflation, output growth and its uncertainties for India. Using monthly data for the period from April 1980 to April 2011, we estimated a bi-variate GARCH in mean with BEKK representations. This study differs from the earlier works where the parameters in the BEKK representations are estimated individually and the inferences are drawn on the basis of the individual lagged variance, covariance, and error terms from the respective equations. The empirical evidence suggests that inflation uncertainty seems to have significant negative impact on output growth and positive impact on output uncertainty and there is a positive influence of output uncertainty on the inflation. More importantly, there are spillovers and volatility transmission effects between the macroeconomic uncertainties where the volatility in output growth is significantly influenced by the shocks and volatility in inflation.

     

中国经济结构调整对宏观经济波动的“熨平效应”分析

本文利用方差分解方法,分别研究了在支出法和生产法GDP核算下,经济结构调整是否对宏观经济波动具有"熨平"效应。结果发现:(1)无论是以支出法还是生产法来衡量GDP,经济结构调整都对宏观经济波动具有有限的"熨平效应"。(2)结构调整之所以对宏观经济的"熨平"作用有限,是因为中国自1986年以来的结构调整方向有一定偏差。(3)第二产业内部的结构调整"熨平"宏观经济波动的作用较强。(4)要进一步发挥经济结构调整对宏观经济波动的"熨平效应",需要提高消费占GDP的比重,提高波动性小的第三产业中各行业占GDP的比重,同时减少波动性大的第二产业中各行业占GDP的比重,控制第二产业内部高波动性行业的发展速度或努力使其波动性下降。     

How does financial development influence the impact of remittances on growth volatility?

This paper empirically examines how financial development influences the impact of remittances on GDP growth volatility. This empirical study is conducted using the panel smooth transition regression (PSTR) approach. The results show that the impact of remittances on GDP growth volatility is nonlinear and changes over time and across countries in function of financial development. More precisely, a high level of financial development helps remittances to have a high stabilizing impact. Therefore, public authorities in remittance recipient countries might implement policies that promote the financial sector in order to allow a high stabilizing impact of remittances.