International financial remoteness and macroeconomic volatility

This paper shows that proximity to major international financial centers seems to reduce business cycle volatility. In particular, we show that countries that are farther from major locations of international financial activity systematically experience more volatile growth rates in both output and consumption, even after accounting for political institutions, trade, and other controls. Our results are relatively robust in the sense that more financially remote countries are more volatile, though the results are not always statistically significant. The comparative strength of this finding is in contrast to the more ambiguous evidence found in the literature.     

Financial frictions and changing macroeconomic volatility

This paper studies the impact of changing financial frictions on the Great Moderation using an estimated, nonlinear New Keynesian model. The model features financial frictions, parameter drift, and stochastic volatility. The estimation results show that financial frictions fell during the 1980s and remained low throughout the Great Moderation. Based on counterfactual studies, the reduction in financial frictions was an important reason for the reduction in volatility observed during the Great Moderation. The results show little role for changing monetary policy or reduced shock volatility, two common explanations, in causing the Great Moderation.     

Interest rate volatility and macroeconomic dynamics: Heterogeneity matters

We examine the relation between real interest rate volatility and aggregate fluctuations for a diverse sample of countries. Compiling a new dataset including emerging and advanced countries, the substantial variation in our data yields novel results: (a) stochastic volatility outperforms Markov‐switching in representing interest rates, (b) some advanced economies can be more volatile than emerging markets, and (c) creditors take on more debt following volatility shocks. We show how an equilibrium business cycle model with uncertainty shocks can generate these facts. Sample heterogeneity produces significant parameter differences, playing an important role in distinguishing the effects of volatility shocks.     

Mandatory spending,political polarization,and macroeconomic volatility

This paper studies the impact of political polarization on macroeconomic volatility in a political economy model of optimal fiscal policy. I introduce the distinction between mandatory and discretionary public spending in a model where consumers disagree on the size of the public sector. In the presence of political turnover and political polarization, public policies that affect individual decision-making lead to macroeconomic volatility. I show that the legislative requirements behind the changes in mandatory public spending can reduce macroeconomic volatility caused by political polarization and political turnover. The numerical simulations of the model suggest that in the presence of a binding constraint on the changes in mandatory spending, an increase in the political polarization is associated with an increase in the share of mandatory spending and a decrease in the macroeconomic volatility, consistent with the U.S. data.     

Foreign currency debt, risk premia and macroeconomic volatility

This paper studies the relationships between foreign currency debt, macroeconomic volatility, and risk premia in a model of a small open emerging market economy. The external value of the local currency is counter-cyclical, so that foreign currency debt requires larger repayments than local currency debt in bad states of nature. The level of foreign currency-denominated debts, therefore, affects the volatility of aggregate demand and by extension of the exchange rate. Exchange rate volatility is in turn an important determinant of the risk premium on local currency debt. Finally, this risk premium is a major factor in the choice of local versus foreign currency for emerging market borrowers. The mutual endogeneity of foreign currency debt, risk premia, and macroeconomic volatility creates important feedback effects in the economy: small increases in international risk aversion may entail large amplification effects on macroeconomic volatility since domestic borrowers substitute towards cheaper but riskier foreign currency debt finance.     

The link between institutions, technical change and macroeconomic volatility

This paper evaluates the role of technical change as a mediating channel through which the effects of institutions trickle down to affect growth volatility. Using different samples, estimation procedures and indicators of institutions and technical change, the results show that technical change is an important stabilizing force of growth volatility and that at least part of the stabilizing force of technical change originates from strong institutions. This conclusion does not appear to be generated by weak data, simultaneity bias or measurement errors and is remarkably robust to a large number of alternative specifications.     

Wealth inequality, preference heterogeneity and macroeconomic volatility in two-sector economies

We explore the link between wealth inequality, preference heterogeneity and macroeconomic volatility in a two-sector neoclassical growth model. First we prove that, if agents have homogeneous preferences, when the absolute risk tolerance is a strictly convex (concave) function, sufficiently high (low) levels of wealth inequality may lead to endogenous fluctuations in the neighborhood of the steady state. Second, we consider the effects of preference heterogeneity when agents are homogeneous with respect to their wealth. We show that when the utility function belongs to the HARA class, sufficiently high levels of preference heterogeneity may lead to endogenous fluctuations in the neighborhood of the steady state if the elasticity of intertemporal substitution in consumption is greater than one.     

Interest-rate volatility and volatility spillovers in emerging Europe

While many transition economies – particularly those that hope to join the Euro – have seen their economies converge to Europe’s, this process is by no means complete. Considerable macroeconomic volatility persists. This study examines the variability of the short-term nominal interest rates of ten transition economies, finding that eight of them exhibit time-varying volatility that can be modeled as a GARCH or Exponential GARCH process. Incorporating various measures of external volatility into the models, we find that those economies with fixed or managed exchange rates tend to experience more volatility spillovers, particularly from the Eurozone, regardless of the degree of transition. Only Estonia has a fixed exchange rate and remains free of international contagion.     

Share contracts and macroeconomic externalities

Weitzman's analysis of the share economy contrasts fixed-wage and fixed-share contracts; this paper notes that neither is an optimal labor contract, rendering the comparison suspect. Given this comparison, though, share contracts may be superior to wage contracts in an economy characterized by a “macroeconomic externality,” whereby firm-level employment decisions affect the demand for other firms' goods.     

Microeconomic uncertainty and macroeconomic indeterminacy

We propose a stylized intertemporal macroeconomic model wherein the combination of decentralized trading and microeconomic uncertainty (taking the form of privately observed and uninsured idiosyncratic shocks) creates an information problem between agents and generates indeterminacy of the macroeconomic equilibrium. For a given value of the economic fundamentals, the economy admits a continuum of equilibria that can be indexed by the sales expectations of firms at the time of investment. The Walrasian equilibrium is one of these possible equilibria but it is reached only if firms are optimistic enough. With a weaker degree of optimism, equilibrium output, employment and real wages will be lower than in the Walrasian equilibrium. Moreover, the range of possible equilibria will depend positively on the wage elasticity of the labour supply and on the magnitude of the information problem between buyers and sellers (in our case, the variance of the idiosyncratic shocks).Stochastic simulations performed on a calibrated version of the model show that pure demand expectation shocks may generate business cycle statistics that are not inconsistent with the observed ones.     

Informal self-employment and macroeconomic fluctuations

Informal self-employment is a major source of employment in developing countries. Its cyclical behavior is important to our understanding of the functioning of LDC labor markets, but turns out to be surprisingly complex. We develop a flexible model with two sectors: a formal salaried (tradable) sector that may be affected by wage rigidities, and an informal (non tradable) self-employment sector faced with liquidity constraints to entry. This labor market is then embedded in a standard small economy macro model. We show that different types of shocks interact with different institutional contexts to produce distinct patterns of comovement between key variables of the model: relative salaried/self-employed incomes, relative salaried/self-employed sector sizes and the real exchange rate. Model predictions are then tested empirically for Argentina, Brazil, Colombia and Mexico. We confirm episodes where the expansion of informal self-employment is consistent with the traditional segmentation views of informality. However, we also identify episodes where informal self-employment behaves “pro-cyclically”; here, informality is driven by relative demand or productivity shocks to the non tradable sector.     

Global macroeconomic uncertainty

We empirically identify global macroeconomic uncertainty using a dynamic factor model, where the conditional variances of all factors are modeled as stochastic volatility processes. Applying this methodology to OECD data, we find the early 1970s and early 1980s recessions as well as the recent Great Recession of the late 2000s to be associated with increases in uncertainty at the global level, but heightened uncertainty during the early 1990s and 2000s slowdowns to be mostly confined to the national levels. We also find that global uncertainty unambiguously lowers national growth rates and raises national inflation rates, and that key macroeconomic variables like oil, commodity and stock prices as well as global liquidity act as drivers of the global dimension of uncertainty.     

S&P 500 volatility,volatility regimes,and economic uncertainty

We assess the relationship between regime-dependent volatility in S&P 500, economic policy uncertainty, the S&P 500 bull and bear sentiment spread (bb_sp), as well as the Chicago Board Options Exchange's VIX over the period 2000–2018. Our findings from two-covariate GARCH–MIDAS (GM) methodology, regime switching Markov Chain, and quantile regressions suggest that the association of realized volatility and sentiment varies across high- and low-volatility regimes and depends on investors’ sensitivity toward incidents of market uncertainties under these regimes. The findings suggest that these indicators may not be useful in volatility forecasting, especially under high-volatility regimes.     

Tax-related incomes policies and macroeconomic stability

Several varieties of tax-based incomes policies (TIPs) are added to a standard macroeconomic model, to test whether they act as built-in stabilizers. We conclude that employer TIPS based on price increases, and employee TIPS based on wage increases act as built-in destabilizers, and that only an employer TIP based on wage increases can avoid this problem.     

Banking in macroeconomic theory and policy

This special issue, “Banking in Macroeconomic Theory and Policy,” explores a problem that has occupied to varying degrees several recent generations of economists: identifying and integrating the appropriate role of a banking sector within a policy-relevant analytical framework of macroeconomic analysis. This introductory article tries to provide a context for the fascinating contributions to this issue. It reviews efforts to apply developments in bank modeling to augmenting macroeconomic models during the 1960s through 1980s, theoretical and empirical elements that led to diminished emphasis on incorporating banking into analytical macroeconomic frameworks between the 1990s and the 2007–2009 financial crisis, and recently renewed work to integrate banking sectors into modern macroeconomic models. The paper concludes by reviewing briefly the contributions contained in this special issue.     

Intergenerational mobility and macroeconomic history dependence

A large literature on ‘endogenous inequality’ has argued that persistent differences in macroeconomic performance across countries can be explained by historical inequality, owing to indivisibilities in occupational choice and borrowing constraints. These models are characterized by homogenous agents, a continuum of steady states (SSs) and lack of mobility in every SS. We show that introducing (even a little) heterogeneity in order to generate SS mobility shrinks the SS set dramatically. Mobile SSs are generically locally unique and finite in number. Sufficient conditions for global uniqueness and convergence of competitive equilibrium dynamics are provided.     

Policy volatility and growth

The paper aims to examine how fiscal and monetary volatility might affect the balanced economic growth rate using a standard monetary growth model characterized by nominal wage rigidity and productive public spending. The model shows that any type of shock — monetary or fiscal — can generate either a negative or positive relationship between short-run volatility and long-run growth, critically depending on the size of government and the elasticity of output with respect to labor/capital. In particular, given the labor income share, it shows that excessive government spending may cause the impact of fiscal volatility on long-run growth to turn from positive to negative. In addition, a rise in the volatility of the monetary shock is capable of generating either an increase or decrease in the mean of growth. With the range of the labor share values in reality, the model produces results consistent with the fact that the relationship between volatility and growth is generally found empirically to be more negative in developing than in developed countries. The model can be seen as a further explanation for the ambiguous empirical evidence in the existing literature.     

Forecasting stock market volatility and information content of implied volatility index

This study investigates the incremental information content of implied volatility index relative to the GARCH family models in forecasting volatility of the three Asia-Pacific stock markets, namely India, Australia and Hong Kong. To examine the in-sample information content, the conditional variance equations of GARCH family models are augmented by incorporating implied volatility index as an explanatory variable. The return-based realized variance and the range-based realized variance constructed from 5-min data are used as proxy for latent volatility. To assess the out-of-sample forecast performance, we generate one-day-ahead rolling forecasts and employ the Mincer–Zarnowitz regression and encompassing regression. We find that the inclusion of implied volatility index in the conditional variance equation of GARCH family model reduces volatility persistence and improves model fitness. The significant and positive coefficient of implied volatility index in the augmented GARCH family models suggests that it contains relevant information in describing the volatility process. The study finds that volatility index is a biased forecast but possesses relevant information in explaining future realized volatility. The results of encompassing regression suggest that implied volatility index contains additional information relevant for forecasting stock market volatility beyond the information contained in the GARCH family model forecasts.     

International comparisons of macroeconomic performance

In this article we present the results of a contingent rating study carried out on a sample of tourisits visiting Scicli, a Sicilian town known for its baroque heritage. In particular, we focus on different attributes of tourism products – namely, season, accommodation and cultural heritage – to study how much each of these attributes weights in tourists’ preferences. We also study how the socio-demographic characteristics of people affect their evaluation of the different attributes of tourism products. The heritage endowment appears to be far from being the most important factor; this result is consistent across different socio-demographic subgroups of interviewed persons.