The geography of output volatility

This paper examines the structural determinants of output volatility in developing countries, and especially the roles of geography and institutions. We investigate the volatility effects of market access, climate variability, the geographic predisposition to trade, and various measures of institutional quality. We find an especially important role for market access: remote countries are more likely to have undiversified exports and to experience greater volatility in output growth. Our results are based on Bayesian methods that allow us to address formally the problem of model uncertainty and to examine robustness across a wide range of specifications.     

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.     

The link between output growth and volatility: Evidence from a GARCH model with panel data

Estimation results from a dynamic panel GARCH model for G7 countries over the 1965–2007 period support that higher output growth is associated with higher volatility of the innovations to growth, but higher growth does not lead to more economic uncertainty.     

The supply of skills in the labor force and aggregate output volatility

The cyclical volatility of US gross domestic product suddenly declined during the early 1980s and remained low for over 20 years. I develop a labor search model with worker heterogeneity and match-specific costs to show how an increase in the supply of high-skill workers can contribute to a decrease in aggregate output volatility. In the model, firms react to changes in the distribution of skills by creating jobs designed specifically for high-skill workers. The new worker–firm matches are more profitable and less likely to break apart due to productivity shocks. Aggregate output volatility falls because the labor market stabilizes on the extensive margin. In a simple calibration exercise, the labor market based mechanism generates a substantial portion of the observed changes in output volatility.     

Bayesian estimation of the output gap for a small open economy: The case of Canada

We introduce a novel approach for estimating output gaps for small open economies. Identification is based on a multivariate trend-cycle decomposition in which transitory exchange rate movements are linked to the output gap and inflation. The model is then applied to Canadian data.     

The macroeconomic effects of fiscal policy in Portugal: a Bayesian SVAR analysis

With a new quarterly dataset we estimate a Bayesian Structural Autoregression model and a Fully Simultaneous System approach to analyze the macroeconomic effects of fiscal policy. Results show that positive government spending shocks, in general, have a negative effect on real GDP; lead to “crowding-out” effects of private consumption and investment; have a persistent and positive effect on the price level and a mixed impact on the average financing cost of government debt. Explicitly considering the government debt dynamics in the model is also important. A VAR counter-factual exercise confirms that unexpected positive spending shocks create relevant “crowding-out” effects.     

Monetary policy, oil shocks, and TFP: Accounting for the decline in US volatility

An equilibrium model is used to assess the quantitative importance of monetary policy for the post-1984 decline in US inflation and output volatility. The principal finding is that monetary policy played a substantial role in reducing inflation volatility, but a small role in reducing real output volatility. The model attributes much of the decline in real output volatility to smaller TFP shocks. We also investigate the pattern of output and inflation volatility under an optimal monetary policy counterfactual. We find that real output volatility would have been somewhat lower, and inflation volatility substantially lower, had monetary policy been set optimally.     

Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration

Fiscal sustainability is a central topic for most of the transition economies of Eastern Europe. This paper focuses on a particular country: Poland. The main purpose is to investigate, empirically, whether the post-transition fiscal policy is consistent with the intertemporal budget constraint, used as a formal theoretical framework. To test debt stabilization, the empirical analysis is made in two steps: first, we use a Bayesian methodology to conduct inference about the cointegrating relationship between budget revenues and (inclusive of interest) expenditures and to select the cointegrating rank. Second, we apply Bayesian inference to the estimation of the cointegrating vector and of the adjustment parameters. With a single cointegrating relation, we make use of some known results concerning the posterior density of the cointegrating vector, which belongs to the poly-t densities class. In this way, we experiment the usefulness of Bayesian inference in precisely assessing the magnitude of the cointegrating vector. Moreover, we show to what extent the likelihood of the data is important in revising the available prior information, relying on numerical integration techniques.     

The performance of German water utilities: a (semi)-parametric analysis

Germany's water supply industry is characterized by a multitude of utilities and widely diverging prices, possibly resulting from structural differences beyond the control of firms’ management, but also from inefficiencies. In this article, we use Data Envelopment Analysis and Stochastic Frontier Analysis to determine the utilities’ Technical Efficiency (TE) scores based on cross-sectional data from 373 public and private water utilities in 2006. We find large differences in TE scores even after accounting for significant structural variables like network density, share of groundwater usage and water losses.     

A Bayesian approach to model changes in volatility in the Mexican stock exchange index

We model the changes in volatility in the Mexican Stock Exchange Index using a Bayesian approach. We study the time series with a wide set of models characterized by a Markov switching heterogeneity. The advantage of this approach is that it allows for a broader spectrum of possible models since the estimation of the moments of the parameters is done using the finite mixture distribution MCMC method, without relying on assumptions about large sampling and mathematical optimization. This is particularly relevant for emerging markets’ financial data because of its special characteristics, like being more susceptible to jumps and changes in volatility caused by exchange rate swings, financial crises and oil and commodity prices. For model comparison, we use the marginal likelihood approach and the bridge sampling technique. The best representation of the data is given by a switching model with three states rather than any other autoregressive linear or non-linear model. The periods of volatility found by the model coincide with different financial crisis. Whereas other studies of volatility for the same market impose the Markovian model that captures changes in volatility, we let our model to be defined in an endogenous way.     

Monetary shocks,equity returns and volatility: a firm-level panel data analysis

This article studies the impact of monetary policy shocks on equity returns and their volatility among nine industries and their affiliated firms in the United States. We use an extension of the traditional CAPM as the analytical framework and approximate policy shocks with the unexpected component of the federal funds rate. Data on the characteristics of firms and industries are obtained from Compustat and the Center for Research in Security Prices, covering a sample period from 1987 to 2009. Our results clearly show that responses to policy shocks vary by industry and across firms. Furthermore, credit availability matters in certain industries, and small, financially constrained, and bank-dependent firms are found to be more vulnerable to unexpected federal funds rate shocks.     

Measuring asymmetry and persistence in conditional volatility in real output: evidence from three East Asian tigers using a multivariate GARCH approach

We search for evidence of conditional volatility in the quarterly real Gross Domestic Product (GDP) growth rates of three East Asian tigers: Singapore, Hong Kong and Taiwan. The widely accepted Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH)-type model is used to capture the existence of asymmetric volatility and the potential structural break points in the volatility. We find evidence of asymmetry and persistence in the volatility of GDP growth rates. It is noted that the structural breakpoints of volatility correspond reasonably well to the historical economic and political events in these economies. Policy implications from our findings are discussed.     

The impact of institutional volatility on financial volatility in transition economies

What have been the determinants of financial volatility in the transition countries of Central and Eastern Europe and the former Soviet Union? This paper posits that institutional changes, and in particular the volatility of crucial institutions such as property rights, have been the major causes of financial volatility in transition. Building a unique monthly database of 20 transition economies from 1991 to 2017, this paper applies the GARCH family of models to examine financial volatility as a function of institutional volatility. The results show that more advanced institutions help to dampen financial sector volatility, while institutional volatility feeds through directly to financial sector volatility in transition. Democratic changes in particular engender much higher levels of volatility, while property rights are sensitive to the metric used for their measurement.     

The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis

Despite measures on the European level to increase the compatibility between the higher education sectors, the recent literature exposes variations in their efficiencies. To gain insights into these differences, we split the efficiency term according to the two management levels each university is confronted with. We separate short-term and long-term efficiency while controlling for unobserved institution-specific heterogeneity. We argue that the first term reflects the efficiency of the individual universities working within the country, while the second term echoes the influence of the overall country-specific higher education structure. The cross-country comparison displays whether efficiency differences between countries are related to the individual performance of their universities or their higher education structure. This allows more purposeful policy recommendations and expands the literature regarding the efficiency of universities in a fundamental way. Choosing Italy and Germany as two important illustrative examples, we show that the Italian higher education sector exhibits a higher overall efficiency value. With the individual universities working at the upper bound of efficiency in both countries, the remaining inefficiency and the gap between the countries are caused by persistent, structural inefficiency. Future measures should hence aim at the country-specific structure and not solely at the activities of single universities.     

Sources of German unemployment: a structural vector error correction analysis

In this paper we analyze the sources of German unemployment within a structural vector error correction model (SVECM) framework. For this purpose we estimate a VECM model using data for unified Germany. The cointegration analysis reveals a long-run relationship between real wages, productivity and unemployment which is interpreted as a wage setting relation. Based on a reduced form subset VECM we identify structural shocks and assess their importance for unemployment by impulse response analysis, forecast error variance and historical decompositions. In contrast to previous studies for West Germany, we find that productivity, labor supply and labor demand shocks are important sources of unemployment in the long-run.

Robust Bayesian analysis of a parameter change in linear regression

Robust Bayesian analyses in a conjugate normal framework have been developed by Learner (1978) and Polasek and Pötzelberger (1987). Fixing the prior mean and varying the prior covariance Matrix yields a so-called feasible ellipsoid for the posterior mean and robust HPD regions, also called HiFi-regions. This paper considers the application of this approach to gain robust Bayesian inference in case of a parameter change in regression models.     

German Monetary Union: An historical counterfactual analysis

This paper views German Monetary Union as a sequence of large asymmetric shocks to the European economies. As such it can be analysed with a large, new-Keynesian macro-econometric model of the relevant economies such as NiGEM. The ‘news’ in the sequence of shocks is assessed by analysing contemporary, NiGEM based, forecasts, and important events are then ‘peeled-off’ in reverse order. The resulting counterfactual history analyses the effects of the collapse of the Soviet economy on the EC and Scandinavian economies, and it is argued that the recession in countries such as Finland was not primarily caused by trade effects. The costs of support programmes for East Germany are then removed, creating a negative fiscal shock. Finally the paper analyses the overall effects of the set of shocks. In each part of the counterfactual history, individuals from forward looking expectations and the authorities operate fiscal solvency rules and target monetary aggregates.     

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.