The effect of observables,functional specifications,model features and shocks on identification in linearized DSGE models

The decisions a researcher makes at the model building stage are crucial for parameter identification. This paper contains a number of applied tips for solving identifiability problems and improving the strength of DSGE model parameter identification by fine-tuning the (1) choice of observables, (2) functional specifications, (3) model features and (4) choice of structural shocks. We offer a formal approach based on well-established diagnostics and indicators to uncover and address both theoretical (yes/no) identifiability issues and weak identification from a Bayesian perspective. The concepts are illustrated by two exemplary models that demonstrate the identification properties of different investment adjustment cost specifications and output-gap definitions. Our results provide theoretical support for the use of growth adjustment costs, investment-specific technology, and partial inflation indexation.     

Persistence and stochastic convergence of euro area unemployment rates*

This paper analyzes unemployment rates in the euro area (EA) countries to test for EA-related benefits and economic integration of the EA in the form of lower unemployment rates and unemployment rates convergence. We employ recently developed unit root tests with structural breaks and non-normal errors to analyze the persistence, test the stochastic convergence and locate structural break(s) in EA unemployment rates from 1995q1 to 2016q2. Our results imply a certain degree of unemployment hysteresis in the EA. Even though the results support the stochastic convergence of the majority of EA countries, we find that EA membership is not a sufficient condition for stochastic convergence. Nevertheless, EA-related breaks are followed by the periods of convergence to the EA11 average. Crisis-related breaks are followed by the periods of divergence. Although providing initial benefits, EA is not functioning as an optimal currency area.     

Do political factors influence banking crisis?

This paper investigates the impending political determinants of banking crisis in advanced economies. In particular, we consider the impact of domestic credit growth on the likelihood of banking crisis and analyse possible constraints on the part of the governments in curbing the unsustainable credit growth. The endogeneity corrected results reveal that the household credit growth has greater impact on the likelihood of banking crisis than the enterprise credit growth. The political channel shows that if governments are concerned about domestic approval rates, then there is a higher chance of credit boom, which in turn increases the prospect of banking crisis. Interestingly, the findings reveal that the presence of an independent and well-functioning central bank mitigates the crisis probability and reduces the opportunistic behaviour of governments.     

Price informativeness and stock return synchronicity: Evidence from the pricing of seasoned equity offerings

We investigate what stock return synchronicity reflects in terms of price informativeness by examining its effect on the pricing of seasoned equity offerings (SEOs). Based on 5,087 SEOs from 1984 to 2007, we find a significantly negative relation between stock return synchronicity (estimated as the logit transformation of the R-squared statistic from a two-factor regression) and SEO discounts (the percentage differences between pre-offer day closing prices and offer prices). The negative relation is strongest when there is no analyst coverage, and it declines as analyst coverage increases. This shows that stock price is more informative when stock return synchronicity is higher and also that information asymmetry can be mitigated by analyst coverage. We further decompose stock return synchronicity into the market comovement and industry comovement components and find that both components are equally important in affecting SEO discounts.     

Heterogeneous private sector information,central bank disclosure,and stabilization policy

Conventional wisdom has it that a central bank that uses an informational advantage to undertake active policy intervention can do as well, at least so far as real outcomes are concerned, by making its information publicly available and abstaining from stabilization. This notion is examined using a framework incorporating heterogeneous private sector information concerning aggregate demand shocks. An activist regime, in which the central bank exploits its own information to engage in stabilization, is found to be unambiguously superior to a noninterventionist regime, where the central bank maintains a constant setting of policy but publicly discloses its own information.     

Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching: Evidence from over a century of data

This paper analyses the risk spillover effect between the US stock market and the remaining G7 stock markets by measuring the conditional Value-at-Risk (CoVaR) using time-varying copula models with Markov switching and data that covers more than 100 years. The main results suggest that the dependence structure varies with time and has distinct high and low dependence regimes. Our findings verify the existence of risk spillover between the US stock market and the remaining G7 stock markets. Furthermore, the results imply the following: 1) abnormal spikes of dynamic CoVaR were induced by well-known historical economic shocks; 2) The value of upside risk spillover is significantly larger than the downside risk spillover and 3) The magnitudes of risk spillover from the remaining G7 countries to the US are significantly larger than that from the US to these countries.     

Bank ownership type and temporal evolution of long‐term bank funding in the period 2005–2017

This study uses a large panel dataset of Western European banks to examine the determinants of bank funding stability. Banks are divided into three categories by bank ownership type; the ownership types in this study are commercial banks, cooperative banks and savings banks. Three sources of stable bank funding are investigated: customer deposits, equity, and long‐term liabilities. Furthermore, the sum of these funding components is used as a proxy variable for a bank's total available stable funding (ASF). A special focus is on the temporal evolution of these funding types. The regression results show that commercial banks’ funding became much more stable in the period 2005–2017. However, that funding remains, on average, less stable than does cooperative and savings banks’ funding. In addition, funding stability has remained at the pre‐crisis level in cooperative and savings banks, despite a steep dip in cooperative banks’ ASF during the sovereign debt crisis. Furthermore, banks substantially decreased financing from long‐term liabilities after the financial crisis, replacing it with customer deposits and equity.     

Modelling distribution of aggregate expenditure on tourism

The aim of this article is to obtain a statistical distribution that describes the aggregate expenditure of tourists related to their length of stay at a given location. This distribution enables us to estimate two parameters simultaneously; one controls the length of stay and the other, the expense incurred. We propose two distribution models, for which closed-form expressions are obtained. Covariates are introduced in order to study the factors that affect the aggregate expenditure. The results obtained indicate that the models achieve a reasonably good fit, with and without covariates.     

R&D based knowledge capital and future firm growth: Evidence from China’s Growth Enterprise Market firms

Building upon a dynamic stochastic general equilibrium (DSGE) model, this paper examines the role of knowledge-based capital (KC) in improving firms’ future growth in productivity. Based on the analysis of Chinese listed firms from 2006 to 2017 in the Growth Enterprise Market (GEM), we find KC often generates endogenous movements in productivity and earnings over the business cycles, suggesting that the nature of KC is pro-cyclical. Moreover, investment in KC is often classified as a corporate expense and is thus deducted from the current year’s profits. Therefore, firms with high R&D investments have significantly higher future productivity growth but lower current profitability than do those with lower R&D investments. Given these characteristics, KC’s benefits to productivity and future earnings are thus not immediate. For faster growth in the long term, firms should continue investing in KC even if they may face a short-term fall in corporate earnings as a result of internal knowledge investment, especially for fast-growing GEM firms.     

Economic Globalization and Inflation in China: A Multivariate Approach

This paper evaluates whether globalization has increased the role of global factors in driving inflation in China. Unlike other published studies on the relationship between globalization and inflation, which mostly use Phillips curve models, this paper uses multivariate dynamic models to examine the dynamic interactions between globalization and inflation in China. Empirical results with quarterly data spanning from 1995 to 2012 show that the global output gap significantly affects the dynamics of inflation in China. In particular, the global output gap is superior to the domestic output gap in predicting domestic inflation. Impulse response and variance decomposition analyses reinforce this finding. Our results indicate that the central bank of China should take developments in global output into account in its monetary policy‐making process.