Economic uncertainty and corruption: evidence from a large cross-country data set

A vast amount of research has considered numerous causes and correlates of corruption. Also, there have been many studies of the consequences of various forms of uncertainty. However, exploration of the nexus between economic uncertainty and corruption appears scarce. After providing an intuitive and heuristic linkage between general economic uncertainty and corruption, this article uses a large cross-country data set to augment a fairly standard model with simple proxies for uncertainty and to investigate how economic uncertainty might affect the prevalence of corruption. In addition, a quantile-regression framework is used to judge how the strength of various covariates may differ with the level of corruption. Seven main points emerge from the estimates. First, economic uncertainty is associated positively with corruption, and the relation seems to be robust across measures of uncertainty and corruption. Second, quantile-regression estimates indicate considerable parametric heterogeneity across the distribution of corruption. Third, Gross Domestic Product (GDP) per capita has the expected corruption-mitigating role. Fourth, increased political rights and civil liberties also appear to lower corruption. Fifth, greater government consumption is associated with lower corruption. Sixth, while the hyperinflation dummy lacks significance in most OLS regressions, its significance varies across the distribution of corruption. Seventh, neither police force nor government subsidies shows significance, but transition economies have more corruption.     

The puzzle on the causality of the productivity and employment growth: evidence from firm-level data

This article analyses the causality between the firm’s employment and productivity growth based on the population of manufacturing firms registered in Slovenia in the 1994–2003 period. By using the system GMM estimator, we show that the employment–productivity growth trade-off does not exist. Moreover, we find significant complementarities between employment and productivity growth, mostly driven by SMEs and firms from high-tech industries. Accordingly, we argue that the job-creation policy and productivity-promoting policy are complementary rather than trade-offs and that policymakers should focus on the optimal policy mix that provides the highest aggregate effect with regard to all growth aspects. Further, significant differences among the factors of employment and productivity growth suggest that job-creation policy measures are most successful when targeted at younger export-oriented firms with high total factor productivity levels and capital-intensive production. Meanwhile, the outcome of policy measures aimed at promoting productivity increases with a firm’s capital intensity and size up to the threshold employment level and with the intensity of market competition.     

Foreign investments in real estate,economic growth and property prices: evidence from OECD countries

The last two decades have witnessed a growth in foreign direct investments (FDI) in the real estate sector in most of the Organization for Economic Co-Operation and Development (OECD) countries. It is argued that FDI in the real estate sector may improve economic growth in recipient economies. On the other hand, property prices have increased considerably in OECD countries in recent years and some argue that FDI in real estate is one of the driving forces of high property prices in these countries. The purpose of this study is to analyze the interrelationship between FDI in the real estate sector, economic growth, and property prices while controlling for interest rate and inflation. We use observations from a set of OECD countries for the period between 1995 and 2008. The dynamic interrelationship is analyzed by applying a panel cointegration technique. Our empirical results show that FDI in real estate do not cause property price appreciations and also do not contribute to economic growth in OECD countries in the short run and the long run.     

Economic policy uncertainty and real output: evidence from the G7 countries

We use economic policy uncertainty index, and impulse response based test to assess the impact of economic policy-related uncertainty on real economic activity. We use monthly data, over the period from 1985:1 to 2015:3, and impulse response functions to investigate how the economies of the G7 countries respond to positive and negative economic policy uncertainty shocks of different magnitudes. We find that economic policy uncertainty is countercyclical, that the effects of uncertainty shocks increase with size and that the responses of real output to positive and negative economic policy uncertainty shocks are country specific. Our research is important for policymaking and in favour of policies that remove economic uncertainty and its negative effects on the economy. We argue that some control over yellow journalism, a transparent tax system and a set of predictable fiscal and monetary policies can minimize the social costs of economic policy uncertainty.     

Long memory,economic policy uncertainty and forecasting US inflation: a Bayesian VARFIMA approach

We compare inflation forecasts of a vector autoregressive fractionally integrated moving average (VARFIMA) model against standard forecasting models. U.S. inflation forecasts improve when controlling for persistence and economic policy uncertainty (EPU). Importantly, the VARFIMA model, comprising of inflation and EPU, outperforms commonly used inflation forecast models.     

Cyclicality of commodity markets with respect to the U.S. economic policy uncertainty based on granger causality in quantiles

Given the importance of the U.S. in global commodity markets, the goal is to explore whether U.S. economic policy uncertainty impacts the price performance of certain commodities. The analysis uses the Granger causality in quantiles method that allows us to test whether there are different effects under different market conditions. The results document that economic uncertainty impacts the returns on the commodities considered, with the effects clustering around the tail of their conditional distribution. Robust evidence was obtained under alternative definitions of uncertainty.     

Economic policy uncertainty and the Chinese stock market volatility: new evidence

This study investigates the impacts of the economic policy uncertainty (EPU) indexes of China and the G7 countries on Chinese stock market volatility and further constructs a new diffusion index based on these indexes using principal component analysis (PCA) to achieve enhanced predictive ability. The in-sample results indicate that the EPU indexes of China and some of the G7 countries show a significantly negative impact on future volatility. Moreover, our constructed diffusion index also has a significantly negative impact. Furthermore, the out-of-sample results show that this diffusion index exhibits a significantly higher forecast accuracy than the EPU itself and combination forecasts. Finally, various robustness checks are consistent with our main conclusions. Overall, we construct a new and useful indicator that can substantially increase forecast accuracy with respect to the Chinese stock market.     

Real-time uncertainty in budget planning: evidence from euro area countries1

Using rich panel data including potential output for euro area countries, we analyse budget balance forecasts and their errors. We find that budget balance forecasts are systematically biased and subject to mean reversion (tendency towards more balanced budgets). A robust result is that errors in budget balance nowcasts contribute to errors in budget balance forecasts. In addition, we find that nowcasted macroeconomic conditions can affect over-optimism in budget balance forecasts. Overall, our results emphasize the central role of nowcasting in the EU fiscal framework.     

Macroeconomic policy uncertainty shocks on the Chinese economy: a GVAR analysis

This article studies the spillovers of economic policy uncertainty (EPU) from developed economies to China in terms of the source, extent and persistence by estimating a global vector autoregressive (GVAR) model with both financial and trade variables acting as the transmission channels. Our findings confirm the existence of international transmissions of policy uncertainty, while the patterns differ markedly. The US EPU appears to be the most significant cause of the fall of export, industrial production, equity price and exchange rate, meanwhile, the EU EPU is also to be blamed for the depreciation of RMB. In contrast to industrial production, which shows the largest negative impact, Chinese inflation increases to a relatively smaller extent with the EPU shocks ranking as the US, Japanese and the EU. Regardless of the minor impact on a long-term interest rate, the short-term interest rate in China reacts positively to the European and US EPU shocks. Despite the independent national monetary policies, EPUs from the EU, Japan and the UK can decrease the Chinese monetary aggregate. In summary, the Chinese economy responds the most to the US EPU, especially to its inflation expectation disagreement component, whereas it responds the least to the UK EPU.     

The spillover effect of the US uncertainty on emerging economies: a panel VAR approach

The article quantifies the spillover effects of the United States’ (US) uncertainty shocks on emerging economies, using a panel VAR model. We find that the US uncertainty shocks are the risks, and hence drop the capital inflow, investment, consumption, export and output of emerging economies. This also induces a depreciation of emerging market currencies. As a result, our model predicts a fall in short-term interest rate of emerging economies to react against the US uncertainty shocks. Our findings partly help explain the slow recovery of the world economy after the 2008–2009 global financial crisis.     

Macroeconomic uncertainty,growth and inflation in the Eurozone: a causal approach

In this article, we evaluate the causal relationship between macroeconomic uncertainty indices, inflation and growth rate for 17 Eurozone countries on a county-level examination. In performing a series of linear and nonlinear causality tests, we find little evidence of a causal relationship between uncertainty and macroeconomic variables. Thus, macroeconomic analysis based on uncertainty indices should be treated with caution.     

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.     

The effects of economic policy uncertainty on China’s economy: evidence from time-varying parameter FAVAR

ABSTRACT

This article explores the effects of China’s economic policy uncertainty (EPU) on its fiscal policy, monetary policy and a wide range of macro-economic variables using a time-varying parameter FAVAR model. Based on monthly data from 07/2003 to 08/2017, the time-varying structure of the model allows us to capture the time-varying characteristics of the macro-economic variables and which channel is relevant. Empirical results reveal that the reaction of monetary and fiscal policies to EPU is highly asymmetric across macro-economic circumstances. Loose monetary and fiscal policies are adopted in response to EPU shocks during the financial crisis, while policies are moderately tightened after the crisis. The China Interbank Offered Rate (Chibor) responds more sensitively and severely than M2 to EPU shocks. Additionally, EPU shocks have a significant and negative impact on economic growth, consumption, exchange rates, bonds and the stock market, but showing a positive impact on credit, real estate and fixed asset investment (which might be due to China’s special economic market environment and the high investment return). The results indicate that EPU shocks significantly affect macroeconomic fundamentals through precautionary savings and financial market channels but lose their effectiveness through a ‘real options’ effect.     

Politically connected managers,government ownership and corporate socially responsible investments: evidence from China

We investigated the effects of politically connected managers on the corporate socially responsible investments of firms with different types of ownership. The results show that SOEs with politically connected managers are more likely to invest in corporate socially responsible investments compared to SOEs without such managers. However, private firms with politically connected managers are less likely to invest in corporate socially responsible investments than private firms without such managers.     

Estimating the link between trade uncertainty,pandemic uncertainty and food price stability in Togo: New evidence for an asymmetric analysis

Globally, the outbreak of COVID-19 and the associated containment measures adopted by governments are causing disruptions that sow uncertainty in several sectors of the economy. In this study, we explore the asymmetric impact of pandemic uncertainty and global trade policy on food prices in Togo. The study uses a nonlinear autoregressive distributive lag (NARDL) framework and causality tests for the period 2000 M1–2021 M5. The results show that the different types of uncertainty affect food price stability in the short and long run, but the shock is more pronounced in the case of pandemic uncertainty, as they are sudden and disrupt food price stability. The main findings remain significant when we use various alternative methods and estimation techniques. However, our results suggest that the Togolese food market is facing pandemic uncertainty and trade policy, which should lead policymakers and stakeholders to take corrective measures to control losses.     

Dynamic linkages between Asian stock prices and exchange rates: new evidence from causality in quantiles

This article applies the Granger causality test in quantiles to investigate causal relations between stock returns and exchange rate changes for nine Asian markets over the period 1 January 1997 to 16 August 2010. Our empirical results indicate that the quantile causal relations vary across different quantiles and different periods. Although the causal effects of exchange rate changes on stock returns (or stock returns on exchange rate changes) are heterogeneous across quantiles, the overall evidence suggests that most stock and foreign exchange markets are negatively correlated. The result shows that there are more bidirectional causal relations in accordance with this method than the conventional least square (LS) estimation. The symmetry of these quantile causal effects (the ‘averaging effect’) helps to explain why conventional LS method usually obtains an insignificant result of causality.     

Policy uncertainty and international financial markets: the case of Brexit

ABSTRACT

This study assesses the impact of the Brexit probability on both the UK and on international financial markets, for the first and the second statistical moments. As financial markets are by nature highly interlinked, one might expect that the uncertainty engendered by Brexit also has an impact on financial markets in several other countries. We first estimate the time-varying interactions between UK policy uncertainty, which to a large extent is attributed to uncertainty about Brexit and UK financial market volatilities. Second, we use two other measures of the perceived probability of Brexit before the referendum, namely daily data released by Betfair and results of polls published by Bloomberg. Based on these data sets, and using both panel and single-country SUR estimation methods, we analyse the Brexit effect on levels of stock returns, sovereign CDS, 10-year interest rates in 19 predominantly European countries, and those of the British pound and the euro. We show that Brexit-induced policy uncertainty will continue to cause instability in key financial markets and has the potential to damage the real economy in both the UK and other European countries. The main losers outside the UK are the ‘GIIPS’ economies: Greece, Ireland, Italy, Portugal and Spain.     

Effects of policy instruments on farm investments and production decisions in the Spanish COP sector

Our article assesses the impacts regarding on-farm investment and production decisions resulting from the Partially Decoupled (PD) payment scheme implemented during the 1990s and first half of the 2000s within the framework of the Common Agricultural Policy (CAP). The Spanish Cereal, Oilseed and Protein (COP) sector is taken as a case study regarding this effect due to its economic and political relevance in Spain. The empirical analysis is applied to farm-level data from 2000 to 2004 using the Farm Accountancy Data Network (FADN). We use a reduced-form application of the dual model of investment under uncertainty and estimate a system of censored and uncensored equations. PD payments are found to increase short-run production and generate a statically significant increase in the investment in farm assets. Results also show the importance of assessing the effects of PD payments in a dynamic framework as applied in this article.     

Uncertainty and the macroeconomy: evidence from an uncertainty composite indicator

This article proposes a uncertainty composite indicator (UCI) based on three distinct sources of uncertainty (namely financial, political, and macroeconomic) for the US economy on the period 1985–2015. For that, we use a dynamic factor model, summarizing efficiently six individual uncertainty proxies, namely two macroeconomic and financial uncertainty factors based on the unpredictability, a measure of (micro)economic uncertainty, the implied volatility index, the corporate bond spreads, and an index of economic policy uncertainty. We then compare the effects of uncertainty on economic activity when the UCI is used instead of individual uncertainty proxies in structural VAR models. The interest of our UCI is to synthesize theses effects within one measure of uncertainty. Overall, the UCI was able to account for the most important dynamics of uncertainty which play an important role in business cycles.