Forecasting recessions using financial variables: the French case

In this article, we focus on the ability of two financial variables—the yield curve spread and the euro–US dollar exchange rate—to predict French recessions over the period 1979–2010. First, we propose a turning point chronology for the French business cycle based on a classical conception of economic cycles and a non-parametric dating algorithm applied to the real GDP series. Second, static and dynamic probit models are developed and estimated to produce the recession probabilities. In-sample results show that the dynamic specification performs better than the static one and, above all, that the exchange rate has a stronger predictive power than the yield curve. Out-of-sample results finally confirm the predominant role assigned to the exchange rate in predicting the latest recession occurred in 2008.     

The central bank as shaper and observer of events: The case of the yield spread

The yield spread has commonly been employed as a successful predictor of economic growth and recessions, although its marginal predictive power has decreased since the 1990s. Notably, the yield spread's declining power to predict US economic activity coincided with its growing power to predict US interest rate changes. In my view, these phenomena are inevitably linked and share one cause. The central bank intended to enhance both its transparency and credibility through greater information disclosure; this disclosure improved interest rate predictability but might also have crowded out useful private information formerly in the yield spread that helped predict economic activity.     

The predictive ability of a risk-adjusted yield spread for economic activity in Europe

This paper examines whether the pricing of risk is important for macroeconomic activity at the country level. We design a risk-adjusted yield spread and test its predictive content for economic activity on the periphery and the centre of Europe over the 1990–2012 period. This risk-adjusted bond yield spread is defined in a cross-country context and referred to as the GZ-type spread. Increases in the yield on corporate bonds issued in the countries on the periphery relative to the riskless yield (calculated using German zero-coupon term structure data) reflect increases in the risk premium that the financial market imposes on borrowers. The risk premium rises in all countries during European-wide recessions of the recent past, particularly those associated with the Global Financial and the Sovereign Debt Crisis. Our findings indicate further that this GZ-type spread acts as a reliable signal for imminent and near-term economic activity in countries where financial markets were shaken to their foundations during the Crisis period. For Germany, the GZ-spread has predictive content for industrial production but not for the unemployment rate. For GDP its predictive ability is confined to the EMU period.     

ASSESSING THE IMPACTS OF LABOR MARKET AND DETERRENCE VARIABLES ON CRIME RATES IN MEXICO

Many studies examine the relationship between crime rates and various economic and/or sociodemographic variables in high income countries, but similar efforts for middle and low income countries are less common. Utilizing an 8‐year panel data sample for all 32 states in Mexico, this study assesses the impact of Mexican labor market and deterrence variables on various Mexican crime rates. The principal results indicate that: (1) State gross domestic product (GDP) per capita has ambiguous effect on crime rates under different conditions. Both wages and unemployment rates are negatively linked with crime rates. (2) Although the Mexican judicial and public security systems are widely believed to be ineffective, increased federal police forces and incarceration rates are associated with lower crime rates, but higher public security expenditure per capita is associated with higher crime rates. (3) The impacts from labor market and deterrence variables presented in (1) and (2) continue to hold under the Fox administration as well as for non‐border states. Their respective impacts diminish, however, under the Calderon administration as well as for border states because of the small number of observations. Overall, the results indicate that increasing average wages, federal police forces, and incarceration rates would have significant impacts on reducing crime rates in Mexican states. (JEL O54, K42)     

The dynamics of parallel economies. Measuring the informal sector in Mexico

The existence of parallel economies that operate in the shadows of informality within most Latin American countries is widely recognized by the economic literature. However, its composition, size and effects on economic growth are still open questions. In this paper, we estimate the size and the evolution of the Mexican informal economy in the last three decades using a vector error correction model. In addition to the standard explanatory variables traditionally used in the currency demand approach, we include remittances given their relevance in the Mexican economic system. The results indicate that informality prior to the late 1980s accounted for at least two thirds of GDP, while stabilizing around one third of GDP in the last decade. Furthermore, our estimates provide evidence of a positive long-run relationship between informality and economic growth.     

The exploration of economic crises: parameter uncertainty and predictive ability

Over a long horizon, this paper examines joint economic crises and determines the power of 49 variables in predicting such episodes. While incorporating dynamism in the prediction, we generate the predictive power of various specifications and model the uncertainty in the parameters of interest. The results reveal that growth of real gross domestic product per capita, regulation, bank non‐performing loans, interest rate and inflation rate are the most significant variables in predicting the joint economic crises. These variables predict economic crises with about 93% accuracy and can predict joint economic crises in developing countries and recent joint crises.     

The conditional influence of term spread and pattern changes on future equity returns

We extend previous research examining the relation between interest rates and equity returns using a multivariate analysis of covariance model with a dynamic yield curve and conditioned term spread. We find yield pattern changes predict economic equity returns; that the long end-of-yield curve is a strong determinant factor; and, in contrast to previous research, we find no relation between a decrease in the short rate and equity returns. However, the conditional term spread captures a significant positive return indicating that the degree of decline in the short rate relative to the long rate is of more importance than the term spread alone.     

The Australian Term Structure as a Predictor of Real Economic Activity

This study examines the empirical relation between the yield spread of the term structure of interest rates and future economic activity in Australia. Results indicate that the term spread has significant power to predict real GDP growth but not nominal GDP growth. The term spread has more power in forecasting cumulative future growth than marginal growth in periods ahead. Around one-third of the variance of two year GDP growth can be explained by the term structure one to two quarters ahead. Explanatory power begins to decline beyond two to three years into the future whatever the combination of the long and short term yields used to measure the spread. The term spread has more explanatory power than the most widely used leading index for forecasting economic activity when forecasting cumulative GDP growth beyond two quarters.     

Economic policy uncertainty,financial markets and probability of US recessions

We use probit recession forecasting models to assess the ability of economic policy uncertainty indexes developed by Baker et al. (2013) to predict future US recessions. The model specifications include policy indexes on their own, and in combination with financial variables, such as interest rate spreads, stock returns and stock market volatility. Both in-sample and out-of-sample analysis suggests that the policy uncertainty indexes are statistically and economically significant in forecasting recessions at the horizons beyond five quarters. The index based on newspaper reports emerges as the best predictor, outperforming the term spread at the longer forecast horizons.     

Potential Contagion Effects on OECD Countries: A FAVAR Model under Bayesian Framework

This paper studies whether and how US shocks impact the OECD countries in the case of a simulated crisis. Using Bayesian estimation methods we extract constrained factors (global, country and variable type specific) from a sample of 153 economic and financial OECD variables from 1980–2008. These factors are the transmission channels through which national shocks spread to other countries, as in a pandemic. The Bayesian interpretable factors are used to estimate FAVAR models. Our main findings suggest that differences exist in the contagion effects. This implies that no generalizations can be made for OECD countries even of equal economic size and in the same geographic region. In addition, our results show that a large portion of the variance of domestic economic variables is explained by global factors; and that the interest rate shock appears to play an important role in the spillover mechanism from the United States to the rest of the world. More precisely, Australia, the United Kingdom and Scandinavian countries appear to be most sensitive to the US shocks.     

Broadband penetration and economic growth nexus: evidence from cross-country panel data

This article investigates whether there are Granger causal relationships between broadband penetration, degree of urbanization, foreign direct investment and economic growth using a panel data set covering the G-20 countries for the period 1998–2011. Using our multivariate framework, we first find that all of the variables are cointegrated. Our findings further reveal a network of causal connections between the variables including short-run bidirectional causality between broadband penetration and economic growth among the more developed countries within the G-20. On the other hand, for the developing countries within the G-20, there is evidence of unidirectional causality from economic growth to broadband penetration.     

临海工业开发区的建立和演变

临海工业开发区是本世纪 ６０—７０ 年代发达经济在政府行为引导下的主要经济景观之一。随着跨国公司行为的日益广泛,世界经济重心从核心区向边缘区转移,临海工业开发区作为区域增长模式在亚太地区得以演变发展。     

Predicting the government's decision to seek a rescheduling of external debt

Drawing on the relevant literature on the link between economic growth and external debt accumulation of less developed countries (LDCs), this study seeks to identify the variables leading countries to experience debt servicing difficulties. Discriminant analysis was used to distinguish between the rescheduling and non-rescheduling countries. The available data are the values of finanical ratios for 75 LDCs in 1988. The common log and sin transformation were applied to the ratios, resulting in variables that satisfied the discriminant function model. Ten variables represcenting debt burden, foreign exchange position and domestic economy situation were found significant in exploring the rescheduling decision. The model can be useful for both the financial institutions and the borrowing countries.     

Do Financial and Institutional Variables Enhance the Impact of Remittances on Economic Growth in Latin America and the Caribbean? A Panel Cointegration Analysis

Using recently developed panel unit root and panel cointegration tests and the Fully-Modified OLS methodology (FMOLS), this paper estimates the impact of remittances on the economic growth of selected upper and lower income Latin American & Caribbean (LAC) countries over the 1990–2007 period. Despite the large flow of remittances to the region, there have been relatively few empirical studies assessing the impact of remittances on economic growth in LAC. Panel unit root tests suggest that several of the macro variables included in the model exhibit unit roots, yet, at the same time, Pedroni’s panel cointegration test determined that there is a cointegrating relationship among the variables in the estimated model. The FMOLS estimates suggest that remittances have a positive and significant effect on economic growth in both groups of countries. The estimates also indicate that both the degree of economic freedom and credit provided by the banking system have a positive and significant effect on economic growth in upper (middle) income LAC countries. The sign of the interaction term between remittances and the credit (and EFI) variables suggest that remittances act as substitutes for these variables. Finally, the effect of remittances on both sets of countries is stronger in the presence of a financial (credit) variable.     

Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence

This paper deals with transition mechanisms through which financial market conditions affect real economic growth in the Euro area. The informational content of financial variables for predicting real economic growth is assessed, allowing for asymmetric responses to shocks. A nonlinear framework is developed based on a smooth transition model for which the effects of shocks can vary across business cycles when financial indicators modify both the endogenous and state variables. Global financial variables are shown to significantly affect real growth in the Euro area, particularly during periods of recession. Changes in stock market index and yield slope have asymmetric effects on real growth. In recessionary periods, the slope of the US yield curve does not have a significant impact on growth in the Euro area.     

Socio-economic and environmental factors in the global spread of COVID-19 outbreak

COVID-19 is a virus with a very fast spread rate in the world. Therefore, knowledge of factors that may explain such spread is paramount. The main objective of this research was to analyze the determinants of the virus spread worldwide. Unlike previous studies that were limited to traditional factors, this research extends the analysis to government measures (quarantine, containment, and response budget) against the spread of the virus. Thus, an econometric model relating the variable of interest to a number of variables was carried out using the Ordinary Least Squares (OLS) and the Two Steps Least Squares (2SLS) methods on a sample of 163 countries. The main findings indicate that economic factors such as the level of development, the degree of trade openness and the response budget to the COVID-19 pandemic, have a positive effect on the spread of the virus. With regard to social factors, the population density and confinement are major causes of the spread of the virus. Finally, temperature contributes to reduce the spread of the virus. These findings are robust to the estimation technique and to the measurement of the spread of the virus considered. In the light to these findings, implications for economic policies have been drawn.     

The Determinants of Governance: A Cross-Country Analysis

Drawing on insights from economic, political, and cultural theories of governance, this article investigates the determinants of governance for a large sample of countries, both developed and developing. The results indicate that countries with a history of Western European influence and with British common law origins have better governance. In addition to these exogenous and historically predetermined variables, economic factors such as openness to trade, resource-intensity in exports, and levels of economic development have a significant impact on governance. (JEL D73 , H11 , K42 )     

Economic development and inflation: a theoretical and empirical analysis

This paper studies the relation between inflation and economic development. The literature is largely silent regarding both the theoretical and empirical perspectives that undeveloped countries endure higher average inflation than developed economies. We present a simple theoretical model linking the inflation phenomenon to the tradition of development economics. Empirical evidence is garnered to test the hypothesis that economic development engenders a downward bias to inflation rates. Through the feasible-GLS estimator in a panel of 65 countries from 2001 to 2011, we aim at listing a number of variables most commonly used to explain differences in the stage of economic development across countries and identifying the most statistically relevant ones to account for differences in inflationary patterns. While our results show that inflation is inversely correlated with the level of the technological content of the economy (measured by share of high-tech exports), human capital and cyclical unemployment, it is directly related to the degree of inflation persistence and terms of trade growth. However, our findings still present an inverse and low correlation between inflation persistence and economic development, implying that development-sensitive variables allowed into the model can only partially account for the differences in inflation at different levels of economic development.     

Searching for empirical linkages between demographic structure and economic growth

Demographic structure could affect economic growth through many channels. However, little is known about how demographic structure affects economic growth since no study has examined an extensive collection of channels through which demographic structure could affect economic growth in a single context. This paper overcomes this limitation by examining 45 potential mediating variables between demographic structure and economic growth. A causal search algorithm is used to identify channels through which demographic structure affects economic growth. Our results suggest that demographic structure affects economic growth differently between developed and developing countries. For developed countries, we find that an increase in the share of middle-aged workers has a positive effect on economic growth through institutions, investment and education channels. On the other hand, an increase in the share of the senior population has a negative effect on economic growth through institutions and investment channels. For developing countries, we find (but with weak evidence) that an increase in the share of young workers has a negative effect on economic growth through investment, financial market development and trade channels.     

FDI inflows,economic growth,and governance quality trilogy in developing countries: A panel VAR analysis

This study provides evidence of the triangular relationship between governance quality, foreign direct investment, and economic growth. Unlike previous studies in the governance—foreign direct investment—growth literature, this study employed the panel vector autoregressive model to examine the impact of governance quality and foreign direct investment on economic growth. Moreover, we used the impulse response function tool, which was developed in the same context, to better understand the reaction of the two main variables of interest, foreign direct investment, and economic growth, after shocks to the governance quality variable. Finally, the analysis was completed by the variance decomposition of all variables. These analyses were conducted for 102 developing countries from 1996 to 2014. Overall, the results show that inward foreign direct investment has a significant impact and can strongly encourage economic growth. These results indicate that the quality of governance in developing countries does not affect foreign direct investment and economic growth.