Macroeconomic shocks and fluctuations in African economies

We estimate a monetary DSGE model to examine the role of macroeconomic shocks in generating fluctuations in ten African countries. The model is estimated with the Bayesian technique using twelve macroeconomic variables. The findings indicate that both the internal and external shocks significantly influence output fluctuations in African economies. Over a four quarter horizon, internal shocks are dominant and over eight to sixteen quarter horizons, external shocks are dominant. Among the external shocks, external debt, exchange rate, foreign interest rate and commodity price shocks account for a large part of output variations in African economies. Money supply and productivity shocks are the most important internal shocks contributing to output fluctuations in African countries.     

Sectoral Shocks and Metropolitan Employment Growth

In this paper, we study the sources of industry employment growth in each of five metropolitan statistical areas (MSAs). The objective is to understand the relative importance of aggregate disturbances versus local sectoral shocks in generating observed employment fluctuations at the MSA level. The empirical evidence presented in this paper derives from structural vector autoregressions (SVARs), estimated for each of the five MSAs. Estimations use monthly employment data covering nine one-digit industrial categories for the period 1951:1–1999:8, as well as two variables that capture the influences of aggregate (i.e., national) shocks on MSAs. We find that within-MSA industry shocks explain considerably more of the forecast error variance in industry employment growth than do aggregate shocks. Sectoral shocks account for between 87 and 94% of the 36-month-ahead forecast error variance. Among individual local sectors, shocks to MSA-specific government, manufacturing, and service sector employment growth are the predominate sources of variability.     

Identifying credit demand,financial intermediation,and supply of funds shocks: A structural VAR approach

In this paper, we identify three exogenous shocks to credit market: demand for credit, supply of funds into the financial system, and the willingness to lend of financial institutions (financial intermediation), and also, determine the contribution of these shocks to fluctuations in the credit market and overall economic activity. We estimate a structural vector autoregression model where the three credit shocks are identified with a set of sign restrictions motivated by a simple partial equilibrium model of financial intermediation. We find that the credit demand shock explains significantly the variations in the long-term loan rate proxied by the Moody’s Baa corporate bond yield, while the supply of funds shock contributes to most of the fluctuations in the short-term commercial paper rate. The financial intermediation shock drives most of the fluctuations in the quantity of loans as well as the spread between the Baa and commercial paper rates. Of the credit shocks, we find that the financial intermediation shock has the largest impact on real economic activity. In fact, our analysis implies that the sharp decline in output during the 2007–2009 financial crisis is largely attributable to the financial intermediation shock, along with shocks originating outside of the financial system.     

World,country, and sector factors in international business cycles

Do sector-specific factors common to all countries play an important role in explaining business cycle co-movement? We address this question by analyzing international co-movements of value added (VA) growth in a multi-sector dynamic factor model. The model contains a world factor, country-specific factors, sector-specific factors, and idiosyncratic components. We estimate the model using Bayesian methods for 30 disaggregated sectors in the G7 economies for the 1974–2004 period. Our findings show that, although there is a substantial role for sector-specific factors, fluctuations are dominated by country-factors. The world factor appears to play a minimal role because, when using aggregate data, the world factor captures both the factor common to all countries and industries and the factor common to the same industry across countries. We then examine how these factors evolved as globalization deepened over the past two decades. Our results suggest that business cycles at a disaggregate level have not become more synchronized internationally. This is mainly driven by a substantial fall in the volatility of world shocks during the globalization period, rather than a lower sensitivity of sectoral growth to world factors. Our results also reveal that world factors appear to be more important for industries with a higher level of international vertical integration.     

On firm-level,industry-level,and aggregate employment fluctuations

Employment fluctuations are examined, at different levels of aggregation, in a model with firm-specific hiring decisions due to search frictions and sticky pricing. The results indicate that firm-level employment dispersion rises with higher price stickiness and higher demand elasticity, whereas it falls with more convexity of search costs and with a higher labor supply elasticity. Industry-level employment is more volatile and less procyclical than aggregate employment, and a larger industry size reduces volatility and raises co-movement with output. The calibrated model is able to match the volatility, autocorrelation and cyclical correlation of US industry-level employment when incorporating firm-specific technology shocks.     

Imports,technology, and employment: Job creation or creative destruction

This study examines the employment impact of technology by using firm-level survey data for a large number of developing countries. We not only examine the impact of technology on overall employment but also investigate the effect on different types of employment, such as skilled, unskilled, temporary, and seasonal. Considering asymmetric distribution of employment, we utilize quantile regression for empirical analysis. Our findings unequivocally suggest that technology does not kill jobs. Further, we could not find any skill-biased impact of technology. Finally, results suggest that technology received through alternative sources works in combination, enhances absorptive capacity and promotes employment.     

Age-specific cyclical effects in job reallocation and labor mobility

We present an empirical analysis of job reallocation and labor mobility using matched worker-firm data for the Netherlands. Our data cover the period 1993–2002. We find that cyclical adjustments of the workforce occur mainly through fluctuations in worker entry for young and prime-age workers while for old workers they occur mainly through fluctuations in separations. Moreover, we find that employment dynamics of young workers are affected especially by national and sectoral employment fluctuations whereas employment of old workers varies especially with firm-specific employment changes.     

Stochastic trends and economic fluctuations in a small open economy

In this paper we describe how restricted vector autoregressions can be employed to examine the sources of macroeconomic fluctuations. We show how cointegration restrictions can be used to identify a VAR system with common stochastic trends subject to transitory and permanent changes in average growth, and how we may investigate the system's responses to permanent shocks, i.e. to innovations to the trends. Theoretical cointegration vectors are derived from a small open economy growth model for terms of trade, real GDP, real consumption, and real investments. Applying these methods to Swedish annual data (1875–1986) we find that permanent real (supply) shocks account for most of the fluctuations in GDP, even in the short run.     

Productivity effects on Mexican manufacturing employment

We examine the effects of labor productivity and total factor productivity (TFP) on employment across 25 Mexican manufacturing industries from 1984 to 2000. Employing panel data methods, several interesting findings emerge. First, we observe a strong and positive impact of NAFTA on employment. Second, productivity exerts a procyclical, positive effect on employment but this effect becomes smaller after NAFTA. Third, partitions of our sample according to capital-labor intensity suggest that industries which are less capital-intensive were affected negatively on impact by NAFTA but that productivity impacted employment positively after NAFTA. In contrast, more capital-intensive industries display these results in reverse.     

R&D and aggregate fluctuations

Empirical observations raise interesting questions regarding the sources of the excessive volatility in the R&D sector as well as the nature of the relation between the sector and aggregate fluctuations. Using US data for the period 1959–2007, we identify sectoral technology and capital investment-specific shocks by employing a Vector Autoregression. The identifying assumptions are motivated by a two-sector dynamic general equilibrium model. Controlling for real and nominal factors, we find that capital investment-specific shocks explain 70 percent of fluctuations of R&D investment, while R&D technology shocks explain 30 percent of the variation of aggregate output, net of R&D investment. Technology shocks jointly explain almost all the variation of output in the R&D sector and 78 percent of the variation of output in the rest of the economy. They also constitute the main factor of the procyclicality of R&D investment.     

The effects of dollar appreciation on sectoral labor market adjustments: Theory and evidence

We examine the extent to which exchange rate fluctuations affect sectoral employment and wages in the United States. We introduce a theoretical rational expectation model that decomposes movements in the exchange rate into anticipated and unanticipated components. The model demonstrates the effects of demand and supply channels on the response of the nominal wage and labor employment to changes in the exchange rate. The evidence indicates that the deflationary effect dominates on industrial nominal wage in manufacturing and transportation industries in the face of dollar appreciation. More importantly, there is evidence of a decrease in employment growth in several industries in response to dollar appreciation, which is statistically significant in construction and at the aggregate level. This evidence is consistent with a decrease in labor demand given the loss of competitiveness of U.S. products following dollar appreciation. There are negative effects of dollar appreciation on labor market conditions in the United States. Nonetheless, dollar appreciation is consistent with an increase in employment growth in the mining sector where the share of imports is the largest among U.S. industries.     

Subjective well-being among blue-collar immigrant employees: A systematic literature review

We present a systematic review of 67 empirical studies that examine the factors determining subjective well-being among blue-collar immigrant employees. Drawing on conservation of resources theory, we propose an integrated conceptual framework that organizes antecedents of blue-collar immigrants' subjective well-being based on resource loss and gain dynamics. Our findings indicate that resource loss was most likely when immigrants experienced precarious employment, physically and emotionally demanding jobs, injustice at work, poor living conditions, and migration-related stressors. Conversely, resource gain was most likely when they were supported by supervisors and colleagues at work, felt emotionally supported by friends, family, and community members, and adopted personal coping strategies to manage their stressors. We conclude by signaling opportunities for future research and recommendations for practitioners seeking to augment blue-collar immigrant employees' subjective well-being.     

Spatial changes in labour market inequality

We study spatial changes in labour market inequality for US states and MSAs using Census and American Community Survey data between 1980 and 2010. We report evidence of significant spatial variations in education employment shares and in the college wage premium for US states and MSAs, and show that the pattern of shifts through time has resulted in increased spatial inequality. Because relative supply of college versus high school educated workers has risen faster at the spatial level in places with higher initial supply levels, we also report a strong persistence and increased inequality of spatial relative demand. Bigger relative demand increases are observed in more technologically advanced states that have experienced faster increases in R&D and computer usage, and in states where union decline has been fastest. Finally, we show the increased concentration of more educated workers into particular spatial locations and rising spatial wage inequality are important features of labour market polarization, as they have resulted in faster employment growth in high skill occupations, but also in a higher demand for low wage workers in low skill occupations. Overall, our spatial analysis complements research findings from labour economics on wage inequality trends and from urban economics on agglomeration effects connected to education and technology.     

Unemployment,income distribution and debt-financed investment in a growth cycle model

As recent experience suggests, the most significant economic fluctuations are those that combine real and financial factors. This paper works out a simple model that couples a version of Goodwin׳s (1967) growth cycle model of real fluctuations with insights drawn from a model of financial fluctuations based on Minsky׳s financial instability hypothesis (Vercelli, 2000, Sordi and Vercelli, 2006, Sordi and Vercelli, 2012). The model suggested substantially modifies that of Keen (1995), who combined insights from Goodwin and Minsky within a model of fluctuating growth. In the real part of the model we introduce the possibility of disequilibrium in the goods market and formalize a mechanism of output adjustment based on the conventional dynamic multiplier. The model so obtained may exhibit persistent dynamics and provide insights to enable better understanding of the nature of real-world fluctuations.     

Natural disasters,growth and institutions: A tale of two earthquakes

We examine the impact of natural disasters on GDP per capita by applying the synthetic control approach and using a within-country perspective. Our analysis encompasses two large-scale earthquakes that occurred in two different Italian regions in 1976 and 1980. We show that the short-term effects are negligible in both regions, though they become negative if we simulate the GDP that would have been observed in absence of financial aid. In the long-term, our findings indicate a positive effect in one case and a negative effect in the other, largely reflecting divergent patterns of the TFP. Consistent with these findings, we offer further evidence suggesting that a quake and related financial aid might either increase technical efficiency via a disruptive creation mechanism or reduce it by stimulating corruption, distorting the markets and deteriorating social capital. Finally, we show that the bad outcome is more likely to occur in regions with lower pre-quake institutional quality. As a result, our evidence suggests that unanticipated local shocks are likely to change long run growth rates, exacerbating territorial disparities.     

Structural change and female participation in recent economic growth: a multisectoral analysis for the Spanish economy

ABSTRACT

Economic growth has different impacts on gender gaps. In recent decades the growing participation of women in the labour market has reduced the gender employment gap, however a notable gender pay gap still persists standing at around 15% on average in the European Union. In this context, this paper evaluates the impact of economic growth patterns on the evolution of gender employment and pay gaps. First, sectorial feminization, direct discrimination, and structural change factors are identified and evaluated as ways to explain changes observed in the gender pay gap. Second, we explore the influence of demand, technology, and intensity factors on the evolution of employment combining gender, skill, sectorial, and temporal perspectives. As a case study, we examine Spanish economic growth from 1980 to 2007 and the influences on the size, composition (by skill), and distribution (by sector) of female and male employment, as well as the consequences for gender gaps. Our results show that structural change contributed to reduce the gender employment gap in Spain; while the evolution of the gender pay gap is less conclusive, following a sort of inverted U-shape. This paper shows the suitability and potential of the multisectorial input–output framework to analyse structural and technological changes and their impacts on the gender employment and pay gaps.     

Bank competition,financial development and macroeconomic stability: Empirical evidence from emerging economies

In this study, we investigate the potential contribution of bank competition to macroeconomic stability, and the interactive role of financial development. We classify macroeconomic stability into economic and financial stability. Economic stability is represented by the volatility of actual and unexpected output growth, whereas financial stability is assessed by the aggregate Z-score and volatility of the private credit-to-gross domestic product ratio. We employ two structural and two non-structural measures of bank competition in our analysis. Applying a two-step dynamic panel system (GMM) to macroeconomic data from 48 developing nations from 1999 to 2018, we find a bell-shaped relationship between bank competition and macroeconomic stability. The findings imply that a higher level of bank competition promotes macroeconomic stability by reducing output growth volatility, fluctuations in private credit, and the probability of bank default. There is an optimal level of bank competition beyond which it may foster economic and financial instability. Moreover, financial development enhances bank competition’s positive impact on macroeconomic stability.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

Sources of asymmetric shocks: The exchange rate or other culprits?

We analyze and quantify the determinants of medium-term real exchange rate (RER) changes. First, we discuss the sources of asymmetric shocks causing exchange rate variability and the role of the RER as a shock absorber or generator. Secondly, we use data for 21 advanced and late transition economies to gauge the extent to which medium-term bilateral real exchange rate variability can be explained by various fundamental factors. Using Bayesian model averaging, we find that out of 22 factors under consideration, four types of dissimilarities within a given pair of economies are likely to be included in the true model: dissimilarities as regards (i) financial development, (ii) per capita income growth, (iii) central bank autonomy, and (iv) the structure of the economy. A regression based on these four factors indicates that they explain about 96 percent of the sample average level of three year RER variability. In the logic of our approach, the remaining part of the total variability represents an upper estimate of the influence of the foreign exchange market itself. For our sample, the contribution of the real exchange rate itself to asymmetric shocks therefore appears to be very low.     

Employment of disabled people in the private sector. An analysis at the level of Italian Provinces according to article 13 of law 68/1999

Law 68 of March 12, 1999, whose aim is to regulate and promote the employment of disabled people, has contributed significantly to the employment of persons with disabilities, and consequently to their social inclusion. In particular, article 13 of this law offers exemption from national insurance contributions to private institutions that employ disabled people. In this paper we propose a two-step analysis to assess the effectiveness of this law at the level of Italian Provinces for the year 2005. In the first phase, we verify by means of data envelopment analysis which Provinces are ranked among the most efficient ones in the application of article 13 of law 68/99. Then, through the use of cluster analysis, we examine differences among Provinces in terms of the factors that determine their different efficiency in the employment of disabled people. The results show that the employment of disabled persons is significantly affected by three groups of factors, i.e. the input endowment of the factors which affect the employment of disabled people, the Province ability to coordinate actions geared to achieving the employment of persons with disabilities, and the promotion of policy actions aimed at supporting the social inclusion of disabled people.