Nominal inertia and shock persistence in UK business cycles

A structural VAR methodology is used for UK data to identify and map out the effects of innovations in the money supply, employment, output, wages and prices. Moreover, bands of two standard errors are computed for the impulse response functions so that comment may be made on the significance of the dynamic responses of the variables to the simulated shocks. This allows conclusions to be drawn on the persistence of shocks. Results suggest that output variation is largely determined by aggregate demand shocks over the business cycle frequency. Importantly, evidence is also found of rigidities in the form of price inertia and nominal wage stickiness.     

Labor Market Dynamics and the Business Cycle: Structural Evidence for the United States*

We use a 12‐dimensional VAR to examine the aggregate effects of two structural technology shocks and two policy shocks. For each shock, we examine the dynamic effects on the labor market, the importance of the shock for labor market volatility, and the comovement between labor market variables and other key aggregate variables in response to the shock. We document that labor market indicators display “hump‐shaped” responses to the identified shocks. Technology shocks and monetary policy shocks are important for labor market volatility but the ranking of their importance is sensitive to the VAR specification. The conditional correlations at business cycle frequencies are similar in response to the four shocks, apart from the correlations between hours worked, labor productivity and real wages. To account for the unconditional correlations between these variables, a mixture of shocks is required.     

Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics

This paper develops a method for analysing the dynamics of large cross-sections based on a factor analytic model. We use "law of large numbers" arguments to show that the number of common factors can be determined by a principal components method, the economy-wide shocks can be identified by means of simple structural VAR techniques and that the parameters of the unobserved factor model can be estimated consistently by applying OLS equation by equation. We distinguish between a technological and a non-technological shock. Identification is obtained by minimizing the negative realizations of the technology shock. Empirical results on 4-digit industrial output and productivity for the U.S. economy from 1958 to 1986 show that: (1) at least two economy-wide shocks, both having a long-run effect on sectoral output, are needed to explain the common dynamics; (2) although the technological shock accounts for at least 50 per cent of the aggregate dynamics of output, it cannot by itself explain dynamics at business cycle frequencies; (3) sector-specific shocks explain the main bulk of total variance but generate mainly high frequency dynamics; (4) both the technological and the non-technological component of output show a peak for positive sectoral comovements of output at business cycle frequencies; (5) technological shocks are strongly correlated with the growth rates of the investment in machinery and equipment sectors and their inputs.     

Measuring the effects of monetary policy in Pakistan: a factor-augmented vector autoregressive approach

This paper examines the effects of monetary policy on macroeconomic variables in Pakistan’s economy using a data-rich environment. We used the factor-augmented vector autoregressive (FAVAR) methodology, which contains 115 monthly variables for the period 1992:01 to 2010:12. We compared the results of VAR and FAVAR model and the results showed that FAVAR model explains the effects of monetary policy which are consistent with the theory and better than the VAR model. VAR model shows the existence of price puzzle and liquidity puzzle in Pakistan while FAVAR model did not provide any evidence of puzzles. Interest rate negatively influences prices, hence interest rate is a good instrument for controlling inflation in Pakistan but it takes a lag of 5 months. The transmission of monetary policy shock is faster in case of prices as compared to output in Pakistan. FAVAR model supports the effectiveness of interest rate channel in Pakistan.     

Ageing shocks and short-run regional labour market dynamics in a spatial panel VAR approach

Using a flexible spatial panel VAR model for a small-scale labour market system, we investigate the dynamic interdependences between changes in the demographic structure and the labour market performance of a regional economy. With a particular focus on ageing shocks, we describe an increase in the share of elderly in regional population due to exogenous changes in the institutional context, such as pension reforms. The regional labour market implications of an ageing shock are then tested with regard to the effects on employment growth, unemployment and labour participation rate. Our results based on a sample of 71 Scandinavian regions point to negative regional labour market effects of an ageing shock implying a reduction in employment growth and a temporarily declining labour participation rate, while the unemployment rate increases. Importantly, spatial spillovers amplify these negative impacts through a marginalization of macro-regional labour markets. As a robustness check, we reverse the causal ordering and analyze the responses to a positive macroeconomic shock which initially increases employment growth. We find direct and spatially indirect adjustment patterns characterized by a reduction of the unemployment rate, an increase in the labour participation rate and a decrease in the share of elderly in the population.     

Does tax policy affect credit spreads? Evidence from the US and UK

This paper studies how exogenous tax changes affect credit market conditions in the US and UK. Using both structural VAR and structural factor-augmented VAR (FAVAR) model, we find that tax-policy shocks have significant effects on the credit spread. Specifically, the credit spread responds first positively and then negatively to an exogenous tax increase in the two countries. Moreover, the impulse responses of the credit spread to tax-policy shocks do not always accord well with the impulse responses of the output. This indicates that there are channels of tax policy transmission to the credit spread other than through its impact on the business cycle.     

Monetary transmission mechanism and time variation in the Euro area

This paper examines the monetary transmission mechanism in the Euro area (EA) for the period of single monetary policy using factor-augmented vector autoregressive (FAVAR) techniques. The aims of the paper are threefold. First, a novel dataset consisting of 120 disaggregated macroeconomic time series spanning the period 1999:M1 through 2011:M12 is gathered for the EA as an aggregate. Second, a Bayesian joint estimation technique of the FAVAR approach is applied to the European data in order to investigate the impacts of monetary policy shocks on the economy. Third, time variation in the transmission mechanism and the impact of the global financial crisis are investigated in the FAVAR context using a rolling windows technique. We find that there are considerable gains from the implementation of the Bayesian technique such as smoother impulse response functions and statistical significance of the estimates. According to our rolling estimations, consumer prices and monetary aggregates display the most time-variant responses to the monetary policy shocks in the EA.     

Sectoral and Aggregate Technology Shocks:Is There a Relationship?

We analyze sector-specific shocks in productivity and demand in 19 manufacturing sectors of the Austrian economy. Based on a structural vector autoregressive model (SVAR) with long-run restrictions developed by Galí (1999) we extract technology and non-technology shocks from sectoral and aggregate data. We study their patterns and relationship by means of a principal components analysis and find a close association of sectoral and macroeconomic non-technology shocks but only a very weak association for technology shocks. Impulse response analysis indicates that for almost all manufacturing sectors as well as the aggregate Austrian economy productivity growth rates experience an immediate increase due to positive technology shocks while hours worked decline. Thereby we confirm Galís results on the level of Austrian manufacturing industries. From regression analysis, we find that our shocks are closely associated to employment growth and output growth but not to investment growth and that the reaction is different for the aggregate economy and manufacturing industries.JEL codes: D24, E23, E32, O30We thank Werner Müller and the participants of the 2004 conference of the Austrian Economic Association (NOeG) for helpful comments. We would like to thank an anonymous referee for many helpful comments that led to a substantial improvement of the paper. The usual disclaimer applies. This research project was supported by a research Grant (Project Nr. 9800) of the Jubiläumsfonds der Österreichische Nationalbank (OeNB).     

Technology shocks around the world

This article investigates the effects of a permanent technology shock on labor input in the major seven developed countries. The recent empirical literature which uses Structural Vector Autoregressions (SVAR) with long-run restrictions has argued that technology shocks lead to a persistent and significant decline in employment in most of the G7 countries. We claim that the international transmission of shocks prevents the use of existing SVAR models, but also suggests alternative specifications to properly uncover their effects. We show in a quantitative two-country model that a measure of labor productivity aggregated across countries is more immune to persistent, if not permanent, shocks and allows to accurately identify the responses of the labor input to a technology shock. Using labor productivity at the G7 aggregate level, we find that the response of employment changes critically in most of the major seven developed countries.     

THE EFFECTS OF FISCAL SHOCKS ON EMPLOYMENT AND THE REAL WAGE*

We study the transmission of fiscal shocks in the labor market. We employ a structural VAR and base identification on the restrictions that shocks to government consumption, investment, and employment must raise output and deficits. These restrictions hold in both prototype Real Business Cycle (RBC) and New Keynesian models. Shocks to government consumption and investment increase real wages and employment contemporaneously, both at state level and in the aggregate. The dynamics in response to employment shocks are mixed: Increases in government employment raise the real wage and total employment in the aggregate. However, in one third of the states they reduce total employment.     

Sectoral shocks and business cycles: a disaggregated analysis of output fluctuations in the UK

In this paper we first show that it is possible to modify linear real business cycle models to allow for disaggregate (industry-specific) factors in the generation of macroeconomic fluctuations. We then try to determine the relative importance of aggregate and sectoral shocks by doing principal components analysis on the residuals from a VAR of output growth rates in 19 UK industrial sectors. We find that a significant percentage of the innovations in sectoral output growths can be accounted for by a single unobserved component. However, since the model only sets an upper bound to the explanatory power of aggregate impulses, the importance of using sectoral data to extract additional information to bear on the analysis of economic fluctuations is confirmed by our findings.     

Investment-specific technological changes: The source of long-run TFP fluctuations

Technological innovations originating in the capital–producing sector may spillover to the rest of the economy and enhance aggregate TFP in the long-run. This paper assesses the quantitative importance of investment-specific technological changes in long-run movements in aggregate TFP. To this end, we construct a two-sector business cycle model where an IST diffusion process influences long-run movements in aggregate TFP via spillover. We then establish the linkage between the primitive shocks of the model and two shocks that can be identified from a VAR approach: one shock accounting for the long-run movement in aggregate TFP and the other accounting for the long-run movement in the inverse of the relative price of investment. We show analytically that the correlation of these two long-run shocks can be fruitful in distinguishing the quantitative importance of IST innovations in long-run movements in aggregate TFP. Using post-war U.S. data, we find that these two long-run shocks identified by the MFEV approach are almost perfectly collinear. Moreover, these two shocks can explain a significant, and surprisingly similar, fraction of the business-cycle fluctuations in other important macro variables. Our findings suggest that embodied technological changes are an important driver of long-run movements in aggregate TFP.     

Do technology shocks lower hours worked? – Evidence from Japanese industry level data

We examine the response of productivity and hours worked to technology and nontechnology shocks using the Japan Industrial Productivity (JIP) Database. We find that, at the aggregate level, positive technology shocks increase hours worked both in the manufacturing and the nonmanufacturing sector, accounting for a large fraction in the variances of hours worked. At the two- and three-digit industry levels, in contrast, we find that the correlation between productivity and hours worked in response to sectoral technology shocks tends to be negative. Further, we find that neither aggregate nor sectoral technology shocks appear to be the dominant factor underlying fluctuations in hours worked at the disaggregate level. The productivity decline in response to nontechnology shocks is not related to a permanent change in the relative size of industries.     

The cyclical behavior of job creation and job destruction: A sectoral model

Summary Three key features of the employment process in the U.S. economy are that job creation is procyclical, job destruction is countercyclical, and job creation is less volatile than job destruction. These features are also found at the sectoral (goods and services) level. The paper develops, calibrates and simulates a two-sector general equilibrium model that includes both aggregate and sectoral shocks. The behavior of the model economy mimics the job creation and destruction facts. A non-negligible amount of unemployment arises due to the presence of aggregate and sectoral shocks.We thank Jeffrey Campbell, Richard Rogerson and two referees for helpful comments. We are grateful to M.J.D. Powell for providing us with his GETMIN FORTRAN subroutine.     

Wage and price differences,technology gap and labor flow dynamics

The relationship between wage difference and relative employment is a very important issue in the field of economic structural change. An M-sector economic growth model is constructed in this paper to investigate the relationship between wage difference, price difference, technology gap, relative employment and sectoral dynamic change from the perspective of technologies. Labor flow is regarded as a decision-making behavior to maximize the benefits of economic agents. The benefits of labor flow mainly come from sectoral wage difference, and the costs of labor flow mainly come from the social resource expenditure during labor flow process. Our model illustrates that: (i) the relative employment is positively correlated with the real wage difference and technology gap; (ii) the sectoral dynamic changes coexist with the aggregate economic growth; (iii) increases in technology gap, and price and wage differences will stimulate labor migration, exacerbate the unbalanced growth of sectoral economies, and lead to faster and more effective aggregate economic growth.     

Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle

Using a robust sign restrictions approach, we study the response of total factor productivity (TFP) to structural shocks in a VAR framework. We find that TFP increases in response to adverse supply, demand, and wage mark-up shocks. Results for monetary policy shocks are insignificant. Following an adverse technology shock and reductions in government spending, TFP declines. Overall, we conclude that TFP fluctuates endogenously over the business cycle, a feature of the data that is not present in standard DSGE models.     

Market institutions,labor market dynamics,and productivity in Argentina during the 1990s

This paper addresses the effects of policy shocks and structural reforms on the dynamic behavior of manufacturing job flows and productivity in Argentina during the 1990s, and the contribution of job reallocation to productivity. The main findings are: (a) shocks to labor taxes have allocative effects, while financial shocks have aggregate effects; (b) import tariffs appear to protect obsolete jobs; (c) sectoral differences in labor intensity, openness, financial dependence and workers’ strength shape the responses to shocks; (d) intra‐ and inter‐sectoral reallocations contribute positively to productivity; and (e) trade liberalization and labor market flexibilization favor reallocation and creative destruction.     

Assessing monetary policy in the euro area: a factor-augmented VAR approach

In order to overcome the omitted information problem of small-scale Vector Autoregression (VAR) models, this study combines the VAR methodology with dynamic factor analysis and assesses the effects of monetary policy shocks in the euro area in the period during which there is a single monetary policy. Using the Factor-Augmented Vector Autoregressive (FAVAR) approach of Bernanke et al. (2005 Bernanke, B, Boivin, J and Eliasz, P. 2005. Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. The Quarterly Journal of Economics, 120: 387–422. [Crossref], [Web of Science ®] , [Google Scholar]), we summarize the information contained in a large set of macroeconomic time series with a small number of estimated factors and use them as regressors in recursive VARs to evaluate the impact of the nonsystematic component of the European Central Bank's (ECB's) actions. Overall, our results suggest that the inclusion of factors in the VAR allows us to obtain a more coherent picture of the effects of monetary policy innovations, both by achieving responses easier to understand from the theoretical point of view and by increasing the precision of such responses. Moreover, this framework allows us to compute impulse-response functions for all the variables included in the panel, thereby providing a more complete depiction of the effects of policy disturbances. However, the extra information generated by the FAVAR also delivers some puzzling responses, in particular those relating to exchange rates.     

The impact of productivity and demand shocks on structural dynamics: Evidence from Austrian manufacturing

Based on Pasinetti's model of structural dynamics we develop an empirical identification strategy for aggregate and sectoral labor productivity and demand shocks in a structural vector autoregressive model with long-run restrictions. Impulse response analysis shows that we can distinguish four patterns of the effects of changes in demand and productivity growth on sectoral output growth. For some industries demand is indeed the factor driving sectoral growth. Labor productivity and demand shocks are closely associated with the growth rates of employment and output across industries. However, there is less correlation with entry and exit. This suggest that structural change within and between industries may have quite different determinants.     

Sources of employment fluctuations in Taiwan's industries and regions

This empirical study explores the sources of employment fluctuations in Taiwan's industries and regions over the period 1978 to 2004. The quarterly growth rates of employment in nine industries and four regions are modelled with a structural vector autoregression (VAR), and the employment shocks are measured by VAR residuals. The covariance matrix of the VAR residuals is decomposed using system estimation method that selects the parameters to make the error model close to the covariance matrix and, in turn, to estimate the relative importance of national as well as industry-specific and region-specific shocks. The empirical results show that industry-specific shocks account for the major fluctuations in industries and regions. On average, about 83.95% of an industry's cyclical variations and 56.28% of the volatility in a region may be attributed to industry-specific shocks. National shocks account for little employment volatility in industries. Only the finance and personal service industries are highly sensitive to national shocks.