Volatility in productivity and the impact on unemployment

Volatility, and the uncertainty it creates, has long been recognized as a factor in economic decision making. Since hiring occurs before shocks to productivity are realized, firms’ investment in new labour is inherently risky. How large a role uncertainty in productivity has on aggregate unemployment is an empirical question that we attempt to answer. In this paper we measure the impact of higher volatility in labour productivity on the unemployment rate in the U.S. economy using a SVAR-GARCH-M model. Using the conditional standard deviation of productivity innovations from a multivariate GARCH model to measure uncertainty, we provide compelling evidence that unemployment increases with volatility. This estimated relative effect is actually larger for positive productivity shocks leading to unemployment declines only 60% as large as would have occurred using models that exclude uncertainty.     

Shocks and rigidities as determinants of CEE labour markets’ performance

In this article, the impact of real wage, productivity, labour demand and supply shocks on eight Central and Eastern European (CEE) economies from 1996–2007 is analysed with a panel structural vector error correction model. A set of long‐run restrictions derived from the dynamic stochastic general equilibrium (DSGE) model is used to identify structural shocks, and fluctuations in foreign demand are controlled for. We find that the propagation of shocks on CEE labour markets resembles that found for OECD countries. Labour demand shocks emerge as the main determinant of employment and unemployment variability in the short‐to‐medium run, but wage rigidities were equally important for observed labour market performance, especially in Poland, Czech Republic and Lithuania. We associate these rigidities with collective bargaining, minimum wage, active labour market policies and employment protection legislation.     

News shocks and labour market dynamics in matching models

We enrich a baseline real business cycle (RBC) model with search and matching frictions on the labour market and real frictions that are helpful in accounting for the response of macroeconomic aggregates to shocks. The analysis allows shocks to have an unanticipated and a news (i.e., anticipated) component. The Bayesian estimation of the model reveals that the model that includes news shocks on macroeconomic aggregates produces a remarkable fit of the data. News shocks in stationary and non‐stationary TFP, investment‐specific productivity and preference shocks significantly affect labour market variables and explain a sizeable fraction of macroeconomic fluctuations at medium‐ and long‐run horizons. Historically, news shocks have played a relevant role for output, but they have had a limited influence on unemployment.     

Financial Market Imperfections, Labour Market Imperfections and Business Cycles

A Greenwald–Stiglitz (1993a) style rational expectations business cycle model is introduced in which uncorrelated productivity shocks or monetary shocks generate autocorrelated employment fluctuations due to financial constraints. The propagation mechanism is carefully modelled: because of capital market imperfections (only standard debt contracts are traded), firms' labour demand changes in response to changes in their balance-sheet position; because of labour market imperfections (efficiency wages), employment and unemployment fluctuate in response to shifts in labour demand. The virtue of the model is its simplicity. Despite the fact that unemployment is endogenous, the dynamic behaviour of the model under rational expectations can be characterised analytically.
JEL classification : E 32     

Modelling labour market dynamics with on-the-job search

A flow model of the Dutch labour market is used to calculate the effects of policy options which aim to enhance employment, especially at the lower end of the labour market. The model distinguishes between good and bad jobs, allows for endogenous wage formation and job creation, and describes the flows between these jobs so that job-to-job mobility and the vacancy chain is made endogenous. In the matching process employed job seekers with bad jobs compete with short-term and long-term unemployed for the filling of vacancies for good jobs. In each period part of the good and bad jobs are destroyed which results in inflow into unemployment. The model explicitly describes the flow of unemployed through the various duration classes of unemployment and it allows for negative duration dependence so that the escape probability from unemployment for long-term unemployed is smaller than for short-term unemployed. The model is used to simulate the effects of external shocks, such as structural productivity shocks. An impulse response analysis using the model is also conducted considering labour market policies which aims especially to enhance employment at the lower end of the labour market. In particular, the effects are analysed of measures subsidising the opening of bad jobs (jobs at the lower end of the labour market) and a rise in the productivity of a bad job as compared to a good job which can be achieved by changes in the tax system.     

Can the baseline search and matching model quantitatively explain Okun’s law?

Okun’s Law is an empirically observed, negative relationship between changes in an economy’s unemployment rate and its growth rate of output. The baseline search and matching model with stochastic labour productivity fails to match the Okun’s coefficient, because it generates a too low unemployment volatility and a too high correlation between labour productivity and unemployment. The model is capable of matching the coefficient if it is extended with an addition of employment separation shocks plus a high calibrated value of nonmarket activities. This article also shows that changes in the stochastic properties of exogenous shocks could explain changes in the Okun’s coefficient in the Great Moderation (1984–2007).     

NAIRU and productivity shocks: evidence from three gigantic economies

This article investigates NAIRU which stands for Non Accelerating Inflation Rate of Unemployment and its trend in three of the world gigantic economies to mention orderly USA, Japan and China. A Vector Autoregressive Regression model estimated to study the reaction of NAIRU to shocks imposed by labour productivity. Results indicate both productivity shocks and NAIRU fluctuations have counter effects.     

Modelling the sectoral allocation of labour in open economy models

Indivisible labour is not the only type of non‐convexity affecting labour supply decisions. Another type of non‐convexity arises in economies with sectors whenever individuals can work in only one sector at a time. I introduce this restriction into an open economy model with a tradeable and a non‐tradeable sector, and I use lotteries to convexify the consumption possibilities set. This approach implies that the aggregate elasticity of labour supply becomes infinite. I compare the performance of the model with an analogous model in which the labour supply elasticity is finite. I find that there is a disconnect between the response of wages to monetary shocks and the open economy variables. The labour supply elasticity plays a more important role in the transmission of technology and government expenditure shocks to the real exchange rate and the terms of trade.     

Technology,employment and the business cycle in post-transition countries of the EU

This article analyses the importance of technology and non-technology shocks in the business cycles of European Union post-transition countries. Different assumptions of New Keynesian and Real Business Cycle theory are tested. The results demonstrate that a non-technology shock is more important in explaining business cycles in post-transition countries, although a technology shock is not trivial. The technology shock cannot replicate basic business cycle facts observed in the data: it produces a low or negative correlation between employment and GDP, and a strong negative correlation between labour productivity and employment. Technology and non-technology GDP components are analysed in the transition and post-transition period. The results show a non-technology shock was the dominant source of business cycles both during and after the transition period.     

A Model of TFP

This paper proposes an aggregative model of total factor productivity (TFP) in the spirit of Houthakker (1955–1956) . It considers a frictional labour market where production units are subject to idiosyncratic shocks and jobs are created and destroyed as in Mortensen and Pissarides (1994) . An aggregate production function is derived by aggregating across micro-production units in equilibrium. The level of TFP is explicitly shown to depend on the underlying distribution of shocks as well as on all the characteristics of the labour market as summarized by the job-destruction decision. The model is also used to study the effects of labour-market policies on the level of measured TFP.     

Labour productivity trends in Australian manufacturing: some time series properties

Labour productivity plays a significant role in economic growth, labour demand and employment situation of a particular economy. In this light, the presence of a structural break in productivity, and its unit root property, has important consequences for the overall economy and in major sectors such as manufacturing. In this article, using some recently developed unit root tests, we examine: (i) the null hypothesis of a unit root in the log-level of labour productivity for 38 manufacturing subdivisions against the alternative of trend stationarity over a three-decade period; and (ii) the presence of a structural break in the series, and whether the break has had a permanent or a transitory effect on manufacturing labour productivity. Our main finding is that shocks to labour productivity have had a transitory effect, implying that policies are likely to have only short-term effects.     

The effects of shocks on the Austrian unemployment rate – a structural VAR approach

Assuming full hysteresis in the Austrian labour market, a simple macroeconomic framework is used to model the effect of four structural shocks, i.e. shocks to productivity, demand, wages and labour supply. By using SVAR analysis, we derive impulse-response functions that show the effects of these shocks on unemployment. What constitutes a distinctive feature of our study is the deliberate use of overidentifying restrictions, allowing for a likelihood ratio test. The objection to SVAR methodology, that it relies on arbitrary assumptions, can thus be overcome, as invalid sets of identifying restrictions are rejected. First version received: September 2000/Final version received: March 2002 RID="*" ID="*"  I thank Juan F. Jimeno, Martin Wagner, Helmut Hofer and Bernhard B?hm for their assistance; Robert Kunst and Martin Spitzer for their discussion of an earlier version of this paper; Thomas Sparla, Michael Roos and two anonymous referees for their helpful comments.     

Cointegration and common trends on the West German labour market

In this paper we analyze the West German labour market by means of a cointegrated structural VAR model. We find sensible stable long-run relationships that are interpreted as a labour demand, a wage setting and a goods market equilibrium. In order to study the dynamic behaviour of the model we identify two common trends that push unemployment. We find that goods market shocks have only transitory impacts on unemployment. In the long run, it is almost equally determined by technology and labour supply factors. However, transitory shocks have major importance in the shorter run since adjustment processes are rather sluggish. First version received: Sept. 1998/Final version accepted: Feb. 2000     

Vacancies and Unemployment in Australia

This article examines the extent to which the Mortensen–Pissarides model of labour market search can quantitatively match business cycle fluctuations in Australia. With productivity and job‐separation‐rate shocks, the model fails to produce substantial volatility among unemployment or vacancies, a result similar to Shimer's (2005) findings for the United States. Examining a broader range of shocks significantly increases the magnitude of business cycle fluctuations, but still only explains roughly 25 per cent of labour market volatility. The implied volatility of wages in the model is similar to that in the data and hence excessive wage flexibility is unlikely to be central to the failure of the model as claimed in the literature.     

Unemployment dynamics with international capital mobility

We study the response of domestic unemployment rates to shocks in total factor productivity for economies with high capital mobility and low labour mobility. We show that high capital mobility amplifies the impact on the domestic unemployment rate of domestic fluctuations in total factor productivity, shortens the lag of the response to shocks and raises the variability of unemployment. But average unemployment is unaffected. Capital flows increase the riskiness of labour income and reduce the riskiness of capital income but do not reduce mean welfare.     

Conflict, Effort and Capital Stock in UK Wage Determination

The paper is concerned with the determination of wages, unemployment and labour productivity in the UK. The theoretical model suggests that in addition to economic factors, historical and ideological elements play an important role in the determination of wages, unemployment and productivity. Particular emphasis is put on the capital shortage hypothesis. It is argued that capital scrapping in response to the two oil price shocks, combined with subsequent sluggish growth in capital, may be responsible for the rise of the NAIRU and the persistence of unemployment. The empirical analysis is concerned with testing the theoretical model, using quarterly data for the UK from 1966 until 1994. We use cointegration analysis for the determination of wages, unemployment and labour productivity. This revised version was published online in July 2006 with corrections to the Cover Date.     

Animal spirits and optimal monetary policy design in the presence of labour market frictions

Using a New Keynesian DSGE model with labour market frictions, we compare outcomes for backward-looking animal spirits expectations with rational expectations after technology and demand shocks. For optimal monetary policy, major differences arise only for technology shocks, and discretionary policy performs better than commitment policy under animal spirits expectations. If Taylor rule parameters are chosen to best replicate optimal monetary policy outcomes, inflation targeting is only appropriate for technology shocks, particularly for large labour frictions, while targeting only economic activity is appropriate for demand shocks. Fault tolerance analysis shows high costs from failing to identify true animal spirits expectations and technology shocks.     

Heterogeneous Jobs and the Aggregate Labour Market

This paper analyses a simple search‐and‐matching model with heterogeneous jobs. First, I derive an explicit formula that ensures the social efficiency of the equilibrium outcome. This formula generalises the well‐known Hosios condition and clarifies the role of externalities across labour markets for different types of jobs. Second, business cycle fluctuations with heterogeneous jobs are analysed. Heterogeneity in productivity and job stability plays an important role in generating strong labour‐market responses to productivity shocks.     

Productivity Dynamics with Technology Choice: An Application to Automobile Assembly

During the 1980's, all Japanese automobile producers opened assembly plants in North America. Industry analysts and previous research claim that these transplants are more productive than incumbent plants and that they produce with a substantially different production process. I compare the production processes by estimating a model that allows for heterogeneity in technology and productivity, both of which are intrinsically unobservable. The model is estimated on a panel of assembly plants, controlling for capacity utilization and price effects.
The results indicate that the more recent technology uses capital more intensively and it has a higher elasticity of substitution between labour and capital. Hicks-neutral productivity growth is estimated to be lower, while capital-biased (labour-saving) productivity growth is higher for the new technology. Using the estimation results, I decompose industry-wide productivity growth and find plant-level changes in lean plants to be the most important contributor. Plant-level productivity growth is further decomposed to reveal the importance of capital-biased productivity growth, increases in the capital–labour ratio, and returns to scale.     

Managerial pay adjustments: Decomposition and impact on firm productive efficiency

This paper decomposes managerial pay adjustments and examines their impact on firm productivity based upon Taiwanese firm panel data. Pay adjustments are decomposed into components arising from three sources: a scheme based on the external labour market comparisons, a scheme derived from the changes in firm and manager characteristics, and transitory pay adjustments. The stochastic frontier model is used to test how these pay components affect firm productivity. Empirical results suggest that the pay adjustments based on the comparison between managers' actual pay and their market-clearing pay are positively related to the output and technical efficiency of the firms, whereas this productivity-boosting effect cannot be seen for other components. This paper shows the importance of the external labour market in connecting managerial pay to firm productivity, and provides a model for the research of managerial pay in an environment where the compensation structure does not have apparent stock incentives.