Sectoral shifts and unemployment persistence

This paper deals with possible explanations of unemployment persistence within a sectoral approach to the Austrian labour market. First the concept of unemployment persistence is specified in terms of the time series properties of the unemployment rate. Sectoral job gains and job losses form the labour market flows in this approach. The standard matching model is replaced then by a model of the competition between the unemployed and new entrants in the labour market for new jobs as an ‘adding up’ demand system of the AIDS type. The estimations of different system specifications indicate, that the sectoral structure of job gains plays a role in the competition mechanism between unemployed workers and new entrants.     

The nonlinear time series properties of unemployment rates: some further evidence

The time series properties of unemployment rates for Germany, Japan, the UK and the US are re-examined. Evidence of nonlinear structure in the residuals of the most parsimonious linear ARMA models is reported for all countries except Japan. Modelling this nonlinearity using SETAR models suggests strong asymmetry in unemployment dynamics and the presence of a possible limit cycle for the UK. However, residual diagnostics for these models indicate remaining structure. Alternative TAR models conditioned on past growth rates of industrial production yield substantial reductions in residual variance over both linear and SETAR counterparts, iid residuals in all cases other than the US, and threshold values at or very near zero, clearly identifying the asymmetric behaviour of unemployment during expansionary and contractionary phases of the business cycle.     

Unemployment and growth: some empirical evidence from structural time series models

This study investigates the empirical relationship between unemployment and growth in a number of OECD economies. A structural time series model is used for labour productivity growth to demonstrate that, in most economies, there seems to be a negative correlation between unemployment and labour productivity growth. The results provide little support for the theory that recessions may stimulate productivity growth. The use of a structural time series approach allows an attempt to model the underlying dynamics of productivity growth jointly with the effect of unemployment.     

Inflation, Unemployment and the NAIRU in Australia

In this paper we investigate the relationship between inflation and unemployment in Australia, post 1959. Our approach is based on identification of the time series components of the data. Evidence is found of significant correlations between the non-trend frequencies of inflation and unemployment and these correlations are exploited to estimate a simple forecasting model that does not suffer from the instability normally associated with the Phillips Curve. Estimates of the NAIRU are also provided and these range from as low as 2.3 per cent to as high as 9.2 per cent over this period, but these estimates are quite imprecise. Reasons for this imprecision are discussed.     

Modeling unemployment as an inventory: A multicointegration approach

We examine the dynamic phenomenon of unemployment as a constantly changing inventory of unemployed individuals. We focus on the possibility raised by Elsby et al. (2009) of an innate “inseparability” between the flows into and out of unemployment. Multicointegration, introduced by Granger and Lee (1989), offers a natural way to model the level of unemployment as an inventory. We find that there is multicointegration between inflows into and outflows from unemployment and the level of unemployment itself. By identifying this multicointegrating relationship, we are able to specify an error correction model for unemployment, improving forecasting ability.     

Artificial neural network regression models in a panel setting: Predicting economic growth

Economic time series often feature non-linear structures such as non-linear time trends, non-linear autoregressive effects, and non-linear interaction effects. In this paper, it is shown that artificial neural network regression models are suitable tools for the analysis of economic panel data because they allow for a compromise between the ability to model these features and the model size. As model specification is a concern in artificial neural network models, previous approaches are discussed critically. It is shown that the growth rates of the gross domestic product of 24 industrialized economies in the period 1992–2016 follow a non-linear time trend which cannot be explained by autoregressive features or polynomial time variables. The unrestricted functional form of the time trend in the artificial neural network model is also the main reason for the superior statistical performance compared to conventional panel models. This is confirmed by out-of-sample predictions for 2017.     

THE RELATIONSHIP BETWEEN CAPITAL STOCK, UNEMPLOYMENT AND WAGES IN NINE EMU COUNTRIES

The focus of this paper is to investigate the importance of the capital stock in the determination of wages and unemployment in a range of EMU countries and to compare the results across countries. A time‐series analysis is conducted in the case of nine euro area countries, which were selected solely on the basis of data availability and consistency: Austria, Belgium, Finland, France, Germany, Italy, Ireland, the Netherlands and Spain. The paper begins with a short review of the literature on capital stock and unemployment, before it deals with the theoretical model. This is followed by estimation and testing of the theoretical model put forward, using both time‐series and panel data. The results are supportive of the main hypothesis of the paper: capital stock is an important determinant of unemployment and wages in the countries considered for the purposes of the paper.     

Energy,unemployment and trade

This article investigates the dynamic relationships among sectoral economic activities, macro expenditure patterns, renewable and non-renewable energy consumption and unemployment in 41 countries from 1980 to 2014. The state of the art econometric techniques, both linear and non-linear panel and time series estimation techniques are used. The results show that industrialization, services sector, government expenditure and trade openness play a positive role in reducing unemployment, while agriculture and renewable energy consumption increase unemployment. This might be, in part, due to recent technological advancements and large capital intensive investments in agriculture and renewable energy sectors. Therefore, dedicated social and labour market policies need to be adopted to complement greening economic policies.     

Asymmetry and Duration Dependence in Australian GDP and Unemployment

The periodic structure of business cycles suggests that significant asymmetries are present over different phases of the cycle. This paper uses markov regime-switching models with fixed and duration dependent trasition probabilities to directly model expansions, contractions and durations in Australian GDP growth and unemployment growth. Evidence is found of significant asymmetry in growth rates across expansions and contractions for both series. GDP contractions exhibit duration dependence implying that as output recessions age the likelihood of switching into an expansion phase increases. Unemployment growth does not exhibit duration dependence in either phase. Evidence is also presented that non-linearities in unemployment growth are well explained by the asymmetries in the GDP growth cycle. The analysis suggests that recessions are periods of rapid and intense job destruction, that Australian unemployment tends to ratchet up in recessionary periods and, in contrast to US and UK studies, that shocks to Australian unemployment growth are more persistent in recessions than expansions.     

Matching frictions,unemployment dynamics and the cost of business cycles

We investigate the welfare cost of business cycles implied by matching frictions. First, using the reduced form of the matching model, we show that job finding rate fluctuations generate intrinsically a non-linear effect on unemployment: positive shocks reduce unemployment less than negative shocks increase it. For the observed process of the job finding rate in the US economy, this intrinsic asymmetry increases average unemployment, which leads to substantial business cycles costs. Moreover, the structural matching model embeds other non-linearities, which alter the average job finding rate and consequently the welfare cost of business cycles. Our theory suggests to subsidizing employment in order to dampen the impact of the job finding rate fluctuations on welfare.     

Entrepreneurship and Unemployment in the UK

The influence of industrial structure, more specifically of entrepreneurship, is investigated on the level of unemployment in the UK. The question is to what extent entrepreneurship, i.e., business ownership can reduce the level of unemployment. The alleged differences between the managed and the entrepreneurial economy will be discussed as well as the links between entrepreneurship and unemployment. It will be concluded that the UK is a relative outlier when using a simple model of the relationship between unemployment and the rate of business ownership. The model is calibrated using recent data of some 23 OECD countries. It underestimates the decrease in unemployment in the UK in the period 1982–1990. Some arguments are brought forward why this might be the case.     

A comparison of the Beveridge curve dynamics in Italy and USA

In this article, we investigate the Beveridge curve dynamics in the USA and Italy by means of a cointegrated structural VAR model. A simple economic model is introduced to motivate the identifying assumptions of the empirical analysis. A stable long-run relationship is found for both countries. In order to study the dynamic behaviour of the model, and to decompose unemployment and vacancy fluctuations, we identify three common stochastic trends. The empirical results suggest that there are some sources of hysteresis in unemployment in both countries. Transitory shocks are also identified to account for the short-run dynamics of the model. The approach allows us to detach the long-run from the short-run dynamics, in order to provide information on the cyclical and structural Beveridge curve.     

Unemployment Hysteresis in Transition Countries: Evidence using Stationarity Panel Tests with Breaks

The authors test hysteresis versus the natural rate hypothesis in unemployment using panel data for transition countries covering the period 1991:1–2003:11. The advantages of the stationarity tests applied is that they exploit the cross-section variations of the series and, additionally, allow for a different number of endogenous breakpoints in the unemployment series. They do not impose independence on the panel members, so that the critical values are simulated based on their specific panel sizes and time periods. The findings stress the importance of accounting for exogenous shocks in the series and give support to the shifting natural-rate hypothesis of unemployment for all the countries analyzed.     

On the measurement of entry rates

The purpose of this paper is to explicitly examine the impact that two distinct methods used to measure entry have on identifying the determinants of entry. The two approaches can be termed as the ecological approach and the labor market approach. Based on new business startups in 75 regional markets in West Germany, we find that the two different methods for measuring entry yield disparate results. Most strikingly, we find that the ecological approach yields a positive relationship between unemployment and startup activity, while the labor market approach points to a negative impact of unemployment on the startup of new firms. By decomposing these two measures we offer a reconciliation of what appears to be a measurement contradiction.     

Time to Ditch the Natural Rate?

We urge macroeconomists to abandon the 'natural rate' as an analytical device on the ground that it has become a source of great and growing confusion. But we press them to recognise that it has great potential as a policy tool provided we grasp the central idea of a hypothetical unemployment rate, which can be compared with the actual unemployment rate. We integrate three hypothetical unemployment rates with the help of an exploratory macro model and then present a quarterly series for each for Australia for the period 1986(2) to 1997(2). We explain how such series could help in policy-making.     

NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff

Meaningful estimates of the non‐accelerating inflation rate of unemployment (NAIRU) within a Phillips curve framework require an identified tradeoff between inflation and unemployment. However, observations of inflation and unemployment are equilibrium points giving rise to a simultaneity problem. We assess conventional identifying assumptions in the literature on the German NAIRU in a general bi‐variate equations system of inflation and unemplyoment. We use a data‐driven method for identification based on shifts in the relative volatility of shocks to unemployment and inflation to identify the tradeoff for Germany. Our results support models which estimate a contemporaneous effect of unemployment on inflation and those which model inflation and unemployment jointly.     

The cause of Danish unemployment: Demand or supply shocks?

We study the Danish unemployment experience 1905–92 using a common trends model with cointegration constraints. To justify the identifying assumptions about the cointegration vectors and the common trends we present a simple macroeconomic model of the labor market. The model determines the long run behavior of labor productivity, employment, unemployment, real product and real consumer wages. The empirical results give support for three cointegration relations and two common trends. Based on the economic model the trends are interpreted as representing labor productivity (technology) and labor supply. With unemployment being nonstationary, the common trends analysis indicates that labor supply shocks is the primary source for explaining the behavior of unemployment. First Version Received: August 1999/Final Version Received: June 2000     

Flexicurity Labour Market Performance in Denmark

Unemployment is at a low and stable level in Denmark. This achievementis often attributed to the so-called flexicurity model combiningflexible hiring and firing rules for employers with income securityfor employees. Whatever virtues this model may have, a low andstable unemployment rate is not automatically among them sincethe basic flexicurity properties were also in place during the1970s and 1980s where high and persistent unemployment was prevalent.Labour market performance has changed due to a series of reformsduring the 1990s, the main thrust of which was a shift froma passive focus of labour market policies to a more active focuson job search and employment. The policy tightened eligibilityfor unemployment benefits and their duration as well as introducedworkfare elements into unemployment insurance and social policiesin general. Thereby, policy makers attempted to strengthen theincentive structure without taking resort to general benefitreductions. We argue that the workfare policies have playedan important role running primarily via motivation/threat andwage effects. However, active labour market policies are resourcedemanding, and although the workfare reforms have improved costeffectiveness, there is still an issue as to whether the resourcesgoing into active labour market policies are used efficiently.(JEL codes: J30, J40, J60, H53)     

中国总量性非自愿失业模型生成机制研究——基于凯恩斯就业理论的视角

中国失业问题主要不是结构问题,而是总量问题。运用凯恩斯就业理论中的周期性总量性失业模型。对长期总量性非自愿失业的生成机制的研究发现,应从控制人口增长、降低劳动参与率、缩短劳动时间及实行灵活的就业制度等方面扩张潜在就业规模,从而有效治理失业问题。促进社会的和谐发展。