Search efficiency,wage dynamics and welfare

Advances in information technology have improved the job-search process in the labor market. We analyze the effects of this improvement by constructing a search-and-matching model with two sectors: a risky sector with firm-specific productivity shocks and a risk-free sector. The risky sector is characterized by a low level of commitment between employers and workers – either party can end the employment relationship. We show that a better job-search process generates more job matches in the risky sector, and this benefits workers by improving their outside options. The effect on employers is subtle: while it is easier to fill vacancies, workers become more expensive. At the same time, the ease of finding new workers makes it harder for employers to keep their wage promises to workers and increases wage volatility. Our paper contributes to the literature by offering a novel explanation for the observed rise in wage volatility.     

JOB FLOWS AND UNEMPLOYMENT IN AN EQUILIBRIUM UNEMPLOYMENT MODEL WITH FIRM‐SPECIFIC SKILL TRAINING*

We introduce productivity enhancing firm‐specific skill training into the labour search model in which the firm‐specific skill training intensity and the job destruction rate are endogenously determined. It is shown that the higher the intensity of such training, the lower the rates of unemployment, job creation and job destruction. The paper's model provides a theoretical framework to understand the often mentioned peculiarity of the Japanese labour market; prevalently low rates of unemployment, job creation and job destruction in Japan are due to its training system which promotes workers to acquire firm‐specific skills.     

Worker flows, job flows and unemployment in a matching model

Standard matching models of unemployment generate far too little volatility in unemployment and vacancies relative to the variation in the shock variables. Shimer (2005) showed that in US data the vacancy-to-unemployment ratio is about 26 times more volatile than the standard model predicts. He identified the flexibility of wages as the key issue and triggered a heated debate on possible improvements of the core model to accommodate these empirical facts. In this paper, we first document Shimer's facts for the UK and find them to be qualitatively similar to US facts. We then develop and calibrate a model based on the Mortensen and Pissarides approach that increases the volatility of the v/u ratio 20-fold compared to the standard framework. The key features of our model relate to the job creation decision by firms and the search options of workers. We allow these to search whilst employed, and firms to re-advertise jobs that have been quit from. This leads us to use a different job creation process, whereby potential vacancies, or job ‘ideas’, arise at a finite rate per period over a range of idiosyncratic productivities. Calibrating the model to UK data, we show that it delivers volatility in unemployment and vacancies much closer to, though still not as large as, that observed for the UK, whilst retaining the standard wage determination process.     

Anchoring-Adjusted Option Pricing Models

Relying on a useful starting point and attempting to adjust it appropriately is a robust human decision-making heuristic. Evidence suggests that underlying stock volatility is such a starting point, which is scaled up to estimate call option volatility. The author adjusts the Black-Scholes, Heston, and Bates models for reliance on this starting point. The adjustment mechanism captures several option-return puzzles. The adjusted Black-Scholes generates implied-volatility skew. The adjusted Heston stochastic-volatility model matches the same data better, does so at more plausible parameter values, and generates a steep short-term skew. Furthermore, 2 novel predictions are empirically tested and strongly supported in the data.     

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.     

The supply of skills in the labor force and aggregate output volatility

The cyclical volatility of US gross domestic product suddenly declined during the early 1980s and remained low for over 20 years. I develop a labor search model with worker heterogeneity and match-specific costs to show how an increase in the supply of high-skill workers can contribute to a decrease in aggregate output volatility. In the model, firms react to changes in the distribution of skills by creating jobs designed specifically for high-skill workers. The new worker–firm matches are more profitable and less likely to break apart due to productivity shocks. Aggregate output volatility falls because the labor market stabilizes on the extensive margin. In a simple calibration exercise, the labor market based mechanism generates a substantial portion of the observed changes in output volatility.     

Stock-flow matching

We develop the implications of the stock-flow matching model for unemployment, vacancies, and worker flows. Workers and jobs are heterogeneous, so most worker-job pairs cannot profitably match, leading to the coexistence of unemployment and vacancies. Productivity shocks cause fluctuations in the number of jobs, which in turn cause fluctuations in other labor market variables. We derive exact expressions for employment and for worker transition rates in a finite economy and analyze their limiting behavior in a large economy. A calibrated version of the model is consistent with the observed co-movement and volatility of labor market variables.     

The importance of firing costs and the Hosios condition in search models with endogenous job destruction

We construct a DSGE search model with endogenous job destruction, incorporating wage rigidities, firing costs and unemployment benefit. We investigate the most important factors in matching the model’s cyclical properties with empirical data, particularly those of job creation rates (JCR) and job destruction rates (JDR). Firing costs assist significantly in explaining the procyclicality of JCR, the negative correlation of JCR and JDR, and the persistence of vacancies. They also decrease the counter-cyclicality of job turnover. We also postulate that the Hosios condition helps explain the negative correlation of JCR and JDR and vacancies’ persistence. Varying wage rigidities and unemployment income, however, do not improve the results.     

Evaluating the performance of the search and matching model

Does the search and matching model fit aggregate U.S. labor market data? While the model has become an important tool of macroeconomic analysis, recent literature pointed to some significant failures in accounting for the data. This paper aims to answer two questions: (i) Does the model fit the data, and, if so, on what dimensions? (ii) Does the data “fit” the model, i.e. what are the data which are relevant to be explained by the model?The analysis shows that the model fits certain specifications of the data on many dimensions, though not on all. This includes capturing the high persistence and high volatility of most of the key variables, the negative co-variation of unemployment and vacancies, and the behavior of the worker job finding rate. A key role in this fit is played by the convexity of hiring costs and the stochastic properties of the separation rate. The latter is a major component of the rate discounting the future value of the job-worker match.The paper offers a workable, empirically grounded version of the model for the analysis of aggregate U.S. labor market dynamics.     

DIRECTED SEARCH WITH PHANTOM VACANCIES

When vacancies are filled, the job ads often remain, creating phantom vacancies. Older listings more likely represent phantoms. We assume job seekers direct their search based on listing age. Forming a match with an age-a vacancy creates an age-a phantom with probability β and generates an externality affecting vacancies aged a and older. Thus, the externality decreases with the match's listing age. Relative to efficient behavior, job seekers overapply to younger listings. We calibrate using U.S. data. The contribution of phantoms to inefficiency is large, but, given their existence, the planner cannot improve much on the directed search allocation.     

Technology Shocks and Job Flows

We consider a version of the Solow growth model where technological progress can be investment specific or investment neutral. The labour market is subject to search frictions, and the existing productive units may fail to adopt the most recent technological advances. Technological progress can lead to the destruction of technologically obsolete jobs and cause unemployment. We calibrate the model to replicate the high persistence that characterizes the dynamics of firms' neutral technology and the frequency of firms' capital adjustment. We find that neutral technological advances increase job destruction and job reallocation and reduce aggregate employment. Investment-specific technological advances reduce job destruction, have mild effects on job creation, and are expansionary. Hence, neutral technological progress prompts Schumpeterian creative destruction, while investment-specific technological progress operates essentially as in the standard neoclassical growth model. Using structural VAR models, we provide support to the key dynamic implications of the model.     

Cross-country differences in monetary policy execution and money market rates’ volatility

Volatility patterns in overnight interest rates display differences across industrial countries that existing models—designed to replicate the features of individual countries’ markets—cannot account for. This paper presents an equilibrium model of the overnight interbank market that matches cross-country differences in patterns in interest volatility by incorporating differences in how central banks manage liquidity in response to shocks. Our model is consistent with central banks’ practice of rationing access to marginal facilities when the objective of stabilizing short-term interest rates conflicts with another high-frequency objective, such as an exchange rate target.     

Search,shirking and labor market volatility

This paper proposes a modified version of the standard search and matching model of the labour market that includes a shirking mechanism. We show that our model delivers a close match to the simulated volatilities, correlations and autocorrelations of unemployment, vacancies, labour market tightness and the job finding rate with values observed in US data. In doing so, it outperforms prominent alternative models. Our model also has novel policy implications for the impact of income taxes, subsidies on hiring and employment taxes on unemployment and its volatility.     

BUSINESS CYCLES IN THE EQUILIBRIUM MODEL OF LABOR MARKET SEARCH AND SELF‐INSURANCE*

I introduce risk‐aversion, labor‐leisure choice, capital, individual productivity shocks, and market incompleteness to the standard model of labor search and matching and investigate the model’s cyclical properties. I find that the model can generate the observed large volatility of unemployment and vacancies with a reasonable replacement rate of unemployment insurance benefits of 64%. Labor‐leisure choice plays a crucial role through additional utility from leisure when unemployed and further amplification from adjustments of hours worked. On the other hand, the borrowing constraint or individual productivity shocks do not significantly affect the cyclical properties of unemployment and vacancies.     

Trade and inequality in a directed search model with firm and worker heterogeneity

This paper integrates the insight that exporting firms are typically more productive and employ higher‐skilled workers into a directed search model of the labour market. The model generates a skill premium as well as residual wage inequality among identical workers. A trade liberalization increases the skill premium and likely increases residual inequality among high‐skilled workers. The calibrated model generates results consistent with the prior literature examining the effect of the Canada‐US Free Trade Agreement on the Canadian labour market: a significant decrease in employment in manufacturing, but only a small change in unemployment and wages.     

Macroeconomic policy lessons of labor market frictions

The paper explores the consequences of macroeconomic policy for labor market outcomes in the presence of frictions. It shows how policy may be useful in over-riding frictions, as well as how it might generate adverse outcomes. A partial-equilibrium, empirically grounded model is used to simulate policy effects.The key results are that policy has effects on the stochastic behavior of key variables - measures that reduce unemployment also reduce its persistence and increase the volatility of vacancies. Hiring subsidies and unemployment benefits have substantial effects on labor market outcomes, while employment subsidies or wage tax reductions are not very effective policy instruments.     

ECONOMICS OF THE LIVING DEAD*

Zombie firms are those firms that are insolvent and have little hope of recovery but avoid failure thanks to support from their banks. This paper identifies zombie firms in Japan, and compares the characteristics of zombies to other firms. Zombie firms are found to be less profitable, more indebted, more dependent on their main banks, more likely to be found in non‐manufacturing industries and more often located outside large metropolitan areas. Overall, larger size makes the firm less likely to be a zombie, but among small firms, relatively larger firms are more likely to be protected and become zombies. Controlling for profitability, the exit probability for zombie firms does not differ from that for non‐zombies. Zombie firms tend to increase employment by more (but do not reduce employment by more) than non‐zombies. Finally, when the proportion of zombie firms in an industry increases, job creation declines and job destruction increases, and the effects are stronger for non‐zombies.     

Forecasting the Government Bond Term Structure in Australia

In this paper, we evaluate the performance of the dynamic Nielsen and Siegel interest rate model in forecasting Australian government bond yields. We compare a two‐stage OLS estimation procedure to a more powerful and robust state‐space framework estimated via a Kalman filter. We show that the one‐step approach generates smaller forecast errors than the two‐step procedure or a benchmark random walk model when forecasting the Australian government term structure across various horizons.     

Job Creation, Job Destruction, and the International Division of Labor

The authors incorporate equilibrium unemployment due to imperfect matching into a model of trade in intermediate inputs. Firms are assumed to be price‐takers and their size is given by technology. Firms enter the market as long as expected profits cover the search cost they incur initially; jobs are endogenously destroyed by random shocks that affect firms’ price–cost margins. Trade increases productivity in the final good and then demand for each intermediate input. Steady‐state unemployment is reduced after trade integration because the rate of job destruction is reduced, which in turn induces an indirect positive effect on job creation. A more volatile environment faced by firms does not necessarily increase unemployment. However, the rate of job destruction unambiguously rises, and rises more under free trade.     

Measuring Search Frictions Using Japanese Microdata

This paper estimates individual‐level matching functions to measure search frictions in the Japanese labour market and presents the determinants of search duration. We employ administrative microdata that track the job search process of job seekers who left or lost their job in August 2005 and subsequently registered at their local public employment service. Our finding is that the matching function exhibits decreasing rather than constant returns‐to‐scale for job seekers and vacancies. We also find that after controlling for the benefits period, job seekers who lost their job involuntarily were more likely than those quitting voluntarily to exit from unemployment.