Recitation 9: Empirical Evidence on Labor Market Dynamics. 1. Unemployment and Vacancies over the Business Cycle



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Transcription:

14.461: Advanced Macroeconomics I Suman S. Basu, MIT Recitation 9: Empirical Evidence on Labor Market Dynamics Part II of 14.461 covers topics in the macroeconomic analysis of labor markets. The purpose of this recitation handout is to familiarize you with the empirical evidence concerning the following issues: Dynamic behaviour of unemployment over the business cycle Unemployment-vacancy relationship Job nding and job separation rates Job creation and job destruction 1. Unemployment and Vacancies over the Business Cycle This section focuses on the cyclical behaviour of unemployment and vacancies. 1.1 Unemployment Dynamics in the US Economy The graph below is reproduced from Shimer (NBER WP, 2003) and illustrates the behaviour of unemployment in the US during 1951-2001. It is clear from the gure that unemployment is not purely driven by transitory business cycle shocks. Rather, there are more persistent shocks to the unemployment rate. How can we explain the uctuations in the unemployment rate? Which variables are the key driving forces behind labor market ows into and out of unemployment? In Section 2, I consider some empirical evidence that has been brought to bear upon this matter. 1

1.2 Unemployment Dynamics in European Countries Unemployment has evolved di erently across countries, even in response to similar shocks. In particular, US and European unemployment rates have diverged. While in the 1970s European unemployment was consistently below the US level, during the 1980s and 1990s European unemployent rates have far exceeded those in the US. In large part this has been due to substantial persistence of European unemployment in the wake of recessionary shocks. The diagram from Siebert (1997) below illustrates. The gure below shows the signi cant heterogeneity of unemployment rates within Europe since the early 1980s. France and Germany have among the highest and most persistent rates. Unemployment rates in countries like Denmark and the UK are currently lower, and historically they have shown less persistence. Figure: Unemployment in European Countries Source: OECD Statistical Compendium 14 12 Unemployment Rate (%) 10 8 6 4 Denmark Germany France UK 2 0 1980 1985 1990 1995 2000 2005 Year 1.3 Note on Unemployment in Non-OECD Economies Non-OECD countries have yet more varied unemployment responses to shocks. illustrated below: The Argentinian case is Figure: Unemployment in Argentina Source: OECD Statistical Compendium 25 20 Unemployment Rate (%) 15 10 5 0 1975 1980 1985 1990 1995 2000 2005 Year For the remainder of the handout, I restrict my attention to unemployment in the US. 2

1.4 Unemployment-Vacancy Relationship The Beveridge Curve plots the relationship between the unemployment rate and the vacancy rate. The graph for the US is presented below. There is a clear downward sloping relationship between the two variables. The interpretation of this diagram has been controversial. In particular, macroeconomists have attempted to use the empirical Beveridge curve to discriminate between categories of explanations for unemployment uctuations. I summarize the arguments brie y here. Blanchard and Diamond (1983) divide the driving shocks of the economy into reallocation and aggregate productivity shocks, and consider a simple search model. Reallocation shocks would tend to increase job in ows and out ows across all industries. Workers become unemployed in the transition between jobs; and jobs become temporarily vacant as rms search for workers. Therefore, vacancies and unemployment should comove. A positive aggregate productivity shock, on the other hand, would tend to reduce the unemployment rate as more worker obtain employment in the expanding goods sector, and higher productivity rms would o er post more vacancies. Therefore, vacancies and unemployment should have negative correlation. They use the empirical evidence captured in the above diagram to argue that aggregate productivity shocks are a more important explanation of unemployment uctuations than reallocation shocks. Caballero and Hammour (1996) argue that even reallocation shocks will produce downward sloping Beveridge curves if there is incomplete contracting and concomitant appropriability problems. You will study this approach in more detail in 14.454. The comovement of the US vacancy-unemployment ratio and average labor productivity is presented in the diagram below, again from Shimer (2003). The comovement is in the direction implied by the arguments above. However, Shimer actually argues in the paper that the magnitude of the uctuations in average labor productivity is an order of magnitude too small to fully account for the variation in the vacancyunemployment ratio. 3

2. Job Finding/Separation and Job Creation/Destruction This section examines proximate determinants of the uctuations in the unemployment rate. 2.1 Job Finding and Job Separation Rates The value of an unemployed worker is the net present value of the bene t of search, less its cost. The bene t of search depends upon the job nding probability f, which corresponds to the number of hires divided by the number of unemployed workers. The value of an employed worker must take into account that the worker can become unemployed again if he is separated from his rm. The job separation probability s, which corresponds to the number of layo s divided by the number of employed workers, will enter his e ective discount rate. The transition equation for unemployment rate can be written as follows: u = fu + s(1 u) which means that the steady state unemployment rate is given by u = s s + f The steady state unemployment rate will change if either f or s or both change. Conventional wisdom has maintained that job destruction rather than job creation has been the main factor behind net job losses behind recessions. Much of the empirical evidence until quite recently was based upon manufacturing data. Shimer (2005) has recalculated job nding and job separation probabilities using the rotating panel of the Current Population Survey (CPS) dataset from the Bureau of Labor Statistics (BLS). His data is presented below: The job nding probability is strongly procyclical while the job separation rate is acyclical. He then constructs arti cial series for the unemployment rate under two assumptions: (i) Only job nding probabilities vary as in the data but job separation is constant; (ii) Only job separation probabilities vary as in the data but job nding is constant. The generated graphs are presented on the next page. Shimer views this as evidence for the proposition that variations in the job nding probability are the proximate factor behind unemployment uctuations. 4

Of course, job nding/separation and job creation/destruction are not identical objects. 5

2.2 Job Creation and Job Destruction The method of calculation of the job nding and separation rates is not innocuous. The job nding rate is the number of hires divided by the number of unemployed. It is possible that the denominator contributes signi cantly to volatility in this ratio. The job separation rate is the number of layo s divided by the number of employed workers. The denominator in this case is very large, rendering any changes in layo s hardly noticable. Because of this, a procyclical job nding rate and an acylical job separation rate is consistent with the proposition that job destruction accounts for unemployment uctuations but adjustment in the economy is slow so that hiring does not respond much. This observation limits how far Shimer s analysis can deconstruct the conventional wisdom. The argument in this section has been taken from Professor Caballero s chapter manuscript. Davis, Haltiwanger and Schuh (1998) present evidence regarding job creation and destruction: Shimer (2005) displays the recalculated series for the period after 1992: 6

3. References The gures and tables presented above have been reproduced from the following books and papers: Steven J. Davis, John C. Haltiwanger and Scott Schuh, "Job Creation and Destruction," MIT Press (1998). Robert E. Hall (2003), "Modern Theory of Unemployment Fluctuations: Empirics and Policy Applications," American Economic Review (Papers and Proceedings) 93:145-150. Horst Siebert (1997), "Labor Market Rigidities: At the Root of Unemployment in Europe," Journal of Economic Perspectives, 11(3): 37-54. Robert Shimer (2003), "The Cyclical Behavior of Equilibrium Unemployment and Vacancies:," NBER Working Paper 9536, subsequently published in American Economic Review, 95(1): 25-49. Robert Shimer (2005), "Reassessing the Ins and Outs of Unemployment," Working Paper presented at NBER Summer Conference 2005. 7