Distributional Impact of the Great Recession on Industry Unemployment for 1976-2011

Yelena Takhtamanova, Eva Sierminska
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Abstract

The recession the United States economy entered in December of 2007 is considered to be the most severe downturn the country has experienced since the Great Depression. In this paper we decompose the changes in the unemployment rate by examining worker flows into and out of unemployment during the last four recessions in the United States with a special focus on the industry groups. Since the most recent economic downturn has been triggered by the collapse of the housing market, we are interested in looking at the industries that are most affected by the housing market weakness (such as construction and finance, insurance and real estate). In addition to documenting and comparing industry experiences and industry contributions to the aggregate unemployment rate changes, we attempt to evaluate the relative importance of cyclical and structural forces driving industry-specific unemployment rate changes. This question is of importance to policymakers as cyclical and structural changes call for different policy responses. We use publicly available data from the Current Population Survey (CPS). Three series are necessary to compute the unemployment inflow and outflow rates by industry: the number of unemployed, the unemployment rate and the number of short-term unemployed (those unemployed for less than 5 weeks). These series for the broadest industry classification are available from BLS, but only from 2000. We obtain data that goes back beyond 2000 and reclassify according the BLS guidelines. Our task is complicated by the change in industry classification of the CPS in 1983 and 2003 and the 1994 re-design of the CPS survey. We extend our data further back and look at a finer disaggregation, which allows us to make comparisons previously not possible. We find that construction, manufacturing and services were the three industries that contributed the most to the aggregate unemployment rate increase during the most recent downturn. However, the burden of unemployment was not evenly distributed across these industries: while the contribution of construction and manufacturing by far exceeded their share in the labor force, the opposite is the case for services. During the recovery, construction and manufacturing are strong "drivers" of the unemployment rate decline, but services are not. In terms of job flows, the dramatic decline in the job finding probability was the main source of the recessionary unemployment rate increase. In particular, the decline in job finding probability in services, manufacturing, construction and wholesale and retail trade were large contributors. It is the lack of strong recovery in job finding probability that seems to be holding unemployment rate from declining more rapidly during the recovery. Services and public administration stand out as sectors that provided relief in the past recoveries, but are not doing so this time around.
1976-2011年大衰退对工业失业的分配影响
美国经济在2007年12月进入的衰退被认为是大萧条以来美国经历的最严重的衰退。在本文中,我们通过研究美国过去四次经济衰退期间工人流入和流出失业的情况来分解失业率的变化,并特别关注工业群体。由于最近的经济衰退是由房地产市场的崩溃引发的,我们有兴趣关注受房地产市场疲软影响最大的行业(如建筑、金融、保险和房地产)。除了记录和比较行业经验和行业对总失业率变化的贡献之外,我们还试图评估驱动行业特定失业率变化的周期性和结构性力量的相对重要性。这个问题对政策制定者来说很重要,因为周期性和结构性变化需要不同的政策回应。我们使用来自当前人口调查(CPS)的公开数据。按行业计算失业流入和失业流出率需要三个序列:失业人数、失业率和短期失业人数(失业时间少于5周)。这些最广泛行业分类的系列数据来自劳工统计局,但仅限2000年。我们获得2000年以后的数据,并根据劳工统计局的指导方针重新分类。由于1983年和2003年CPS行业分类的变化以及1994年CPS调查的重新设计,我们的任务变得更加复杂。我们将数据进一步回溯,并查看更精细的分类,这使我们能够进行以前不可能进行的比较。我们发现,在最近一次经济衰退期间,建筑业、制造业和服务业是对总失业率增长贡献最大的三个行业。然而,失业的负担并不是均匀地分布在这些行业中:虽然建筑业和制造业的贡献远远超过了它们在劳动力中的份额,但服务业的情况正好相反。在经济复苏期间,建筑业和制造业是失业率下降的强劲“驱动力”,但服务业不是。在就业流动方面,就业概率的急剧下降是衰退性失业率上升的主要原因。特别是,服务业、制造业、建筑业和批发零售业的就业机会下降是主要原因。似乎正是在就业机会方面缺乏强劲的复苏,阻碍了失业率在复苏期间更快地下降。在过去的经济复苏中,服务业和公共行政部门起到了缓解作用,但这次却没有起到作用。
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