انباشت سرمایه انسانی و فرضیه تغییرات بخشی برای گروه های سنی مختلف
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|18444||2004||7 صفحه PDF||سفارش دهید||2768 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Mathematics and Computers in Simulation, Volume 64, Issues 3–4, 11 February 2004, Pages 459–465
This paper examine Lilien’s sectoral shifts hypothesis for Japan for different age cohorts. Previous studies of the sectoral shifts hypothesis for Japan have for the most part concentrated on the relationship between aggregate unemployment and sectoral shifts, and are typically not supportive of the hypothesis. However, recent increases in the unemployment rates of the young and the aged suggest a need to reexamine the hypothesis for different age groups. It is found that sectoral shifts have a short-term positive effect on the unemployment of aged male workers, and that the effects increase in times of recession.
The purpose of this paper is to test the sectoral shifts hypothesis for the unemployment rate of males aged 15–24 and 55–64 years in Japan. Lilien’s sectoral shifts hypothesis asserts that sectoral shifts of demand affect unemployment because labour reallocation across sectors is a time consuming process . The focus on the impact of sectoral shifts on unemployment in different age groups is the major novelty of this paper. Using annual post-war data for the United States, Lilien  estimated a reduced form unemployment equation that included current and lagged values of a cross-sectoral dispersion measure (Lilien’s sigma) and a monetary disturbance measure. Following Lilien’s  finding of a statistically significant positive relationship between the dispersion measure and the unemployment rate, the debate on this issue in the United States has concentrated on the appropriate way to measure sectoral shifts and the importance of stage-of-business cycle effects , ,  and . Abraham and Katz  and  argue that aggregate demand disturbances can induce countercyclical movements in Lilien’s dispersion measure. When Lilien’s sigma is purged of the influence of aggregate demand shocks, Abraham and Katz  find that this purged proxy variable can explain only a small fraction of unemployment fluctuations in the United States. In contrast, Davis  suggests that Lilien’s sigma fails to take into account the possibility of stage-of-business-cycle effects on the sectoral shifts hypothesis. If the value of foregone production associated with unemployment is procyclical, then there will be incentives for unemployment spells to be shorter during expansions and longer during recessions. Therefore, a given amount of labour reallocation may lead to underestimating unemployment when aggregate macroeconomic conditions are improving and vice versa. Taking these suggestions into consideration, Mills et al.  provide evidence to support the sectoral shifts hypothesis for the United States. In contrast, the evidence for Japan does not support the sectoral shifts hypothesis for the aggregate unemployment rate  and . However, Sakata  finds that sectoral shifts affect male unemployment, but not female unemployment, and speculates that gender differences in the accumulation of human capital may play a crucial part in explaining these differences. Sakata’s  findings suggest that it is important to examine Lilien’s hypothesis for different cohorts, and that the findings for the aggregate unemployment rate can be deceptive. If as Sakata  speculates the effects of sectoral shifts on unemployment depend on the accumulation of industry-specific human capital by workers, then sectoral shocks may have a large impact on older workers who have accumulated large amounts of human capital. In contrast, sectoral shocks may have a small (or no) impact on young workers who have yet to accumulate very much human capital. Sakata  indicates that there are gender differences in the effects of sectoral shocks on unemployment, and therefore, the analysis will focus on male unemployment. Unemployment rates of male workers in the age groups 15–24, U15, and 55–64, U55, are significantly higher than the aggregate unemployment rate, U, and this difference seems to be widening recently (Fig. 1). In the context of the aging population and casualisation of the youth workforce, it is important to scrutinize the effects of sectoral shifts on these two groups. Full-size image (9 K) Fig. 1. Plots of unemployment rates. Figure options In this paper, incorporating criticisms of Lilien’s  in previous studies, the sectoral shifts hypothesis is tested for males aged 15–24 and 55–64 years using Lilien’s dispersion index and a purged index, and tests for stage-of-business-cycle effects are conducted. There are two important findings. First, although sectoral shifts do not have any long-term impacts on unemployment, they do have positive and significant effects on the unemployment of old males in the short-term. Second, each unemployment rate, the aggregate unemployment rate and the unemployment rates of males aged 15–24 and 55–64 years, are strongly influenced by the stage of the business cycle. The plan of this paper is as follows. In order to obtain estimates of the expected and unexpected components of money growth, a money growth equation is specified and estimated in Section 2. Tests of the sectoral shifts hypothesis for the aggregate unemployment rate and the male unemployment rate of two age groups are conducted in Section 3. Section 4 explores the possibility that the stage of the business cycle has an effect on labour reallocation. Section 5 provides some concluding remarks. Appendix A provides details of the data used.
نتیجه گیری انگلیسی
In contrast to the previous studies for the United States, earlier studies for Japan have not supported the sectoral shifts hypothesis for the aggregate unemployment rate. However, Sakata  provides evidence that in Japan, the findings for aggregate unemployment can be misleading because sectoral shocks have affects that appear to differ according to workers’ levels of industry- and firm-specific human capital accumulation. Following Sakata’s analysis of unemployment rates by gender, this paper has examined the unemployment of males in two age groups, 15–24 and 55–64 years, whose accumulation of human capital should differ greatly. Although, sectoral shifts do not have any long-term impacts on unemployment, the findings of this paper support the hypothesis that sectoral shifts have significant positive effects on the unemployment of old males in the short-term. In addition, the aggregate unemployment rate and the unemployment rate of males aged 55–64 and 15–24 are strongly influenced by the stage of the business cycle. These findings suggest that policy judgments based on an analysis of aggregate unemployment may be blind to the actual impacts of sectoral shifts on different cohorts.