Accounting for migration in regional occupational employment projections

被引:4
|
作者
Sweeney, SH [1 ]
Goldstein, HA
机构
[1] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
[2] Univ N Carolina, Dept City & Reg Planning, Chapel Hill, NC 27599 USA
来源
ANNALS OF REGIONAL SCIENCE | 2005年 / 39卷 / 02期
关键词
D O I
10.1007/s00168-004-0221-x
中图分类号
F [经济];
学科分类号
02 ;
摘要
Occupational employment projections are one of the primary products produced by state labor market information agencies to assist with state and regional job training and worker assistance programs. In theory, the information from occupational employment forecasts should improve both interregional and intertemporal labor market efficiency through better matching between training efforts and job openings. Until recently, the projections methodology was predominantly a demand-requirements approach that failed to incorporate important labor supply effects and interstate/interregional dependencies. Recent research has focused on improving the labor supply specification. This paper reports on one such effort to evaluate the importance of interstate occupational migration and to develop methods to incorporate migration into the existing projections methodology. Initial results indicate that the total number of estimated job openings by occupation have to be revised significantly upwards when migration is taken into account.
引用
收藏
页码:297 / 316
页数:20
相关论文
共 50 条
  • [1] Accounting for migration in regional occupational employment projections
    Stuart H. Sweeney
    Harvey A. Goldstein
    The Annals of Regional Science, 2005, 39 : 297 - 316
  • [2] OCCUPATIONAL EMPLOYMENT PROJECTIONS
    SILVESTRI, G
    LUKASIEWICZ, J
    MONTHLY LABOR REVIEW, 1991, 114 (11) : 64 - 94
  • [3] Occupational employment projections to 2012
    Hecker, DE
    MONTHLY LABOR REVIEW, 2004, 127 (02) : 80 - 105
  • [4] Occupational employment projections to 2018
    Lacey, T. Alan
    Wright, Benjamin
    MONTHLY LABOR REVIEW, 2009, 132 (11) : 82 - 123
  • [5] Occupational employment projections to 2008
    Braddock, D
    MONTHLY LABOR REVIEW, 1999, 122 (11) : 51 - 77
  • [6] Occupational employment projections to 2022
    Richards, Emily
    Terkanian, Dave
    MONTHLY LABOR REVIEW, 2013,
  • [7] Occupational employment projections to 2010
    Hecker, DE
    MONTHLY LABOR REVIEW, 2001, 124 (11) : 57 - 84
  • [8] Occupational employment projections to 2016
    Dohm, Arlene
    Shniper, Lynn
    MONTHLY LABOR REVIEW, 2007, 130 (11) : 86 - 125
  • [9] Occupational employment projections to 2024
    Richards, Emily
    MONTHLY LABOR REVIEW, 2015,
  • [10] Occupational employment projections to 2006
    Silvestri, GT
    MONTHLY LABOR REVIEW, 1997, 120 (11) : 58 - 83