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Title: Comments on


1
Comments on Labor Force and Wage Dynamics
  • by French, Mazumder and Taber

2
Discussant dilemma
  • Two approaches
  • Interpret results
  • Focus on methods
  • I follow the latter
  • Results are preliminary
  • Conference to guide revisions

3
Question
  • How do wage and employment dynamics
  • differ over the business cycle?
  • differ across workers?
  • Policy relevance
  • Do recessions affect wage growth?
  • Does welfare to work have potentially large long
    term effects?
  • Do the least advantaged have different dynamics?

4
Overview
  • Methodological issues
  • Data
  • Presentation

5
Methodology
  • General comments
  • Quality is what I expect from these authors
  • Face difficult issues that cant be avoided
  • Technique not for techniques sake

6
Methodology
  • Issue 1-- Returns to Tenure
  • Standard framework--wages grow
  • Within job due to
  • returns to job specific skills (tenure)
  • returns to general skills (experience)
  • Between job due to
  • better job match
  • offset due to lost returns to tenure

7
Methodology
  • Authors dont try to separate returns to tenure
    from returns to experience
  • Im sympathetic since
  • Requires additional strong assumptions
  • Previous studies have shown low returns to tenure
    for less educated
  • But it would be useful to policy community
  • Do welfare recipients lose wage gains when they
    job hop?

8
Methodology
  • Suggestion
  • Change exposition to focus on
  • wage changes within jobs and between jobs
  • rather than on returns to experience and job
    match
  • This is all that is identified in this model
  • Study doesnt provide information on
  • Returns to specific and general human capital
  • Whether policy should encourage or discourage job
    hoping

9
Methodology
  • Issue 2 -separating returns to experience from
    shifts in wages that affect everyone
  • Suppose average wages of workers increase by 4
  • Does this reflect
  • returns to experience (and tenure)?
  • aggregate shifts that affect everyone?
  • Answer important given focus on cycle

10
Methodology
  • Authors
  • Reject using non-employed to get time effects
  • unemployed not proper control group
  • Propose using new entrants to get time effects
  • Assumes
  • Quality of entrants is independent of cycle
  • Quality of match is independent of cycle
  • Suggestion
  • Parameterize time effects by trend and cyclical
    var
  • This is identified
  • Dont need to assume parameters change annually
  • Can test rather than eyeball cyclical patterns

11
Methodology
  • Issue 3 Selection
  • Wages increase if
  • workers earn more
  • low wage workers drop out
  • Solution requires identifying assumption
  • Authors assumption work is independent of
  • Cyclical variation in wages
  • make hay while the sun shines
  • Job match
  • make hay when farm next door offers job
  • No suggestion for this problem

12
Data
  • Use 1984 to 2001 SIPP panels
  • Good information on
  • Wages
  • employer
  • Problem with monthly data
  • Seam bias
  • 96 and 01 panels collect employer id only once a
    wave
  • Suggestion treat wave as unit of observation

13
Presentation
  • Provide better evidence on cyclicality of series
  • Currently cycle is in the eye of the beholder
  • Indicate recessions
  • Plot confidence intervals
  • Parameterize trend and cycle
  • Provide links to trend and cycle in wage
    inequality

14
Presentation
  • Provide information on diversity within education
    groups
  • Does mean experience of education group apply to
    most members?
  • Are most (all) welfare recipients likely to have
    same experiences as average experience of
    dropouts?
  • Previous evidence suggests not
  • Non-managerial job in food industry
  • In poor family

15
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16
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17
Presentation
  • Suggestion
  • Show percentiles of distributions
  • Quantile regressions

18
Conclusion
  • Study addresses important question
  • Difficult issues
  • Well addressed by authors
  • Technique is necessary
  • Cross--tabs wont do
  • Early draft that should lead to good paper
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