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Older workers' commitment and the employment relationship: some theory ... Sourcebook of Labour Markets, Kluwer Academic/Plenum. ... – PowerPoint PPT presentation

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Title: Work Orientations of Older Workers:


1
Work Orientations of Older Workers Change from
1992 to 2000 WAM-Net Seminar Orientations to
and Experiences of Work Cardiff School of Social
Sciences Cardiff University 15 October
2008 Michael White
2
Overview
  • Some theory about older workers
  • Some theory about change its effects on work
    orientations
  • Modelling change
  • Methods
  • Results
  • Conclusions

3
Older workers commitment and the employment
relationship some theory
Etzioni (19611975) employees in commercial
organizations have calculative commitment and
their employers have remunerative power over
them. Edwards, R. (1979) theory of
bureaucratic control and case evidence of
deferred compensation practices. Lazear (1981
1995) principal-agent theory of deferred
compensation for employees under costly
monitoring ? overpayment of older employees
relative to productivity or effort.
4
Marketization a changing relative position for
older workers?
  • Sørensen (2000 2001) increase in market
    competition and short-term market relations tends
    to eliminate employee rents, notably those
    based on class.
  • Lazear (1998) employment practices based on
    employer reputation (trust) can no longer be
    relied upon.
  • Such arguments also suggest a deterioration in
    the terms of the relational contract for older
    employees.
  • - e.g., reduction in deferred compensation levels
    or in indulgency toward lower productivity/effort
    with ageing ? LOWER COMMITMENT

5
Declining rents of older (45) employees?
  • 1992 2000
  • f. m. f. m.
  • any unempt last 5 yrs. 4.9 9.8 11.7 12.1
  • mean weekly hours 29.3 41.8 32.0 44.2
  • high-pressure HRM practices 3.1 4.3 3.7
    4.8
  • Sources Employment in Britain survey (1992),
    Working in Britain survey (2000).

But these observations have ve as well as ve
interpretations!
6
Assessing change in the commitment of older
employees
  • Assume that 1990s was a period of increasing
    marketization and competition. The hypothesis is
    that the commitment of older employees declines
    over this period relative to less-old employees
    because the former had expectations of seniority
    rents that have not been met (and these
    expectations do not apply to the less-old group).
  • A relevant analytical model is differences in
    differences see treatment effects literature,
    e.g. Heckman and Robb (1985).

7
The Differences in Differences (DiD) Model
  • Ignoring individual subscripts, for the present
    case the OLS framework is
  • Yß0 ß1age1 ß2time1 d1age1time1 u
  • where Y is the outcome and age and time are
    dummies.
  • Note that d1(Ya1,t1-Ya1,t0) (Ya0,t1-Ya0,t0)
  • (Ya1,t1-Ya0,t1) (Ya1,t0-Ya0,t0)
  • where the subscripted Ys are (age x time)
    subgroups mean outcomes.

8
DiD some properties and limitations
  • DiD removes unobserved fixed effects that are
    invariant by time, and unobserved time-varying
    effects that are invariant by group.
  • BUT to deal with group compositional changes that
    are time-varying, DiD also requires inclusion of
    appropriate control variables (X).
  • HERE, participation is likely to be affected by
    labour market conditions, possibly to varying
    degree by age group. E.g., those with low
    commitment may be more likely to exit or be
    excluded in recessionary periods ? selectivity
    problem.

9
OLS and the alternative method of matching
  • Can use OLS to correct selectivity bias if (a)
    selection is on observables (b) no inference to
    excluded subpopulation.
  • OLS involves extensive assumptions. Matching is
    related to OLS, but with fewer assumptions.
  • Cases that cannot be matched are omitted ? only
    like cases are compared. (cf. sample trimming in
    OLS)
  • Matching has some advantages and some
    disadvantages compared with OLS regression. HERE,
    matching is included alongside OLS in exploratory
    mode as sensitivity analysis.
  • See Heckman et al. 1997.

10
Methods 1
  • Data national British samples of employees aged
    20-60 from Employment in Britain survey 1992
    (EIB) and Working in Britain Year 2000 survey
    (WIB).
  • Age groups 20-44, 45-60.
  • Chief Y variables Organizational commitment
    (6-item summative scale), Employment attachment
    (binary).
  • Additional Y variables Various dissatisfaction
    measures.
  • Selectivity variables (Xs) From standard labour
    supply concept - see later.
  • Analysis (a) OLS regression?DiD (b) Exact
    matching ?DiD.

11
Methods 1a OC scale
  • I would work harder than I have to, in order to
    help this organisation succeed
  • I feel very little loyalty to this organisation
    reversed
  • Id take almost any job to stay with this
    organisation
  • I find that my values and the organisations
    values are very similar
  • Im proud to be working for this organisation
  • Id turn down a job with better pay to stay with
    this organisation
  • Responses strongly agree, agree, disagree,
    strongly disagree dont know
  • Cronbach alpha 0.79.
  • Sources Mowday-Porter OCQ (see Price 1997)
    Lincoln and Kalleberg (1990).

12
Methods 2 labour supply variables
  • Age group
  • Gender
  • Highest educational qualification (4 categories)
  • Class (3 categories)
  • Any unemployment in last 5 years (dummy)
  • No partner partner not employed partner
    lower occupation partner higher occupation
  • Dependent child in household (dummy)

13
Methods 3 exact matching
  • Form cross-classification of the labour supply
    variables in each survey.
  • Weight each EIB cell such that its weighted entry
    is equal to the corresponding unweighted WIB
    entry.
  • Drop any cell with zero entry in either survey
    from both surveys (losing 5.9 of EIB and 5.6 of
    WIB).
  • Compute marginal means, differences etc.
  • This procedure reconstructs EIB to correspond to
    WIB on the chosen variables, including all
    high-order interactions.

14
Results (1) Older workers organizational
commitment OLS ? DiD
Notes. OC is 6-item summative measure, with
higher score? more positive attitude. Robust
estimation estimated standard errors in
parentheses.
15
Results (2) Older workers employment
attachment (EA) Probits ? DiD
Notes. EA is binary, 1would continue working
even if financially independent. Probit models
with robust estimation marginal effects,
standard errors in parentheses.
16
Results (3) Dissatisfaction measures OLS for DiD
Basic controls each cell separate analysis.
Coeffs. are over44 x 2000, highmore dissat.
Interval measurement assumption.
17
Results (4) Older workers organizational
commitment DiD, exact matching
18
Results (5) DiD-exact match v. DiD-regression
19
Conclusions - theory
  • Organizational commitment for older (45-plus)
    employees fell relative to those aged 20-44, over
    the 1992-2000 period.
  • There was a relative increase in dissatisfaction
    with hours and workload for the older group, over
    the same period.
  • These findings were common to women and men.
  • This is evidence for a (perceived) decline in the
    rents obtainable by older employees.
  • But there was no reduction in employment
    attachment, and no relative increase in
    dissatisfaction with pay or security, for older
    employees.
  • ?Relative deterioration in contract, not labour
    market, and on the side of effort, not reward.

20
Conclusions - Methods
  • Adding variables to the OLS specification made
    negligible differences to estimates.
  • Estimates obtained by exact matching were often
    different in magnitude (but not in sign) from
    those produced by OLS.
  • Exact matching for DiD may offer a useful
    alternative or supplement to OLS-DiD where the
    number of relevant variables is small.

21
References
  • Edwards, R. (1979) Contested Terrain The
    transformation of the workforce in the twentieth
    century, Basic Books.
  • Etzioni, A. (1975 1961) A Comparative Analysis
    of Complex Organizations, revised edition, Free
    Press.
  • Heckman, J., Ichimura, H. and Todd, P. (1997)
    Matching as an econometric evaluation estimator,
    Review of Economic Studies, 65 261-294.
  • Heckman, J. and Robb, R. (1985) Alternative
    methods for evaluating the impact of
    interventions, in Heckman, J. and Singer, B.
    (eds.) Longitudinal Analysis of Labor Market
    Data, Cambridge University Press.
  • Lazear, E. (1981) Agency, earnings profiles,
    productivity, and hours restrictions, American
    Economic Review, 71 606-20.
  • -- (1995) Personnel Economics, MIT Press.
  • -- (1998) Personnel Economics for Managers,
    Wiley.
  • Price, J.L. (1997) Handbook of organizational
    measurement, International Journal of Manpower,
    18 303-553.
  • Sørensen, A.B. (2000) Toward a sounder basis for
    class analysis, American Journal of Sociology,
    105 1523-58.
  • -- (2001) Careers and employment relations, in
    Berg, I. and Kalleberg, A.L. (eds.) Sourcebook of
    Labour Markets, Kluwer Academic/Plenum.
  • For EIB survey, see Gallie, D., White, M., Cheng,
    Y. and Tomlinson, M. Restructuring the Employment
    Relationship, Oxford University Press, 1998.
  • For WIB survey, see McGovern, P., Hill, S.,
    Mills, C. and White, M. Market, Class, and
    Employment, Oxford University Press, 2007.

22
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