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Topic 2 - Estimating the changing extent of gender discrimination Professor Christine Greenhalgh. P Cahuc and A Zylberberg (2004) Labor Economics, Chapter 5 Compensating Wage Differentials and Discrimination, part 4.
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Topic 2 - Estimating the changing extent of gender discriminationProfessor Christine Greenhalgh P Cahuc and A Zylberberg (2004) Labor Economics, Chapter 5 Compensating Wage Differentials and Discrimination, part 4. A Manning (2003) Monopsony in Motion, Chapter 7: Gender Discrimination in Labor Markets. A Manning and J Swaffield (2008), ‘The gender gap in early-career wage growth’, The Economic Journal Vol. 118 No. 530 July. The Economic Journal (2008) Vol. 118 No. 526 February, Feature: Women’s Part-Time Work. This includes five articles examining several aspects of the topic. See especially the two articles by M Gregory and S Connolly and one by Manning and Petrongolo.
Wage Differentials – Fair and Unfair • Cahuc and Zylberberg outline compensating differentials arising under perfect competition • Describe this as ‘Hedonic Theory of Wages’ • In this case all differentials are fair rates • Monopsony can be serious barrier to operation of perfect competition – here differentials are not perfectly related to marginal productivity • But Manning in ‘Monopsony in Motion’ was unable to find dramatic differences in M and F labour supply elasticities to firms • Reason – two offsetting effects – F less likely search widely among employers, but F more likely to quit into non-participation
Discrimination - Which gender pay gap to look at? • Many women take on the role of carers for children, disabled and elderly • Expect these women to have gaps in employment and/or to work part-time • Anticipation of events such as family formation can cause women to make • lower investments in human capital and • choices of occupations compatible with caring • Differences in current gross hourly earnings reflect these choices
Gender differences in human capital investment • Experience accumulation is lower • On-the-job training may be below men • Pre- entry differences in quantity and type of formal education • Choice of first job indicative of future career • Survey evidence of ambition/attitudes to work
M & F employment rates by age in 1979 & 2002 Source: see next slide
Gender wage gaps by age and education 2002 Source: Previous and this slide: Data from UK LFS, as shown in H Robinson Ch 15 of The Labour Market Under New Labour, eds. Dickens, Gregg, Wadsworth 2003
Wage decomposition techniques Estimating wage equations (hedonic) ln w = xβ + eα + ε w is hourly wage x is vector of personal characteristics e is vector of characteristics of job ε is random error β vector of coefficients on personal variables α is vector of coefficients on job variables
The Blinder-Oaxaca Method of Estimating Discrimination • Estimate separate wage equations for males M and females F • Simplify notation to include both x and e variables in X list ln w = X β + ε • Gap between male and female wages is due to differences in characteristics X • Plus differences in rewards for given X ln wM – ln wF = (XM – XF) βM + XF(βM - βF ) Second element is estimate of discrimination D
Measurement problems and alternative estimators • In wage regressions if have omitted characteristics such as motivation and commitment to career –> this would overstate D • If fewer very low paid women chose to work then don’t observe those with lowest wage offers –> this would understate D • Alternative direct estimators hard to find but Goldin and Rouse orchestra auditions is a classic controlled experiment • Introduction of ‘blind auditions’ in 1970s & 80s for major US symphony orchestras led to more women being hired
Early evidence for the UKSource Greenhalgh EJ Vol.90 1980 Using Blinder-Oaxaca decomposition - Unexplained differentials 1971 Married to single men 14% Single men to single women 24% Single women to married women 3% Unexplained differentials 1975 Married to single men 10% Single men to single women 10% Single women to married women 12%
Recent study of labour force entrants in 1990s • Manning and Swaffield EJ 2008 article • Uses BHPS data 1991-2002 (large representative dataset) • Gender pay gap on entry is zero – equality at the start • 10 years later gender pay gap has emerged during early careers • Gap continues to widen reaching a maximum at c. age 40 • Later birth cohorts show smaller gaps than earlier ones but still significant
How big is early career gap? • Early career = up to 10 years in labour force • Manning and Swaffield characterise wage gap after ten years as ‘25 log points’ • Means that log ratio male to female wages is 0.25 • Exponentiating gives the actual ratio as 1.28 • So men’s wages have grown faster to reach level 28% above females by ten years after labour market entry
What explains this early career gap? Three broad factors: • Human capital differences Some women intermit or work part-time Do men also get more training? • Job-shopping Do men change jobs to find right niche? • Psychological differences Are men more ambitious?
Decomposition Results(in log points) • Gap after ten years 25 • Human capital 11 Work experience 6.5 Training 4.5 • Job shopping 1.5 • Psychology 4.5 • Unexplained 8
Explaining gender differences in skills acquisition • Gender gap in training is driven by the pattern among the less skilled • More early school leaver men than women enter apprenticeships • Among graduates women get more training than men • Choices of entry occupations do differ but this is not the deciding factor for differences in wage growth (provided get training)
The Work-Life Balancing Act • Gregory & Connolly EJ Feb 2008 title piece ‘The price of reconciliation…’ • Good News • More women in further and higher education • Labour force attachment is strengthening • Moving into an expanding range of occupations • Bad News • Pay gap between Full- and Part-time women widening steadily • Part-time jobs polarised in low-paid occupations • Legislation does not address this inequality
The Part-Time Pay PenaltyManning and Petrongolo EJ Feb2008 • PTPP was 14% in 1975 rising to 28% in 1995 after which no clear trend Estimating the factors accounting for this gap • Can explain majority of gap using characteristics of person and of their job • Occupation is by far the biggest – explains 70% In rank order other characteristics are: • Education, Industry, Employer size and Region • Within occupations the part time pay penalty is quite small
Moving Down – Part-Time Work and Occupational Change • Connolly and Gregory analyse women moving from FT to PT working • Look at average qualification level by occupation and rank jobs by skill level • Between 14% and 25% of women moving to PT work move to a lower skill occupation • Worst affected are former managers • Least affected are those staying with same employer • Downgrading constitutes a ‘hidden brain drain’
Policy Options Minimum Wages: • Since 1999 when UK MW was introduced can see small effects on wages of both FT and PT women • Relative gain for PT women very small Equal Treatment: • Legislation in 2000 ensures PT cannot be treated less favourably than FT • Not very effective because major gap is across occupations not within
More Policy Options Rights to Flexible Working: • From 2003 legislation requires employers to consider seriously requests to change hours • Applies only to parents of children aged < 6 • Can refuse; some evidence higher paid women get more refusals Employer Reviews of Equal Pay • Government has encouraged employers to conduct reviews within organisations • So far this is voluntary
Policy movement in the recession? • Article in The Guardian 16 March 2009: “Equal pay is a step too far in recession, says rights body” heading • Equalities and Human Rights Commission says equal pay reviews should not be forced on employers in recession, keep voluntary • TUC’s equality department begs to differ, saying pay audits are a crucial part of eliminating the pay gap • Unison (large public sector trade union) claims voluntary approach has not worked