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Causal effects on employment after first birth - A ... - University of York

Causal effects on employment after first birth - A ... - University of York

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Specifically, we run the following regressi<strong>on</strong> <strong>of</strong> the outcome Y <strong>after</strong> the beginning <strong>of</strong>treatment(3)Y j,age = α + x j β + γT j + T j (x j − ¯x)δ + u j ,where x j denote the observable characteristics c<strong>on</strong>sidered, i.e. educati<strong>on</strong>al dummies, and ¯xcorresp<strong>on</strong>ds to the sample average am<strong>on</strong>g the treated. The outcome measurement Y i,age isrecorded <strong>on</strong>ce for a treated woman i and carries a weight <strong>of</strong> 1. The outcome measurementY j,age(i) for a n<strong>on</strong>treated woman j is recorded as many times as she can be used as ac<strong>on</strong>trol observati<strong>on</strong> for a treated woman i (each time aligned in age to i). Each singlemeasurement carries the weight (1 − T j )Ŵi,j/ ∑ nj=1 (1 − T j )Ŵi,j and the weights <strong>of</strong> eligiblec<strong>on</strong>trol observati<strong>on</strong>s sum up to <strong>on</strong>e for each treated woman i. These regressi<strong>on</strong> weightsmimic the weights used in equati<strong>on</strong> (1). Note that in a weighted regressi<strong>on</strong> (3) withoutthe covariates involving x j the estimate for γ would reproduce ˆθ BDM as in equati<strong>on</strong> (2).In a weighted regressi<strong>on</strong> with the covariates involving x j , the estimate for γ corresp<strong>on</strong>dsto the ATT estimate corrected for the mismatch in observable characteristics.The coefficients β c<strong>on</strong>trol for the impact <strong>of</strong> the characteristics <strong>on</strong> the average outcomevariable. If δ = 0 in the regressi<strong>on</strong> (3), then there is no linear effect heterogeneity bythe level <strong>of</strong> covariates. The standard errors <strong>of</strong> the estimated regressi<strong>on</strong> coefficients areobtained from the bootstrap procedure for the IPW estimator by rerunning regressi<strong>on</strong> (3)for all resamples.4 DataThe analysis is based <strong>on</strong> data from the German Socio-Ec<strong>on</strong>omic Panel (SOEP), a yearlyhousehold survey interviewing all pers<strong>on</strong>s above age 15. The survey collects data <strong>on</strong><strong>employment</strong> related questi<strong>on</strong>s such as working hours, income and many more. It alsoasks for many other topics such as leisure, health, satisfacti<strong>on</strong> and values. Moreover, itc<strong>on</strong>tains informati<strong>on</strong> about the m<strong>on</strong>thly <strong>employment</strong> status and income sources, allowingus to analyze our research questi<strong>on</strong> at the m<strong>on</strong>thly frequency. The SOEP has been usedin a number <strong>of</strong> studies <strong>on</strong> <strong>employment</strong> <strong>of</strong> mothers and the <str<strong>on</strong>g>effects</str<strong>on</strong>g> <strong>of</strong> maternity leave, seee.g. Bergemann and Riphahn (2011a), Sommerfeld (2009), Vogel (2009), Wrohlich (2004),or Kreyenfeld and Hank (2000).We use data from 1991 until 2008, because 1991 is the <strong>first</strong> year households from EastGermany were included in the panel. Pensi<strong>on</strong>ers, disabled pers<strong>on</strong>s, and those womenbetween 24 and 33 years <strong>of</strong> age, as younger women are <strong>of</strong>ten still in educati<strong>on</strong>. In 2000,the median age at <strong>first</strong> <strong>birth</strong> was 29 years in West Germany (Pötzsch, 2005). Older women13

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