Valentina Melentyeva
@vmelentyeva.bsky.social
Assistant Professor at Tilburg University and Project Leader at RFBerlin
Labor Economics & Applied Econometrics
Personal website: https://sites.google.com/view/valentina-melentyeva/home
Labor Economics & Applied Econometrics
Personal website: https://sites.google.com/view/valentina-melentyeva/home
*Hidden gem in the paper for econometrics fans: Angrist and Imbens warned us about the core of this DiD problem in their LATE’94 Econometrica paper!
June 11, 2025 at 9:38 AM
*Hidden gem in the paper for econometrics fans: Angrist and Imbens warned us about the core of this DiD problem in their LATE’94 Econometrica paper!
On this hopeful note:
If you are interested in using it for teaching, happy to share seminar slides, lecture slides, and coding assignment for students that replicates our analysis (they end up with stacked DiD code ready to use) - just write me an email to v.melentyeva@tilburguniversity.edu
If you are interested in using it for teaching, happy to share seminar slides, lecture slides, and coding assignment for students that replicates our analysis (they end up with stacked DiD code ready to use) - just write me an email to v.melentyeva@tilburguniversity.edu
June 11, 2025 at 9:38 AM
On this hopeful note:
If you are interested in using it for teaching, happy to share seminar slides, lecture slides, and coding assignment for students that replicates our analysis (they end up with stacked DiD code ready to use) - just write me an email to v.melentyeva@tilburguniversity.edu
If you are interested in using it for teaching, happy to share seminar slides, lecture slides, and coding assignment for students that replicates our analysis (they end up with stacked DiD code ready to use) - just write me an email to v.melentyeva@tilburguniversity.edu
Most likely, their responses to policies differ as well, which is why we argue that analyses should be conducted by age at birth
Key take-away: heterogeneity by age at birth is not just a source of problems - it is an opportunity for better understanding!
Key take-away: heterogeneity by age at birth is not just a source of problems - it is an opportunity for better understanding!
June 11, 2025 at 9:38 AM
Most likely, their responses to policies differ as well, which is why we argue that analyses should be conducted by age at birth
Key take-away: heterogeneity by age at birth is not just a source of problems - it is an opportunity for better understanding!
Key take-away: heterogeneity by age at birth is not just a source of problems - it is an opportunity for better understanding!
Younger mothers mostly forego earnings progression, as they stop climbing the concave career ladder at its very beginning
Older mothers tend to experience level losses, struggling to sustain the careers they had built before childbirth
Older mothers tend to experience level losses, struggling to sustain the careers they had built before childbirth
June 11, 2025 at 9:38 AM
Younger mothers mostly forego earnings progression, as they stop climbing the concave career ladder at its very beginning
Older mothers tend to experience level losses, struggling to sustain the careers they had built before childbirth
Older mothers tend to experience level losses, struggling to sustain the careers they had built before childbirth
When apply it to German admin data:
- it produces 30% larger post-birth earnings losses than conventional event study (!)
- motherhood effects turn out to be so different in magnitude and interpretation (losses in levels vs growth) by age at birth, that we should not in fact average them
- it produces 30% larger post-birth earnings losses than conventional event study (!)
- motherhood effects turn out to be so different in magnitude and interpretation (losses in levels vs growth) by age at birth, that we should not in fact average them
June 11, 2025 at 9:38 AM
When apply it to German admin data:
- it produces 30% larger post-birth earnings losses than conventional event study (!)
- motherhood effects turn out to be so different in magnitude and interpretation (losses in levels vs growth) by age at birth, that we should not in fact average them
- it produces 30% larger post-birth earnings losses than conventional event study (!)
- motherhood effects turn out to be so different in magnitude and interpretation (losses in levels vs growth) by age at birth, that we should not in fact average them
Understanding the problem, we build a new solution: basically transfer the analysis to age-at-birth level with stacked DiD + include only close ages at birth in control group for comparability
June 11, 2025 at 9:38 AM
Understanding the problem, we build a new solution: basically transfer the analysis to age-at-birth level with stacked DiD + include only close ages at birth in control group for comparability
We illustrate how the issues materialize in a very simple example and then carry on to common dynamic DiDs (aka “event studies“) -> useful for understanding and teaching
June 11, 2025 at 9:38 AM
We illustrate how the issues materialize in a very simple example and then carry on to common dynamic DiDs (aka “event studies“) -> useful for understanding and teaching
Not a problem on its own, but becomes problematic if we apply DiD to such setting: already-treated mothers end up joining the control group (definitely not what we wanted)
June 11, 2025 at 9:38 AM
Not a problem on its own, but becomes problematic if we apply DiD to such setting: already-treated mothers end up joining the control group (definitely not what we wanted)
As mothers of different ages at birth are very different (that we have known), it means we are in a situation of staggered treatment adoption over age and heterogenous effects (that we have not realized)
June 11, 2025 at 9:38 AM
As mothers of different ages at birth are very different (that we have known), it means we are in a situation of staggered treatment adoption over age and heterogenous effects (that we have not realized)
Turns out that estimation of motherhood effects on women’s outcomes (aka “child penalties”) is a perfect illustration of all these issues that the new DiD literature warns us about
June 11, 2025 at 9:38 AM
Turns out that estimation of motherhood effects on women’s outcomes (aka “child penalties”) is a perfect illustration of all these issues that the new DiD literature warns us about