Click on a term to reduce result list
The result list below will be reduced to the selected search terms. The terms are generated from the titles, abstracts and STW thesaurus of publications by the respective author.
50 records from EconBiz based on author Name
1. Societal disruptions and child mental health : evidence from ADHD diagnosis during the Covid-19 pandemic
abstractWe study how the societal disruptions of the COVID-19 pandemic impacted diagnosis of a prevalent childhood mental health condition, Attention Deficit Hyperactivity Disorder (ADHD). Using both nationwide private health insurance claims and a single state's comprehensive electronic health records, we compare children exposed to the pandemic to same aged children prior to the pandemic. We find the pandemic reduced new ADHD diagnoses by 8.6% among boys and 11.0% among girls nationwide through February 2021. We further show that higher levels of in-person schooling in Fall 2020 dampened the decline for girls but had no moderating effect for boys.
Freedman, Seth; Marquardt, Kelli; Salcedo, Dario; Simon, Kosali Ilayperuma; Wing, Coady;2023
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability:

2. Societal disruptions and childhood ADHD diagnosis during the COVID-19 pandemic
Freedman, Seth; Marquardt, Kelli; Salcedo, Dario; Simon, Kosali Ilayperuma; Wing, Coady;2024
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
3. Societal disruptions and child mental health: Evidence from ADHD diagnosis during the Covid-19 pandemic
Freedman, Seth; Marquardt, Kelli; Salcedo, Dario; Simon, Kosali Ilayperuma; Wing, Coady;2023
Type: Working Paper;
Availability:

4. Strategic use of health information exchange and market share, payer mix, and operating margins
Vest, Joshua R.; Freedman, Seth; Unruh, Mark Aaron; Bako, Abdulaziz T.; Simon, Kosali Ilayperuma;2022
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
5. Pricing Innovation in Surgical Care Markets
abstractTechnological innovation in medical services can improve health, but its ability to reach patients often depends on price signals for downstream providers, which can also be discordant across production inputs. We examine such a context when Medicare sharply revises facility fees--while holding physician fees constant--for advanced surgical care performed within certain outpatient settings. Industry-wide output for impacted cases increases via market expansion, and indirectly affected physicians devote more labor supply to these cases by sacrificing other outpatient and inpatient surgical volumes. Government price setting for healthcare facilities spills over onto physicians--impacting their technology utilization and time allocations
Chen, Alice; Freedman, Seth; Munnich, Elizabeth L.; Richards, Michael R.;2024
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability: Link Link
6. Stacked Difference-in-Differences
abstractThis paper introduces the concept of a "trimmed aggregate ATT," which is a weighted average of a set of group-time average treatment effect on the treated (ATT) parameters identified in a staggered adoption difference-in-differences (DID) design. The set of identified group-time ATTs that contribute to the aggregate is trimmed to achieve compositional balance across an event window, ensuring that comparisons of the aggregate parameter over event time reveal dynamic treatment effects and differential pre-trends rather than compositional changes. Taking the trimmed aggregate ATT as a target parameter, we investigate the performance of stacked DID estimators. We show that the most basic stacked estimator does not identify the target aggregate or any other average causal effect because it applies different implicit weights to treatment and control trends. The bias can be eliminated using corrective sample weights. We present a weighted stacked DID estimator, and show that it correctly identifies the target aggregate, providing justification for using the estimator in applied work
Wing, Coady; Freedman, Seth; Hollingsworth, Alex;2024
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability: Link Link
7. Docs with their eyes on the clock? The effect of time pressures on primary care productivity
Freedman, Seth; Golberstein, Ezra; Huang, Tsan-Yao; Satin, David J.; Smith, Laura Barrie;2021
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
Citations: 14 (based on OpenCitations)
8. Observational studies of the effect of medicaid on health : controls are not enough
Freedman, Seth; Goodman-Bacon, Andrew; Hammarlund, Noah;2021
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link Link Link
9. Designing Difference in Difference Studies With Staggered Treatment Adoption : Key Concepts and Practical Guidelines
abstractDifference-in-Difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 * 2 DID design (single treatment group, single control group, two time periods) with more complex cases: additional treated groups, additional time periods of treatment, and with treatment effects possibly varying over time. We outline newly uncovered threats to causal interpretation of DID estimates and the solutions the literature has proposed, relying on a decomposition that shows how the more complex DID are an average of simpler 2X2 DID sub-experiments
Freedman, Seth; Hollingsworth, Alex; Simon, Kosali Ilayperuma; Wing, Coady; Yozwiak, Madeline;2023
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability: Link Link
10. Societal Disruptions And Child Mental Health : Evidence From ADHD Diagnosis During The COVID-19 Pandemic
abstractWe study how the societal disruptions of the COVID-19 pandemic impacted diagnosis of a prevalent childhood mental health condition, Attention Deficit Hyperactivity Disorder (ADHD). Using both nationwide private health insurance claims and a single state's comprehensive electronic health records, we compare children exposed to the pandemic to same aged children prior to the pandemic. We find the pandemic reduced new ADHD diagnoses by 8.6% among boys and 11.0% among girls nationwide through February 2021. We further show that higher levels of in-person schooling in Fall 2020 dampened the decline for girls but had no moderating effect for boys
Freedman, Seth; Marquardt, Kelli R.; Salcedo, Dario; Simon, Kosali Ilayperuma; Wing, Coady;2023
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability: Link Link