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Abortion Opinion — Deadlock or Generational Turnover?

Abortion opinion: deadlock or generational replacement?

Draft. This post uses the Bayesian cohort–period model (model10) on the GSS legal abortion under stated circumstances battery (abdefect through abany) to separate period (survey year) and cohort (birth cohort) contributions. The substantive question: is U.S. opinion on abortion stuck in a stable partisan / moral deadlock, or is generational replacement moving the aggregate in a direction that could eventually change politics—even if cross-sectional disagreement remains high?

Survey wording

Each item asks whether it should be possible for a pregnant woman to obtain a legal abortion under a specific condition. In the figures below, the outcome is percent saying no—that is, opposition to permitting abortion in that situation.

All seven share this opening:

Please tell me if you think it should be possible for a pregnant woman to obtain a legal abortion if

Higher baseline opposition

These scenarios (GSS variables abnomore, abpoor, absingle, abany) show higher typical opposition in the data; the composite plots put them in the upper panel (0–100% scale).

Lower baseline opposition

These scenarios (abdefect, abhlth, abrape) show lower typical opposition; the composites use the lower panel (narrower vertical scale).

Time-only model: all scenarios

First, a period-only (no cohort) model for each item: a smooth latent trend through the national series, using the same weighting as the full APC fit. Here are all seven scenarios on two panels (higher vs. lower baseline opposition to permitting abortion).

Time-only latent trends (percent saying no), all seven GSS abortion-permissibility items.

Figure 1:Time-only latent trends (percent saying no), all seven GSS abortion-permissibility items.

One item in full: “any reason” (abany)

The “on demand” item is the most polarized. Here is the full cohort–period decomposition for abany alone: cohort trajectories (each birth cohort over time), then the period margin with cohort mix held fixed, then the cohort margin with equal weight on each observed survey year.

Cohort trajectories for abany (percent saying no to legal abortion for any reason).

Figure 2:Cohort trajectories for abany (percent saying no to legal abortion for any reason).

Period (time) component for abany: standardized trend with fixed cohort mix.

Figure 3:Period (time) component for abany: standardized trend with fixed cohort mix.

Cohort component for abany: uniform average over observed survey years.

Figure 4:Cohort component for abany: uniform average over observed survey years.

All scenarios: period then cohort (APC margins)

Finally, the same decompositions for the whole battery: standardized period effects (one panel for higher-baseline items, one for lower-baseline defect / health / rape), then standardized cohort effects.

Combined period margins (fixed cohort mix), all seven items.

Figure 5:Combined period margins (fixed cohort mix), all seven items.

Combined cohort margins (uniform years), all seven items.

Figure 6:Combined cohort margins (uniform years), all seven items.