Abstract
In recent years, analysts have relied more heavily on time-series methodologies to evaluate the effects of public policies. This article describes ordinal time-series analysis (OTSA), a technique originally developed to analyze the behavior of business firms. OTSA is a descriptive tool. Its advantages are that it uses ordinal data and eliminates the need for selecting appropriate discount factors. The use of OTSA in public policy analysis is illustrated through an assessment of the relationship between social welfare expenditures and infant mortality rates at state, regional, and national levels.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 77-93 |
| Number of pages | 17 |
| Journal | The Journal of Applied Behavioral Science |
| Volume | 22 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1986 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Applied Psychology
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