השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניסוי טבעי× | הפרש-בהפרשים (דיד)× | ניסוי שדה× | |
|---|---|---|---|
| תחום≠ | תכנון ניסויים | אקונומטריקה | תכנון ניסויים |
| משפחה≠ | Process / pipeline | Regression model | Process / pipeline |
| שנת המקור≠ | 1990s (formal methodological articulation); earlier in epidemiology (John Snow, 1854) | 1994 | 1920s–1930s (agriculture); 1990s–2000s (social sciences) |
| הוגה השיטה≠ | Varied; systematized in econometrics and political science (e.g., Meyer 1995; Angrist & Krueger 1991) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) |
| סוג≠ | Quasi-experimental research design | Causal inference / panel regression | Experimental design |
| מקור מכונן≠ | Meyer, B. D. (1995). Natural and quasi-experiments in economics. Journal of Business and Economic Statistics, 13(2), 151–161. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ |
| כינויים≠ | natural quasi-experiment, naturally occurring experiment, exogenous shock design, as-if randomization | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) | field trial, natural field experiment, randomized field experiment, field RCT |
| קשורות≠ | 3 | 5 | 5 |
| תקציר≠ | A natural experiment exploits a real-world event, policy, or circumstance that assigns individuals to treatment and control conditions in a way that is plausibly random — or at least exogenous to the outcome of interest. Because the researcher does not control assignment, it occupies a middle ground between a true randomized controlled trial and purely observational research, offering stronger causal leverage than conventional observational designs when the as-if randomization assumption holds. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. | A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research. |
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