Natural Experiments in the Social Sciences: A Design-Based Approach

By T. Dunning. 2012

514 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bc60835ec9addc2382ef1e8487e14b2b90ac3873

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Citations in the corpus

Jurisdiction Size and Local Government Policy Expenditure: Assessing the Effect of Municipal Amalgamation (2016, methodology): “A quasi-experiment shares many features with other types of experiment (Cook and Campbell 1979, 56; Dunning 2012, 15–21).”
Causal Inference in Accounting Research (2016, methodology): “However, Dunning (2012, p.3, emphasis added) argues that this appeal “may provoke conceptual stretching, in which an attractive label is applied to research designs that only implausibly meet the definitional features of the method.” Our survey of accounting research in 2014 identified five papers t”
Making sense of sensitivity: extending omitted variable bias (2019, unknown): “In “natural” and “quasi”-experiments, this often includes a qualitative account for why the treatment assignment is “as-if” random conditional on a set of key characteristics (see e.g. Angrist and Pischke 2008; Dunning 2012).”
The role of administrative data in the big data revolution in social science research. (2016, background): “The large sample sizes of administrative social science datasets may enable the use of novel analytical approaches (e.g. quasi-causal methods) which take advantage of variations in the experiences of groups within these large samples (see Dunning, 2012).”
Nature Contact and Human Health: A Research Agenda (2017, background): “Natural experiments are study opportunities that resemble experiments but that arise through circumstances outside the investigator’s control (Dunning 2012).”
The Political and Economic Consequences of Populist Rule in Latin America (2016, unknown): “Therefore, we also adopt a second strategy to address the issue of endogeneity in the institutional constraints and redistribution models.9 Here we exploit a kind of ‘quasi-experiment’ to overcome this problem (Dunning 2012).”
Examining Prison Effects on Recidivism: A Regression Discontinuity Approach (2017, unknown): “…the effect of actually being imprisoned, as opposed to scoring to prison, we use instrumental variable estimation and two-stage regression — a technique that has become standard in RD analyses with fuzzy discontinuities (see, e.g. Dunning, 2012; Imbens & Lemieux, 2008; Murnane & Willett, 2011).”
The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “Dunning (2012) maintains that only natural experiments can be classiﬁed as design based.”
The Effect of Recommendations on Network Structure (2016, background): “By treating the recommender’s introduction as a “natural experiment” [10, 25], whose precise timing was largely unrelated to other signiﬁcant events, we are able to estimate the causal impact of the recommender on network structure, sidestep-ping concerns that often plague traditional observational…”
Shock-Based Causal Inference in Corporate Finance and Accounting Research (2015, background): “But some give these terms different meanings, including Shadish et al. (2002) and Dunning (2012).”