Causation, Statistics, and Sociology

Goldthorpe, John H.

doi:10.1093/esr/17.1.1

Cited by 244 publications

(150 citation statements)

References 41 publications

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“…of policy change, a more nuanced discussion on causality is needed. The concept of causality has gained revamped attention in the new methodology literature (Gerring, 2008;Goldthorpe, 2001;Mahoney, 2010). Two main modes of causal inference may be identified in the analysis of interest group influence.…”

Section: What Preference Attainment Is and What Is Notmentioning

confidence: 99%

“…Two main modes of causal inference may be identified in the analysis of interest group influence. Large N observational studies (Bernhagen, 2012;Klüver, 2009Klüver, , 2013Yackee and Yackee, 2006;Yackee, 2004Yackee, , 2006 using data set observation data (Collier et al, 2010a;Collier, 2011) rely on a frequentist mode of causal inference (Goldthorpe, 2001). Put simply, influence is conceived as the causal link between the interest group's action and the policy change under analysis for which evidence is found in how frequently the former precedes the latter.…”

Section: What Preference Attainment Is and What Is Notmentioning

confidence: 99%

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studying preference attainment using spatial models

Vannoni

Dür

2017

Eur Polit Sci

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Interest group influence represents the Higgs boson of contemporary social research. Scholars have tried to define and measure influence for decades: tens of different definitions are used in the literature and as many methods to measure it can be found. The literature has recently converged towards an agreement on how to study interest group influence: preference attainment. The latter has monopolised the research in the literature in the last years. Yet, a discussion on what preference attainment is, what it does and what it does not is still missing in the literature. This works aims to fill this gap by providing a theoretical and methodological informed discussion on interest group influence and preference attainment. In so doing, I propose a novel method to apply preference attainment in an effective and efficient manner.

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Section: What Preference Attainment Is and What Is Notmentioning

confidence: 99%

Section: What Preference Attainment Is and What Is Notmentioning

confidence: 99%

studying preference attainment using spatial models

Vannoni

Dür

2017

Eur Polit Sci

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“…understandable) development. The relation between 'causation as consequential manipulation' and rational choice theory is discussed in Goldthorpe (2001). 37.…”

Section: Notesmentioning

confidence: 99%

Causation and reason: R. G. Collingwood and causal analysis as the essence of social thinking

Wide

2017

Distinktion: Journal of Social Theory

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How are we to understand causal relations and analysis in social science? This paper takes R. G. Collingwood's writing about causation as its point of departure for the answering of this question. Two different kinds of causal relations are distinguished from pseudo-causality; of the former, one is directly connected to reason, the other to our ability to manipulate the world. Their interconnection and significance are discussed and the conclusions are drawn that (a) causality belongs to the realm of human praxis and that (b) causal analysis proper is well suited for the social sciences. It is further showed that some important explanations are not causal in any of the above-mentioned senses. These explanations could conceivably be called interpretative descriptions, but it is suggested that perhaps they can be understood as examples of causa sui, of something selfcaused.

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“…Goldthorpe [30,31,32] describes several ideas of causation and corresponding methods of statistical proof, with different strengths and weaknesses. Although skeptical of regression, he finds rational choice theory to be promising.…”

Section: Literature Reviewmentioning

confidence: 99%

Linear Statistical Models for Causation: A Critical Review

Freedman

2014

Wiley StatsRef: Statistics Reference Online

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We review the basis for inferring causation by means of linear statistical models. Parameters should be stable under interventions, and so should error distributions. There are also statistical conditions that must be satisfied. Stability is difficult to establish a priori , and the statistical conditions are equally problematic. Therefore, causal relationships are seldom to be inferred from a data set by running regressions, unless there is substantial prior knowledge about the mechanisms that generated the data.

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Causation, Statistics, and Sociology

Cited by 244 publications

References 41 publications

studying preference attainment using spatial models

studying preference attainment using spatial models

Causation and reason: R. G. Collingwood and causal analysis as the essence of social thinking

Linear Statistical Models for Causation: A Critical Review

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