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Accounting for Pre-Treatment Exposure in Panel Data: Re-Estimating the Effect of Mass Public Shootings

Published online by Cambridge University Press:  08 March 2019

Todd K Hartman*
Affiliation:
Sheffield Methods Institute, University of Sheffield
Benjamin J Newman
Affiliation:
School of Public Policy and Department of Political Science, University of California, Riverside
*
*Corresponding author. Email: [email protected]

Abstract

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Type
Response
Copyright
© Cambridge University Press 2019 

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References

Ansolabehere, S Schaffner, B (2018) 2010–2012 CCES Panel Study. Harvard Dataverse, V4. Available at https://doi.org/10.7910/DVN/24416 (accessed March 2018).Google Scholar
Baetschmann, G, Staub, KE Winkelmann, R (2015) Consistent estimation of the fixed effects ordered logit model. Journal of the Royal Statistical Society: Series A (Statistics in Society) 178 (3):685703.Google Scholar
Barney, DJ Schaffner, BF (Forthcoming) Re-examining the effect of mass shootings on public support for gun control. British Journal of Political Science.Google Scholar
Druckman, JN Leeper, TJ ( 2012) Learning more from political communication experiments: pretreatment and its effects. American Journal of Political Science 56 (4):875896.Google Scholar
Dickerson, A, Hole, AR Munford, LA (2014) The relationship between well-being and commuting revisited: does the choice of methodology matter? Regional Science and Urban Economics 49, 321329.Google Scholar
Newman, BJ Hartman, TK (Forthcoming) Mass shootings and public support for gun control. British Journal of Political Science.Google Scholar
Puhani, PA (2012) The treatment effect, the cross difference, and the interaction term in nonlinear ‘difference-in-differences’ models. Economics Letters 115 (1):8587.Google Scholar
Schaffner, B Ansolabehere, S (2018) 2010–2014 Cooperative Congressional Election Study Panel Survey. Harvard Dataverse, V10. Available at https://doi.org/10.7910/DVN/TOE8I1 (accessed March 2018).Google Scholar