2012
DOI: 10.1017/s0022381612000473
|View full text |Cite
|
Sign up to set email alerts
|

But Wait, There’s More! Maximizing Substantive Inferences from TSCS Models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
59
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
6
3

Relationship

2
7

Authors

Journals

citations
Cited by 74 publications
(66 citation statements)
references
References 17 publications
1
59
0
Order By: Relevance
“…10/2, December 2018 ISSN 2073-4859 with a multitude of lags and lagged first differences, the ability to interpret the effect on y, given a change in a regressor, can become even more difficult. One of the easiest ways of getting a sense of the effect of the shockvar on y is through plotting the simulation results (Tomz et al, 2003;Breunig and Busemeyer, 2012;Williams and Whitten, 2012;Philips et al, 2015Philips et al, , 2016Gandrud et al, 2015;Blackwell and Glynn, 2018;Choirat et al, 2018). To this end, we offer two more functions: area.simulation.plot and spike.simulation.plot.…”
Section: Gaining Substantive and Statistical Significance Of Results mentioning
confidence: 99%
See 1 more Smart Citation
“…10/2, December 2018 ISSN 2073-4859 with a multitude of lags and lagged first differences, the ability to interpret the effect on y, given a change in a regressor, can become even more difficult. One of the easiest ways of getting a sense of the effect of the shockvar on y is through plotting the simulation results (Tomz et al, 2003;Breunig and Busemeyer, 2012;Williams and Whitten, 2012;Philips et al, 2015Philips et al, , 2016Gandrud et al, 2015;Blackwell and Glynn, 2018;Choirat et al, 2018). To this end, we offer two more functions: area.simulation.plot and spike.simulation.plot.…”
Section: Gaining Substantive and Statistical Significance Of Results mentioning
confidence: 99%
“…10/2, December 2018 ISSN 2073-4859 provide an alternative to direct hypothesis testing of coefficients, instead focusing on simulating meaningful counterfactuals from model coefficients many times and drawing inferences from the central tendencies of the simulations. Such simulations are becoming increasingly popular with increased computing power, as demonstrated in the social sciences by recent methodological and applied work (Tomz et al, 2003;Breunig and Busemeyer, 2012;Williams and Whitten, 2012;Philips et al, 2015Philips et al, , 2016Gandrud et al, 2015;Choirat et al, 2018).…”
Section: The General Ardl Modelmentioning
confidence: 99%
“…Our theoretical expectations are focused on the effects of debates on vote intentions. An effective way of depicting the dynamic nature of these relationships is with dynamic simulations (Williams and Whitten, ). After establishing a simulation scenario for the control variables, scholars can “shock” the system by changing one of the values of the explanatory variables (in this case, a debate dummy) at time t=1, and then observing how the vote intention series changes over future time periods.…”
Section: Resultsmentioning
confidence: 99%
“…Public policy scholars can use simulation and visual aids in order to present their results intuitively and effectively. Following King et al (2000) (also Williams and Whitten, 2012), we use our estimates to produce counterfactual simulations and then display their conditional first difference and 90 percent confidence bands (Adolph, 2012). In the following graphs, we consider the counterfactual of a 0.5 standard deviation increase in an independent variable.…”
Section: Inference and Theory Testingmentioning
confidence: 99%