Description Usage Arguments Details Author(s) References See Also Examples

Function to summarize results from list experiment regression based on the ictreg() function, and to produce proportions of liars estimates.

1 2 3 |

`object` |
Object of class inheriting from "ictreg" |

`boundary.proportions` |
A switch indicating whether, for models with
ceiling effects, floor effects, or both (indicated by the |

`n.draws` |
For quasi-Bayesian approximation based predictions, specify the number of Monte Carlo draws. |

`...` |
further arguments to be passed to or from other methods. |

`predict.ictreg`

produces a summary of the results from an
`ictreg`

object. It displays the coefficients, standard errors, and fit
statistics for any model from `ictreg`

.

`predict.ictreg`

also produces estimates of the conditional probability
of lying and of the population proportion of liars for boundary models from
`ictreg()`

if `ceiling = TRUE`

or `floor = TRUE`

.

The conditional probability of lying for the ceiling model is the probability that a respondent with true affirmative views of all the sensitive and non-sensitive items lies and responds negatively to the sensitive item. The conditional probability for the floor model is the probability that a respondent lies to conceal her true affirmative views of the sensitive item when she also holds true negative views of all the non-sensitive items. In both cases, the respondent may believe her privacy is not protected, so may conceal her true affirmative views of the sensitive item.

Graeme Blair, UCLA, [email protected] and Kosuke Imai, Princeton University, [email protected]

Blair, Graeme and Kosuke Imai. (2012) “Statistical Analysis of List Experiments." Political Analysis, Vol. 20, No 1 (Winter). available at http://imai.princeton.edu/research/listP.html

Imai, Kosuke. (2011) “Multivariate Regression Analysis for the Item Count Technique.” Journal of the American Statistical Association, Vol. 106, No. 494 (June), pp. 407-416. available at http://imai.princeton.edu/research/list.html

`ictreg`

for model fitting

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
data(race)
## Not run:
# Fit standard design ML model with ceiling effects
# Replicates Table 7 Columns 3-4 in Blair and Imai (2012)
ceiling.results <- ictreg(y ~ age + college + male + south, treat = "treat",
J = 3, data = affirm, method = "ml", fit.start = "nls",
ceiling = TRUE, ceiling.fit = "bayesglm",
ceiling.formula = ~ age + college + male + south)
# Summarize fit object and generate conditional probability
# of ceiling liars the population proportion of ceiling liars,
# both with standard errors.
# Replicates Table 7 Columns 3-4 last row in Blair and Imai (2012)
summary(ceiling.results, boundary.proportions = TRUE)
## End(Not run)
``` |

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