Modelling inaccuracies in job-search duration data

Torelli, Nicola; Trivellato, Ugo

doi:10.1016/0304-4076(93)90045-7

Cited by 54 publications

(41 citation statements)

References 17 publications

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“…For example, Morgenstern and Barrett (1974) and Horvath (1982) present evidence on retrospective bias in unemployment reporting. Torelli and Trivellato (1993) focus on a single recall bias phenomenon: the 'heaping effect,' i.e., abnormal concentration of response at certain durations. 2 …”

Section: Introductionmentioning

confidence: 99%

Correcting for bias in retrospective data

Shachar

Eckstein

2007

J of Applied Econometrics

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When panel data is not available, retrospective data is being used in the estimation of dynamic choice models. However, retrospective data is not reliable. Previous studies of voting choices, for example, have shown that respondents misreport their past choices in order to appear more consistent with their current choice. Such retrospective bias leads to inconsistent estimates, especially when there is state dependence in choices. Specifically, observed persistence in retrospective data may be due to (a) true state dependence, (b) unobserved heterogeneity, and (c) retrospective bias in reporting previous choices. Whereas Heckman (1981) deals with (a) and (b), we introduce a method to estimate true state dependence while accounting for both unobserved heterogeneity and retrospective reporting bias. Our method is based on modeling the reporting behavior, and integrating it into the estimation. The identification strategy is based on the correlation between the reported previous choices and current exogenous variables. Using data on Israeli voters, we find that the probability that a respondent whose vote intention in 1991 differed from her past voting choices would lie about her past choices is 0.23. * Our thanks go to Dmitri Byzalov who was kind enough to share some of his expertise. Our referees and the editor, Herman K. van Dijk, were particularly helpful with their constructive comments, and we very much appreciate their efforts.

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Section: Introductionmentioning

confidence: 99%

Correcting for bias in retrospective data

Shachar

Eckstein

2007

J of Applied Econometrics

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“…We only consider two profile functions below, one for even and one for odd numbers. Profile functions, though not with this name, were employed by Torelli and Trivellato (1993) to describe heaping in unemployment duration data. A somewhat different model of probabilistic heaping was used by Heitjan and Rubin (1991).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic rounding and Sheppard’s correction

Schneeweiß¹,

Komlos²

2009

Statistical Methodology

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When rounded data are used in place of the true values to compute the variance of a variable or a regression line, the results will be distorted. Under suitable smoothness conditions on the distribution of the variable(s) involved, this bias, however, can be corrected with very high precision by using the well-known Sheppard's correction. In this paper, Sheppard's correction is generalized to cover more general forms of rounding procedures than just simple rounding, viz., probabilistic rounding, which includes asymmetric rounding and mixture rounding.

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“…Neglecting these heaping effects leads to inconsistent estimation of the hazard function (e.g. Torelli andTrivellato, 1993 andAugustin andWolff, 2000).…”

Section: Introductionmentioning

confidence: 99%

“…However, the object of interest in their study was to estimate the effects of the covariates and not the baseline hazard. Torelli and Trivellato (1993) derive a likelihood function which allows some form of heaping. However they require a parsimonious parametric specification for the hazard, and their approach is not suitable to assess a policy effect on the baseline hazard.…”

Section: Introductionmentioning

confidence: 99%

Modelling Heaped Duration Data: An Application to Neonatal Mortality

2014

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention to the substantial heaping present in the data. The main objective of this paper is to provide a set of sufficient conditions for identification and consistent estimation of the baseline hazard accounting for heaping and unobserved heterogeneity. Our identification strategy requires neither administrative data nor multiple measurements, but a correctly reported duration and the presence of some flat segments in the baseline hazard which includes this correctly reported duration point. We establish the asymptotic properties of the maximum likelihood estimator and provide a simple procedure to test whether the policy had (uniformly) reduced mortality. While our empirical findings do not confirm the latter, they do indicate that accounting for heaping matters for the estimation of the baseline hazard. JEL Classification:C12, C21, C24, C41

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Modelling inaccuracies in job-search duration data

Cited by 54 publications

References 17 publications

Correcting for bias in retrospective data

Correcting for bias in retrospective data

Probabilistic rounding and Sheppard’s correction

Modelling Heaped Duration Data: An Application to Neonatal Mortality

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