Arbeitspapier

Testing the statistical significance of microsimulation results: Often easier than you think ; a technical note

In the microsimulation literature, it is still uncommon to test the statistical significance of results. In this paper we argue that this situation is both undesirable and unnecessary. Provided the parameters used in the microsimulation are exogenous, as is often the case in static microsimulation of the first-order effects of policy changes, simple statistical tests can be sufficient. Moreover, standard routines have been developed which enable applied researchers to calculate the sampling variance of microsimulation results, while taking the sample design into account, even of relatively complex statistics such as relative poverty, inequality measures and indicators of polarization, with relative ease and a limited time investment. We stress that when comparing simulated and baseline variables, as well as when comparing two simulated variables, it is crucial to take account of the covariance between those variables. Due to this covariance, the mean difference between the variables can generally (though not always) be estimated with much greater precision than the means of the separate variables.

Sprache
Englisch

Erschienen in
Series: EUROMOD Working Paper ; No. EM18/13

Klassifikation
Wirtschaft
Statistical Simulation Methods: General
Survey Methods; Sampling Methods
Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software
Measurement and Analysis of Poverty
Thema
Statistical inference
significance tests
microsimulation
covariance
t-test
EUROMOD

Ereignis
Geistige Schöpfung
(wer)
Goedemé, Tim
van den Bosch, Karel
Salanauskaite, Lina
Verbis, Gerlinde
Ereignis
Veröffentlichung
(wer)
University of Essex, Institute for Social and Economic Research (ISER)
(wo)
Colchester
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Goedemé, Tim
  • van den Bosch, Karel
  • Salanauskaite, Lina
  • Verbis, Gerlinde
  • University of Essex, Institute for Social and Economic Research (ISER)

Entstanden

  • 2013

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