A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence

Wucherpfennig, Julian; Kachi, Aya; Bormann, Nils-Christian; Hunziker, Philipp

A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence

Dateien

Wucherpfennig_2-8h60w8wepzfg6.pdf(772.95 KB)

Datum

2021

Autor:innen

Wucherpfennig, Julian

Kachi, Aya

Bormann, Nils-Christian

Hunziker, Philipp

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Political Analysis ; 29 (2021), 4. - S. 570-576. - Cambridge University Press. - ISSN 1047-1987. - eISSN 1476-4989

Zusammenfassung

Binary outcome models are frequently used in the social sciences and economics. However, such models are difficult to estimate with interdependent data structures, including spatial, temporal, and spatio-temporal autocorrelation because jointly determined error terms in the reduced-form specification are generally analytically intractable. To deal with this problem, simulation-based approaches have been proposed. However, these approaches (i) are computationally intensive and impractical for sizable datasets commonly used in contemporary research, and (ii) rarely address temporal interdependence. As a way forward, we demonstrate how to reduce the computational burden significantly by (i) introducing analytically-tractable pseudo maximum likelihood estimators for latent binary choice models that exhibit interdependence across space and time and by (ii) proposing an implementation strategy that increases computational efficiency considerably. Monte Carlo experiments show that our estimators recover the parameter values as good as commonly used estimation alternatives and require only a fraction of the computational cost.

Fachgebiet (DDC)

320 Politik

Schlagwörter

spatial autocorrelation, temporal autocorrelation, simultaneity, discrete choice models, pseudo maximum likelihood

Zitieren

ISO 690

WUCHERPFENNIG, Julian, Aya KACHI, Nils-Christian BORMANN, Philipp HUNZIKER, 2021. A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence. In: Political Analysis. Cambridge University Press. 29(4), pp. 570-576. ISSN 1047-1987. eISSN 1476-4989. Available under: doi: 10.1017/pan.2020.54

BibTex

@article{Wucherpfennig2021-10Estim-54186,
  year={2021},
  doi={10.1017/pan.2020.54},
  title={A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence},
  number={4},
  volume={29},
  issn={1047-1987},
  journal={Political Analysis},
  pages={570--576},
  author={Wucherpfennig, Julian and Kachi, Aya and Bormann, Nils-Christian and Hunziker, Philipp}
}

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