Artikel

Functional-coefficient spatial Durbin models with nonparametric spatial weights: An application to economic growth

This paper considers a functional-coefficient spatial Durbin model with nonparametric spatial weights. Applying the series approximation method, we estimate the unknown functional coefficients and spatial weighting functions via a nonparametric two-stage least squares (or 2SLS) estimation method. To further improve estimation accuracy, we also construct a second-step estimator of the unknown functional coefficients by a local linear regression approach. Some Monte Carlo simulation results are reported to assess the finite sample performance of our proposed estimators. We then apply the proposed model to re-examine national economic growth by augmenting the conventional Solow economic growth convergence model with unknown spatial interactive structures of the national economy, as well as country-specific Solow parameters, where the spatial weighting functions and Solow parameters are allowed to be a function of geographical distance and the countries' openness to trade, respectively.

Sprache
Englisch

Erschienen in
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 4 ; Year: 2016 ; Issue: 1 ; Pages: 1-16 ; Basel: MDPI

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Thema
functional coefficients
local linear regression
nonparametric 2SLS estimator
series estimator
Solow economic growth convergence model
spatial Durbin model

Ereignis
Geistige Schöpfung
(wer)
Koroglu, Mustafa
Sun, Yiguo
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2016

DOI
doi:10.3390/econometrics4010006
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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

Objekttyp

  • Artikel

Beteiligte

  • Koroglu, Mustafa
  • Sun, Yiguo
  • MDPI

Entstanden

  • 2016

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