Arbeitspapier

Estimation of multiequation cross-section models in the presence of spatial autocorrelation

We describe econometric techniques to treat spatial autocorrelation in multiequation cross-section models. The cross-section approaches discussed here are heavily based on the spatial GMM procedure, proposed by Conley (1999). An extension for fullinformation instrumental variable models is presented. Monte Carlo simulations are employed in order to verify some asymptotic properties of the Spatial GMM approach. The simulations suggest that, even in the presence of spatial nonstationarity, the spatial GMM still delivers valid standard errors. Besides, usual t-statistics appear to have a standard normal distribution. An application for estimating labor and wage equations to study regional growth and development of the Brazilian municipalities, between 1991 and 2000, is presented.

Sprache
Englisch

Erschienen in
Series: Discussion Paper ; No. 154

Klassifikation
Wirtschaft
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Size and Spatial Distributions of Regional Economic Activity
Regional Development Planning and Policy

Ereignis
Geistige Schöpfung
(wer)
Ywata de Carvalho, Alexandre
da Mata, Daniel
Chomitz, Kenneth M.
Ereignis
Veröffentlichung
(wer)
Institute for Applied Economic Research (ipea)
(wo)
Brasília
(wann)
2015

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

  • Ywata de Carvalho, Alexandre
  • da Mata, Daniel
  • Chomitz, Kenneth M.
  • Institute for Applied Economic Research (ipea)

Entstanden

  • 2015

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