On deriving reduced-form spatial econometric models from theory and their ws from observed flows: Example based on the regional knowledge production function

Sandy Dall’erba, Dongwoo Kang, Fang Fang

Research output: ResearchChapter

Abstract

Recent spatial econometric contributions call for empirical models to be more often derived from spatial theory and W matrices to be more closely related to actual inter-regional linkages. This manuscript answers this call by reviewing some of the latest developments and suggesting future research venues along these lines. All examples are based on the regional knowledge production function literature as enormous advances focusing on the spatial nature of the dynamics at work have taken place sinces Griliches (Bell J Econ 10(1):92–116, 1979) seminal but aspatial contribution. Furthermore, this literature offers several examples of spatial weight matrices that offer innovative ways to account for the nature, magnitude, asymmetry and directionality of inter-regional (knowledge) spillovers. We foresee that other exciting regional science topics will follow this path.

LanguageEnglish (US)
Title of host publicationAdvances in Spatial Science
PublisherSpringer International Publishing
Pages127-139
Number of pages13
Edition9783319505893
DOIs
StatePublished - 2017
Externally publishedYes

Publication series

NameAdvances in Spatial Science
No.9783319505893
ISSN (Print)1430-9602
ISSN (Electronic)2197-9375

Fingerprint

Econometric models
Knowledge production function
Reduced form
Spatial econometrics
production function
knowledge production
econometrics
literature
matrix
asymmetry
science
Knowledge spillovers
Nature
Asymmetry
Reviewing
Linkage
Empirical model

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics

Cite this

Dall’erba, S., Kang, D., & Fang, F. (2017). On deriving reduced-form spatial econometric models from theory and their ws from observed flows: Example based on the regional knowledge production function. In Advances in Spatial Science (9783319505893 ed., pp. 127-139). (Advances in Spatial Science; No. 9783319505893). Springer International Publishing. DOI: 10.1007/978-3-319-50590-9_7

On deriving reduced-form spatial econometric models from theory and their ws from observed flows : Example based on the regional knowledge production function. / Dall’erba, Sandy; Kang, Dongwoo; Fang, Fang.

Advances in Spatial Science. 9783319505893. ed. Springer International Publishing, 2017. p. 127-139 (Advances in Spatial Science; No. 9783319505893).

Research output: ResearchChapter

Dall’erba, S, Kang, D & Fang, F 2017, On deriving reduced-form spatial econometric models from theory and their ws from observed flows: Example based on the regional knowledge production function. in Advances in Spatial Science. 9783319505893 edn, Advances in Spatial Science, no. 9783319505893, Springer International Publishing, pp. 127-139. DOI: 10.1007/978-3-319-50590-9_7
Dall’erba S, Kang D, Fang F. On deriving reduced-form spatial econometric models from theory and their ws from observed flows: Example based on the regional knowledge production function. In Advances in Spatial Science. 9783319505893 ed. Springer International Publishing. 2017. p. 127-139. (Advances in Spatial Science; 9783319505893). Available from, DOI: 10.1007/978-3-319-50590-9_7
Dall’erba, Sandy ; Kang, Dongwoo ; Fang, Fang. / On deriving reduced-form spatial econometric models from theory and their ws from observed flows : Example based on the regional knowledge production function. Advances in Spatial Science. 9783319505893. ed. Springer International Publishing, 2017. pp. 127-139 (Advances in Spatial Science; 9783319505893).
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