Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Frey's Scenario F simulation mentioned in account of the Democratic Party's tribulations

U-M Poverty Solutions funds nine projects

Dynarski says NY's Excelsior Scholarship Program could crowd out low-income and minority students

More News

Highlights

Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

More Highlights

Next Brown Bag

Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

Deviance Residual Moran's I Test and Its Application to Spatial Clusters of Small Manufacturing Firms in Japan

Publication Abstract

Banasick, S., Ge Lin, and R. Hanham. 2009. "Deviance Residual Moran's I Test and Its Application to Spatial Clusters of Small Manufacturing Firms in Japan." International Regional Science Review, 32(1): 3-18.

It is proposed that when data exhibit local clusters, a logit local association model coupled with deviance residual Moran's I can be an alternative to the global Poisson autoregressive model because the former can explicitly reveal local clusters and remove residual clustering. Because small firms in Japan traditionally exhibit local clusters, they are a good illustration. In this article, the authors introduce the deviance residual Moran's I to capture local cluster tendencies in a set of logit models and then evaluate their performance by simulation and case study. Results show that I-DR can effectively serve as a global measure of a clustering tendency for logit models and can complement other autoregressive logistic regressions for local cluster modeling when a significant I-DR is contributed by local clusters. In addition, ecological covariates identified in the previous literature were sufficient to account for the spatial clustering of small firms in 1990 but not in 2000.

DOI:10.1177/0160017608325909 (Full Text)

Country of focus: Japan.

Browse | Search : All Pubs | Next