The Cliff and Ord Test for Spatial Correlation of the Disturbances in Unbalanced Panel Models

In many cases, only an unbalanced panel data set with some observations missing at random is available. This note derives a Cliff and Ord test for spatially autocorrelated disturbances for such data. In a small Monte Carlo simulation exercise, the performance of the proposed test is similar to its balanced counterpart. In almost all simulation experiments, the test is properly sized. Naturally, the lower the power of the test, the higher the share of missing data.

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Year of publication:	2013
Authors:	Pfaffermayr, Michael
Published in:	International Regional Science Review. - Vol. 36.2013, 4, p. 492-506
Subject:	unbalanced panel data \| spatially autocorrelated disturbances \| Cliff and Ord test

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010698639