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

Michael Pfaffermayr

International Regional Science Review, 2013, vol. 36, issue 4, 492-506

Abstract: 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.

Keywords: unbalanced panel data; spatially autocorrelated disturbances; Cliff and Ord test (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:36:y:2013:i:4:p:492-506

DOI: 10.1177/0160017613484925

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