Spatial econometrics for misaligned data

Guillaume Allaire Pouliot

Journal of Econometrics, 2023, vol. 232, issue 1, 168-190

Abstract: We produce methodology for regression analysis when the geographic locations of the independent and dependent variables do not coincide, in which case we speak of misaligned data. We develop and investigate two complementary methods for regression analysis with misaligned data that circumvent the need to estimate or specify the covariance of the regression errors. We carry out a detailed reanalysis of Maccini and Yang (2009) and find economically significant quantitative differences but sustain most qualitative conclusions.

Keywords: Spatial econometrics; Gaussian random fields; Large sample distributions; Kriging (search for similar items in EconPapers)
JEL-codes: C21 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:232:y:2023:i:1:p:168-190

DOI: 10.1016/j.jeconom.2021.04.011

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