Abstract
This paper, on the one hand, proposes a statistical technique to detect potential causal relationships when the researcher has georeferenced data but not time dimension, and, on the other, applies this new methodology to the analysis of potential partial causal determinants of home prices. In particular, we find that the direction of causality for home prices in California goes from the income level to prices.
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Notes
The k-nearest neighbors is a criterion that works in the following form: for each unit, the Euclidean distance from all the other units is calculated and sorted in an increasing order. The neighbors for each unit are then taken to be the nearest k of those units. In case two units are at the same euclidean distance, we take as neighbor the one with smaller angle in polar coordinates.
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Acknowledgements
M. Ruiz Marín was supported by Ministerio de Ciencia, Innovacón y Universidades under grant number PID2019-107800GB-I00/AEI/10.13039/501100011033. This study was also part of the collaborative activities carried out under the programs of the region of Murcia (Spain): ‘Groups of Excellence of the region of Murcia, the Fundación Séneca, Science and Technology Agency’ project 19884/GERM/15. Mariano Matilla-García was funded by the Ministerio de Ciencia e Innovación under grant PID2019-107192GB-I00.
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Herrera-Gomez, M., Matilla-Garcia, M. & Ruiz-Marin, M. Spatial partial causality. Eur. Phys. J. Spec. Top. 231, 1735–1739 (2022). https://doi.org/10.1140/epjs/s11734-021-00378-5
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DOI: https://doi.org/10.1140/epjs/s11734-021-00378-5