Spatial two stage least squares (S2SLS) with results and diagnostics. More details can be found in the following reference, Luc Anselin. Spatial Econometrics: Methods and Models. Kluwer. Dordrecht, 1988.
Note: The input table should not contain missing values. You can use the Missing Value node to replace them.
Select the geometry column to use.
Select the column which contains for each observation in the input data a unique ID, it should be an integer column. The IDs must match with the values of the Spatial Weights node ID column. If 'none' is selected, the IDs will be automatically generated from 0 to the number of rows flowing the order of the first input table.
The column containing the dependent variable to use for the calculation of Spatial 2SlS.
The columns containing the independent variables to use for the calculation of Spatial 2SlS.
Orders of W to include as instruments for the spatially lagged dependent variable. For example, w_lags=1, then instruments are WX; if w_lags=2, then WX, WWX; and so on.
If selected, the node computes the Anselin-Kelejian test
If ‘white’, then a White consistent estimator of the variance-covariance matrix is given. If ‘hac’, then a HAC consistent estimator of the variance-covariance matrix is given. Set to None for default.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension Geospatial Analytics Extension for KNIME from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.