This chapter covers the extension of the non-linear models that are commonly used in empirical microeconomics to allow for cross-sectional dependence that can be captured via a proximity or spatial weighting matrix. It starts with brief overview of the spatial econometric methods and challenges in the empirical work with spatial data. Next, it proceeds to the detailed analysis of spatial autoregressive nonlinear probit models, including the calculation of marginal effects, with an example of an empirical application in labour economics using available packages in R.

Spatial Autoregressive Nonlinear Models in R with an Empirical Application in Labour Economics / Anna Gloria Billé. - STAMPA. - (2021), pp. 23-41. [10.4337/9781788976480.00008]

Spatial Autoregressive Nonlinear Models in R with an Empirical Application in Labour Economics

Anna Gloria Billé
Primo
2021

Abstract

This chapter covers the extension of the non-linear models that are commonly used in empirical microeconomics to allow for cross-sectional dependence that can be captured via a proximity or spatial weighting matrix. It starts with brief overview of the spatial econometric methods and challenges in the empirical work with spatial data. Next, it proceeds to the detailed analysis of spatial autoregressive nonlinear probit models, including the calculation of marginal effects, with an example of an empirical application in labour economics using available packages in R.
2021
Handbook of Reseach Methods and Applications in Empirical Microeconomics
23
41
Spatial Autoregressive Nonlinear Models in R with an Empirical Application in Labour Economics / Anna Gloria Billé. - STAMPA. - (2021), pp. 23-41. [10.4337/9781788976480.00008]
Anna Gloria Billé
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/853802
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