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Likelihood-Based Inference and Prediction in Spatio-Temporal Panel Count Mode...
We develop a panel count model with a latent spatio-temporal heterogeneous state process for monthly severe crimes at the census-tract level in Pittsburgh, Pennsylvania. Our... -
Identification of Spatial Durbin Panel Models (replication data)
This paper considers identification of spatial Durbin dynamic panel models under 2SLS and ML estimations. We show that the parameters are generally identified via 2SLS moment... -
Endogenous Spatial Regression and Delineation of Submarkets: A New Framework ...
Housing submarkets have been defined by different criteria: (i) similarity in house attributes; (ii) similarity in hedonic prices; and (iii) substitutability of houses. We show... -
A Two-Stage Approach to Spatio-Temporal Analysis with Strong and Weak Cross-S...
An understanding of the spatial dimension of economic and social activity requires methods that can separate out the relationship between spatial units that is due to the effect... -
The effect of location on finding a job in the Paris region (replication data)
Do spatial differences in unemployment duration reflect residential sorting or a true local effect? Focusing on the 1300 municipalities of the Paris region, we apply a... -
Robust inference concerning recent trends in US environmental quality (replic...
Understanding trends in environmental quality is important for individuals and policymakers. Typically, trends in environmental quality are determined solely through comparisons...
