hspm

Spatial heterogeneity can be specified in various ways. 'hspm' is an ambitious project that aims at implementing various methodologies to control for heterogeneity in spatial models. The current version of 'hspm' deals with spatial and (non-spatial) regimes models. In particular, the package allows to estimate a general spatial regimes model with additional endogenous variables, specified in terms of a spatial lag of the dependent variable, the spatially lagged regressors, and, potentially, a spatially autocorrelated error term. Spatial regime models are estimated by instrumental variables and generalized methods of moments (see Arraiz et al., (2010) doi:10.1111/j.1467-9787.2009.00618.x, Bivand and Piras, (2015) doi:10.18637/jss.v063.i18, Drukker et al., (2013) doi:10.1080/07474938.2013.741020, Kelejian and Prucha, (2010) doi:10.1016/j.jeconom.2009.10.025).

Last 30 days

This package has been downloaded 212 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,860 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 149 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.