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AGPRIS (version 2.0)

AGricultural PRoductivity in Space

Description

Functionalities to simulate space-time data and to estimate dynamic-spatial panel data models. Estimators implemented are the BCML (Elhorst (2010), ), the MML (Elhorst (2010) ) and the INLA Bayesian estimator (Lindgren and Rue, (2015) ; Bivand, Gomez-Rubio and Rue, (2015) ) adapted to panel data. The package contains functions to replicate the analyses of the scientific article entitled "Agricultural Productivity in Space" (Baldoni and Esposti (2021), )).

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Version

Install

install.packages('AGPRIS')

Monthly Downloads

284

Version

2.0

License

GPL-3

Maintainer

Edoardo Baldoni

Last Published

June 8th, 2023

Functions in AGPRIS (2.0)

tabSard

Neighbors of NUTS3 of Sardinia
sel_regioni

Merged NUTS3 for simulation exercise
mml

MML estimator
map4

Cropland grid of Northen Italy (100km x 100km squares)
regsamp

Coordinates of simulated farms in Northern Italy
inla.st

Space-time bayesian INLA estimator
map1

Cropland grid of Northen Italy (20km x 20km squares)
sim_data_fe

Simulate space-time stochastic process with fixed-effect
bcml

BCML estimator
distOte

Matrix of technological distance
map3

Cropland grid of Northen Italy (60km x 60km squares)
map2

Cropland grid of Northen Italy (40km x 40km squares)
r20km

Cropland grid of Italy (20km x 20km squares)
r60km

Cropland grid of Italy (60km x 60km squares)
r40km

Cropland grid of Italy (40km x 40km squares)
r100km

Cropland grid of Italy (100km x 100km squares)