This paper demonstrates how satellite images and other geographic data can be used to predict land use. A cross-section model of land use is estimated with data for a region in central Mexico. Parameters from the model are used to examine the effects of reduced human activity. If variables that...

This paper proposes to measure the extent of the influence of transportation systems on land use change. With a set of high-resolution land use data for the Twin Cities, Minnesota, metropolitan region, logistic regression models of land use change are estimated for a 10-year period from 1990 to...

The use of Markov processes (or Markov chains) has become widespread in dynamic stochastic modeling. For example, its use is ubiquitous in macroeconomics (dynamic stochastic general equilibrium), finance (dynamic asset pricing), and areas of microeconomics (dynamic programming). As we discuss...

We examine the value of climate forecasts to agricultural producers in a small watershed in southeast Alabama. To carry out the analysis, SWAT is used to divide the Kelly Creek watershed into 77 subwatersheds, according to soil type and topography; then APEX is used to simulate crop yield...

The Algarve region in Portugal is often considered as one of the most appealing regions for tourism in the country. Its attractive location and moderate climate have since the mid-1960s brought increasing economic prosperity. As a result of the development of mass tourism, available land-use...

Using machine learning (ML) models, we predict the population growth for the next two, five, and ten years for American and Chinese urban areas. To this end, we construct a rich city-level data set encompassing information on transportation, output, amenities, and human capital. The ML models...

En este trabajo se determina el potencial de valorización del metro cuadrado de suelo (metro cuadrado del lote) de los barrios de la ciudad de Barranquilla (Colombia), a partir de datos mensuales para el periodo comprendido entre 2001 y 2011. Se utiliza información de avalúos inmobiliarios,...

This paper applies a non-parametric heteroscedasticity and autocorrelation consistent (HAC) estimator of error terms in the context of the spatial autoregressive model of GDP per capita convergence of European regions at NUTS 2 level. By introducing the spatial dimension, it looks how the...

В статье рассматривается содержание методики оценки параметров экономического цикла и формирования опережающих индикаторов в пищевой промышленности, которая...

Microeconomic applications of semi-parametric models with an endogenous variable have been largely ignored. Recognizing spatial heterogeneity captured by semi-parametric cost function models can impact economies of scale estimates. We estimate several cost function models, using panel data for...