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...

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...

An important subset of the literature on agglomeration externalities hypothesizes thatintrasectoral and intersectoral relations are endogenously determined in models of localand regional economic growth. Remarkably, structural adjustment models describing thespatio-temporal dynamics of...

The goal of this paper is to propose a model to produce nowcasts of GDP growth of Spanish regions, by means of dynamic factor models. This framework is capable to incorporate in a parsimonious way the relevant information available at the time that each forecast is made. We employ a Bayesian...

The monitoring of the regional economic situation takes on particular importance in highly decentralised countries, such as Spain. Against this background, this article summarises the key aspects of the BayFaR model (Bayesian Factor model for Regions), a new tool used by the Banco de España for...

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...

Global warming, sea level rise, and extreme weather events have made climate change a top priority for policymakers across the globe. But which policies are best suited to tackle the enormous challenges presented by our changing climate? This Article proposes that policymakers turn to prediction...

This paper introduces a simple, frequently and easily updated, close to the data epidemiological model that has been used for near-term forecast and policy analysis. We provide several practical examples of how the model has been used. We explain the epidemic development in the UK, the USA and...