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...

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...

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

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...

Unmanaged and overgrown coastal heathlands represent a substantial fire hazard. We analyse how this hazard in Norwegian coastal heathlands is influenced by weather conditions, land management, and usage. Our analysis integrates vegetation, maintenance, and management data with emergency response...

This paper analyzes the consequences of the capitalization of development expenditures under IAS 38 on analysts' earnings forecasts. We use unique hand-collected data in a sample of highly research and development (R&D) intensive German listed firms over the period 2000 to 2007. We find that the...