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...

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...

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...

A new method for constructing R&D capital stocks is proposed. Following Schumpeter, the development of R&D capital stocks is modelled as a process of creative destruction. Newly generated knowledge is assumed not only to add to the existing R&D capital stocks but also, by displacing old...