Family and economic growth in Poland. New estimation results
Economic growth is mostly explained by investments and employment growth. Since the mid-1990s various social categories have been introduced into the economic growth analysis, such as trust, crime and income inequality, etc.
Jan Jacek Sztaudynger
doaj +1 more source
Econometric model as an instrument for analysing structural changes in fisheries management of lakes [PDF]
The econometric model can be a precise instrument for analysing the impact of natural environment deterioration on the fishing economy. The paper presents the results of empirical studies regarding the influence of water quality changes (water pollution)
Marek Ramczyk
doaj +1 more source
Economic Analysis of Innovation Development Processes in Agriculture of the Republic of Uzbekistan
The article provides econometric analysis of agricultural production efficiency in the Republic of Uzbekistan. As methodology for identifying the impact of land, labour resources and capital on the net output of agriculture Kobba - Douglas production ...
I. B. Rustamova, M. M. Babadjanova
doaj +1 more source
Spatial Weighting Matrix Selection in Spatial Lag Econometric Model [PDF]
This paper investigates the choice of spatial weighting matrix in a spatial lag model framework. In the empirical literature the choice of spatial weighting matrix has been characterized by a great deal of arbitrariness.
Kostov, Phillip
core +1 more source
How do current and past mining activities affect water security, health, and economic opportunities?
Abstract This paper investigates the effect of mining activities on health care, income and water deprivations in Africa. By combining household data with mining locations, we conducted an econometric analysis to assess the impact of mining on self‐reported water security, health, and economic opportunities for 142,838 households.
Raymond Boadi Frempong+2 more
wiley +1 more source
Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets [PDF]
The prediction of financial markets is a challenging yet important task. In modern electronically-driven markets, traditional time-series econometric methods often appear incapable of capturing the true complexity of the multi-level interactions driving the price dynamics.
arxiv
Abstract Extreme weather events are worsening the fragile rural infrastructure in the United States, impacting trade flows of agricultural products. The Mississippi River, vital for transporting agricultural commodities, reached historic lows during the 2022 and 2023 fall harvests, increasing transportation costs and lowering crop prices.
James L. Mitchell, Hunter D. Biram
wiley +1 more source
Mathematical Modeling of the Relationship between Employment and Living Standards of the Rural Population [PDF]
The article is aimed at building a econometric model of the relationship between employment of the rural population of Ukraine and its standard of living, as well as studying the possibilities of using the model to substantiate measures for the ...
Makhsma Mariia B. , Voloshchuk Sergii D.
doaj
Can LSTM outperform volatility-econometric models? [PDF]
Volatility prediction for financial assets is one of the essential questions for understanding financial risks and quadratic price variation. However, although many novel deep learning models were recently proposed, they still have a "hard time" surpassing strong econometric volatility models. Why is this the case?
arxiv
The effect of geographical denomination on the uptake of fungus‐resistant grapes
Abstract Grape production for wine making is of great economic and cultural importance in Europe, but is heavily dependent on pesticides. Reducing pesticide use and associated risks is a policy goal in several countries, particularly in Europe. The most effective strategy to substantially reduce pesticide use in grape production is the planting of ...
Lucca Zachmann+2 more
wiley +1 more source