Results 131 to 140 of about 1,024,956 (306)
Food insecurity and unemployment among immigrants in the United States
American Journal of Agricultural Economics, EarlyView.Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou +3 more
wiley +1 more source
Enhancing Electricity Consumption Forecasting in The Republic of Kazakhstan Using Machine Learning
Journal of Applied Engineering and Technological ScienceAccurate electricity consumption forecasting is critical for optimizing energy management and ensuring grid stability. This study uses advanced machine learning techniques to enhance electricity consumption forecasting in the Republic of Kazakhstan. The
Vladimir Madin +4 more
doaj +1 more source
Exponential Smoothing Model Selection for Forecasting [PDF]
Applications of exponential smoothing to forecast time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to select the method appropriate to
Baki Billah +3 more
core
Improving access to new technologies: An experiment with Kenyan input sellers
American Journal of Agricultural Economics, EarlyView.Abstract Agrodealers play a critical role in rural economies, selling essential inputs for agricultural production, stocking new products, and providing farmers with technical advice. However, uncertainty can discourage them from stocking newer, less familiar products, limiting the availability of innovative technologies and leading to market failures ...
Sarah W. Kariuki +6 more
wiley +1 more source
A new grey seasonal multivariate forecasting model and its application in energy consumption
Energy Strategy ReviewsAccurate energy consumption forecasting is of critical importance, as it enables governments, industries, and individuals to effectively plan for energy supply and demand, thereby reducing the risks associated with both oversupply and shortages.
Jianming Jiang +3 more
doaj +1 more source
Nonparametric modeling and forecasting electricity demand: an empirical study [PDF]
This paper uses half-hourly electricity demand data in South Australia as an empirical study of nonparametric modeling and forecasting methods for prediction from half-hour ahead to one year ahead.
Han Lin Shang
core
Regional-seasonal weather forecasting
, 1980 In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not ...
Foley, H. +5 more
core +1 more source
Firm turnover under asymmetric information: Tanzania's agro‐dealer sector
American Journal of Agricultural Economics, EarlyView.Abstract We study firm turnover (i.e., entry and exit) and its consumer implications in a market characterized by asymmetric information. Using a three‐round census of agro‐dealers in Tanzania's Morogoro Region, we document annual firm entry and exit rates of 33% and 17%, respectively.
Alix Naugler +3 more
wiley +1 more source
A simplified seasonal forecasting strategy, applied to wind and solar power in Europe.
Clim Serv, 2022 Bett PE +7 more
europepmc +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract We estimate the long‐run effect of ethanol plant entry on local corn prices using a long‐horizon difference‐in‐differences framework that combines matching with fixed effects while explicitly accounting for treatment intensity and spatial heterogeneity.
Jinho Jung +2 more
wiley +1 more source