Results 81 to 90 of about 132,600 (302)
Multicollinearity and importance of exploratory variables.
, 2022 Multicollinearity and importance of exploratory variables.
Ishmael Yaw Dadson (12822239) +3 more
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Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Rice is the main staple food for more than half of the world's population and the income from rice is an essential source for livelihoods of millions of households. We examine whether direct seed in rice production is an adaptation of rice farmers to rainfall changes and farm labor scarcity.
Manh Hung Do
wiley +1 more source
A New Kibria-Lukman-Type Estimator for Poisson Regression Models
Acta InfologicaOne of the most important models for the analysis of count data is the Poisson Regression Model (PRM). The parameter estimates of the PRM are obtained by the Maximum Likelihood Estimator (MLE).
Cemal Çiçek, Kadri Ulaş Akay
doaj +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley +1 more source
Jurnal Biometrika dan Kependudukan, 2018 Correlation between independent variables in multiple linear regression model called multicollinearity. One of the assumptions of multiple linear regression free from multicollinearity problem. Principal Component Analysis (PCA) method in this study aims
Fita Mega Kusuma, Arief Wibowo
doaj +1 more source
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Multicollinearity diagnostics across study periods (unweighted).
, 2023 Multicollinearity diagnostics across study periods (unweighted).
Daisy Fancourt (3179889) +2 more
core +1 more source
Genetic divergence of common bean lines for agronomic traits by hierarchical methods considering multicollinearity [PDF]
Revista Ciência AgronômicaGenetic divergence for agronomic traits in common bean lines can be analyzed with and without multicollinearity and by different hierarchical methods, which can lead to errors in the interpretation of results obtained from dendrograms.
Nerinéia Dalfollo Ribeiro +5 more
doaj +1 more source
How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang +4 more
wiley +1 more source
Principal component regression for solving multicollinearity problem [PDF]
, 2015 Multicollinearity often causes a huge explanatory problem in multiple linear regression analysis. In presence of multicollinearity the ordinary least squares (OLS) estimators are inaccurately estimated.
Peiris, T.S.G, Alibuhtto, M.C
core