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ESTIMASI PARAMETER MODEL PROBIT PADA DATA PANEL MENGGUNAKAN OPTIMASI BFGS
Barekeng, 2020 One model that may explain the pattern of the relationship between the categorical dependent variable and the independent variables is probit regression. In the probit regression, the independent variable can be categorical or continuous.
Halistin Halistin +3 more
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Cogent Engineering, 2023 This study intended to investigate the injury severity of animal-vehicle crashes (AVCs) and identify the contributing factors from the perspective of animals.
Quan Yuan +5 more
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Sparse probit linear mixed model [PDF]
Machine Learning, 2017 Published version, 21 pages, 6 ...
Stephan Mandt +5 more
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Land, 2022 In the context of continuous improvement in China’s land system, the development of the rural economy is insufficient, and the growth of farmers’ income lacks sustainable momentum.
Xiang Li, Hyukku Lee
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The informative value of central banks talks: a topic model application to sentiment analysis
Data Science in Finance and Economics, 2022 Central banks communication has lately become an important tool to guide expectations and its impact on the economy has been acknowledged by the literature. Nowadays central banks speeches face an increasing variety of topics, which are not discriminated
Maria Paola Priola +3 more
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Factors Affecting Adaptation to Climate Change through Agroforestry in Kenya
Land, 2021 The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems.
Kevin Pello +3 more
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Objective Bayes model selection in probit models [PDF]
Statistics in Medicine, 2011 We describe a new variable selection procedure for categorical responses where the candidate models are all probit regression models. The procedure uses objective intrinsic priors for the model parameters, which do not depend on tuning parameters, and ranks the models for the different subsets of covariates according to their model posterior ...
Luis, Leon-Novelo +2 more
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MNP: R Package for Fitting the Multinomial Probit Model
Journal of Statistical Software, 2005 MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the
David A. Van Dyk, Kosuke Imai
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La inclusión financiera en Sincelejo (Colombia). Un modelo econométrico probit
Ecos de Economía, 2018 En este trabajo se examina la relación entre la inclusión financiera y la pobreza monetaria de los hogares del municipio de Sincelejo, departamento de Sucre (Colombia), y se confirma la correlación entre las dos variables a través de un modelo ...
Alfredo Rafael Anaya Narváez +1 more
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The effects of schooling on rural unemployment in Ethiopia
Cogent Economics & Finance, 2023 Nowadays, education is considered an instrument that we use to eradicate poverty. It is also presumed as an indicator of modernization and a development realization tool.
Abdisa Olkeba +5 more
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