Pemodelan Indeks Pembangunan Manusia (IPM) Menggunakan Model Probit dan Model Probit Spasial

نویسندگان

چکیده

Indeks Pembangunan Manusia (IPM) merupakan suatu indikator penting untuk menentukan ketercapaian kualitas hidup manusia. Penelitian ini bertujuan faktor – yang dapat mempengaruhi tingginya angka IPM dengan memodelkan menggunakan model regresi probit dan spasial. Pemodelan menyatakan bahwa variabel berpengaruh hanya satu kemampuan mengelompokkan sebesar 39%. Sementara itu, spasial ada tiga 45%. Dilihat dari banyaknya berpengaruh,dan dalam ,model lebih efektif dibandingkan probit.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computational aspects of probit model

Sometimes the maximum likelihood estimation procedure for the probit model fails. There may be two reasons: the maximum likelihood estimate (MLE) just does not exist or computer overflow error occurs during the computation of the cumulative distribution function (cdf). For example, the approximation explosive effect due to an inaccurate computation of the cdf for a large value of the argument o...

متن کامل

Using a Mixed Probit Model

A mixed probit model was applied to survey data toanalyze consumers’ wilingness to buy apples with cosmetic damage caused by the sooty blotch and flyspeck (SBFS) disease complex. The analysis finds consumers will pay a premium for organic production methods and for apples with low amounts of SBFS damage. Behavioral variables such as experience in growing fruit significantly affect the willingne...

متن کامل

Objective Bayes model selection in probit models.

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 probabilities. When the number of covariates is moder...

متن کامل

Estimability in the Multinomial Probit Model

Random utility models often involve terms which represent alternative-specific errors, and the main attractive feature of the multinomial probit (MNP) model is that it allows a rather general covariance structure for these errors. However, since observed choices only reveal information regarding utility differences, and since scale cannot be determined, not all parameters in an arbitr~iry MNP s...

متن کامل

Convenient estimators for the panel probit model:

Bertschek and Lechner (1998) propose several variants of a GMM estimator based on the period specific regression functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the possibly excessive amount of time involved in maximum simulated likelihood estimation. But, for applications of the size considered in their study, full likeliho...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: JMPM (Jurnal Matematika dan Pendidikan Matematika)

سال: 2022

ISSN: ['2502-986X', '2502-9878']

DOI: https://doi.org/10.26594/jmpm.v7i1.2474