Aplikasi Dan Analisis Statistik Menggunakan Stata Untuk Tsls, Probit, Logit, Dan Tobit
DOI:
https://doi.org/10.61132/jepi.v2i1.281Keywords:
TSLS, Probit, Logit, Tobit, StataAbstract
This module discusses the application and statistical analysis using Stata software for Two Stage Least Square (TSLS), Probit, Logit and Tobit models. These models are very useful for overcoming problems of endogeneity, censored data, and binary dependent variables in econometric analysis. This paper aims to provide practical guidance for estimating and interpreting the results of the four models using hypothetical case studies. The demonstration results are discussed critically to provide guidance for readers in applying these models to quantitative research.
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References
Esteriana, G., Ompusunggu, D. P. (2023). Analisis Pengaruh Fluktuasi Nilai Tukar Terhadap Pengembalian Bitcoin: Pendekatan Deret Waktu dalam Perspektif Keuangan Digital. EKONOM: Jurnal Ekonomi dan Bisnis, 3(1), 68–73.
Firdausya, L. Z., & Ompusunggu, D. P. . (2023). Usaha Mikro Kecil Dan Menengah (Umkm) Di Era Digital Abad 21 Micro, Small And Medium Enterprises (Msme) The Digital Age Of The 21st Century. Tali Jagad Journal, 1(1), 16–20.
Hukom, A., & Ompusunggu, D. P. (2023). Pengantar Ilmu Ekonomi. Jakarta: Penerbit Qiara Media .
Ompusunggu, D. P. (2023). Diagnostik-Diagnosis-Solusi-Model Untuk Masalah Runtut Waktu dan Silang Tempat, (No.dr3bp). Center for Open Science.
Ompusunggu, D. P. (2023). Pendekatan Manual ARDL Pada Kointegrasi (STATA & Microfit).