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Pemodelan Status Usaha (Pengusaha dan Pekerja/Karyawan) Menggunakan Regresi Logistik Multilevel eko yulian
Jurnal Matematika MANTIK Vol. 3 No. 1 (2017): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (944.175 KB) | DOI: 10.15642/mantik.2017.3.1.30-38

Abstract

The level of a country's economy is directly proportional to the number of entrepreneurs in the country. According to the World Bank standard number of entrepreneurs, the ideal of a country is at least 4% of the total population. Based on data from the Indonesian Young Entrepreneurs Association (HIPMI), the number of entrepreneurs in Indonesia is only about 1.5%. Of course not easy to achieve the ideal number of bank standards-based world that is 4%. This study aims to determine what factors are driving someone in determining a career as an entrepreneur or not (worker/employee). The data used is the Adult Population Survey (APS) in 2013 conducted by the Global Entrepreneurship Monitor (GEM). the survey conducted in 16 provinces, 51 districts/cities, and 176 subdistricts. Data generated hierarchical modeling that will be performed using multilevel logistic regression. The variables studied were the state variable effort (Y), variable knowent (X1), variable opport (X2), variable suskill (X3), variable fearfail (X4), the variable gender (X5) at level 1 and the variable sub-district at level 2. the analysis showed that the logistic regression model 2-level produce a better model than the ordinary logistic regression model. Based on modeling results we concluded that all predictor variables (knowent, opport, suskill, fearfail, gender, etc.) affect the status of one's business.
Pengaruh Modal Sosial Terhadap Kemiskinan Di provinsi Nusa Tenggara Barat Dengan Menggunakan Metode Two Stage Least Square Eko Yulian
Euclid Vol 5, No 2 (2018): EDISI JULI
Publisher : Universitas Swadaya Gunung Jati.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.676 KB) | DOI: 10.33603/e.v5i2.1042

Abstract

Penelitian ini bertujuan menganalisis dampak modal sosial terhadap kemiskinan di provinsi Nusa Tenggara Barat menggunakan analisis regresi.  Permasalahan yang terjadi pada data riil adalah terdapat masalah endogenitas modal sosial di dalam model kemiskinan. Penggunaan metode Ordinary Least Square (OLS) untuk melakukan penaksiran parameter pada kasus ini akan menghasilkan estimator yang bias dan tidak konsisten sehingga metode ini tidak bisa digunakan. Untuk mengatasi masalah tersebut terdapat beberapa metode yang bisa digunakan, salah satunya adalah dengan menggunakan metode two stage least square (2 SLS). Adapun data yang akan digunakan adalah data Survey Sosial Ekonomi Nasional (Susenas) Tahun 2012 provinsi Nusa Tenggara Barat. Dari hasil penelitian diperoleh hasil bahwa modal sosial berpengaruh negatif terhadap kemiskinan.
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