Efektivitas kebijakan makro prudensial Bank Indonesia
S kripsi ini membahas tentang efektivitas kebijakan makroprudensial Bank Indonesia dalam mengontrol kredit properti. Variabel bebas yang digunakan meliputi variabel dummy dari loan to value, suku bunga kredit konsumsi, produk domestik bruto, dan variabel interaksi dari loan to value dengan suku bunga kredit konsumsi serta variabel terikat yaitu kredit properti. Metode yang digunakan dalam skripsi ini adalah metode data panel. Penelitian ini bertujuan untuk mengetahui apakah efektif instrumen kebiijakan makroprudensial (loan to value) yang diterapkan di Indonesia. Hasil penelitian menunjukkan instrumen kebijakan makroprudensial (loan to value) efektif dalam mengontrol kredit properti. Kemudian secara serentak keempat variabel bebas berpengaruh signifikan terhadap kredit properti dan secara parsial variabel suku bunga kredit konsumsi tidak berpengaruh signifikan terhadap kredit properti. Berdasarkan hasil uji koefisien integrasi, kemampuan variabel-variabel bebas pada model dalam menjelaskan perubahan variabel terikat sebesar 62.68 %.
T his thesis discusses the effectiveness of macroprudential policies of Bank Indonesia in the control of property loans. The independent variables used include dummy variables of the loan to value, interest rates on consumer loans, gross domestic product, and the interaction variables of loan to value with interest rates on consumer credit and the dependent variable is the property loans. The method used in this thesis is the method of panel data. This study aims to determine whether kebiijakan effective macroprudential instruments (loan to value) is applied in Indonesia. The results showed macroprudential policy instruments (loan to value) is effective in controlling property loans. Then four independent variables simultaneously significant effect on real estate loans and partial variable interest rates on consumer credit no significant effect on property loans. Based on the test results the coefficient of integration, the ability of independent variables in the model in explaining the dependent variable change of 62.68%.