Optimalisasi laboratorium komputer sebagai center of statistical development di Fakultas Ekonomi dan Bisnis Islam IAIN Salatiga

The not yet optimal computer laboratory as a center of statistical development can affect the competencies possessed by students or lecturers in education, research, and community service. So, it is necessary to optimize the computer laboratory as a center of statistical development following the needs of the academic community and industry. Efforts include computer laboratory governance, installing the latest statistical/econometric software in computer laboratories, socialization of computer laboratory usage rules, simulation of data exploration using STATA, Eviews, Shazam software. As a result, these activities have been carried out well, although the authors still find some obstacles, and students can attend training and learn statistical or econometric software needed to support the teaching and learning process.

A Review of Software for Spatial Econometrics in R

The software for spatial econometrics available in the R system for statistical computing is reviewed. The methods are illustrated in a historical perspective, highlighting the main lines of development and employing historically relevant datasets in the examples. Estimators and tests for spatial cross-sectional and panel models based either on maximum likelihood or on generalized moments methods are presented. The paper is concluded reviewing some current active lines of research in spatial econometric software methods.

REAL-TIME PROBABILISTIC NOWCASTS OF UK QUARTERLY GDP GROWTH USING A MIXED-FREQUENCY BOTTOM-UP APPROACH

We propose a nowcasting system to obtain real-time predictive intervals for the first-release of UK quarterly GDP growth that can be implemented in a menu-driven econometric software. We design a bottom-up approach: forecasts for GDP components (from the output and the expenditure approaches) are inputs into the computation of probabilistic forecasts for GDP growth. For each GDP component considered, mixed-data-sampling regressions are applied to extract predictive content from monthly and quarterly indicators. We find that predictions from the nowcasting system are accurate, in particular when nowcasts are computed using monthly indicators 30 days before the GDP release. The system is also able to provide well-calibrated predictive intervals.

PROSPEK PENGEMBANGAN PERBANKAN SYARIAH NASIONAL PASCA UNDANG UNDANG PERBANKAN SYARIAH (ANALISIS DENGAN PENDEKATAN MODEL STATISTIKA CHOW TEST)

This article aims to determine the influence of Undang-Undang Perbankan Syariah (UUPS) on the growth of the Islamic banking industry in Indonesia. The data was analyzed using econometric software, SHAZAM version 10.1. This study employs Ordinary Least Square (OLS), and Chow Test was utilized as a statistical instrument. The findings show that UUPS did not have a significant influence on the growth of Islamic banking in Indonesia. This was indicated by the fact that third party fund (DPK), the number of depositors, and the amount of financing were not growing significantly. In addition, the application of Profit-Loss Sharing (PLS), as the core principle in Islamic banking operation, also did not show any significant change. This was supported by the fact that murabahah product was still dominant within the financing portfolio of Islamic banking in Indonesia. ========================================================================================================Penelitian ini bertujuan untuk mengetahui sejauhmana pengaruh Undang-Undang Perbankan Syariah (UUPS) terhadap pertumbuhan industri perbankan syariah nasional. Metode analisis yang dipakai adalah Ordinary Least Square (OLS), dengan instrumen statistik Chow Test. Pengolahan data menggunakan program ekonometrika SHAZAM Versi 10.1. Hasil penelitian menunjukkan bahwa UUPS tidak mempunyai pengaruh yang signifikan terhadap pertumbuhan industri perbankan syariah secara umum. Dana Pihak Ketiga, Jumlah Nasabah dan Pembiayaan tidak mengalami perubahan sama sekali. Disamping itu, penerapan sistem bagi hasil Profit-Loss Sharing (PLS) yang merupakan prinsip utama operasional perbankan syariah, juga tidak mengalami perubahan yang signifikan. Ini ditunjukkan dengan pembiayaan produk murabahah masih mendominasi portofolio pembiayaan industri perbankan syariah nasional.

Empirical Analysis on the Influence Factors of Inflation in China

To analyze the reasons for current inflation and minimize the adverse effects caused by inflation for people’s life, based on the study of broad measure of money supply and inflation, the effect of consumer confidence index with inflation was studied. In this paper, relevant theories and knowledge were applied such as regression analysis method and economics to build the model on relationship among broad measure of money supply (M2), consumer confidence index (CCI) and the inflation through econometric software Eviews 6.0. The conclusion was drawn that there were relevance between the two compared factors and inflation. All these findings would be of use to analyze the reasons for inflation more perfect and be useful references to the research for the future.