In the current development, decision making cannot be separated from the quantitative analysis. Quantitative analysis will provide information on current conditions that can help decision makers to map or develop alternative policies or decisions in accordance with the real conditions. However, if quantitative analysis is not carried out using the right methodology, then the analysis can provide inappropriate or even wrong direction of recommendations. Therefore, it is very important for the parties who involved in the decision making process to have good quantitative analytical skills.
Based on WHO data (2015), maternal mortality rate in Indonesia reached 190 per 100,000 live births. This rate is higher than most countries in Southeast Asia, such as Singapore is 18 per 100,000 live births. Based on the same source of data, life expectancy in Indonesia (i.e. 71 years old) is quite low compared to other countries. Some developed countries, such as Japan, Singapore, United Kingdom, and Germany, have life expectancy of over 80. Meanwhile, the malnutrition percentage in 0-59 months old children is 14.4% (Ministry of Health, 2017). This percentage is above the threshold set by WHO, i.e. 10%.
The Government of Indonesia (GoI) has issued Presidential Regulation No. 82/2016 on National Strategy for Inclusive Finance (Strategi Nasional Keuangan Inklusif/SNKI). In SNKI, GoI set a target to reach the level of financial inclusion by 75% in 2019. Global Findex data in 2017 shows that the level of financial inclusion in Indonesia is around 48.9% in 2017. Therefore, on average, it is needed an increase of financial inclusion level by 13% in every year to achieve the target.
Financial inclusion is the key of success for the development in a country. According to World Bank (2008), financial inclusion is an absence of price or non-price barriers in the use of financial services. Therefore, accessibility to the financial sector is a key point to create an inclusive financial system.
Central Bureau of Statistics (BPS) data shows that the percentage and number of poor people in Indonesia has decreased from 11.47% (28 million people) in September 2013 to 10.70% (27 million people) in September 2016. However, the level of inequality in Indonesia has increased. The ratio of Gini of Indonesia increased consistently from 0.33 in 2002 to 0.40 in 2016. Therefore, there should be efforts to improve the equality of economic growth. Increased access to financial services is one way to achieve inclusive growth. One of the pillars of inclusive growth is financial inclusion (World Economic Forum, 2017).
DEFINIT was appointed by DIE (German Development Institute, a German leading think-tank institution) and GPFI (Global Partnership for Financial Inclusion) to conduct this study. This study addressed the motivation and bottlenecks for adopting sustainability standards in SMEs linked to Global Value Chains (GVCs) and the subsequent demand for finance. The study was underpinned by five country case studies in Brazil, China, India, Indonesia and South Africa which were synthesized into a joint study by DIE. An extract of this study was incorporated as a contextual chapter into the stocktaking study of IFC on “Leveraging Financial Services for Small and Medium-sized Enterprises (SMEs) in Sustainable Global Value Chains (GVCs)”. The stocktaking study had been commissioned by the SME Finance Subgroup of the GPFI as a deliverable under the German G20 presidency.
Pelatihan Time Series and Panel Data for Practitioners Using STATA didesain untuk membantu peserta dalam mengelola, mengolah, dan menganalisis data untuk menghasilkan kesimpulan yang tepat dan memformulasikan rekomendasi kebijakan yang aplikabel. Peserta akan dibekali dengan pengetahuan untuk menerjemahkan informasi yang mereka miliki menjadi strategi yang praktis dan sesuai dengan dunia nyata sehingga dapat memberikan keunggulan yang konkret.
Introduction to STATA
Basic Regression Model:
Spurious Regression (what, how to identify, and how to deal with it)
Autoregressive Distributed Lag (ADL) Models
General to Specific Approach
Unit Root Tests (Testing for Stationarity)
Residual Based Cointegration Test
Johansen Cointegration Test
Forecasting and Volatility Modelling:
ARMA and ARIMA
ARCH and GARCH
Panel Data Model (Fixed Effect and Random Effects)
Panel Unit Root (lm, Pesaran, Shin Unit Root Test)
(Promoting and Accelerating National Development Opportunities in Rural Areas)
Accelerating the development of Indonesia can be driven based on the strengths of the villages. However, 64% of Indonesian villages are still relatively underdeveloped or very poor. In the following video, see how DEFINIT supports the promoting and accelerating national development opportunities in rural areas through its PANDORA Project.