Sources Economic Databank

Sharia Securities List or Daftar Efek Syariah (DES) is a collection of securities that not inconsistent with Sharia Principles in Capital Market, stipulated by the Indonesian Financial Services Authority or Otoritas Jasa Keuangan (OJK) Indonesia. The DES is an investment guide for Sharia Mutual Funds in placing its managed funds and can also be used by investors who have a desire to invest in Sharia Securities portfolio. DES published by OJK can be categorized into 2 types namely Periodical and Incidental. Periodical DES is a periodically published DES at the end of May and November each year. Incidental DES is issued for the determination of shares that meet the criteria of Sharia securities along with the effective registration statement of Issuer conducting an Initial Public Offering or Public Company Registration Statement. In addition, the issuance of Incidental DES is used in determining the shares of Issuers and / or Public Companies that meet the criteria of Sharia securities based on periodic financial reports submitted to OJK after the DES Decree periodically is stipulated.

Sharia Stock Statistic is a collection of market capitalization, number of listed Sharia stock, and the development of Sharia stock, which is endorsed by OJK (Indonesia Financial Service Authority). Market Capitalization in Sharia stock statistic consists of Jakarta Islamic Index, Indonesia Sharia Stock Index, and Jakarta Composite Index. Therefore number of Sharia Stock in Sharia Securities List consists of Stock Issuer, Stock Public Company, Stock Unlisting Issuer, and Stock IPO. More over Development of Sharia Stock shows the number of sharia stock that issued in every period.

Sharia mutual fund database is a collection which consist of the development of sharia mutual fund, number and net asset value (NAV) of sharia mutual fund, and list of sharia mutual fund, which is endorsed by OJK (Indonesia Financial Service Authority). The development of sharia mutual fund shows the number of sharia mutual fund in every period. Then total NAV of sharia mutual fund can be inferred from the product types and number of sharia mutual fund. List of sharia mutual fund consists of sharia mutual fund name, investment manager, custodian bank, effective date, and type of  sharia mutual fund.

Sharia bond or sukuk database is a collection of a corporate sukuk issuance and corporate sukuk outstanding, list of sukuk outstanding, and list of repaid sukuk, which is endorsed by OJK (Indonesia Financial Service Authority). The data shows the development of corporate sukuk issuance and corporate sukuk outstanding starting from 2002. From  list of sukuk outstanding and repaid sukuk, it can be inferred some aspects like securities name, type of contracts, issuer, effective date, listing date, maturity date, and value in rupiah.

Sharia non bank database is a collection of non bank institution that do not in contrary with Sharia principles, which is endorsed by OJK (Indonesia Financial Service Authority). Non bank institution consist of sharia insurance, sharia finance company, sharia venture capital company, and sharia micro finance institution, The balance sheet, perormance, an d the other financial aspects from all types of non bank institution can be found in this data.

As Indonesia’s central bank, Bank Indonesia also provides information and data through its website. BI Provides regional monetary and financial economic data, payment statistics, banking statistics and metadata provided by BI. BI also has a special page for Islamic Banking, which is available in both the monthly and annual periods. In addition, this website also uploaded some reports of sharia economic and financial statistics. One of the mandatory references for researchers in the field of Islamic economics and finance in Indonesia.

Macroeconomic and development data at individual, household and community levels. The data available in this time series website (1960-2014) covers 214 countries in the world. The data in WDI are among the most complete so many references which use this database to various studies.

Database related to governance indicators, (1) voice and accountability; (2) Political Stability and the Absence of Violence; (3) Government effectiveness; (4) Rules of Quality Regulation Rules; (5) Control of Corruption. Data in this database can be in the form of time series (1996-2013) and covers 215 countries.

Data related to international trade in the form of monthly, quarterly and yearly. The site covers export and import data of various commodities with a wide range of products. Moreover, this database has data with various countries. Many writings from journals and working papers use the data contained in this page.

The IMF website presents for its users all the macro data held by IMF members. The data is available in monthly, quarterly, and yearly form. Data sharing is based on institutions within the IMF that collect such data, among others: (1) International Financial Statistics (IFSs) in the form of macroeconomic variable data; (2) Balance of Payment Statistics (BOPs) concerning the balance of payment of members of the IMF in aggregate; (3) The Direction of Trade Statistics which has export-import data from all IMF Member States.

OECD Statistic deliver macroeconomic data and other economic variables from member countries. The data are related to education, health, globalization, investment, industry and services, finance, and so forth. Generally available data is annual data.

National Bureau Economic Research (NBER) is committed to undertaking and disseminating research in economics devoted to vision, business, and scientific communities. In their website, NBER provides data on macroeconomics, industrial, financial, demographic, healthcare, patent and scientific papers, and other individual data developed by economists in the field of economics.

Provide data from both conventional and shariah banking sectors, capital markets, and non-bank institution (insurance, pension funds, financial institutions and other financial institutions).

Provide data on regional budgets throughout Indonesia.

Provide labor-related data around the world

Annual economic and policy data in Indonesia to city / county level

Provide data related to governance.

Indonesia data of economic and trade, social and population, and agriculture and mining.

Provides input, output, and productivity data.

The Indonesian Family Life Survey (IFLS) is an on-going longitudinal survey in Indonesia. The sample is representative of about 83% of the Indonesian population and contains over 30,000 individuals living in 13 of the 27 provinces in the country. The map below identifies the 13 IFLS provinces in the IFLS. The first wave of the IFLS (IFLS1) was conducted in 1993/94 by RAND in collaboration with Lembaga Demografi, University of Indonesia. IFLS2 and IFLS2+ were conducted in 1997 and 1998, respectively, by RAND in collaboration with UCLA and Lembaga Demografi, University of Indonesia. IFLS2+ covered a 25% sub-sample of the IFLS households. IFLS3, which was fielded in 2000 and covered the full sample, was conducted by RAND in collaboration with the Population Research center, University of Gadjah Mada. The fourth wave of the IFLS (IFLS4), fielded in 2007/2008 covering the full sample, was conducted by RAND, the center for Population and Policy Studies (CPPS) of the University of Gadjah Mada and Survey METRE. The fifth wave of the IFLS (IFLS-5) was fielded 2014-15.

Provide survey data conducted by World Bank