Bahamas BS: Inflation:(GDP) Gross Domestic ProductDeflator data was reported at 6.344 % in 2023. This records an increase from the previous number of 4.301 % for 2022. Bahamas BS: Inflation:(GDP) Gross Domestic ProductDeflator data is updated yearly, averaging 3.049 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 73.229 % in 1997 and a record low of -2.635 % in 2020. Bahamas BS: Inflation:(GDP) Gross Domestic ProductDeflator data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bahamas – Table BS.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;Median;

Question Paper Solutions of chapter Inflation and Unemployment of Macroeconomics and Advanced Business Mathematics, Semester V , Bachelors of Commerce (Honours)

通货膨胀：国内生产总值平减指数：联动系列在12-01-2023达6.344%，相较于12-01-2022的4.301%有所增长。通货膨胀：国内生产总值平减指数：联动系列数据按年更新，12-01-1990至12-01-2023期间平均值为1.547%，共34份观测结果。该数据的历史最高值出现于12-01-2023，达6.344%，而历史最低值则出现于12-01-2020，为-2.635%。CEIC提供的通货膨胀：国内生产总值平减指数：联动系列数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的巴哈马 – Table BS.World Bank.WDI: Inflation。

Question Paper Solutions of Macroeconomics and Advanced Business Mathematics (DSE 5.1 A),Semester V,Bachelors of Commerce (Honours),University of Calcutta

Bahamas BS: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 33,330.000 USD in 2023. This records an increase from the previous number of 31,780.000 USD for 2022. Bahamas BS: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 10,950.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 33,330.000 USD in 2023 and a record low of 1,460.000 USD in 1962. Bahamas BS: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bahamas – Table BS.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Question Paper Solutions of chapter Circular Flow of Income of Macroeconomics and Advanced Business Mathematics, Semester V , Bachelors of Commerce (Honours)

Question Paper Solutions of chapter Theory of Income Determination of Macroeconomics and Advanced Business Mathematics, Semester V , Bachelors of Commerce (Honours)

Abstract

Susenas (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, Susenas was conducted every year. Susenas was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of Susenas shall be conducted in year 2011.

To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.

In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and Susenas has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of Susenas and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).

Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data Susenas 2011 activities and trial of integrating Susenas and SBH must be in accordance with the set schedule.

Activities of Susenas 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Kind of data

Sample survey data [ssd]

Sampling procedure

From the master sampling frame (Nh enumeration areas) were retractable sample enumeration areas a pps manner nh acquired 30,000 enumeration areas. Then divided into 4 quarters so that each quarter 7,500 enumeration areas. The next stage selected one census block (BS) in pps with household size number SP 2010 RBL1. The last stage, of each BS Susenas been selected for a number of common household (m = 10) based on the results of systematic updating of listing of households using SP 2010 C1 VSEN2011 List - P. Then do the enumeration of 75,000 households.

Mode of data collection

Face-to-face [f2f]

Abstract

SUSENAS (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, SUSENAS was conducted every year. SUSENAS was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of SUSENAS shall be conducted in year 2011.

To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.

In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and SUSENAS has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of SUSENAS and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).

Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data SUSENAS 2011 activities and trial of integrating SUSENAS and SBH must be in accordance with the set schedule.

Activities of SUSENAS 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Sampling procedure

Sampling method is the structured three phase sampling with the following method:

a. First phase, selection of nh census area from Nh with pps (Probability Proportional to Size)with sizeas the total households of SP2010 (M i ).The census area is then randomly allocated into four quarters. Total sampling will be nh= 30,000 census areas thus there will be 7,500 census areas for each quarter. From 7,500 census areas of the First Quarter of the National Socio-Economic Survey (Susenas), some 5,000 census areas are systemically selected for the First Quarter of the 2011 National Labor Force Survey (Sakernas) and will be used again for the second, third and fourth quarter

b. Second phase, to select: - two BS from each selected census area of the second and third quarter of Susenas, and the first quarter which is also selected for the first quarter of Sakernas, which then from the selected census blocks, is randomly allocated one for Susenas/SBH, and one [for] Sakernas, or - one BS from each selected census area of the fourth quarter and first quarter only for Susenas with pps with a household size of SP2010-RBL1.

c. Third phase, from each selected census block for Susenas, a number of regular households are systemically selected (m=10) based on the updated SP2010-C1 household listing by using the VSEN11-P List. Names of household head (KRT) are extracted from SP2010-C1 for name, address and education level variables, followed by field updates.

Mode of data collection

Face-to-face

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