Course Outline
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COURSE OUTLINE Stat 491: Social and Economic Statistics 1. Introduction (2 lecture) 1.1. Basic concepts and definitions 1.2. Purpose of labor, education and economic statistics 1.3. Principles of labor, educations and economic statistics 2. Labor Data and Analysis (8 lecture) 2.1. Labor force 2.2. Economically active and inactive population 2.3. Activity rate 2.4. Labor force participation rates 2.5. Employment status and unemployment rate 2.6. Methods of data collection on wages and salaries of employees 2.7. Inferences and modeling of labor data 2.8. Case studies 3. Education Data and Analysis (8 lecture) 3.1. Statistical data in education 3.2. Ratios and percentages 3.3. Drop out , retention, gross enrollment and net enrollment rates 3.4. Inferences and modeling of education data 3.5. Case studies. 4. Economic Data and Analysis 4.1. Index numbers (12 Lecture) 4.1.1. Definitions, characteristics and uses 4.1.2. Types of Index numbers: Price, quantity and value 4.1.3. Methods for constructing index numbers: Jevons, Dutot and Carli 4.1.4. Weighted aggregate index: Laspeyres,Pachee,Young and Fishers 4.1.5. Tests of Adequacy of various index methods 4.2. Consumer Price Index Number ( 6 Lecture) 4.2.1. Uses of Consumer Price Index number 4.2.2. Methods of Compiling Consumer Price index Number 4.2.3. Methods of Computing Inflation rates 4.2.4. Interpretation of Results 4.3. Social Accounts and measures of National Accounts (12 Llecture)
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Transcript of Course Outline
COURSE OUTLINE Stat 491: Social and Economic Statistics
1. Introduction (2 lecture)1.1. Basic concepts and definitions1.2. Purpose of labor, education and
economic statistics1.3. Principles of labor, educations and
economic statistics2. Labor Data and Analysis (8 lecture)2.1. Labor force2.2. Economically active and inactive
population2.3. Activity rate2.4. Labor force participation rates2.5. Employment status and unemployment
rate2.6. Methods of data collection on wages
and salaries of employees2.7. Inferences and modeling of labor data2.8. Case studies3. Education Data and Analysis (8 lecture)3.1. Statistical data in education3.2. Ratios and percentages3.3. Drop out , retention, gross enrollment
and net enrollment rates3.4. Inferences and modeling of education
data3.5. Case studies.4. Economic Data and Analysis4.1.Index numbers (12 Lecture)4.1.1. Definitions, characteristics and uses4.1.2. Types of Index numbers: Price,
quantity and value4.1.3. Methods for constructing index
numbers: Jevons, Dutot and Carli 4.1.4. Weighted aggregate index:
Laspeyres,Pachee,Young and Fishers
4.1.5. Tests of Adequacy of various index methods
4.2.Consumer Price Index Number ( 6 Lecture)
4.2.1. Uses of Consumer Price Index number
4.2.2. Methods of Compiling Consumer Price index Number
4.2.3. Methods of Computing Inflation rates
4.2.4. Interpretation of Results4.3.Social Accounts and measures of
National Accounts (12 Llecture)4.3.1. The nature of social accounts and
classification of economic transaction
4.3.2. Contents of national income accounts
4.3.3. Gross Domestic Products and methods of aggregation
4.3.4. Gross National Products and Methods of aggregation
4.3.5. Problems and methods of imputation
4.3.6. Uses of social accounts matrices4.3.7. Input-output table4.3.8. Supply and use table
TEXT AND REFERENCES:
1. Hood, R.P (2003) : Statistics for Business and Economics (3rd Edition)
2. Agrawel. B.L (1996): Basic statistics (3rd Edition)
3. United Nation (1993): System of National Accounts
4. IMF Manual: Methods of Computing Index Numbers
5. Ethiopian Ministry of Finance and Economic Development Report
6. Ethiopian System of National Accounts
