**Unit - I**

Indian Economy – Growth and development: Agriculture: Area, Yield, Production,

marketing and sales. Rural Development – Industry: Input and output – Service Sector :

Types of service sector, skilled labour, semi skilled labour and unskilled labour –

Changing Sectoral contributions – Industrial Policy Changes – FDI – Infrastructure:

Public Health – Education – drinking water – sanitation – Public transport –Banking and

financial services–housing facilities–Nutrition – Investment – Public Private Participation

– Inclusive growth. Human Development: Concepts, Trends and Issues – Employment,

unemployment, under employment and disguised unemployment – concepts,

measurement and Trends – Employment in Organized and unorganized sector –

Strategies for Employment Generation. Poverty: Concepts, measurement and Trends,

Fiscal Policy – FRBM Act – Goods and Service Tax (VAT)– Fiscal Federalism – Parallel

economy in India – Inflation: Definition, trends, estimates, consequences and remedies

– RBI – Monetary and Fiscal policy – Banking Sector Reforms – India’s foreign trade,

composition, direction and recent changes in trade policy – Balance of payments – India

and WTO requirements – Global Financial Crisis and its Impact on India. Index number:

Consumer price index – Whole Sale price Index. Time series analyses-Moving average

Method

** Unit - II**

Primary data collection-Field Investigation- Census method-Sampling Method – Direct

personal observation-Interview method- Indirect oral interview-Information through

agencies-Mailed Questionnaires and scheduled sent through enumerator.Secondary

data collection- Books-Journals-Government (Ministry) Records and reports from

government agencies- Bibliography-Autography- Web site-News Paper- Periodicals, etc

Evaluation and preparation of the report and components of evaluation Report:

Executive summary-background and purpose-statement of the problem-objectives and

Hypotheses – evaluation methods (Statistical methods used in the study) –result and

discussion of the result –conclusion and recommendation- reference or bibliographyappendices.

**Unit – III**

Econometrics - definition, methodology, Data – meaning and types of data such as

cross-section, time-series and panel data, primary & secondary data- advantages &

disadvantages, Variables – meaning and types such as quantitative and qualitative

variables, measurement scales of variables such as ratio, interval, ordinal and nominal-

siple examples. Correlation – simple and multiple correlation, properties of correlation

coefficients, Karl Pearson’s and Spearman’s rank correlation coefficients, Simple

numerical problems - Simple & multiple linear regression model – introduction,

assumptions, least squares principle, least squares estimators, properties of regression

coefficients(Gauss-Markov theorem), interpretation of regression output - R2 & adjusted

R2

, regression coefficients with t-values and level of significance, Simple numerical

problems - advantages of regression analysis over correlation analysis, Functional

forms of regression models – log-linear, log- lin and lin-log models and computation of

elasticity, computation of simple and compound growth rates - simple numerical

examples.

Unit - IV:

Econometric Problems: heteroscedasticity, multicollinearity and autocorrelation –

definition and consequences. Dummy variables: definition, generation of dummy

variables, problem of dummy variable trap, cautions in using dummy variables, inclusion

and interpretation of dummy variables in the regression. Qualitative response

regression models – linear probability, logit and probit models – an introduction. Basics

of time-series: additive and multiplicative models, determination of trend by free

drawing, moving average methods, and seasonal indices, definition of stationarity, tests

for stationarity and transformation of non-stationary series into stationary series.

** Unit - V**

Compilation and Tabulation of data Collected - Classification – Types of Classification –

Formulation of discrete and continuous frequency distribution ( uni-variate and Bivariate ). Pictorial Representation of data: Bar diagrams – Pie diagrams – Histogram –

Ogives and Lawrence Curve Measures of Location – Mean , Median, Mode, Harmonic

Mean and Geometric Mean – Quartiles - Measures of variation : Range, Quartile

deviation , Mean deviation, Variance and Standard deviation. Coefficient of variation ,

skewness and Kurtosis.( All the calculation of measures are for both grouped and

ungrouped data ) Probability and Distribution: Introduction to probability: Random

Experiments, Sample Space and events, Definition of probability. Classical, Empirical

and Axiomatic approach to probability; Addition and Multiplication Theorem, Conditional

probability and Baye’s Theorem. Random Variables and Distribution function –

Mathematical Expectation and conditional Expectation. Convergence in Probability –

Weak Law of large Numbers and strong law of large Number – Central limit Theorem –

Discrete distributions: Binomial, Poisson. Continuous Distributions: Normal Distribution

Chi-Square, t and F distributions and their properties.

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