Indian Economic Service and Indian Statistical Service Exam 2021, Exam Dates, Exam Pattern


The Indian Economic Service together with the Indian Statistical Service is the inter-ministerial administrative civil service of Group A of the Central Civilian Services of the executive branch of the Government of India.

The Indian Economic Service was introduced to formulate and implement economic policies and other related programs in India.

With the start of large-scale economic reforms in 1991 and the proliferation of the government’s regulatory function, such analysis and advice within the service domain have multiplied.

For the Indian Statistical Service, all statistical posts from different ministries and departments were grouped together in the initial constitution of the service.

The Union Public Service Commission will conduct a combined competitive examination for recruitment to the Junior Timescale for Services following the rules published by the Ministry of Statistics and Program Implementation in the Indian Gazette.


ExamIndian Economic Service (IES)/Indian Statistical Service
Conducted byUnion Public Services Commission (UPSC)
Exam levelNational
FrequencyOnce in a year
Exam modePen and Paper-based (offline)
Numbers of Attempts6
Expected registrationMore than 2 lakh
Duration of exam3 Days
Vacancies (Approx)IES -32 ISS -33
No of test centres19

IES Officer is one of the most reputable positions in India. The UPSC appoints IES officers to various ministries under the Indian government. Updated IES salary structure, full information provided below on this page.

You can acquire IES Pay Scale, Perks, Allowances, Benefits, Grade Pay, TA, DA – HRA after 7th CPC form this page.

The aim is to inform you that the IES salary in India is similar to other Indian civil service officers in various ministries. There may be variations in the total amount as there are different salaries and allowances or policies depending on the profile, candidates can check below the details of the IES Employment Salary.

LevelPay ScaleGrade Pay
Junior (Entry) LevelRs.15600 – 39100/-Rs.5400/-
Senior ScaleRs.15600/- 39100/-Rs.6600/-
Junior Admin GradeRs.15600-39100/-Rs.7600/-
Selection Grade PayRs.37400-6700/-Rs.8700/-
Super Time ScaleRs.37400 – Rs.67000Rs.8700/-
Super Time ScaleRs.37400 – Rs.67000Rs.10,000/
Super Time ScaleRs.37400 – Rs.67000Rs.10,000/
Apex Pay ScaleRs.80,000/-N/A
Cabinet Secretary GradeRs,90,000/-N/A

IES/ISS Examination Pattern 2021

The examination of the Indian Economic services and Indian Statical services recruitment exam conducts into two parts.

Part-I: Written examination:- carrying a maximum of 1000 marks in the subjects as shown below,

Part-II: Viva Voice:- of such candidates as may be called by the Commission, carrying a maximum of 200 marks.

Both of these exams are subjective types. Syllabus for these exams are as follows:-

Part-I: Written Exam 2021

(A) Indian Economic Service (IES)
SL No.SubjectMaximum MarksDuration
1General English1003 Hrs
2General studies1003 Hrs
3General Economics-I2003 Hrs
4General Economics-II2003 Hrs
5General Economics-III2003 Hrs
6Indian Economics2003 Hrs
(B) Indian Statistical Service (ISS)
1General English1003 Hrs
2General Studies1003 Hrs
3Statistics-I (Objective)2003 Hrs
4Statistics-II (Objective)2003 Hrs
5Statistics-III(Objective)2003 Hrs
6Statistics-IV (Objective)2003 Hrs

Part-II: Viva Voice 2021

The candidate will be interviewed by a Board of competent and impartial observers who will have before them a record of their career. The objective of the interview is to assess your suitability for the Service for which you have completed.

The interview aims to complement the written exam to assess the candidate’s general and specialized knowledge and skills.

The candidate is expected to have taken an intelligent interest not only in their academic study subjects but also in the events taking place around them, both within and outside their own state or country, as well as in recent thought and in new developments. Which should stimulate the curiosity of well-educated youth.

Note: – The interview technique is not that of a strict interrogation, but a natural conversation, although directed and deliberate, destined to reveal the candidate’s mental qualities and his understanding of the problems. The Board will pay special attention to evaluating intellectual interest, critical absorption capabilities, the balance of judgment and mental alertness, capacity for social cohesion, the integrity of character, initiation and leadership ability.

IES/ISS Syllabus 2021

Indian Economic Service Syllabus 2021

  • Candidates will be required to write an essay in English.
  • Other questions will be designed to test their understanding of English and workmanlike use of words.
  • Passages will usually be set for summary or precis.

General knowledge including knowledge of current events and of such matters of everyday observation and experience in their scientific aspects as may be expected of an educated person who has not made a special study of any scientific subject.

The paper will also include questions on Indian Polity including the political system and the Constitution of India, History of India and Geography of nature which a candidate should be able to answer without special study.


  1. Theory of Consumer’s Demand – Cardinal utility Analysis: Marginal utility and demand, Consumer’ssurplus, Indifference curve, Analysis and utility function, Price income and substitution effects, Slutsky theorem and derivation of the demand curve, Revealed preference Duality and Simple games of complete information, Concepts of Nash equilibrium.
  2. Theory of Production: Factors of production and production function. Forms of Production Functions: Cobb Douglas, CES and Fixed coefficient type, Translog production function. Laws of return, Returns to scale and Return to factors of  Duality and cost function, Measures of productive efficiency of firms, technical and allocative efficiency. Partial Equilibrium versus General Equilibrium approach, Equilibrium of the film and industry.
  3. Theory of Value: Pricing under different market structures, public sector pricing, marginal cost pricing, peak-load pricing, cross-subsidy free pricing and average cost  Marshallian and Walrasian stability analysis. Pricing with incomplete information and moral hazard problems.
  4. Theory of Distribution: Neo classical distribution theories; Marginal productivity theory of the determination of factor prices, Factor shares and adding up problems. Euler’s theorem, Pricing of factors under imperfect competition, monopoly and bilateral  Macro-distribution theories of Ricardo, Marx, Kaldor, Kalecki.
  5. WelfareEconomics: Inter-personal comparison and aggression problem, Public goods and externalities, Divergence between social and private welfare, compensation principle. Pareto optimality. Social choice and other recent schools, including Coase and sen.


  1. Mathematical methods in Economics: Differentiation and Integration and their application in economics. Optimisation techniques, Sets, Matrices and their application in economics. Linear algebra and Linear programming in economics and Input-output model of Lenotief.
  1. Statistical and Econometric Methods: Measures of central tendency and dispersions, Correlation and Regression. Time Index numbers, Sampling of curves based on various linear and non-linear function. Least square methods and other multivariate analysis, Principle component analysis, Discriminant analysis. Income distribution: Pareto law of Distribution, lognormal distribution, measurement of income inequality. Lorenz curve and Gini coefficient. Univariate and multivariate regression analysis. Problems and remedies of Heteroscedasticity, Autocorrelation and Multicollinearity.


  1. Economic Thought: Mercantilism Physiocrats, Classical, Marxist, Neo-classical, Keynesian and Monetarist schools of thoughts

  1. Concept of National Income and Social Accounting: Measurement of National Income, Interrelationship between three measures of national income in the presence of Government sector and International transactions. Environmental considerations, Green national income.

  2. Theory of employment, Output, Inflation, Money and Finance: The Classical Theory of Employment and Output and Neo classical approaches. Equilibrium, analysis under the classical and neoclassical  Keynesian theory of Employment and output. Post Keynesian developments. The inflationary gap; Demand pull versus cost-push inflation, Philip’s curve and its policy implication. The classical theory of Money, the Quantity Theory of Money. Friedman’s restatement of the quantity theory, the neutrality of money. The supply and demand for loanable funds and equilibrium in financial markets, Keynes’ theory on demand for money. IS-LM Model and AD-AS Model in Keynesian Theory.

  3. Financial and Capital Market: Finance and economic development, financial markets, stock market, gift market, banking and insurance. Equity markets, Role of primary and secondary markets and efficiency, Derivatives markets; Future and options.

  1. Economic Growth and Development: Concepts of Economic Growth and Development and their measurement: characteristics of less developed countries and obstacles to their development – growth, poverty and income distribution. Theories of growth: Classical Approach: Adam Smith, Marx and Schumpeter- Neo classical approach; Robinson, Solow, Kaldor and Harrod Theories of Economic Development, Rostow, Rosenstein-Roden, Nurske, Hirschman, Leibenstien and Arthur Lewis, Amin and Frank (Dependency school) respective role of the state and the market. Utilitarian and Welfarist approach to social development and A.K. Sen’s critique. Sen’s capability approach to economic development. The Human Development Index. Physical quality of Life Index and the Human Poverty Index. Basics of Endogenous Growth Theory. 

  1. International Economics: Gains from International Trade, Terms of Trade, policy, international trade and economic development- Theories of International Trade; Ricardo, Haberler, Heckscher- Ohlin and Stopler- Samuelson- Theory of Tariffs- Regional Trade Arrangements. Asian Financial Crisis of 1997, the Global Financial Crisis of 2008 and the Euro Zone Crisis- Causes and Impact. 

  1. Balance of Payments: Disequilibrium in Balance of Payments, Mechanism of Adjustments, Foreign Trade Multiplier, Exchange Rates, Import and Exchange Controls and Multiple Exchange Rates. IS-LM Model and Mundell- Fleming Model of Balance of  

  1. Global institutions: UN agencies dealing with economic aspects, the role of Multilateral Development Bodies (MDBs), such as World Bank, IMF and WTO, Multinational Corporations. G-20.

  1. Public Finance—Theories of taxation: Optimal taxes and tax reforms, the incidence of taxation. Theories of public expenditure: objectives and effects of public expenditure, public expenditure policy and social cost-benefit analysis, criteria of public investment decisions, social rate of discount, shadow prices of investment, unskilled labour and foreign  Budgetary deficits. Theory of public debt management.
  1. EnvironmentalEconomics—Environmentally sustainable development, Rio process 1992 to 2012, Green GDP, UN Methodology of Integrated Environmental and Economic. Accounting. Environmental Values: Users and non-users values, option value. Valuation Methods: Stated and revealed preference methods. Design of Environmental Policy Instruments: Pollution taxes and pollution permits, collective action and informal regulation by local communities. Theories of exhaustible and renewable resources. International environmental agreements, RIO Conventions. Climatic change problems. Kyoto Protocol, UNFCC, Bali Action Plan, Agreements up to 2017, tradable permits and carbon taxes. Carbon Markets and Market Mechanisms. Climate Change Finance and Green Climate Fund.
  1. Industrial Economics—Market structure, conduct and performance of firms, product differentiation and market concentration, monopolistic price theory and oligopolistic interdependence and pricing, entry preventing pricing, micro level investment decisions and the behaviour of firms, research and development and innovation, market structure and profitability, public policy and development of firms.
  1. State, Market and Planning—Planning in a developing  Planning regulation and market. Indicative planning. Decentralised planning.
  1. History of development and planning— Alternative development strategies—the goal of self-reliance based on import substitution and protection, the post-1991 globalisation strategies based on stabilization and structural adjustment packages: fiscal reforms, financial sector reforms and trade reforms.
  1. FederalFinance—Constitutional provisions relating to fiscal and financial powers of the States, Finance Commissions and their formulae for sharing taxes, Financial aspect of Sarkaria Commission Report, financial aspects of 73rd and 74th Constitutional amendments.
  1. Budgeting and Fiscal Policy—Tax, expenditure, budgetary deficits, pension and fiscal reforms, Public debt management and reforms, Fiscal Responsibility and Budget Management (FRBM) Act, Black money and Parallel economy in India—definition, estimates, genesis, consequences and remedies.
  1. Poverty, Unemployment and Human Development—Estimates of inequality and poverty measures for India, appraisal of Government measures, India’s human development record from a global perspective. India’s population policy and development.
  1. Agriculture and Rural Development Strategies— Technologies and institutions, land relations and land reforms, rural credit, modern farm inputs and marketing— price policy and subsidies; commercialisation and diversification. Rural development programmes including poverty alleviation programmes, development of economic and social infrastructure and New Rural Employment Guarantee scheme.
  1. India’s experience with Urbanisation and Migration—Different types of migratory flows and their impact on the economies of their origin and destination, the process of growth of urban settlements; urban development strategies.
  1. Industry: Strategy of industrial development— Industrial Policy Reform; Reservation Policy relating to small scale  Competition policy, Sources of industrial finances. Bank, share market, insurance companies, pension funds, non-banking sources and foreign direct investment, the role of foreign capital for direct investment and portfolio investment, Public sector reform, privatisation and disinvestment.
  1. Labour—Employment, unemployment and underemployment, industrial relations and labour welfare— strategies for employment generation—The urban labour market and informal sector employment, Report of National Commission on Labour, Social issues relating to labour. e.g. Child Labour, Bonded Labour International Labour Standard and its impact.
  1. Foreign trade—Salient features of India’s foreign trade, composition, direction and organisation of trade, recent changes in trade, the balance of payments, tariff policy, exchange rate, India and WTO  Bilateral Trade Agreements and their implications.
  1. Money and Banking—Financial sector reforms, Organisation of India’s money market, changing roles of the Reserve Bank of India, commercial banks, development finance institutions, foreign banks and non-banking financial institutions, Indian capital market and SEBI, Development in Global Financial Market and its relationship with Indian Financial Commodity Market in India-Spot and Futures Market, Role of FMC. 
  1. Inflation—Definition, trends, estimates, consequences and remedies (control): Wholesale Price Index. Consumer Price Index: components and trends.

Indian statical service 2021

  • Candidates will be required to write an essay in English.
  • Other questions will be designed to test their understanding of English and workmanlike use of words.
  • Passages will usually be set for summary or precis.

General knowledge including knowledge of current events and of such matters of everyday observation and experience in their scientific aspects as may be expected of an educated person who has not made a special study of any scientific subject.

The paper will also include questions on Indian Polity including the political system and the Constitution of India, History of India and Geography of nature which a candidate should be able to answer without special study.


i) Probability: Classical and axiomatic definitions of Probability and consequences. Law of total probability, Conditional probability, Bayes’ theorem and applications. Discrete and continuous random variables. Distribution functions and their properties.

Standard discrete and continuous probability distributions – Bernoulli, Uniform, Binomial, Poisson, Geometric, Rectangular, Exponential, Normal, Cauchy, Hypergeometric, Multinomial, Laplace, Negative binomial, Beta, Gamma, Lognormal. Random vectors, Joint and marginal distributions, conditional distributions, Distributions of functions of random variables. Modes of convergences of sequences of random variables – in distribution, in probability, with probability one and in mean square. Mathematical expectation and conditional expectation. Characteristic function, moment and probability generating functions, Inversion, uniqueness and continuity theorems. Borel 0-1 law, Kolmogorov’s 0-1 law. Tchebycheff’s and Kolmogorov’s inequalities. Laws of large numbers and central limit theorems for independent variables.

ii) Statistical Methods: Collection, compilation and presentation of data, charts, diagrams and histogram. Frequency distribution. Measures of location, dispersion, skewness and kurtosis. Bivariate and multivariate data. Association and contingency. Curve fitting and orthogonal polynomials. Bivariate normal distribution. Regression-linear, polynomial. Distribution of the correlation coefficient, Partial and multiple correlations, Intraclass correlation, Correlation ratio.

Standard errors and large sample test. Sampling distributions of sample mean, sample variance, t, chi-square and F; tests of significance based on them, Small sample tests. Non-parametric tests-Goodness of fit, sign, median, run, Wilcoxon, Mann-Whitney, Wald- Wolfowitz and Kolmogorov-Smirnov. Order statistics-minimum, maximum, range and median. Concept of Asymptotic relative efficiency.

(iii) Numerical Analysis: Finite differences of different orders: D, E and D operators, factorial representation of a polynomial, separation of symbols, sub-division of intervals, differences of zero.

Concept of interpolation and extrapolation: Newton Gregory’s forward and backward interpolation formulae for equal intervals, divided differences and their properties, Newton’s formula for divided difference, Lagrange’s formula for unequal intervals, central difference formula due to Gauss, Sterling and Bessel, the concept of error terms in interpolation formula.

Inverse interpolation: Different methods of inverse interpolation.

Numerical differentiation: Trapezoidal, Simpson’s one-third and three-eight rule and Waddles rule.

Summation of Series: Whose general term (i) is the first difference of a function (ii) is in geometric progression.

Numerical solutions of differential equations: Euler’s Method, Milne’s Method, Picard’s Method and Runge-Kutta Method.

(iv) Computer application and Data Processing: Basics of Computer: Operations of a computer, Different units of a computer system like central processing unit, memory unit, arithmetic and logical unit, an input unit, output unit etc., Hardware including different types of input, output and peripheral devices, Software, system and application software, number systems, Operating systems, packages and utilities, Low and High-level languages, Compiler, Assembler, Memory – RAM, ROM, unit of computer memory (bits, bytes etc.), Network – LAN, WAN, internet, intranet, basics of computer security, virus, antivirus, firewall, spyware, malware etc. Basics of Programming: Algorithm, Flowchart, Data, Information, Database, overview of different programming languages, frontend and backend of a project, variables, control structures, arrays and their usages, functions, modules, loops, conditional statements, exceptions, debugging and related concepts.



i) LinearModels: Theory of linear estimation, Gauss-Markov linear models, estimable functions, error and estimation space, normal equations and least square estimators, estimation of error variance, estimation with correlated observations, properties of least square estimators, the generalized inverse of a matrix and solution of normal equations, variances and covariances of least square estimators.

One way and two-way classifications, fixed, random and mixed-effects models. Analysis of variance (two-way classification only), multiple comparison tests due to Tukey, Scheffe and Student-Newmann-Keul-Duncan.

(ii) Statistical Inference and Hypothesis Testing: Characteristics of the good estimator. Estimation methods of maximum likelihood, minimum chi-square, moments and least squares. Optimal properties of maximum likelihood estimators.

Minimum variance unbiased estimators. Minimum variance bound estimators. Cramer-Rao inequality. Bhattacharya bounds. Sufficient estimator. factorization theorem. Complete

statistics. Rao-Blackwell theorem. Confidence interval estimation. Optimum confidence bounds. Resampling, Bootstrap and Jackknife.

Hypothesis testing: Simple and composite hypotheses. Two kinds of error. Critical region. Different types of critical regions and similar regions. Power function. Most powerful and uniformly most powerful tests. Neyman-Pearson fundamental lemma. Unbiased test.

Randomized test. Likelihood ratio test. Wald’s SPRT, OC and ASN functions. Elements of decision theory.

(iii) Official Statistics: National and International official statistical system

Official Statistics: (a) Need, Uses, Users, Reliability, Relevance, Limitations, Transparency, its visibility (b) Compilation, Collection, Processing, Analysis and Dissemination, Agencies Involved, Methods

National Statistical Organization: Vision and Mission, NSSO and CSO; roles and responsibilities; Important activities, Publications etc.

National Statistical Commission: Need, Constitution, its role, functions etc; Legal Acts/ Provisions/ Support for Official Statistics; Important Acts

Index Numbers: Different Types, Need, Data Collection Mechanism, Periodicity, Agencies Involved, Uses

Sector Wise Statistics: Agriculture, Health, Education, Women and Child etc. Important Surveys & Census, Indicators, Agencies and Usages etc.

National Accounts: Definition, Basic Concepts; issues; the Strategy, Collection of Data and Release.

Population Census: Need, Data Collected, Periodicity, Methods of data collection, dissemination, Agencies involved.

Misc: Socio-Economic Indicators, Gender Awareness/Statistics, Important Surveys and Censuses.


(i) SamplingTechniques: Concept of population and sample, need for sampling, complete enumeration versus sampling, basic concepts in sampling, sampling and Non-sampling error, Methodologies in sample surveys (questionnaires, sampling design and methods followed in field investigation) by NSSO.

Subjective or purposive sampling, probability sampling or random sampling, simple random sampling with and without replacement, estimation of population mean, population proportions and their standard errors. Stratified random sampling, proportional and optimum allocation, comparison with simple random sampling for fixed sample size. Covariance and Variance Function.

Ratio, product and regression methods of estimation, estimation of population mean, evaluation of Bias and Variance to the first order of approximation, comparison with simple random sampling.

Systematic sampling (when population size (N) is an integer multiple of sampling size (n)). Estimation of population mean and standard error of this estimate, comparison with simple random sampling.

Sampling with probability proportional to size (with and without replacement method), Des Raj and Das estimators for n=2, Horvitz-Thomson’s estimator

Equal size cluster sampling: estimators of population mean and total and their standard errors, comparison of cluster sampling with SRS in terms of the intra-class correlation coefficient.

Concept of multistage sampling and its application, two-stage sampling with an equal number of second stage units, estimation of population mean and total.Double sampling in ratio and regression methods of estimation.

Concept of Interpenetrating sub-sampling.

(ii) Econometrics: Nature of econometrics, the general linear model (GLM) and its extensions, ordinary least squares (OLS) estimation and prediction, generalized least squares (GLS) estimation and prediction, heteroscedastic disturbances, pure and mixed estimation.

Autocorrelation, its consequences and tests. Theil BLUS procedure, estimation and prediction, multi-collinearity problem, its implications and tools for handling the problem, ridge regression.

Linear regression and stochastic regression, instrumental variable estimation, errors in variables, autoregressive linear regression, lagged variables, distributed lag models, estimation of lags by OLS method, Koyck’s geometric lag model. Simultaneous linear equations model and its generalization, identification problem, restrictions on structural parameters, rank and order conditions.

Estimation in simultaneous equations model, recursive systems, 2 SLS estimators, limited information estimators, k-class estimators, 3 SLS estimator, full information maximum likelihood method, prediction and simultaneous confidence intervals.

(iii) Applied Statistics: Index Numbers: Price relatives and quantity or volume relatives, Link and chain relatives composition of index numbers; Laspeyre’s, Paasche’s’, Marshal Edgeworth and Fisher index numbers; chain base index number, tests for index number, Construction of index numbers of wholesale and consumer prices, Income distribution-Pareto and Engel curves, Concentration curve, Methods of estimating national income, Inter-sectoral flows, Inter-industry table, Role of CSO. Demand Analysis.

Time Series Analysis: Economic time series, different components, illustration, additive and multiplicative models, determination of trend, seasonal and cyclical fluctuations.

Time-series as discrete parameter stochastic process, autocovariance and autocorrelation functions and their properties.

Exploratory time Series analysis, tests for trend and seasonality, exponential and moving average smoothing. Holt and Winters smoothing, forecasting based on smoothing.

A detailed study of the stationary processes: (1) moving average (MA), (2) autoregressive (AR), (3) ARMA and (4) AR integrated MA (ARIMA) models. Box-Jenkins models, choice of AR and MA periods.

Discussion (without proof) of estimation of mean, autocovariance and autocorrelation functions under large sample theory, estimation of ARIMA model parameters.

Spectral analysis of the weakly stationary process, periodogram and correlogram analyses, computations based on Fourier transform.


i) Operations Research and Reliability: Definition and Scope of Operations Research: phases in Operation Research, models and their solutions, decision-making under uncertainty and risk, use of different criteria, sensitivity analysis.

Transportation and assignment problems. Bellman’s principle of optimality, general formulation, computational methods and application of dynamic programming to LPP.

Decision-making in the face of competition, two-person games, pure and mixed strategies, existence of solution and uniqueness of value in zero-sum games, finding solutions in 2×2, 2xm and mxn games.

Analytical structure of inventory problems, EOQ formula of Harris, its sensitivity analysis and extensions allowing quantity discounts and shortages. Multi-item inventory subject to constraints. Models with random demand, the static risk model. P and Q- systems with constant and random lead times.

Queuing models – specification and effectiveness measures. Steady-state solutions of M/M/1 and M/M/c models with associated distributions of queue-length and waiting time. M/G/1 queue and Pollazcek-Khinchine result.

Sequencing and scheduling problems. 2-machine n-job and 3-machine n-job problems with identical machine sequence for all jobs

Branch and Bound method for solving travelling salesman problem. Replacement problems – Block and age replacement policies.

PERT and CPM – basic concepts. Probability of project completion.

Reliability concepts and measures, components and systems, coherent systems, reliability of coherent systems.

Life-distributions, reliability function, hazard rate, common univariate life distributions – exponential, Weibull, gamma, etc. Bivariate exponential distributions. Estimation of parameters and tests in these models.

Notions of ageing – IFR, IFRA, NBU, DMRL and NBUE classes and their duals. Loss of memory property of the exponential distribution.

Reliability estimation based on failure times in variously censored life-tests and in tests with the replacement of failed items. Stress-strength reliability and its estimation.

(ii) Demography and Vital Statistics: Sources of demographic data, census, registration, ad-hoc surveys, Hospital records, Demographic profiles of the Indian Census.

Complete life table and its main features, Uses of life table. Markham’s and Gompertz curves. National life tables. UN model life tables. Abridged life tables. Stable and stationary populations. Measurement of Fertility: Crude birth rate, General fertility rate, Age-specific birth rate, Total fertility rate, Gross reproduction rate, Net reproduction rate.

Measurement of Mortality: Crude death rate, Standardized death rates, Age-specific death rates, Infant Mortality rate, the Death rate by cause.

Internal migration and its measurement, migration models, the concept of international migration. Net migration. International and postcensal estimates. Projection method including logistic curve fitting. Decennial population census in India.

(iii) Survival Analysis and Clinical Trial: Concept of time, order and random censoring, likelihood in the distributions – exponential, gamma, Weibull, lognormal, Pareto, Linear failure rate, inference for this distribution. Life tables, failure rate, mean residual life and their elementary classes and their properties. Estimation of survival function – actuarial estimator, Kaplan – Meier estimator, estimation under the assumption of IFR/DFR, tests of exponentiality against non-parametric classes, total time on the test.

Two sample problem – Gehan test, log-rank test.

Semi-parametric regression for failure rate – Cox’s proportional hazards model with one and several covariates, rank test for the regression coefficient.

Competing for risk model, parametric and non-parametric inference for this model.

Introduction to clinical trials: the need and ethics of clinical trials, bias and random error in clinical studies, the conduct of clinical trials, an overview of Phase I – IV trials, multicenter trials. Data management: data definitions, case report forms, database design, data collection systems for good clinical practice.

Design of clinical trials: parallel vs. cross-over designs, cross-sectional vs. longitudinal designs, review of factorial designs, objectives and endpoints of clinical trials, design of Phase I trials, design of single-stage and multi-stage Phase II trials, design and monitoring of phase III trials with sequential stopping,

Reporting and analysis: analysis of categorical outcomes from Phase I – III trials, analysis of survival data from clinical trials.

(iv) Quality Control: Statistical process and product control: Quality of a product, need for quality control, the basic concept of process control, process capability and product control, general theory of control charts, causes of variation in quality, control limits, sub grouping summary of out of control criteria, charts for attributes p chart, np chart, c-chart, V chart, charts for variables: R, ( X, R), ( X, σ) charts.

Basic concepts of process monitoring and control; process capability and process optimization. General theory and review of control charts for attribute and variable data; O.C. and A.R.L. of control charts; control by gauging; moving average and exponentially weighted moving average charts; Cu-Sum charts using V-masks and decision intervals; Economic design of X-bar chart.

Acceptance sampling plans for attributes inspection; single and double sampling plans and their properties; plans for inspection by variables for the one-sided and two-sided specification.

(v) Multivariate Analysis: Multivariate normal distribution and its properties. Random sampling from a multivariate normal distribution. Maximum likelihood estimators of parameters, distribution of the sample mean vector.

Wishart matrix – its distribution and properties, distribution of sample generalized variance, null and non-null distribution of multiple correlation coefficients.

Hotelling’s T and its sampling distribution, application in test on mean vector for one and more multivariate normal population and also on equality of components of a mean vector in the multivariate normal population.

Classification problem: Standards of good classification, the procedure of classification based on multivariate normal distributions.

Principal components, dimension reduction, canonical variates and canonical correlation — definition, use, estimation and computation.

(vi) Design and Analysis of Experiments: Analysis of variance for one way and two-way classifications Need for the design of experiments, a basic principle of experimental design (randomization, replication and local control), complete analysis and layout of the completely randomized design, randomized block design and Latin square design, Missing plot technique. Split Plot Design and Strip Plot Design.

Factorial experiments and confounding in 2 and 3 experiments. Analysis of covariance. Analysis of non-orthogonal data. Analysis of missing data.

(vii) Computing with C and R: Basics of C: Components of C language, the structure of a C program, Data type, basic data types, Enumerated data types, Derived data types, variable declaration, Local, Global, Parametric variables, Assignment of Variables, Numeric, Character, Real and String constants, Arithmetic, Relation and Logical operators, Assignment operators, Increment and decrement operators, conditional operators, Bitwise operators, Type modifiers and expressions, writing and interpreting expressions, using expressions in statements. Basic input/output.

Control statements: conditional statements, if-else, nesting of if-else, else if ladder, switch statements, loops in c, for, while do-while loops, break, continue, exit ( ), goto and label declarations, One dimensional two dimensional and multidimensional arrays. Storage classes: Automatic variables, External variables, Static variables, Scope and lifetime of declarations. Functions: classification of functions, functions definition and declaration, assessing a function, return statement, parameter passing in functions. Pointers (concept only).

Structure: Definition and declaration; structure (initialization) comparison of structure variable; Array of structures: array within structures, structures within structures, passing structures to functions; Unions accessing a union member, the union of structure, initialization of a union variable, uses of the union. Introduction to a linked list, linear linked list, insertion of a node in the list, removal of a node from the list.

Files in C: Defining and opening a file, input-output operation on a file, creating a file, reading a file. Statistics Methods and techniques in R

IES/ ISS Number of Vacancies 2021

Services to which recruitment is to be made on the results of this exam and the approx number of vacancies in Junior Scale of the Services are given below:

  • Indian Economical Services: 32 Seats
  • Indian Statical Services: 33 Seats

Eligibility Criteria 2021


A candidate must be either:

  • (a) a Citizen of India, or
  • (b) a subject of Nepal, or
  • (c) a subject of Bhutan, or
  • (d) a Tibetan refugee who came over to India before January 1, 1962, with the intention of permanently settling in India, or
  • (e) a person of Indian origin who has migrated from Pakistan, Burma, Sri Lanka or East African Countries of Kenya, Uganda, the United Republic of Tanzania, Zambia, Malawi, Zaire, and Ethiopia or from Vietnam with the intention of permanently settling in India.


  1. Provided that a candidate belonging to categories (b), (c), (d) and (e) above shall be a person in whose favour a certificate of eligibility has been issued by the Government of India.
  2. A candidate in whose case a certificate of eligibility is necessary may be admitted to the examination but the offer of appointment may be given only after the necessary eligibility certificate has been issued to him/her by the Government of India.

Educational Qualification

  • For Indian Economic Services (IES)

The candidates must have obtained a Post Graduate Degree in Economics/Applied Economics/Business Economics/Econometrics from a recognized university or a foreign university approved by the Central Government of India from time to time.

  • Indian Statical Services (ISS)

The candidates must have obtained a Bachelor’s Degree with Statistics/Mathematical Statistics/Applied Statistics as one of the subject or else the candidates should hold a Master’s degree in Statistics/Mathematical Statistics/Applied Statistics from a recognized university or a foreign university approved by the Central Government of India from time to time.

Age Limit

The candidates must have attained the age of 21 years and must not have attained the age of 30 years as on August 1, 2019, i.e. he/she must have been born not earlier than August 2, 1988, and not later than August 1, 1997.

The upper age limit prescribed above will be relaxable as mentioned for the below categories:

  • Scheduled Caste or a Scheduled Tribe – 5 Years
  • Other Backward Classes – 3 Years
  • If a candidate has ordinarily been domiciled in the State of Jammu & Kashmir during the period from January 1, 1980, to December 31, 1989, – 5 Years
  • Up to a maximum of three years in the case of Defence Services Personnel disabled in operations during hostilities with any foreign country or in a disturbed area and released as a consequence thereof
  • Up to a maximum of five years in the case of ex-servicemen including Commissioned Officers and ECOs/SSCOs who have rendered at least five years Military Service as on August 1, 2018,

Up to a maximum of 10 years in the case of

  • (a) blindness & low vision,
  • (b) deaf & hard of hearing,
  • (c) locomotor disability including cerebral palsy, leprosy cured, dwarfism, acid attack victims and muscular dystrophy,
  • (d) autism, intellectual disability, specific learning disability and mental illness,
  • (e) multiple disabilities from amongst person under clauses (a) to (d) including deaf-blindness.

Important Dates 2021

Indian Economic Service (IES)/ Indian Statistical Service (ISS) 2020
IES/ISS 2020 notificationMarch 25, 2020
Starting date to applyMarch 25, 2020
Last date to applyApril 13. 2020
IES/ISS exam time tableMay 4, 2020 (tentative)
IES/ISS admit cardJune 7, 2020 (tentative)
IES/ISS exam date​June 26, 2020 (3 days)
IES/ISS result 2019September 2020
IES/ISS interviewOctober 2020
IES/ISS final resultNovember 2020

IES/ISS Interview 2021

The interview is one of the most important parts of the IES/ISS exam. It’s very necessary for you to clearly state your thoughts to the interviewers.

As a result, you need to focus on brightening your communication skills and body language. Some candidates are blessed with such skills.

Some require practice to become excellent communicators of their ideas. Candidates with no communication skills can contact those who have already appeared in the Civil Services Examinations, to get useful suggestions from them.

Because this portion of the Civil Services Examination is not designed to judge someone’s expertise on a subject.

However, a candidate must speak from the heart or answer all questions honestly.

There is a common misconception among the candidates that if they lie about their hobby just to get through the interview, it will never help them.

Interviewers are not just to ask questions, but to evaluate a candidate’s personality and ability to evaluate whether a ‘no’ is a ‘no’, it cannot be changed to a ‘yes’ and vice versa.

Apply online UPSC Indian Economic Services/Indian Statical Services 2021

Below mentioned is the whole process of the UPSC IES/ISS, which a candidate can follow up to get recruited into the post.

  1. Candidates are required to apply online by using the official website of UPSC, i.e., brief instructions for filling up the online application form are available on the official website.
  2. Online application form containing two stages viz. Part-I and Part-II. So, candidates are advised to complete the form as per the instructions available on the official website.
  3. The candidates are required to pay a fee of Rs. 200/- [excepting SC/ST/Female/PH candidates who are exempted from payment of fee] either by depositing the money in any branch of SBI by cash or by using the net banking facility of the State Bank of India or by using any Visa/Master/RuPay Credit/Debit Card.
  4. Before starting filling up an online application, a candidate must have his/her photograph and signature duly scanned in the .jpg format in such a manner that each file should not exceed 40 KB and must not be less than 3 KB each in size for the photograph and 1 KB for the signature.


  • Applicants who opt for “Pay by Cash” mode should have to print the system generated Pay-in-Slip during Part-II registration and deposit the fee at the counter of nearest SBI Branch on the next working day only.
  • “Pay by Cash” mode option will be deactivated at 23:59 on April 13, 2020, i.e. one day before the closing date; however, applicants who have generated their Pay-in-Slip before it is de-activated may pay at the nearest counter of SBI Branch during banking hours on the closing date.
  • If the candidate is holding a valid Pay-in-Slip and who are unable to pay by cash on the closing date, the candidates didn’t have offline or Internet Banking payment mode on the closing date, i.e. till 6:00 PM on April 13, 2020.

Leave a Comment

Your email address will not be published.

Scroll to Top
Share via
Copy link
Powered by Social Snap