Semester I

Semester I

Course No Course Title Credits
C01 Economic Growth and Industrial Development: Theories and Experiences 2
C02 Industrial Economics and Organisation 2
C03 Applied Econometrics 2
C04 Research and Public Ethics 2
C05 Databases and Applications 1

Course No. C01

Course title: Economic Growth and Industrial Development: Theories and Experiences​

No. of credits: 2​ | Course type: Core​
Instructor: Satyaki Roy, R. Rijesh​

This course aims to offer relevant theoretical perspectives in understanding industrial growth and development. It also discusses the international experiences of industrial development and that of India’s trajectory of industrial growth. The course focuses on the debates related to structural change in the economy in general and in industry in particular and appraises ‘premature deindustrialization’ experienced in many developing countries. The role of state and market in various phases of industrialization and the post-reform experiences of industrial growth in India is discussed in this course.

Concepts and Models of Growth Related to Industrial Development: Classical models of capital accumulation, dual economy models, Harrod-Domar and Solow Model; introducing technology and increasing returns; New growth theory; Kaldor and Kuznets on structural change

Structural Change in Economy and Phases of Industrial Development: Perspectives on Structural Change and Industrial Productivity; Debates on Structural Transformation and Phases of Industrial Development

Industrialisation in the Era of Globalisation of Finance: Globalisation and International Division of Labour; Unequal Exchange and Structuralist Theories of Development; Financialisation and Industrial Growth; Concepts of De-globalisation and De-growth

International Experiences of Industrialisation: Early and Late Industrialisation; Role of State and Market in Industrial Development; Japan, East Asia and Chinese Experiences

Phases and Experiences of Industrial Development in India: Early Industrial Growth in India: Pre-colonial and Colonial Period; Role of Public Sector; Industrial stagnation and the context of reforms; Economic Reforms and Industrialisation in India; Demand and supply constraints of Industrial growth; Trade, Technology Diffusion and Growth; Debates on Pre-mature Deindustrialisation.

Course No. C02

Course title: Industrial Economics and Organisation​

No. of credits: 2 | Course type: Core
Course instructors: Aditya Bhattacharjea, Isha Chawla

Industrial Organisation deals with the working of firms and markets, specifically addressing how firms engage in various competitive strategies. This is a course in applied micro-economics which covers theories of firm behaviour under various imperfectly-competitive market structures, especially oligopoly. It would help the students to learn about firms’ strategic decision–making, enabling them to analyse market mechanisms and implications for government policy. This course is unique in India because it includes different theoretical perspectives and also Indian applications, to the extent possible.

Market power: Definition, measurement, causes, consequences, and implications for public policy.

Review of basic microeconomics: Consumer and producer theory, price and output determination in equilibrium.

Alternative approaches to firms and markets: Market concentration; traditional Structure-Conduct-Performance paradigm; boundaries of the firm; transaction costs; contestable markets; Chicago school.

Oligopolistic markets; games and strategies: Concept of Nash equilibrium and subgame-perfect Nash equilibrium; Bertrand and Cournot models; oligopoly with free entry.

Introduction to competition/antitrust policy: Cartels, collusion and price wars: repeated-game models of tacit collusion; cartels and competition policy.

Entry and market concentration: Barriers to entry and exit (sunk cost); market foreclosure: strategies for entry deterrence; entry and welfare; entry deterrence and competition policy.

Vertical relationships: Couble marginalization; vertical integration; retailer competition and vertical restraints; vertical restraints and competition policy.

Competition, innovation and efficiency: Schumpeterian dynamic competition; market structure, innovation and firm profits; product market competition and innovation; application in the Indian context. Economics of platforms and implications for competition policy and regulation.

Course No. C03

Course title: Applied Econometrics

No. of credits: 2 | Course type: Core
Instructors: Shailender Kumar Hooda; Sanjaya Kumar Malik

This course is designed to provide advanced treatment of quantitative techniques and econometric methods ranging from simple to multiple regression analysis of linear and non-linear models. This consists of selected topics on estimation of cross-section and panel data models, instrumental variable estimation, estimation of system of equations, maximum likelihood estimation, discrete response models, generalised method of moments, diagnostic tests and essential of time series analysis. The parametric and non-parametric techniques of measuring productivity and efficiency would be taken up at advanced level.

Nature and Scope of econometrics and econometric approaches 

Bivariate and Multivariate Regression Analysis: Estimation procedure, statistical reliability of estimators and Gauss-Markov theorem

Estimation Problem and Diagnosis Test: Problem of multicollinearity, heteroscedasticity, autocorrelation, and model misspecification; diagnostics tests

Dummy variable regression models 
Limited dependent and qualitative variable models 

Panel Data Analysis: basic and dynamic panel methods – random effect and within effect model, error-component model, System-GMM

Simultaneous equation models: Structural equations, identification problem, reduced form, indirect least squares, instrumental variables (IV) estimations and two-stage least squares estimation and generalised method of moment (GMM) estimation

Dynamic Econometric Models: Autoregressive and distributed-lag model

Time-Series Analysis: stationarity and non-stationarity, tests for stationarity, concept of cointegration and estimation models

Estimation of Production Functions: parametric, semi-parametric and non-parametric; approaches to estimate total factor productivity (TFP)

Course No. C04

Course title: Research and Public Ethics

Number of credits: 2 | Course Type: Core
Instructors: Satyaki Roy, Santosh Das & ISID faculty members

This course has total 6 units focusing on basics of philosophy of science and ethics, research integrity, publication ethics. Hands-on-sessions are designed to identify research misconduct and predatory publications. Indexing and citation databases, open access publications, research metrics (citations, h-index, Impact Factor, etc.) and plagiarism tools will be introduced in this course.

Philosophy and Ethics: Introduction to philosophy: definition, nature and scope, concept, branches

Ethics: definition, moral philosophy, nature of moral judgements and reactions

Scientific Conduct: Ethics with respect to science and research, Intellectual honesty and research integrity, Scientific misconducts: Falsification, Fabrication, and Plagiarism (FFP),

Redundant publications: Duplicate and overlapping publications, salami slicing, Selective reporting and misrepresentation of data

Publication Ethics
  • Publication ethics: definition, introduction and importance
  • Best practices / standards setting initiatives and guidelines: COPE, WAME, etc.
  • Conflicts of interest
  • Publication misconduct: definition, concept, problems that lead to unethical behavior and vice versa, types
  • Violation of publication ethics, authorship and contributorship
  • Identification of publication misconduct, complaints and appeals
  • Predatory publishers and journals
Open Access Publishing
  • Open access publications and initiatives
  • SHERPA/RoMEO online resource to check publisher copyright & self-archiving policies
  • Software tool to identify predatory publications developed by SPPU
  • Journal finder / journal suggestion tools viz. JANE, Elsevier Journal Finder, Springer Journal
  • Suggester, etc.
Publication Misconduct

Group Discussions 

  • Subject specific ethical issues, FFP, authorship
  • Conflicts of interest
  • Complaints and appeals: examples and fraud from India and abroad

Software tools 

  • Use of plagiarism software like Tumitin, Urkund and other open source software tools
Databases and Research Metrics

Databases 

  • Indexing databases
  • Citation databases: Web of Science, Scopus, etc.

Research Metrics 

  • Impact Factor of journal as per Journal Citation Report, SNIP, SJR, IPP, Cite Score
  • Metrics: h-index, g index, ilO index, altmetrics

Course No. C05

Course title: Databases and Applications 

Number of Credit: 1 | Course Type: Core
Instructors: ISID Faculty

The course aims to equip scholars with the essential database and software skills required for research on industrial development. It introduces key databases and tools used in contemporary research and industry, enabling scholars to independently design and conduct data-driven studies. The course fosters the ability to utilize relevant data for specific research interests, bridging foundational knowledge with advanced applications. Ultimately, it prepares scholars to contribute meaningfully to their field by leveraging data for insightful analysis and informed decision-making.

Databases on Indian industry

The module covers macroeconomic databases, databases on Indian industry, large socio-economic survey databases, statistics on foreign trade

Software

The module covers econometric package and Geographic Information System mapping

Introduction to methods in database systems

The module covers Supply-Use Tables, Input-Output database, Input-Output models and Computable General Equilibrium analysis, and Big Data & Machine Learning