Introduction to Economics: Micro and Macro Economics -
Micro Economics: Welfare Economics: Supply and Demand, Elasticity; Consumption and Consumer behaviour; Production and
Theory of costs. Market Organisation: Competition, Monopoly.
Macro Economics: National income accounting, demand and supply. Simple Keynesian model and extensions.
Consumption and Investment. Inflation and Unemployment.Fiscal policy Money, banking and finance.
Reference Texts:
1. Intermediate Microeconomics by Hal
Varian
2. Microeconomic Theory by Richard Layard and A.A. Walter
3. Microeconomics in Context by N. Goodwin, J. Harris, J. Nelson, B. Roach and M. Torras
4. Microeconomics:
behavior, institutions, and evolution by Bowles S
5. Macroeconomics by N. G. Mankiw
6. Macroeconomics by R Dornbusch and S Fisher
7. Macroeconomics in context by N
Goodwin, J Harris, J Nelson, B Roach and M Torras
- Teacher: Madhura Swaminathan
Syllabus:
Analysis of Discrete data: Nonparametric methods: Decision theory,
Goodness of fit tests, Multiway contingency tables, Odds ratios, Logit
model, Wilcoxon test, Wilcoxon signed
rank test, Kolmogorov test. Elements of decision theory : Bayes and
minimax procedures.
Reference Texts:
1. G. K. Bhattacharya and R. A. Johnson: Statistics :
Principles and Methods
2. P. J. Bickel and K. A. Doksum: Mathematical Statistics
3. E. J. Dudewicz and S. N. Mishra: Modern Mathematical Statistics
4. V. K. Rohatgi:
Introduction to Probability Theory and Mathematical Statistics
https://www.isibang.ac.in/~adean/infsys/database/Bmath/S4.html
- Teacher: Soumyashant Nayak
Syllabus: Discrete parameter martingales
(without conditional expectation w.r.t. algebras), Branching processes,
Markov models for epidemics,
Queueing models.
Notes: (i) Measure theory to be avoided. Of course, use of DCT, MCT, Fubini, etc.
overtly or covertly permitted. (ii) Relevant materials concerning Markov chains, including
continuous time MCs, may be reviewed. If this course runs concurrently with Prob. III
(where Markov chains are taught), some concepts/facts needed may be stated with proofs
deferred to Prob. III. (iii) Genetic models may also be included, but then at least two
topics from the above may have to deleted, as the background material from genetics may
be formidable.
Reference Texts:
1. A. Goswami and B. V. Rao: A Course in Applied Stochastic Processes.
Hindustan Book Agency
2. S. Karlin and H. M. Taylor: A First and Second Course in Stochastic Processes.
Academic Press, 1975 and 1981.
3. S. M. Ross: Introduction to Probability Models.8th
edition.Academic Press/Elsevier, Indian reprint, 2005. (Paperback)
4. S. M. Ross: Stochastic Processes. 2nd edition. Wiley Student
Edition, 2004. (Pa-perback)
https://www.isibang.ac.in/~adean/infsys/database/Bmath/ASP.html
- Teacher: Siva Athreya