An Estimated DSGE Model of the Indian Economy.



where consumption, technical LAP, the real wage and tax rates, and government spending
(all indicated by
Xt) are growing at a common growth rate.

There are three parameters AF, AI and w that are dependent on the units chosen and
therefore cannot be calibrated nor estimated. By choice of units of labour in both sectors,
and units of capital and labour, we can normalize
AF = AI = 1. Then instead of estimating
w for which we can have no priors we estimate a
dimensionless quantity: the relative nominal
outputs for the two sectors
relY . In terms of the endogenous steady state variable w we
then have

relY


PfYf = 'w Pt 1-- Ct + (PF) (It + Gt)
Pi Y- =      (1 - w) ( P ´1 -μ CIt

(B.1)


(B.2)


From (B.1) we can solve for w to obtain

w=


relγ ( P ´1 μ Ct - ( P ´ (It + Gt)
( P )1 ~μ Ct + relY ( P )1 ~μ Ct

so we can solve for w as a post-recursive variable. This completes the specification of the
model which now includes
relY as a parameter to be estimated, which has been switched
with w which is now an endogenous variable in the steady state.

We can also use data for the the relative numbers of workers employed in the formal
sector
reln given in the model by

rel =     (1 - ʌ) nF

(B.3)


n (1 - A)(1 - nF) + A

From Marjit and Kar (2008) we learn that in 2001 80% workers in industry were informal
and they contributed 28% to GDP. This implies
reln = 0.25 and relY = 2.6 implying
a formal-informal labour productivity ratio of around 10:1. Sen and Kolli (2009) suggest
estimates
reln = 0.1 and relY = 1.1 implying a slightly higher productivity ratio 1:11. Rada
(2009) provide estimates
reln = 0.075. relY = 0.68 implying a slightly lower productivity
ratio 1:9.
16

The question is: how can the model be calibrated to reproduce this high productivity
gap? There are two parameters we can vary that increase the size of the informal sector and
reduce its marginal product of labour: the mark-up of the real wage in the formal sector
over that in the informal sector,
rw, and labour shares in production, αI and αI . Figure
2 puts
αF = 0.6 < αI = 0.8 and varies rw, Figure 3 puts αF = 0.5 < αI = 0.8 and again

16 This productivity gap seems very high. Ila Patnaik has pointed out that the informal sector employment
numbers may be exaggerated as they include all household members, employed or otherwise, in the household
sector. As a first attempt we therefore choose priors
reln = 0.2, relY = 1 implying a productivity ratio of
1:5.

40



More intriguing information

1. THE CHANGING STRUCTURE OF AGRICULTURE
2. Parallel and overlapping Human Immunodeficiency Virus, Hepatitis B and C virus Infections among pregnant women in the Federal Capital Territory, Abuja, Nigeria
3. Weak and strong sustainability indicators, and regional environmental resources
4. CAN CREDIT DEFAULT SWAPS PREDICT FINANCIAL CRISES? EMPIRICAL STUDY ON EMERGING MARKETS
5. Agricultural Policy as a Social Engineering Tool
6. AN EXPLORATION OF THE NEED FOR AND COST OF SELECTED TRADE FACILITATION MEASURES IN ASIA AND THE PACIFIC IN THE CONTEXT OF THE WTO NEGOTIATIONS
7. Migration and employment status during the turbulent nineties in Sweden
8. The storage and use of newborn babies’ blood spot cards: a public consultation
9. Innovation Policy and the Economy, Volume 11
10. Dementia Care Mapping and Patient-Centred Care in Australian residential homes: An economic evaluation of the CARE Study, CHERE Working Paper 2008/4