Hm-Hu 701
Hm-Hu 701
Business Cycle
From
[Economics For Engineers (HM-HU 701]
Continuous Assessment 2(CA 2)
Under
MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY
(Formerly known as West Bengal University of Technology)
Submitted by
NAME: Pravat Kumar Rout
Recessi
Prosperi
Prosperit
Depressio
Line Troug
Time X
Expansion Phase
In the expansion phase, there is an increase in various economic factors, such as production,
employment, output, wages, profits, demand and supply of products, and sales. An expansion stage can
begin as the result of many forces, including
willingness of financial institutions to lend more and willingness of business houses to borrow more. There is
overall optimism in the economy. The expansion phase continues till the economic environment is favourable.
During the expansion phase, the economy often gets overheated in the sense that various constrains and
frictions develop in the economy. Wage rate and prices increase much faster than output leading to hike in
production cost and decline inprofits. The central bank pursues a restrictive monetary policy so that inflation is
in under control.
Economic growth in the expansion phase eventually slows down and reaches its peak. During the peak of a
business cycle, economic variables such as production, profits, sales and employment are high; but do not
accelerate further. There is gradual decrease in the demand for various inputs due to the increase in input
prices. The increase in input prices leads to increase in production prices while real income of people does not
increase proportionately. It leads consumers to restructure their monthly budget and the demand for products,
particularly luxuries and consumer durables, starts falling. The peak also occurs before various economic
indicators such as retail sales and the number of employed people falls. When the decline in the demand for
products become rapid and steady, recession takes place
Contraction Phase
In recession phase, all the economic variables such as production, prices, saving and investment, starts
decreasing. Generally, in the beginning of the downturn, producers are not aware of the decrease in the
demand for their products and theycontinue to produce goods and services. In such a case, the supply exceeds
demand and there is accumulation of inventories. Over the time, producers realize that there is an unwanted
accumulation of inventories, escalation in production cost, and decline in profits. Such a condition is first
experienced by few industries and slowly spreads to the whole economy. During the recession phase,
producers usually avoid new investments which lead to the reduction in the demand for factors of production,
and consequent decline in input prices and unemployment. Firms reduce levels of production and the number
of people on their payrolls. A chain reaction starts, lower income, lower demand, lower output, lower
employment, and so on. The adverse effects of recession extent beyond the purely economic realm and
influence the social fabric of society as well. Social unrest and crimes tend to rise during recession.
When recession continues further, economic growth rate may be negative also. This phase is sometimes
termed as ‘depression’. During depression, there is not just a decline in the growth rate; there is a decline in
the absolute level of GDP. As sales declines, business houses find it difficult to repay their debts. As business
sentiments are low enough to carry out new investments, demand for credit declines. Banks also become
cautious in their lending as the chances of default on repayment increases. The economy however revives its
growth rate over a period of time and optimism build up in certain sectors of the economy.
This leads to reversal of the recession phase and the recovery phase starts.
Individuals and organizations start developing a positive attitude towards the various economic factors,
such as investment, employment and production. In the recovery phase, there is an increase in consumer
spending and demand for consumer goods. This provides incentive to firms to increase production, carry
out new investments, hire more labour, etc. Further, there could be some investment during the recession
phase due to replacement of obsolete machines and maintenance of existing capital stock.
Price level plays a very important role in the ‘recovery phase’ of an economy. As pointed out earlier,
during the recession phase decline in input prices is greater than the decline in product prices. This leads
to a reduction in the cost of production and increase in profits. Apart from this, in the ‘recovery phase,
some of the depreciated capital goods are replaced by producers and some are maintained by them. As a
result, investment and employment by organizations increases. As this process gains momentum, an
economy again enters into the phase of expansion. Thus, the business cycle gets completed.
IDENTIFICATION OF BUSINESS CYCLES
Understanding the various phases of business cycles is essential, because it will help the government in
taking counter-cyclical measures. This requires identifying the turning points of a business cycle. In the
United States, the National Bureau of Economic Research (NBER) has a dedicated research programme
for identifying the dates of business cycle turning points.
Similarly the Euro Area Business Cycle Dating Committee of the Centre for Economic Policy Research
(CEPR) identifies the chronology of recessions and expansions of the Euro Area member countries. In
India also there have been some attempts by scholars to identify the chronology of business cycles (See, for
example, Dua and Banerjee (2000) and Chitre (2001)).
The NBER's Business Cycle Dating Committee maintains a chronology of the United States business cycle.
The chronology comprises alternating dates of peaks and troughs in economic activity. A recession is a
period between a peak and a trough, and an expansion is a period between a trough and a peak. According
to NBER a recession is a significant decline in economic activity spread across the economy, lasting more
than a few months, normally visible in real GDP, real income, employment, industrial production, and
wholesale-retail sales. Similarly, during an expansion, economic activity rises substantially, spreads across
the economy, and usually lasts for several years. Thus, the NBER approach identifies cycles as recurrent
sequences of alternating phases of expansion and contraction in the levels of a large number of economic
time series. This working definition of business cycle has been in use at the NBER for over fifty years, and it
is currently employed by the NBER to identify and date the United States business cycle. These dates are
widely accepted by government, researchers and business analysts.
In both recessions and expansions, brief reversals in economic activity may occur
– a recession may include a short period of expansion followed by further decline; an expansion may
include a short period of contraction followed by further growth. The Business Cycle Dating Committee
applies its judgment based on the above definitions of recessions and expansions and has no fixed rule to
determine these upturns and downturns.
The Committee does not have a fixed definition of economic activity. It examines and compares the behaviour
of various measures of broad activity: real GDP measured on the product and income sides, economy-wide
employment, and real income. The Committee also may consider indicators that do not cover the entire
economy, such as real sales and the Federal Reserve's index of industrial production (IIP)
According to Business Cycle Indicators Handbook 2020, a business cycle indicator should fulfil the
following criteria:
(i) Conformity: the series must conform well to business cycles;
(ii) Consistent Timing: the series must exhibit a consistent timing patternover time as a leading,
coincident or lagging indicator;
(iii) Economic Significance: the cyclical timing of the series must beeconomically logical;
(iv) Statistical Adequacy: data on the variable must be collected andprocessed in a statistically reliable
way;
(v) Smoothness: month-to-month movements in the variable must not be tooerratic; and which are similar
in timing at peaks and troughs with business cycles. Business cycle indicators are classified into three
groups, viz., leading, roughly-coincident and lagging.
Leading Indicators
Leading economic indicators help us assess where the economy is headed. They foreshadow what is
coming, such a turning point, before it actually happens.
One of the most significant leading indicators is the stock market itself, gauged by an index such as the
S&P 500. It will begin to rise before economic environment seems favourable, and it will begin to
decline before economic conditions seem to warrant it. Another important leading indicator is interest
rates. Low interest rate stimulates borrowing and buying, which favours the economy. An increase in
interest rates shows the economy is doing well, but eventually rising interest rates lead to a slowdown
because less people borrow money to start new projects.
Lagging Indicators
Unlike leading indicators, lagging indicators turn around after the economy changes. Although they do
not typically tell us where the economy is headed, they indicate how the economy changes over time and
can help identify long- term trends. Lagging economic indicators reveal past information about the
economy.
Gross Domestic Product (GDP) is how much a country is producing. There is significant lag time
between when the data is compiled and when it is released, yet it is still an important indicator. Many
consider a recession to be underway if two quarters see back-to-back declining GDP. Other indicators,
such as the Consumer Price Index (CPI), are also sometimes considered lagging indicators, since they
reveal information that is already known to most consumers.
Coincident Indicators
Coincident indicators change (more or less) simultaneously with general economic conditions and
therefore reflect the current status of the economy. They give consumers, business leaders, and policy
makers an idea about where the economy is currently, right now. When the economy rises today, then
coincident indicators are also rising today. Similarly if the economy declines today, then coincident
indicators are also declining today. Typical examples of coincident indicators are industrial production or
turnover. In Table 4.1 wepresent a list of business cycle indicators.
Fig. 4.2 shows how income and output will increase by even l rger amount
when accelerator is combined with the Keynesian multiplier.
= + ...(4.1)
= + ( – ) ...(4.2)
= + ( – − – ) ...(4.3)
where t , t , t stand for income, consumption and investment respectively for
period t, a stands for autonomous consumption, a for autonomous investment,
c for MPC and v for capital-output ratio or accelerator.
From the above equation it is evident that consumption in a period t is a function
of income of the previous period, t–1. That is, one period lag has been assumed
for income to determine the consumption of a period. As regards induced
investment in period t, it is taken to be a function of the change in income in the
previous period. It means that there are two period gaps for changes in income to
determine induced investment. In the equation (4.3) above, induced investment
equals ( t–1 − t–2 ). Substituting equations (4.2) and (4.3) in (4.1), we have
the following:
= + ( – )+ + ( – − – ) ...(4.4)
Equation (4.4) indicates how changes in income are dependent on the values of
MPC ( c ) and capital-output ratio v, (i.e., accelerator).
By taking different combinations of the values of c and v, Samuelson could
describe different paths which the economy would follow. The various
combinations of the values of c and v are shown in Fig. 4.3.
1
D
A
E
C
B
v X
The five paths or patterns of movements in output or income can have depends upon the combinations of
the values of c and v. We depict these paths in Fig. 4, Panels (a) to (e). When the combinations of c and v lie
in the region marked A, an increase in investment will increase output a decreasing rate. Finally it reaches a
new equilibrium as shown in panel (a) of Fig. 4.4.
Income
(Output New
)
Initial
0 X
Time
If the values of c and v lie in region B of Fig. 4.3, a change in investment will generate fluctuations in
income which follow the pattern of a series of damped cycles as shown in panel (b) of Fig. 4.4. It means that
the amplitude goes on declining until the cycles disappear over a period of time.
New
Income
(Output)
Initial
0 X
Time
You should note that region C of Fig. 4.3 represents the combinations of c and v which are relatively high
as compared to the region B. Such values of multiplierand accelerator bring about explosive cycles as given
in panel (c) of Fig. 4.4.
It implies that the fluctuations of income will be successively greater and greaterin amplitude.
Ceiling
Income
(Output)
Initial
0 X
Time
The region D of Fig. 4.3 describes the combinations of c and v which cause income to move upward or
downward at an increasing rate. We have depicted it in panel (d) of Fig. 4.4.
Ceiling
Income
(Output
)
Initial
0 X
Time
In a special case when values of c and v lie in the region E of Fig. 4.3, they produce fluctuations in
income of constant amplitude and are shown in panel (e) of Fig. 4.4. You should note that all the above
five cases do not give rise to
cyclical fluctuations or business cycles. It is only combinations of c and v lyingin the regions B, C and that
produce business cycles.
Income
(Output)
Initial
0 X
Time
Fig. 4.4 Panel (a) to (e) shows different patterns of income (output) movements
for various values of c and v which respectively determine the magnitudes of
multiplier and accelerator.
References:
1) Boschan, C. and A. Banerji (1990), “A Reassessment of Composite Indexes” in Analyzing Modern Business
Cycles, ed., P.A. Klein, M.E. Sharpe, New York.
2) Burns, A.F. and W.C. Mitchell (1946), Measuring Business Cycles, National Bureau of Economic Research,
New York.
3) Chitre, V.S. (1982), “Growth Cycles in the Indian Economy,” Artha Vijnana, 24, 293-450.
4) Dua, P. and A. Banerji (1999), “An Index of Coincident Economic Indicators for the Indian Economy”,
Journal of Quantitative Economics, 15, 177-201.
5) Dua, P. and A. Banerji (2004a), “Monitoring and Predicting Business and Growth Rate Cycles in the Indian
Economy”, in Business Cycles and Economic Growth: An Analysis Using Leading Indicators, ed., P. Dua,
Oxford University Press.
6) Dua, P. and A. Banerji (2004b), “Economic Indicator Approach and Sectoral Analysis: Predicting Cycles in
Growth of Indian Exports”, in Business Cycles and Economic Growth: An Analysis Using Leading
Indicators, ed., P. Dua, Oxford University Press.
7) Layton, A.P. and A. Banerji (2004), “Dating Business Cycles: Why Output Alone is Not Enough”, Business
Cycles and Economic Growth: An Analysis Using Leading Indicators, ed., P. Dua, Oxford University Press.
8) Moore, G.H. (1982), “Business Cycles” in Encyclopaedia of Economics, D. Greenwald, Editor in Chief,
McGraw Hill Book Company, New York.