scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Has India Emerged? Business Cycle Stylized Facts from a Transitioning Economy

TL;DR: In this paper, the authors present a comprehensive set of stylized facts for business cycles in India from 1950 to 2010, and report evidence that these changes are driven primarily by structural changes caused by market oriented reforms, and not by good luck.
About: This article is published in Structural Change and Economic Dynamics.The article was published on 2013-03-01 and is currently open access. It has received 35 citations till now. The article focuses on the topics: Stylized fact & Business cycle.

Summary (3 min read)

1 Introduction

  • This paper describes the changing nature of the Indian business cycle from 1950 - 2009.
  • The authors focus is to compare India’s business cycle in the pre 1991 economy, with the post 1991 Indian economy, after the large scale liberalization reforms of 1991.
  • The authors main finding is that after the liberalisation of the Indian economy in 1991, the properties of the Indian business cycle look closer to that of advanced industrialized economies in several key respects.
  • This paper - to the best of their knowledge - is the first such exercise to comprehensively document changes in the properties of the Indian business cycle in the pre and post reform period.

2 Stylised Facts from Emerging Economies

  • As noted in the introduction, one of the main features that distinguishes emerging economies business cycles from advanced economies is their higher volatility.
  • Conversely, a developed economy characterised by relatively stable growth process will be dominated by standard, transitory productivity shocks.
  • Since labour supply is insensitive to interest rate shocks, a lower demand for labour leads to lower levels of employment and output in equilibrium.
  • A discussion of the sources of aggregate business cycle fluctuations assumes greater relevance for a country like India that has undergone significant transformation since the early nineties.

3 India in Transition

  • As mentioned earlier, a careful analysis of business cycle stylised facts assume greater relevance for an economy like India that is subject to significant transformation over the last two decades.
  • The first two plots of Figure 1 show the behaviour of the consumption-output ratio and investment output ratio from 1950-2009.
  • Here, excess output volatility results because of capacity under-utilization.
  • Aghion et al. (2010) show however that there is not much evidence that investment responds more to productivity shocks in economies with less good capital markets.
  • In the India of present times, monsoon shocks matter less.

4 The Dataset

  • The authors now undertake a formal analysis of Indian business cycle stylised facts.
  • This is consistent with the literature on stylised facts (King and Rebelo, 1999; Stock and Watson, 1999; Male, 2010), that relies on quarterly data to study business cycle properties of macroeconomic variables.
  • In addition, the authors analyze exports, imports, net exports, consumer prices (Consumer Price Index-Industrial Worker (cpi-iw))7, government expenditure and the nominal exchange rate.
  • The data for government expenditure is taken from the budget documents of the Government of India.
  • The other components of gross domestic private investment are residential and non-residential investment.

5 Statistical Methodology

  • The business cycles examined in the literature are typically known as growth cycles, extending from the work of (Lucas, 1977) where the business cycle component of a variable is defined as its deviation from trend.
  • The authors follow this standard methodology in deriving the stylised facts for Indian business cycles.
  • 8Business cycles dating goes back to the early work by (Burns and Mitchell, 1946).
  • Once adjusted for seasonality, the series are transformed to log terms and then filtered to extract the cyclical and trend component.
  • A large literature exists on the choice of the de-trending procedure to extract the business cycle component of the relevant time series (Canova, 1998; Burnside, 1998; Bjornland, 2000).

In essence, the Hodrick-Prescott method involves defining a cyclical output

  • After de-trending the series to obtain the cyclical components, the authors can then determine the properties of the business cycle.
  • In the subsequent analysis, all references to the variables refer to their cyclical component.
  • Relative volatility is the ratio of volatility of the variable of interest and the variable used as a measure 9We have set set up a website, www.mayin.org/cycle.in/ which has seasonally adjusted data for key Indian monthly and quarterly time-series.the authors.the authors.
  • This data is updated every Monday. of aggregate business cycle activity.
  • A relative volatility of more than one implies that the variable has greater cyclical amplitude than the aggregate business cycle.

6 Indian Business Cycle Stylised Facts in the

  • Pre and Post Reform Period Table 3, which constitutes the main finding of this paper shows the changing nature of the Indian business cycle from 1950 - 2009.
  • The volatility statistics of the key macroeconomic variables present a mixed picture.
  • Increased pro-cyclicality of imports with output : Imports have become pro-cyclical in the post-reform period.
  • The nominal exchange rate has turned counter-cyclical in the post-reform period.
  • Investment and imports are found to be strongly correlated with output in the post-reform period.

7.1 Stylised Facts with Quarterly Data

  • In this section the authors present the results with quarterly data to check whether the results are consistent with results for the post-reform period in the annual data.
  • Again, this is consistent with the findings for developing economies.
  • The relative volatility of price level for India is 1.09 Exports and Imports exhibit significant volatilities.
  • Again, this feature indicates resemblance between Indian and advanced economies business cycle facts.
  • With the quarterly analysis, which pertains to recent data, the authors report a significant counter-cyclical relation between government expenditure and output.

7.2 An Alternative Detrending Method

  • As another sensitivity measure, the authors check the robustness of their annual results to the choice of the de-trending technique.
  • Output volatility shows a decline in the post-reform period.
  • Similar to the findings with the Hodrick-Prescott filter, nominal exchange rate becomes counter-cyclical in the post-reform period, though the level of significance varies.
  • The Baxter-King filter, however tends to underestimate the cyclical component.
  • The statistical testing procedure shows that the difference in correlations is close to the cutoff value of 1.96, even though it is not as strong as with the Hodrick-Prescott filter.

7.3 Redefining the Sample Period

  • To maintain uniformity in sample size the authors redefine the pre-reform period as starting from 1971.
  • Other variables, with the exception of investment, exports, imports and net exports also show a fall in volatility from the pre to post reform period.

8 Conclusion

  • Documenting business cycle stylised facts forms the foundation of quantitative general equilibrium models either in the RBC or DSGE tradition.
  • Net exports and nominal exchange rate become counter-cyclical in the post-reform period.
  • This kind of study holds relevance not just for India, but for any economy that undergoes transition.
  • Both closed and open economy models can be examined.

Did you find this useful? Give us your feedback

Figures (12)
Citations
More filters
Journal ArticleDOI
01 Jun 1949
TL;DR: Acemoglu et al. as mentioned in this paper showed that business cycles are both less volatile and more synchronized with the world cycle in rich countries than in poor ones, and they developed two alternative explanations based on the idea that comparative advantage causes rich countries to specialize in industries that use new technologies operated by skilled workers, while poor countries specialize in traditional technologies operate by unskilled workers.
Abstract: Business cycles are both less volatile and more synchronized with the world cycle in rich countries than in poor ones. We develop two alternative explanations based on the idea that comparative advantage causes rich countries to specialize in industries that use new technologies operated by skilled workers, while poor countries specialize in industries that use traditional technologies operated by unskilled workers. Since new technologies are difficult to imitate, the industries of rich countries enjoy more market power and face more inelastic product demands than those of poor countries. Since skilled workers are less likely to exit employment as a result of changes in economic conditions, industries in rich countries face more inelastic labour supplies than those of poor countries. We show that either asymmetry in industry characteristics can generate cross-country differences in business cycles that resemble those we observe in the data. We are grateful to Daron Acemoglu and Fabrizio Perri for useful comments. The views expressed here are the authors' and do not necessarily reflect those of The World Bank. Business cycles are not the same in rich and poor countries. A first difference is that fluctuations in per capita income growth are smaller in rich countries than in poor ones, in the top panel of Figure 1 , we plot the standard deviation of per capita income growth against the level of (log) per capita income for a large sample of countries. We refer to this relationship as the volatility graph and note that it slopes downwards. A second difference is that fluctuations in per capita income growth are more synchronized with the world cycle in rich countries than in poor ones. In the bottom panel of Figure 1 , we plot the correlation of per capita income growth rates with world average per capita income growth, excluding the country in question, against the level of (log) per capita income for the same set of countries. We refer to this relationship as the comovement graph and note that it slopes upwards. Table 1 , which is self-explanatory, shows that these facts apply within different sub-samples of countries and years. 1 Why are business cycles less volatile and more synchronized with the world cycle in rich countries than in poor ones? Part of the answer must be that poor countries exhibit more political and policy instability, they are less open or more distant from the geographical center, and they also have a higher share of their economy devoted to the production of agricultural products and the extraction of minerals. Table 1 shows that, in a statistical sense, these factors explain a substantial fraction of the variation in the volatility of income growth, although they do not explain much of the variation in the comovement of income growth. More important for our purposes, the strong relationship between income and the properties of business cycles reported in Table 1 is still present after we control for these variables. In short, there must be other factors behind the strong patterns depicted in Figure 1 beyond differences in political instability, remoteness and the importance of natural resources. With the exception that the comovement graph seems to be driven by differences between rich and poor countries and not within each group. Acemoglu and Zilibotti (1997) also present the volatility graph. They provide an explanation for it based on the observation that rich countries have more diversified production structures. We are unaware of any previous reference to the comovement graph. In this paper, we develop two alternative but non-competing explanations for why business cycles are less volatile and more synchronized with the world in rich countries than in poor ones. Both explanations rely on the idea that comparative advantage causes rich countries to specialize in industries that require new technologies operated by skilled workers, while poor countries specialize in industries that require traditional technologies operated by unskilled workers. This pattern of specialization opens up the possibility that cross-country differences in business cycles are the result of asymmetries between these types of industries. In particular, both of the explanations advanced here predict that industries that use traditional technologies operated by unskilled workers will be more sensitive to country-specific shocks. Ceteris paribus, these industries will not only be more volatile but also less synchronized with the world cycle since the relative importance of global shocks is lower. To the extent that the business cycles of countries reflect those of their industries, differences in industrial structure could potentially explain the patterns in Figure 1 . One explanation of why industries react differently to shocks is based on the idea that firms using new technologies face more inelastic product demands than those using traditional technologies. New technologies are difficult to imitate quickly for technical reasons and also because of legal patents. This difficulty confers a cost advantage on technological leaders that shelters them from potential entrants and gives them monopoly power in world markets. Traditional technologies are easier to imitate because enough time has passed since their adoption and also because patents have expired or have been circumvented. This implies that incumbent firms face tough competition from potential entrants and enjoy little or no monopoly power in world markets. The price-elasticity of product demand affects how industries react to shocks. Consider, for instance, the effects of country-specific shocks that encourage production in all industries. In industries that use new technologies, firms have monopoly power and face inelastic demands for their products. As a result, fluctuations in supply lead to opposing changes in prices that tend to stabilize industry income. In industries that use traditional technologies, firms face stiff competition from abroad and therefore face elastic demands for their products. As a result, fluctuations in supply have little or no effect on their prices and industry income is more volatile. To the extent that this asymmetry in the degree of product-market competition is important, incomes of industries that use new technologies are likely to be less sensitive to country-specific shocks than those of industries that use traditional technologies. Another explanation for why industries react differently to shocks is based on the idea that the supply of unskilled workers is more elastic than the supply of skilled workers. A first reason for this asymmetry is that non-market activities are relatively more attractive to unskilled workers whose market wage is lower than that of skilled ones. Changes in labour demand might induce some unskilled workers to enter or abandon the labour force, but are not likely to affect the participation of skilled workers. A second reason for the asymmetry in labour supply across skill categories is the imposition of a minimum wage. Changes in labour demand might force some unskilled workers in and out of unemployment, but are not likely to affect the employment of skilled workers. The wage-elasticity of the labour supply also has implications for how industries react to shocks. Consider again the effects of country-specific shocks that encourage production in all industries and therefore raise the labour demand. Since the supply of unskilled workers is elastic, these shocks lead to large fluctuations in employment of unskilled workers. In industries that use them, fluctuations in supply are therefore magnified by increases in employment that make industry income more volatile. Since the supply of skilled workers is inelastic, the same shocks have little or no effects on the employment of skilled workers. In industries that use them, fluctuations in supply are not magnified and industry income is less volatile. To the extent that this asymmetry in the elasticity of labour supply is important, incomes of industries that use unskilled workers are likely to be more sensitive to country-specific shocks than those of industries that use skilled workers To study these hypotheses we construct a stylized world equilibrium model of the cross-section of business cycles. Inspired by the work of Davis (1995), we consider in section one a world in which differences in both factor endowments a la Heckscher-Ohlin and industry technologies a la Ricardo combine to determine a country's comparative advantage and, therefore, the patterns of specialization and trade. To generate business cycles, we subject this world economy to the sort of productivity fluctuations that have been emphasized by Kydland and Prescott (1982). 2 In section two, we characterize the cross-section of business cycles and show how asymmetries in the elasticity of product demand and/or labour supply can be used to explain the evidence in Figure 1 . Using available microeconomic estimates of the key parameters, we calibrate the model and find that: (i) The model exhibits slightly less than two-thirds and one-third of the observed cross-country variation in volatility and comovement, respectively; and (ii) The asymmetry in the elasticity of product demand seems to have a quantitatively stronger effect on the slopes of the volatility and comovement graphs, than the elasticity in the labour supply. We explore these results further in sections three and four. In section three, we extend the model to allow for monetary shocks that have real effects since firms face cash-in-advance constraints. We use the model to study how cross-country variation in monetary policy and financial development affect the cross-section of business cycles. Once these factors are considered, the calibrated version of the model exhibits roughly the same cross-country variation in volatility and about 40 percent of the variation in comovement as the data. In section four, we show th

742 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the role of structural change in determining India's aggregate productivity growth during 1980-2011 and found that the impact of static structural change on aggregate labor productivity has been positive, as workers moved to sectors of a relatively higher labor productivity level.

39 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the role of bank-specific variables in explaining the dynamics of non-performing assets (NPAs) of Indian banks in a panel data framework over the post liberalisation period, 1995-2011.
Abstract: The paper examines the role of bank-specific variables in explaining the dynamics of non-performing assets (NPAs) of Indian banks in a panel data framework over the post liberalisation period, 1995–2011. The results have been derived after controlling for macroeconomic factors like real GDP, inflation, exchange rate etc. Applying several variants of Generalized Method of Moments (GMM) technique in dynamic models, we find that that there is significant time persistence of NPAs in Indian banking system. We also find that larger banks are more prone to default than smaller banks. We find support for the ‘bad management hypothesis’ as we observe that an increase in profit level of the banks reduces NPAs in the next period. Lagged capital adequacy ratio as an important prudential indicator also significantly reduces current NPAs of banks. The paper also draws some important policy implications about NPA management.

27 citations

Posted Content
TL;DR: In this paper, the authors link business cycle volatility to barriers on international mobility of goods and capital and show that neither the degree of capital mobility, nor the level of goods mobility is strongly correlated with the volatility of consumption, investment, or output.
Abstract: This paper links business cycle volatility to barriers on international mobility of goods and capital. Theory predicts that capital market integration should lower consumption volatility while raising investment volatility, if most shocks are country-specific and transitory. The removal of barriers to trade in goods should enhance specialization and hence output volatility. We test these ideas using a unique panel data set which includes indicators of barriers to trade in both goods and capital flows. However, our empirical results indicate that neither the degree of capital mobility, nor the degree of goods mobility is strongly correlated with the volatility of consumption, investment or output. This may reflect the fact that many business cycle shocks are both persistent and common to many countries.

22 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the impact of intangible capital on economic growth and showed that expansion of the intangible capital sector may enhance growth by drawing human capital from the other sectors, especially for countries where physical capital is relatively scarce.

18 citations

References
More filters
Journal ArticleDOI
TL;DR: In this article, a procedure for representing a times series as the sum of a smoothly varying trend component and a cyclical component is proposed, and the nature of the comovements of the cyclical components of a variety of macroeconomic time series is documented.
Abstract: A study documents some features of aggregate economic fluctuations sometimes referred to as business cycles. The investigation uses quarterly data from the postwar US economy. The fluctuations studied are those that are too rapid to be accounted for by slowly changing demographic and technological factors and changes in the stocks of capital that produce secular growth in output per capita. The study proposes a procedure for representing a times series as the sum of a smoothly varying trend component and a cyclical component. The nature of the comovements of the cyclical components of a variety of macroeconomic time series is documented. It is found that these comovements are very different than the corresponding comovements of the slowly varying trend components.

5,998 citations

01 Jan 1997

5,882 citations


"Has India Emerged? Business Cycle S..." refers methods in this paper

  • ...We use the Hodrick–Prescott filter (Hodrick and Prescott, 1997) to de-trend the series and then check the robustness of our results with the Baxter–King filter (Baxter and King, 1999).33 33 A large literature exists on the choice of the de-trending procedure to extract the business cycle component…...

    [...]

  • ...We use the Hodrick–Prescott filter (Hodrick and Prescott, 1997) to de-trend the series and then check the robustness of our results with the Baxter–King filter (Baxter and King, 1999)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, the authors investigate whether macroeconomic time series are better characterized as stationary fluctuations around a deterministic trend or as non-stationary processes that have no tendency to return to the deterministic path, and conclude that macroeconomic models that focus on monetary disturbances as a source of purely transitory fluctuations may not be successful in explaining a large fraction of output variation.

4,805 citations


"Has India Emerged? Business Cycle S..." refers background in this paper

  • ...17 Much of the literature following Nelson and Plosser (1982) supports the view that it is impossible to distinguish large stationary autoregressive roots from unit auto-regressive roots, and that there might be non-linear trends....

    [...]

Journal ArticleDOI
TL;DR: In this article, the authors construct estimates of external assets and liabilities for 145 countries for the period 1970-2004, focusing on trends in net and gross external positions, and the composition of international portfolios.
Abstract: We construct estimates of external assets and liabilities for 145 countries for the period 1970-2004. We describe our estimation methods and present key features of the data at the country and the global level. We focus on trends in net and gross external positions, and the composition of international portfolios, distinguishing between foreign direct investment, portfolio equity investment, official reserves, and external debt. We document the increasing importance of equity financing and the improvement in the external position for emerging markets, and the differing pace of financial integration between advanced and developing economies. We also show the existence of a global discrepancy between estimated foreign assets and liabilities, and identify the asset categories that account for this discrepancy.

2,536 citations

Journal ArticleDOI
TL;DR: The idea underlying cointegration allows specification of models that capture part of such beliefs, at least for a particular type of variable that is frequently found to occur in macroeconomics.
Abstract: At the least sophisticated level of economic theory lies the belief that certain pairs of economic variables should not diverge from each other by too great an extent, at least in the long-run. Thus, such variables may drift apart in the short-run or according to seasonal factors, but if they continue to be too far apart in the long-run, then economic forces, such as a market mechanism or government intervention, will begin to bring them together again. Examples of such variables are interest rates on assets of different maturities, prices of a commodity in different parts ofthe country, income and expenditure by local government and the value of sales and production costs of an industry. Other possible examples would be prices and wages, imports and exports, market prices of substitute commodities, money supply and prices and spot and future prices of a commodity. In some cases an economic theory involving equilibrium concepts might suggest close relations in the long-run, possibly with the addition of yet further variables. However, in each case the correctness of the beliefs about long-term relatedness is an empirical question. The idea underlying cointegration allows specification of models that capture part of such beliefs, at least for a particular type of variable that is frequently found to occur in macroeconomics. Since a concept such as the long-run is a dynamic one, the natural area for these ideas is that of time-series theory and analysis. It is thus necessary to start by introducing some relevant time series models. Consider a single series Xf, measured at equal intervals of time. Time series theory starts by considering the generating mechanism for the series. This mechanism should be able to generate att of the statistical properties of the series, or at very least the conditional mean, variance and temporal autocorrelations, that is the 'linear properties' of the series, conditional on past data. Some series appear to be 'stationary', which essentially implies that the linear properties exist and are timeinvariant. Here we are concerned with the weaker but more technical

2,457 citations


"Has India Emerged? Business Cycle S..." refers background in this paper

  • ...Jayaram et al. (2009) show that the integration with the global economy has also resulted in greater business cycle synchronisation with advanced economies and with the US....

    [...]

Frequently Asked Questions (2)
Q1. What contributions have the authors mentioned in the paper "Discussion papers in economics has india emerged? business cycle stylized facts from a transitioning economy" ?

This paper presents a comprehensive set of stylised facts for business cycles in India from 1950 2009. 

Future work can use the findings of this paper to assess the extent to which DSGE models, starting with the simplest RBC model through to NewKeynesian models with labour markets and financial frictions introduced in stages, can explain business cycle fluctuations in India. Another avenue for future work relates to ( Lucas, 1987 ), which pointed out that the welfare gains from eliminating business cycle fluctuations in the standard RBC model are small, and dwarfed by the gains from increased growth. Both closed and open economy models can be examined. Proceeding in this way, one will be able to assess the relative importance of various frictions in driving aggregate fluctuations in India.