Market share instability in Brazilian industry: a dynamic panel data analysis

The paper investigates market share instability in the context of Brazilian industry for the 1986–1998 period. The paper proposes the use of panel data unit root tests to access market share instability for a sample of industrial firms from different sectors and therefore generalizes related time series unit root tests proposed by Gallet and List (2001 Gallet, CA and List, JA. 2001. Market share instability: an application of unit root tests for the cigarette industry. Journal of Economics and Business, 53: 473–80.  ). The results mostly indicate that one cannot reject the hypothesis of market share instability and therefore there exist some degree of market rivalry in the Brazilian case.     

The missing link between innovation and performance in Brazilian firms: a panel data approach

This study aims to verify if there is a positive relationship between innovation and productivity and/or profit in Brazil using a recursive model in line with the Crépon, Duguet and Mairesse (CDM) model. Using a rich combination of three databases, this paper considers a sample of more than 10,000 Brazilian industrial firms and the period 2001–2008. Besides using R&D expenditure as a measure of innovation input, this study also tests the technical-scientific personnel stock as a more appropriate measure of innovative effort in emerging countries. This variable considers the tacit knowledge intrinsic to the worker and corrects a possible measurement error bias in the R&D expenditure variable. The empirical strategy uses a reduced form of the CDM model in a panel data structure to provide consistent estimates as it controls for selectivity, simultaneity and endogeneity due to unobserved firm effects. There are still few studies that apply the CDM model for panel data, especially regarding developing countries. The main results suggest that technical-scientific workers positively affect the firms’ probability to innovate while R&D expenditure has no effect. The results also highlight the absence of the effect of innovation on productivity and profit, suggesting a missing link between innovative efforts and Brazilian firms’ performance.     

Foreign direct investment and business cycle co-movements: The panel data evidence

The previous literature has largely overlooked the possible channels through which foreign direct investment (FDI) might influence business cycle synchronization. In this study we analyze the linkages that exist among FDI, trade and industrial dissimilarity in relation to business cycle co-movements using a panel data set taken from 77 pairs of developed countries. The error component three-stage least squares (EC3SLS) estimates from a simultaneous equations model with panel data are shown to be superior to the estimates obtained from single equation models or simultaneous equations models with cross-sectional data. Our results indicate that FDI serves as a channel of international business cycle transmission that is equally important as the channels of trade and monetary policy. On the contrary, industrial dissimilarity is identified as having an indirect impact on the business cycle correlation through trade and FDI. Furthermore, our findings suggest that in our sample FDI is of the horizontal type and tends to substitute for trade.     

Cyclical dumping and correlated business cycles in imperfect markets: empirical applications to the Canadian pulp and paper industry

This paper deals with theoretical and empirical aspects of firm behaviour under imperfect competition and uncertainty. It contains an analysis of the behaviour of a firm facing a stochastic demand curve for its output in the ordinary (home market), but in addition with access to a backstop (international) market. The theory is thus a variation of the theory of dumping. Since the expected volume in general differs from the volume at the expected price, a price-setting mode is not equal to a quantity mode. Cyclical dumping, in the sense of a negative correlation between domestic and foreign sales, would occur if the firm adhered to a pricing mode in the ordinary market, and was able to learn about the demand conditions in the ordinary market before it decided how much to sell in the international market. The expirical part of the paper is an illustration of how to test for different behavioural modes and cyclical dumping by applying the model to the CAnadian pulp and paper industry. In the empirical exercise the domestic markets are the North American market for pulp and newsprint, while the backstop market are the corresponding European markets. One of the main results of this exercise is that the Canadian industry seems to operate under pricing behaviour for both pulp and newsprint, while cyclical dumping on the European market applies only for pulp.     

Inventory investment and financial constraints in the Italian manufacturing industry: A panel data GMM approach

Three large unbalanced panels of Italian manufacturing firms observed over the period 1991–2009 are employed to assess, by means of a dynamic GMM approach, whether the existence of financial frictions is suitable to explain deviations of inventories from their long-run path. A negative response of inventory investment to the presence of financial burdens might provide evidence of a significant role played by the financial framework in conditioning the real side of the economy, especially during recession years, when liquidity problems arise. The negative effect is found over the entire analyzed period, with firms' dimensional aspects accounting more than risk characteristics to explain the phenomenon, but the inclusion of recessionary dummies into the model leads to controversial and puzzling results. A significant recessionary effect is found during the Nineties, accounting for inventories being more sensitive to financial frictions during the main recessionary peaks, 1993 and 1996. The result is not confirmed by the most recent estimates, especially the ones referring to the 2008–2009 recessionary shock, whose effects are investigated for the first time by a paper addressing the inventory investment–financial constraints subject. Alternative hypothesis for the proposed results have been tested on data. Firms were found to rely on inventory decumulation to a lesser extent compared to the past, to generate internal financing. More specifically, disinvestments in financial assets were found to represent, as a matter of fact, one of the main drivers adopted to ease liquidity tensions: a negative and strongly significant relationship with inventory investment was detected, after controlling for short-run liquidity constraints at firm level. By contrast, only a weak negative relationship was established with fixed capital during the same recessionary biennium.     

Industry margins and the business cycle: Some new microeconomic evidence

Analysis of margin flexibility is an important item on the research agendas in macroeconomics and industrial economics. Using a new panel data set for U.S. manufacturing industries, we offer new evidence on the cyclical sensitivity of price-cost margins and on the concentration-margins debate in industrial organization.     

Synchronization and diversity in business cycles: a network analysis of the European Union

In this article, we use a correlation matrix and its internal networks to analyse business cycle synchronization across Europe since 2000. This methodology allows us to summarize individual country interactions and co-movements while also capturing the existing heterogeneity of connectivity within the European economic system. Our results indicate that synchronization of the euro zone countries remained stable from 1999 until the current financial crisis, after which co-movements increased sharply and synchronization rose to the highest in the time sample. By endogenously identifying clusters of countries with close connections in their business cycle, we also refute the commonly accepted notion of identifiable core and peripheral euro zone countries.     

Real earnings and business cycles: new evidence

In the time domain, the observed cyclical behavior of the real wage hides a range of economic influences that give rise to cycles of differing lengths and strengths. This may serve to produce a distorted picture of wage cyclicality. Here, we employ frequency domain methods that allow us to assess the relative contribution of cyclical frequency bands on real wage earnings. Earnings are decomposed into standard and overtime components. We also distinguish between consumption and production wages. Frequency domain analysis is carried out in relation to wages alone and to wages in relation to output and employment cycles. Our univariate analysis suggests that, in general, the dominant cycle followed by output, employment, real consumer and producer wages and their components is 5–7 years. Consistent with previous findings reported in the macro-level literature, our bi-variate results show that the various measures of the wage are generally not linked to the employment cycle. However, and in sharp contrast with previous macro-level studies we find strong procyclical links between the consumer wage and its overtime components and the output cycle, especially at the 5–7 years frequency.

Observed real wages are not constant over the cycle, but neither do they exhibit consistent pro- or counter-cyclical movements. This suggests that any attempt to assign systematic real wage movements a central role in an explanation of business cycles is doomed to failure. (lucas 1977)

     

Sectoral shocks and business cycles: a disaggregated analysis of output fluctuations in the UK

In this paper we first show that it is possible to modify linear real business cycle models to allow for disaggregate (industry-specific) factors in the generation of macroeconomic fluctuations. We then try to determine the relative importance of aggregate and sectoral shocks by doing principal components analysis on the residuals from a VAR of output growth rates in 19 UK industrial sectors. We find that a significant percentage of the innovations in sectoral output growths can be accounted for by a single unobserved component. However, since the model only sets an upper bound to the explanatory power of aggregate impulses, the importance of using sectoral data to extract additional information to bear on the analysis of economic fluctuations is confirmed by our findings.     

Extracting business cycles with three filters: A comparative study and application in the case of China

This paper aims to evaluate the performances of the wavelet, Hodrick–Prescott (HP), and Baxter–King (BK) filters in extracting cyclical information and to use an appropriate method to analyze China's business cycles. First, we use a second-order autoregression (AR (2)) and random walk, based on Monte Carlo simulation experiments, to generate the data-generating processes (DGPs) with different frequency characteristics. Second, the HP, BK, and wavelet filters are applied to extract the cyclical components of the respective DGPs. Third, the filtering abilities of the three methods are statistically compared. The results show the following: (1) Under the condition that the DGP is low frequency (long cycle) and trend dominated, the filtering performance of the three methods will remain unsatisfactory. (2) If the DGP is high frequency (short cycle), all three methods can serve as effective methods regardless of whether they are trend dominated or cycle dominated. However, it can be seen that the BK and wavelet filters present better performance than the HP filter. (3) In other cases, better filtering performances can be observed in the wavelet. Finally, the three methods are applied to estimate China's business cycles. In conclusion, this paper argues that the wavelet can effectively replace HP and BK filters to extract cyclical components.     

Intra-industry trade and business cycles in ASEAN

The innovation adoption literature has focused primarily on a producer's decision of whether and how much to adopt. An equally pertinent question is when to adopt, because in the case of new technologies it often ‘pays to wait’ for more information. We propose a double-limit hurdle model to analyse adoption intensity and inertia in the context of a divisible technology. The proposed framework incorporates probit or Tobit models as testable special cases. A maximum likelihood estimation framework is set out and generalized to account for heteroscedastic errors. The empirical analysis, which uses household-level data from India's semi-arid tropics, provides new insights into the factors influencing adoption inertia and intensity.     

Differentiating between business cycles and growth cycles: evidence from 15 developed countries

Growth cycles are often mistaken for business cycles, although these two have different statistical properties. In order to differentiate between them in a statistically satisfactory manner, the Bayesian information criterion-(BIC) based model-selection approach is presented. Business cycles are described by the cyclical trend model, and growth cycles are described by the trend-plus-cycle model. Whether the observed time series is derived from business cycles or from growth cycles is determined as a result of model selection. It is shown via data-based simulations that the proposed method works well in most situations. Empirical results obtained for 15 countries suggest that the business cycle model is selected for five countries, the growth cycle model is selected for two countries and the trend-plus-noise model is selected for eight countries.     

Stylized facts on nominal term structure and business cycles: an empirical VAR study

This paper examines the importance of various macroeconomic shocks in explaining the movement of the term structure of nominal bond yields in the post-war USA, as well as the channels through which such macro-shocks influence the yield curve, using a structural Vector Autoregressive (VAR) model. The results show that the monetary-policy and the aggregate-supply shocks are important determinants of the nominal term structure. Moreover, the monetary-policy innovations have a large but transitory effect on the nominal bond yields, primarily by changing the slope of the yield curve, and the aggregate-supply shocks from private sector have a more persistent effect on the level of the yield curve, but have little effect on the slope of the yield curve.     

Income and religion: a heterogeneous panel data analysis

A recent empirical literature has addressed the relationship between income and religion, but most of the studies are based on microdata. Macroeconomic analysis of the issue has largely ignored the potential heterogeneity between countries. Using retrospective data on church attendance rates for a panel of countries between 1925 and 1990, we apply heterogeneous panel data estimators and reveal that the effect of participation in religious activities on income per capita is mostly non-significant. This is consistent with some of the recent research that casts doubt onto the influence of religion on income, once causality is taken into account.     

Entry, exit and business cycles in a general equilibrium model

This paper studies the role of entry and exit in the short run behavior of a general equilibrium model with industry dynamics. For tractability, and to preserve potential asymmetries in the impulse responses, I focus on the transition dynamics of the economy after shocks. Entry and exit are found to be insensitive to productivity shocks of reasonable magnitude. Moreover, the dynamics of GDP are insensitive to fluctuations in entry and exit rates, and any asymmetries are negligible. As an application of the model, the paper also asks whether firing costs may interact with entry and exit to affect transition dynamics after shocks, finding that they do not.     

On the integration of growth and business cycles

This paper discusses several approaches to generating the observed persistence in macro models and presents evidence in favor of models where endogenous technology adoption propagates transitory shocks into the medium term. Prepared for the Conference on “The Interrelation of Cycles and Growth” in honor of Gunther Tichy.

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Multi-dimensional risk and the cost of business cycles

This paper analyzes the welfare costs of business cycles when workers face uninsurable idiosyncratic labor income risk. In accordance with the previous literature, this paper decomposes labor income risk into an aggregate and an idiosyncratic component, but in contrast to the previous literature, this paper allows for multiple sources of idiosyncratic labor income risk. Using the multi-dimensional approach to idiosyncratic risk, this paper provides a general characterization of the welfare cost of business cycles when preferences and the (marginal) process of individual labor income in the economy with business cycles are given. The general analysis shows that the introduction of multiple sources of idiosyncratic risk never decreases the cost of business cycles, and strictly increases it if there are cyclical fluctuations across the different sources of risk. This paper also provides a quantitative analysis based on a version of the model that is calibrated to match US labor market data. The quantitative analysis suggests that realistic variations across two particular dimensions of idiosyncratic labor income risk increase the welfare cost of business cycles by a substantial amount.     

Remeasuring and decomposing stochastic trends in business cycles

This paper is motivated by the fact that the standard deviation of cyclical TFP derived from the standard approach under the stochastic trend is not even close to the real-world data. The main part of the paper devotes to developing a new method to apply geometric Brownian motion to characterize TFP in continuous time and converting it to an estimated process of random walk with drift. As a result, the drift estimate together with the lagged TFP in the random walk process are the stochastic trend of TFP and the stochastic error term in the random walk with drift process is the cyclical component of TFP. I then have two findings: the first one is that the standard deviation of cyclical TFP derived from the new approach is much closer to the real-world data; the second one is that stochastic trend of TFP can be decomposed into three parts: an initial value, a deterministic trend, and a term involved with Weiner process. Moreover, this paper argues that, by recalculating the business cycle statistics based on a rational expectations model, if we remeasure the stochastic trend and cyclical component of TFP using the new approach, then the ability of real business cycle model to mimic real-world economic fluctuations will be significantly improved.     

Consumption,wealth and business cycles in Germany

This paper studies the long-run relationship between consumption, asset wealth and income—the consumption–wealth ratio—based on German data from 1980 to 2003. We find that departures from this long-run relationship mainly predict adjustments in income. The German consumption–wealth ratio also contains considerable forecasting power for a range of business cycle indicators, including the unemployment rate. This finding is in contrast to earlier studies for some of the Anglo-Saxon economies that have shown that the consumption–wealth ratio reverts to its long-run mean mainly through subsequent adjustments in asset prices. While the German consumption wealth ratio contains little information about future changes in German asset prices, we report that the U.S. consumption–wealth ratio has considerable forecasting power for the German stock market. One explanation of these findings is that in Germany—due to structural differences in the financial and pension systems—the share of publicly traded equity in aggregate household wealth is much smaller than in the Anglo-Saxon countries. We discuss the implications of our results for the measurement of a potential wealth effect on consumption. The views expressed in this paper are those of the authors and do not reflect the position of the Deutsche Bundesbank. We gratefully acknowledge comments and suggestions from an anonymous referee as well as from Heinz Herrmann, Helmut Lütkepohl, the editor, Baldev Raj, Burkhard Raunig, Monika Schnitzer, Harald Uhlig and Christian Upper. We also benefitted from comments by seminar participants at the ECB, the Deutsche Bundesbank, the CESifo Macro, Money and International Finance Area Conference 2005, the EEA 2005 annual congress and at the 2005 IAEA Meetings. Last but not least, we would like to thank Mark Weth for very useful information concerning the construction of the financial wealth data. Hoffmann’s work on this paper is also part of the project The International Allocation of Risk funded by Deutsche Forschungsgemeinschaft in the framework of SFB 475. Responsibility for any remaining errors and shortcomings is entirely our own.     

Provincial business cycles and fiscal policy in China

We characterize the cyclical properties of fiscal policy in China along two related dimensions. First, we estimate the sign and size of the fiscal policy multiplier. Second, we assess whether fiscal policy is conducted pro‐ or counter‐cyclically. To account for the challenges posed by China's vast geography, we use data at the provincial level. We find that (i) fiscal policy generally has ‘Keynesian’ effects, and (ii) fiscal policy is mostly conducted pro‐cyclically. This means that fiscal policy is more an element of destabilization than a tool for stabilization.