Is British output growth related to its uncertainty? Evidence using eight centuries of data

We examine the empirical relationship between output variability and output growth for Britain using data for eight centuries covering the 1270 to 2014 period. Drawing on the economic history literature, we split the full sample period into four subperiods and use GARCH models to measure output growth uncertainty and estimate its effect on average growth. Within each sub-sample, we allow output growth to depend on the state of the system, for example 2-regime switching model would switch between high-growth and low-growth regimes. We find that the effect of uncertainty on growth differs depending on the existing growth regime. Low-growth regimes are associated with a negative effect of uncertainty on growth, and medium or high-growth regimes are associated with a positive effect. These findings are consistent across the four states of economic development. Our results indicate why the empirical literature to date has found mixed results when examining the effect of uncertainty on growth.     

Does the expectation or realization of a federal election precipitate Canadian output growth?

Abstract This paper asks whether Canadian data is consistent with the predicted effects of political opportunism, partisanship, and political competition on real output growth since Confederation. Using annual data from 1870 to 2005 we find new support for an opportunistic electoral cycle in Canadian data but only if the actual election date used in most studies is replaced by an estimate of the incumbent governing party's subjectively held likelihood of an election arising. In our case the estimate is generated from a Cox‐proportional hazard model. The paper explores in detail the issues raised by using a generated regressor to approximate a subjectively held expectation versus an observable proxy and argues that these conditions are met in our case. Finally we also find evidence consistent with partisan cycles in the data but much less evidence consistent with the hypothesis that changes in the degree of political competition have affected real output growth.     

UK Output Variability and Growth: Some Further Evidence

This paper re-examines the empirical evidence concerning the relationship between UK output variability and growth using GARCH-M models applied to post-war monthly industrial production data, estimated under quasi-maximum-likelihood with the consistent variance–covariance estimator of Bollerslev and Wooldridge (1992). In contrast to previous results suggesting a significant positive relationship between UK output variability and growth, we find no significant relationship. Rather than suggesting a connection between risk and return in the attitudes of investors, our findings may be interpreted as more supportive of macroeconomic models which dichotomize the determination of output growth and variability.     

Long-term growth and persistence with obsolescence

Previous research has shown a strong positive correlation between short-term persistence and long-term output growth as well as between depreciation rates and long-term output growth. This evidence, therefore, contradicts the standard predictions from traditional neoclassical or AK-type growth models with exogenous depreciation. In this paper, we first confirm these findings for a larger sample of 101 countries. We then study the dynamics of growth and persistence in a model that renders a positive link between embodied technological progress, depreciation and output growth. We find that the model's predictions appear consistent with the empirical evidence on persistence, long-term growth and depreciation rates. In addition, we provide evidence of a unit root in output with a large battery of second-generation panel unit root tests. This supports the general validity of the endogenous growth model proposed.     

The effect of output growth volatility on output growth: empirical evidence from Turkey

This article assesses the effect of output growth volatility on output growth within a stochastic-volatility-in-mean model with a time-varying framework for an open small economy: Turkey. Until now, the empirical evidence on industrial production mainly reveals that this relationship is negative. However, in further examining different sectors and sub-sectors of industrial production, we find the sign of the relationship changes depending on the sector. Moreover, there is limited evidence that the sign of the relationship changes over time. Thus, the evidence reveals that the nature of the output growth volatility–output growth relationship is not uniform across sectors.     

Have output growth rates stabilised? evidence from the g‐7 economies

In this paper we consider an extension of Hamilton's Markov chain model of output growth that allows for a one‐time structural break in the hyperparameters. We fit this model to post‐war quarterly output growth data from the G‐7 economies and find evidence for such a structural break in each of them, although the break occurs at different times. The break is always associated with a decline in volatility and often with a narrowing of the mean growth differential between the expansionary and recessionary regimes. The results show that stabilisation has typically been achieved at the expense of a reduction in growth rates.     

An econometric model of potential output, productivity growth, and resource utilization

This paper specifies a macroeconometric model providing a simultaneous framework for estimating the natural rate of unemployment, the full-employment (FE) labor force and hours of work, the FE productivity growth rate, and the growth path of potential (FE) output during 1960–2000. The estimated output and unemployment gaps are consistent with Okun’s Law. Historical perspective is provided on the expansion of the nineties by comparing it with those of the three previous decades in terms of growth and utilization of potential output. Factors accounting for the growth of potential output, productivity and labor supply are identified and compared.     

TIME UNDER AUTOCRATIC RULE AND ECONOMIC GROWTH

We investigate how the length of time a country's regime was autocratic between 1920 and 2000 is correlated with economic growth and per capita income. We find that the longer a country was within an autocracy, the lower is the country's economic performance, even after controlling for other factors. We also find the length of time a country is not autocratic is positively related to growth and income. We claim this evidence is consistent with the thesis that one reason why some countries have had difficulty adjusting to life after autocracy is that the human and social capital necessary to make markets “work” eroded under autocratic regimes and take time to develop afterward. (JEL O17, O43, P0)     

Fluctuations in convex models of endogenous growth, I: Growth effects

Is there a trade-off between fluctuations and growth? The empirical evidence is mixed, with some studies finding a positive relationship, while others find a negative one. Our objectives are to understand how fundamental uncertainty affects the long run growth rate and to identify important factors determining this relationship in a convex endogenous growth model. Qualitatively, we show that the relationship between volatility in fundamentals (or policies) and mean growth can be either positive or negative. The curvature of the utility function is a key parameter that determines the sign of the relationship. Quantitatively, an increase in uncertainty always increases the growth rate in our calibrated models. Though the changes we find are nontrivial, they are not large enough by themselves to account for the large differences in growth rates observed in the data. We also find that differences in the curvature of preferences have very substantial effects on the estimated variability of stationary objects like the consumption–output ratio and hours worked. For this reason, we expect that the models considered in this paper will provide the basis of sharp estimates of the curvature parameter.     

The Australian Business Cycle: Joe Palooka or Dead Cat Bounce?

We address the question of whether asymmetry in the business cycle and asymmetry in the persistence of negative versus positive shocks characterises Australian output growth. Using nonlinear time series models we provide some evidence consistent with the idea that Australian output growth is characterised by three distinct phases: contractions, high-growth recovery periods and 'normal' or moderate growth periods. This implies that Australian output fluctuations have a significant transitory component and is supportive of the 'output-gaps' view and 'plucking' model view of economic fluctuations. In contrast to recent evidence for the US and Canada however, we find that Australian GDP growth does not exhibit important asymmetries in the responses of output growth to positive and negative shocks.     

A sneeze in the U.S., a cough in Japan,but pneumonia in Taiwan? An application of the Markov-Switching vector autoregressive model

This paper examines the lead–lag relationships among the output of Taiwan, Japan and the U.S. Three testing methods are employed: the traditional linear Granger causality test, Hiemstra and Jones' [Hiemstra, C., Jones, J.D., 1994. Testing for linear and nonlinear Granger causality in the stock price-volume relation. Journal of Finance 49, 1639–1664] nonlinear Granger causality test and Warne's [Warne, A., 2000. Causality and regime inference in a Markov-S switching VAR, Working Paper no. 118, Sveriges Riksbank, Stockholm.] Granger causality test under the Markov-Switching model. We find that the causal ordering is unclear and depends on the model we used. Because Markov-Switching model imposes few restrictions in estimation, we tend to use its estimated results but bear in mind that the evidence is sensitive. First, the common shock hypothesis is found that most probably exists between Taiwan and the U.S. Next, we conclude that Japan tends to lead Taiwan's output, to a certain extent. Last, there is no causal ordering between the U.S. and Japan economies.     

SOCIAL STATUS AND THE GROWTH EFFECT OF MONEY*

It has been shown that in a standard one‐sector AK model of endogenous growth with wealth induced preferences for social status, the economy's growth rates of real output and nominal money supply are positively related when the cash in advance constraint is applied solely to the household's consumption purchases. However, a positive output growth effect of money/inflation is not consistent with the existing empirical evidence. We show that when gross investment must be financed by real money balances as well, this result is overturned, i.e. higher inflation is detrimental to economic growth, because of a dominating portfolio substitution effect.     

VALUING LOST HOME PRODUCTION OF DUAL EARNER COUPLES*

Using a life‐cycle model in which women divide their time between home and market work, we establish a link between retirement wealth and the value of forgone home production. We use data from the Health and Retirement Study to estimate the model's parameters and adjust the growth rate of GDP to reflect reductions in nonmarket output. We find that the value of forgone home production is modest—about 25% of women's measured earnings.     

Inflation and the finance–growth nexus

This paper re-investigates whether there exist inflation thresholds in the finance–growth linkage. By applying the Caner and Hansen's (2004) instrumental-variable threshold regression approach to the dataset of Levine et al. (2000), we find strong evidence of a nonlinear inflation threshold in the relationship, below which financial development exerts a significantly positive effect on economic growth, while, above which, the growth effect of finance appears to be insignificant. Furthermore, we also find a positive and significant relationship between finance and productivity for inflation rates below the threshold level, but no such relationship is detected for inflation rates above the critical level. This result suggests that finance influences growth mainly through the productivity channel.     

Fads or bubbles?

This paper tests between fads and bubbles using a switching regression to distinguish between competing models. Two main features of the bubbles model distinguish it from the fads model. First, the bubbles model implies that returns are drawn from regimes which differ in the way returns vary with deviations from fundamental prices. Second, the bubbles model implies that deviations from fundamental price will help predict regime switches. Using US data for 1926–89, we find evidence which is consistent with the fads model even when we allow for variation in expected dividend growth rates and expected discount rates. However, the restrictions which the fads model implies for a more general switching-regression specification are rejected. The rejections point in the direction of the bubbles model, although not all of the implications of the bubbles model are supported by the data. First Version Received: October 2000/Final Version Received: October 2001     

Are economic growth and the variability of the business cycle related? Evidence from five European countries

We use a long series of annual data that span over 100 years to examine the relationship between output growth and its uncertainty in five European countries. Using the GARCH methodology to proxy uncertainty, we obtain two important results. First, more uncertainty about output leads to a higher rate of growth in three of the five countries. Second, output growth reduces its uncertainty in all countries except one. Our results are robust to alternative specifications and provide strong support to the recent emphasis by macroeconomists on the joint examination of economic growth and the variability of the business cycle.     

Testing Gibrat's legacy: A Bayesian approach to study the growth of firms

Gibrat's law is a referent model of corporate growth dynamics. This paper employs Bayesian panel data methods to test Gibrat's law and its implications. Using a Pharmaceutical Industry Database (1987–1998), we find evidence against Gibrat's law on average, within or across industries. Estimated steady states differ across firms, and firm sizes and growth rates do not converge within the same industry to a common limiting distribution. There is only weak evidence of mean reversion: initial larger firms do not grow relatively slower than smaller firms. Differences in growth rates and in steady state size are persistent and firm-specific, rather than size-specific.     

Modelling Anti-inflationary Monetary Targeting in Romania

This paper characterises Romania's experience with anti-inflationary monetary targeting over the period 1999–2005 prior to the country's switch to inflation targeting. We uncover the National Bank of Romania's preferences, conditional on an estimated macro-model. We find that Romania's monetary targeting regime can be characterised by a concern for price stability and an additional role for smoothing of the central bank's instrument (base money growth). Exchange rate variability and output gap stability appear not to significantly enter the National Bank of Romania's objective function.     

CONSUMPTION–LEISURE TRADE‐OFFS AND PERSISTENCY IN BUSINESS CYCLES

This paper studies whether non‐separabilities between consumption and leisure may help to explain the observed persistence in GNP growth. We consider an extended version of Lucas's (1988) human capital investment model that includes labour adjustment costs and compare its performance under different utility specifications with different degrees of complementarity and substitutability between consumption and leisure. We find that when consumption and leisure are complements the model succeeds in matching not only the autocorrelation of output growth but also the important trend‐reverting component found in US data. These results hold even if low adjustment costs of labour are considered. Hence, we conclude that an arguably simple margin not considered conventionally can provide useful insights into observed business cycle patterns.     

Earnings growth and the bull market of the 1990s: Is there a case for rational exuberance?

This paper examines whether permanent earnings growth, crucial to stock valuation, increased during the 1990s, as suggested by proponents of the new economy. Using S&P 500 earnings for the period of 1951–2000, we do not find strong evidence of either a one-time structural break or gradual change. However, the confidence interval on permanent earnings growth is wide enough to include an increase that is roughly consistent with the bull market of the late 1990s. Thus, we cannot reject a rational basis for that exuberance.