How do financial cycles affect public debt cycles?

We employ the duration framework to study determinants of public debt cycles in 57 advanced and emerging economies over the 1960–2014 period, with a particular focus on the impact of financial cycles. The results suggest that the association between financial and debt cycles is asymmetric. Debt expansions preceded by overheating in credit and financial markets tend to last longer than other expansions, but there is no significant association between financial cycles and debt contractions. There is strong evidence of duration dependence in both phases of the cycle, with the likelihood of expansions and contractions to end increasing with the length of their respective spells. Higher initial level of debt increases the spell of contractions (persistence of adjustment effort hypothesis) and reduces the spell of expansions (debt sustainability hypothesis). The results are robust to the inclusion of global factors, openness, political stability, and debt crisis indicators as additional controls.     

Strategic decisions on bilateral bidding behavior: evidence from a wholesale electricity market

This article analyzes the strategic bilateral bidding behavior in the Spanish electricity wholesale market (OMEL). The collection of data includes information regarding weekly averages of spot prices, the quantity bid in the wholesale market, the quantities purchased in the wholesale market and sold in the open market, and the behavior of conduct parameters for the period from January 2002 to April 2007 for the four largest firms of the Spanish electricity market: Endesa, Iberdrola, Unión Fenosa and Hidrocantábrico. This article employs the New Empirical Industrial Organization approach. The empirical analysis was based on the autoregressive distributed lag approach to cointegration and on the Toda–Yamamoto Granger causality tests to validate the standard version of the theoretical formulation of the standard Cournot model, and its theoretical extension, to encompass the hypothesis of the presence of bid interdependence for electricity quantities sold and bought in the Spanish electricity wholesale market. The results of cointegration and causality analysis reinforce the empirical results of the extended Cournot model with the inclusion of the two main bidding variables that solved the optimization problem of profit maximization for each of the four firms analyzed.     

Spatial econometric Monte Carlo studies: raising the bar

We discuss Monte Carlo methodology that can be used to explore alternative approaches to estimating spatial regression models. Our focus is on models that include spatial lags of the dependent variable, e.g., the SAR specification. A major point is that practitioners rely on scalar summary measures of direct and indirect effects estimates to interpret the impact of changes in explanatory variables on the dependent variable of interest. We argue that these should be the focus of Monte Carlo experiments. Since effects estimates reflect a nonlinear function of both \(\beta \) and \(\rho \), past studies’ focus exclusively on \(\beta \) and \(\rho \) parameter estimates may not provide useful information regarding statistical properties of effects estimates produced by alternative estimators. Since effects estimates have recently become the focus of inference regarding the significance of (scalar summary) direct and indirect impacts arising from changes in the explanatory variables, empirical measures of dispersion produced by simulating draws from the (estimated) variance–covariance matrix of the parameters \(\beta \) and \(\rho \) should be part of the Monte Carlo study. An implication is that differences in the quality of estimated variance–covariance matrices arising from alternative estimators also plays a role in determining the accuracy of inference. An applied illustration is used to demonstrate how these issues can impact conclusions regarding the performance of alternative estimators.     

Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China

This paper proposes a generalized spatial panel-data probit model with spatial autocorrelation of the dependent variable, the time-invariant individual shocks, and the remainder disturbances. It proposes its estimation with a Bayesian Markov chain Monte Carlo procedure. Simulation results show that the proposed estimation method performs well in small- to medium-sized samples. This method is then applied to the analysis of export-market participation of 1451 Chinese firms between 2002 and 2006 in the prefecture-level city of Wenzhou in the province of Zhejiang. Empirical results show that two of the three forms of the hypothesized spatial autocorrelation are significant, namely the spatial lag for the dependent variable and the time-invariant firm-specific shocks, but not the time-variant shocks. Ignoring any of these significant spatial effects would lead to misspecification.     

Bootstrap LM tests for higher-order spatial effects in spatial linear regression models

This paper first extends the methodology of Yang (J Econom 185:33–59, 2015) to allow for non-normality and/or unknown heteroskedasticity in obtaining asymptotically refined critical values for the LM-type tests through bootstrap. Bootstrap refinements in critical values require the LM test statistics to be asymptotically pivotal under the null hypothesis, and for this we provide a set of general methods for constructing LM and robust LM tests. We then give detailed treatments for two general higher-order spatial linear regression models: namely the \(\mathtt{SARAR}(p,q)\) model and the \(\mathtt{MESS}(p,q)\) model, by providing a complete set of non-normality robust LM and bootstrap LM tests for higher-order spatial effects, and a complete set of LM and bootstrap LM tests robust against both unknown heteroskedasticity and non-normality. Monte Carlo experiments are run, and results show an excellent performance of the bootstrap LM-type tests.     

Potential ECB reaction functions with time-varying parameters: an assessment

This paper analyses the behaviour of the European Central Bank over the period 1999–2014 through the estimation of monetary policy reaction functions with time-varying coefficients and heteroskedastic error terms. This allows to evaluate whether relevant shifts in the conduct of monetary policy occurred and whether the current financial crisis had an influence on that. The paper considers two different specifications, one with contemporaneous regressors and one with regressors from surveys. The Taylor rule is then enriched with a set of macroeconomic and financial variables with the aim of testing their significance. Results show that forward-looking variables have a better explanatory power over interest rate policy. All the coefficients are found to be stable along the sample so that no shift in the reaction function can be identified and the financial crisis is found to only lead to a change in the size of the shock. Finally, we also provide evidence about the fact that the ECB has been actually constrained by the zero lower bound during the recent crisis.     

All grown up? The fate after 15 years of a quarter of a million UK firms born in 1998

The theory of firm growth is in a rather unsatisfactory state. However, the analysis of large firm-level datasets which have become available in recent years allows us to begin building an evidence base which can, in turn, be used to underpin the development of more satisfactory theory. Here we study the 239 thousand UK private sector firms born in 1998 over their first 15 years of life. A first, and quite striking, finding is the extraordinary force of mortality. By age 15, 90% of the UK firms born in 1998 are dead, and, for those surviving to age 15, the hazard of death is still about 10% a year. The chance of death is related to the size and growth of firms in an interesting way. Whilst the hazard rate after 15 years is largely independent of size at birth, it is strongly affected by the current (age 14) size. In particular, firms with more than five employees are half as likely to die in the next year as firms with less than five employees. A second important finding is that most firms, even those which survive to age 15, do not grow very much. By age 15 more than half the 26,000 survivors still have less than five jobs. In other words, the growth paths – what we call the ‘growth trajectories’ – of most of the 26,000 survivors are pretty flat. However, of the firms that do grow, firms born smaller grow faster than those born larger. Another striking finding is that growth is heavily concentrated in the first five years. Whilst growth does continue, even up to age 15, each year after age five it involves only a relatively small proportion of firms. Finally, there are two groups of survivors which contribute importantly to job creation. Some are those born relatively large (with more than 20 jobs) although their growth rate is quite modest. More striking though, is a very small group of firms born very small with less than five jobs (about 5% of all survivors) which contribute a substantial proportion (more than one third) of the jobs added to the cohort total by age 15.     

Minimum investment requirement,financial market imperfection and self-fulfilling belief

We develop a model in which a strategic complementarity in saving decisions arises due to a minimum investment requirement and financial market imperfection. We explore the role of self-fulling beliefs in determining the long run dynamics. The model exhibits a wide range of dynamic phenomena such as a poverty trap, a big push and a sunspot equilibrium, depending on the level of financial market imperfection. They account for excessive volatility and a sudden change in the saving rate and its macroeconomic consequences without any shocks to fundamentals.     

Testing evolutionary theory of household consumption behavior in the case of novelty - a product characteristics approach

This article tests and extends the evolutionary theory of household consumption behavior, which is an alternative to neoclassical theory. Evolutionary economists offer novel approaches to the analysis of consumption behavior that emphasize the major role of learning in the evolution of consumer preferences and wants. As a possible inspiration for further progress in evolutionary thought, this paper examines the idea of consumer learning by studying the nature of what consumers should learn in the context of ‘novelty’. Our empirical results regarding novelty during the learning process show that consumers learn the ‘new characteristics’ of consumer goods, contrary to the Lancasterian approach, which suggests that the characteristics space of goods is fixed. We show that during the process of consumption, ‘consumer learning’ extends the characteristics space of consumer goods; this phenomenon is far from negligible and differs across product types. Moreover, our results show that the emergence of new characteristics cannot be modeled as a Poisson process because these new characteristics exhibit clear interdependence over time.     

Attachment orientations and entrepreneurship

This research presents a theoretical model and examines it empirically to associate attachment orientations with various types of entrepreneurs. The results show clear evidence that attachment orientations not only predict an adult’s tendency to become an entrepreneur but also the type of entrepreneur he will become. Specifically, the results show that attachment anxiety is the dimension that is the most responsible for the variability of becoming an entrepreneur, while anxiety and avoidant dimensions predict his characteristics and attitudes as an entrepreneur. This paper makes five important contributions to the research of both attachment theory and entrepreneurship. First, it adds to the theoretical understanding of the psychology of entrepreneurs. Second, the attachment theory enables us to extend our understanding beyond the predictions of personality traits regarding entrepreneurial intentions in order to further predict the type of entrepreneur he will turn out to be. Third, it stresses the role of early childhood events regarding the prediction of future entrepreneurial orientation. Fourth, it uses a unique data set of real young entrepreneurs in a single industry homogenous design in Israel, which is known worldwide as a startup nation. Fifth, it focuses on the opportunity validation stage (rather than the opportunity identification of the resource allocation stages), which is often neglected in entrepreneur personality research.