The integration of human resource and operation management practices and its link with performance: A longitudinal latent class study

This paper reviews the literature on the association between lean production and performance. From this, propositions on the integration and evolution of operation and human resource management practices associated with the lean production concept are developed. Using 24 years of data on the use of seven core OM and HRM practices in British manufacturing firms, the potential link between integration in the use of practices and productivity is tested. In each year, three latent clusters are identified via ordered restricted latent class models; the cluster that consistently makes a more integrated use of practices outperforms the others. Furthermore, the longitudinal nature of the data permits modeling the growth curves of each practice in the sample, recognizing any similarity in growth and investigating whether or not an early integration in adoption of practices is associated with higher final productivity. The results show that pioneers are more productive, thus suggesting that the head start in integrating core OM and HRM practices associated with the lean production concept has paid off.     

Kings and Vikings: on the dynamics of competitive agglomeration

This paper proposes a theory of competitive agglomeration—a new enquiry into the origins of hierarchical structures and governments. As a motivating example we analyze the Viking age—the roughly 300 year period beginning in 800 AD—from the perspective of the economics of conflict. The Viking age is interesting because throughout the time period, the scale of conflict increased—small scale raiding behaviour eventually evolved into large scale clashes between armies. With this observation in mind, we present a theoretical model describing the incentives both the defending population and the invading population had to agglomerate into larger groups to better defend against attacks, and engage in attacks, respectively. We tentatively postulate that competitive agglomeration during the Viking era was a key impetus to state formation in Europe.     

Regularized conditional estimators of unit inefficiency in stochastic frontier analysis,with application to electricity distribution market

In stochastic frontier analysis, the conventional estimation of unit inefficiency is based on the mean/mode of the inefficiency, conditioned on the composite error. It is known that the conditional mean of inefficiency shrinks towards the mean rather than towards the unit inefficiency. In this paper, we analytically prove that the conditional mode cannot accurately estimate unit inefficiency, either. We propose regularized estimators of unit inefficiency that restrict the unit inefficiency estimators to satisfy some a priori assumptions, and derive the closed form regularized conditional mode estimators for the three most commonly used inefficiency densities. Extensive simulations show that, under common empirical situations, e.g., regarding sample size and signal-to-noise ratio, the regularized estimators outperform the conventional (unregularized) estimators when the inefficiency is greater than its mean/mode. Based on real data from the electricity distribution sector in Sweden, we demonstrate that the conventional conditional estimators and our regularized conditional estimators provide substantially different results for highly inefficient companies.

     

Lifting the hood of supply and demand for trademarks of start-ups: Partial observability estimates

This paper estimates simultaneously the supply and the demand determinants of the trademark adoption decision made by start-ups. We use a partial observability econometric model, as non-adoption is unobserved. Estimation is by maximum likelihood using the partial observability bivariate probit (POBP) model for an unbalanced longitudinal panel of surviving US start-ups (2004–2011). Our model is shown to provide a good explanation of supply and demand determinants of trademark adoption. For example, size, incorporation and expenditure on R&D are important on the supply side; and copyrights, licensing out and being in a high knowledge information sector are important on the demand side.     

The triple-edged sword of sensitivity of sales,cash flows,and debt to investments: Venture survival and capital investments

Drawing on reliable financial performance data of 192,855 venture-year observations, representing a total of 66,174 ventures with 8.13% of the ventures failing (5380 ventures), we find that neither sales-investment sensitivity nor cash-flow-investment sensitivity is associated with venture survival. However, debt-investment sensitivity lowers the hazard of failure. Sales-investment sensitivity and debt-investment sensitivity under munificence and dynamism lower the hazard of failure. However, cash-flow-investment sensitivity at high levels of dynamism or munificence does not influence the hazard of failure. The effect sizes are small but nonetheless meaningful. The findings have implications for ventures attempting to match performance and capital structure with investment.     

Evaluación de las prácticas de trabajo decente en las empresas. Análisis de las metodologías de calificación ambiental,social y de gobernanza

Las agencias de calificación ambiental, social y de gobernanza (ASG) han adquirido una función preeminente en el ámbito de la inversión responsable como proveedoras de datos no financieros. La bibliografía anterior sobre la construcción de métricas ASG no esclarece los procedimientos de las agencias para evaluar el trabajo decente. A partir del análisis de seis agencias de calificación, los autores investigan cómo se miden y evalúan los resultados empresariales en la dimensión de trabajo decente, señalando las dificultades conexas. El objetivo es determinar en qué medida la inversión responsable y las calificaciones ASG contribuyen a promover y a mejorar el trabajo decente en las empresas.     

Diagnosing housing fever with an econometric thermometer

Housing fever is a popular term to describe an overheated housing market or housing price bubble. Like other financial asset bubbles, housing fever can inflict harm on the real economy, as indeed the U.S. housing bubble did in the period following 2006 leading up to the general financial crisis and great recession. One contribution that econometricians can make to minimize the harm created by a housing bubble is to provide a quantitative “thermometer” for diagnosing ongoing housing fever. Early diagnosis can enable prompt and effective policy action that reduces long-term damage to the real economy. This paper provides a selective review of the relevant literature on econometric methods for identifying housing bubbles together with some new methods of research and an empirical application. We first present a technical definition of a housing bubble that facilitates empirical work and discuss significant difficulties encountered in practical work and the solutions that have been proposed in the past literature. A major challenge in all econometric identification procedures is to assess prices in relation to fundamentals, which requires measurement of fundamentals. One solution to address this challenge is to estimate the fundamental component from an underlying structural relationship involving measurable variables. A second aim of the paper is to improve the estimation accuracy of fundamentals by means of an easy-to-implement reduced-form approach. Since many of the relevant variables that determine fundamentals are nonstationary and interdependent we use the endogenous instrumental variable based method (IVX) to estimate the reduced-form model to reduce the finite sample bias which arises from highly persistent regressors and endogeneity. The recursive evolving test proposed by Phillips, Shi, and Yu (PSY) is applied to the estimated nonfundamental component for the identification of speculative bubbles. The new bubble test developed here is referred to as PSY-IVX. An empirical application to the eight Australian capital city housing markets over the period 1999–2017 shows that bubble testing results are sensitive to different ways of controlling for fundamentals and highlights the importance of accurate estimation of these housing market fundamentals.     

Filtration enlargement-based time series forecast in view of insider trading

This survey reviews filtration enlargement models in view of insider trading. Although filtration enlargement aptly models insiders' informational advantage, the theoretical results have not attracted the attention of the empiricists, owing mainly to the lack of a bridge transforming the results to testable hypotheses, and/or the absence of econometrics method linking the hypotheses and the data. This survey provides a feasible avenue to estimate insider information and to detect trading from a relatively sophisticated theoretical model, where the dynamics of publicly available data (e.g., stock price) implies insider information before the information is completely digested. We complete the survey with an empirical illustration based on simulated data.     

THE PARADOX: Economic Growth that Endangers the Future of Research in Colombia

In this paper I analyse how the gradual reduction of research funds in Colombia can interrupt a key process in the generation of solutions to global urban problems. I draw on a bibliometric analysis to show that research funding flowing from North to South has created collaborations between researchers from North and South that have led to a better and more comprehensive understanding of the challenges facing cities around the world. To conclude, I propose four options to counteract these trends towards lower research funding.