Trans‐Tasman Transmission of Government Spending Shocks

This paper investigates the international transmission of fiscal shocks between two closely‐linked, open economies. We estimate impulse response functions using a semi‐structural vector auto regressive (VAR) model and quarterly data from Australia and New Zealand for the period 1973:3–2008:4. We compare our empirical results with impulse response functions from a calibrated two‐country international real business cycle model with habit formation and adjustment costs to investment. We show that a positive shock to Australian government consumption leads to an increase in Australian output initially and then to a decline in the medium term, while the New Zealand output is negatively affected both in the short and medium term. This result is in line with the recent literature that reports beggar‐thy‐neighbour effect of positive government spending shocks.     

Variable Selection in Cross‐Section Regressions: Comparisons and Extensions

Cross‐section regressions often examine many candidate regressors. We use multiple testing procedures (MTPs) controlling the false discovery rate (FDR) — the expected ratio of false to all rejections — so as not to erroneously select variables because many tests were performed, yielding a simple model selection procedure. Simulations comparing the MTPs with other common model selection criteria demonstrate that, for conventional tuning parameters of the selection procedures, only MTPs consistently control the FDR, but have slightly lower power. In an empirical application to growth, MTPs and PcGets/Autometrics identify similar growth determinants, which differ somewhat from those obtained by Bayesian Model Averaging.     

Reevaluating the prudence of economic forecasts in the EU: The role of instrument persistence

Christodoulakis and Mamatzakis (2009, Journal of Applied Econometrics 24, pp. 583–606) estimate the EU Commission loss preferences for selected economic forecasts of 12 EU Member States. They employ the generalized method of moments (GMM) estimation procedure proposed by Elliott et al. (2005, Review of Economic Studies 72, pp. 1107–1125) and find the forecasts to be somewhat optimistic on average. However, this note shows the GMM estimator to possess nonstandard limiting distributions when some of the instruments are highly persistent, which is the case with one of the instruments employed by Christodoulakis and Mamatzakis. Standard distributions are recovered in some interesting particular cases which are relevant in practice. A reexamination of the EU Commission loss preferences using methods robust to persistence and a dataset extended to 2017 reveals that, while the conclusions of the original study are, by and large, still justified, the EU Commission loss preferences have become more symmetric over the whole studied period.     

Understanding the interplay of artificial intelligence and strategic management: four decades of research in review

Management Review Quarterly - As artificial intelligence (AI) is enabling the automation of many facets of management and is increasingly used in a wide range of strategic tasks, it is necessary to...     

INFORMATION AND PRICE DISPERSION: THEORY AND EVIDENCE

Limited information is the key element generating price dispersion in models of homogeneous-goods markets. We show that the global relationship between information and price dispersion is an inverse-U shape. We test this mechanism for the retail gasoline market using a new measure of information based on commuter data from Austria. Commuters sample gasoline prices on their commuting route, providing us with spatial variation in the share of informed consumers. Our empirical estimates are in line with the theoretical predictions. We also quantify how information affects average prices paid and the distribution of surplus in the gasoline market.     

The interplay of corporate entrepreneurship,environmental orientation,and performance in clean‐tech firms—A double‐edged sword

Clean‐tech innovations are an important driver in solving global issues such as climate change and for the sustainable development of economies around the world. Whereas a large part of the literature focuses on clean‐tech ventures, less is known on corporate entrepreneurship, that is, entrepreneurial behavior in established firms and its relation to sustainability. This paper extends the sustainable entrepreneurship debate to corporate entrepreneurship, which represents a fruitful avenue to further developing clean technologies. We focus particularly on clean‐tech firms' organizational preparedness for corporate entrepreneurship (OPCE), that is, how well a firm's structures and processes are set for entrepreneurial activities. On the basis of contingency theory, this study investigates how the level of OPCE influences the environmental and financial performance of clean‐tech firms and whether their environmental orientation affects these relationships. Building on data from 103 firms, we find support for a positive effect of OPCE on both environmental and financial performance. Both effects are stronger the higher the external environmental orientation. In contrast, the leverage of internal environmental orientation is not equally positive. Our study reveals that the effect of OPCE on financial performance diminishes for firms that are more strongly driven by an internal than an external environmental orientation.     

What satisfies younger versus older employees,and why? An aging perspective on equity theory to explain interactive effects of employee age,monetary rewards,and task contributions on job satisfaction

In light of increasingly age-diverse workforces, organizations face the challenge of fostering job satisfaction among both younger and older employees. Combining equity theory with an aging perspective, we propose that due to age-related shifts in motives and goals, younger versus older employees’ job satisfaction will depend differently on monetary rewards (outcome side of equity theory), task contributions (input side of equity theory), as well as on imbalances (inequity) in the relationship between monetary rewards and task contributions. In a multisource study with 166 managers, we found that while younger employees were satisfied primarily by monetary rewards, older employees were satisfied primarily by their task contributions. Most importantly, a three-way interaction indicated that younger versus older employees react differently to two types of inequity: Being proportionally over-rewarded (i.e., receiving high monetary rewards for low task contributions) reduced older (but not of younger) employees’ job satisfaction. By contrast, under-reward inequity (i.e., receiving low monetary rewards for high task contributions) decreased younger (but not of older) employees’ job satisfaction. These age-dependent effects of job features on job satisfaction reveal important theoretical as well as practical implications.     

Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.