Testing for optimal monetary policy via moment inequalities

The specification of an optimizing model of the monetary transmission mechanism requires selecting a policy regime: commonly, commitment or discretion. In this paper we propose a new procedure for testing optimal monetary policy, relying on moment inequalities that nest commitment and discretion as two special cases. The approach is based on the derivation of bounds for inflation that are consistent with optimal policy under either policy regime. We derive testable implications that allow for specification tests and discrimination between the two alternative regimes. The proposed procedure is implemented to examine the conduct of monetary policy in the US economy.     

Managing customer knowledge through the use of big data analytics in tourism research

The use of big data is growing in relevance and importance in tourism management research. Companies operating in this industry are exploiting big data analytics and developing systems to manage customer knowledge and provide the best service in the right place at the right time. This paper aims to provide a systematic literature review to present issues associated with the use of big data in tourism and identify future research directions on the topic. To achieve this aim, this paper develops a citation network analysis methodology to drive the content analysis and explore the content of 109 selected papers. The findings of this review highlight that although there is an increasing number of contributions on the topic, there are yet some issues that require to be further developed. In particular, the paper identifies research gaps and consequent research questions that represent an agenda for both researchers and practitioners.     

A Good Opening: The Key to Make the Most of Unilateral Climate Action

In this paper we argue that when a subgroup of countries cooperate on emission reduction, the optimal response of non-signatory countries reflects the interaction between three potentially opposing factors, the incentive to free-ride on the environmental benefits of cooperation, the incentive to expand energy consumption, and the incentive to adopt the cleaner technologies introduced by the coalition. Using an Integrated Assessment Model with a game-theoretic structure we find that the equilibrium abatement of the coalition composed by OECD countries would be moderate, in line with the Pledges subscribed in Copenhagen, but increasing. The mitigation strategy would consist of investments in energy R&D and deployment of cleaner technologies with high learning potentials. International knowledge and technology externalities would facilitate the diffusion of cleaner technologies in non-signatory countries, offsetting the free-riding incentive and reducing their emissions. If the OECD group curbs emissions beyond the optimal equilibrium level, reaching reduction rates between 40 and 45 % below 2005 levels in 2050, the benefits of technology externalities would no longer compensate the effect of lower fossil fuel prices. Our results suggest that a moderate unilateral climate policy could induce a virtuous behaviour in non-signatory countries and that policies promoting the international transfer of technologies and knowledge could represent an effective complement to mitigation targets.     

Public awareness promoting new or emerging risks: Industrial accidents triggered by natural hazards (NaTech)

Dramatic natural events recently stroke several countries worldwide. The impact of the natural events on industrial sites often resulted in large releases of hazardous materials, causing severe technological accidents (Natural-Technological or NaTech events). Industrial operators were often found unprepared or off-guard for unannounced events but also when they had received early warnings. Due to these occurrences, public awareness has raised and the issue of NaTech is now considered as an emerging risk. Due to the climate change and increase in the frequency of some categories of natural disasters, the likelihood of NaTech scenarios is growing, thus NaTech may be also considered as a new risk in some areas of the world. In the present study, the process that ended in the awareness of the scientific community and of the general public toward NaTech has been analyzed. Available tools and knowledge gaps in the assessment of NaTech scenarios are evidenced. The analysis is mainly addressed to the potential impact of flood, lightning, and earthquake events on industrial installations where hazardous substances are present, aiming at the identification of strategies to improve the resilience of industrial facilities to technological accidents caused or intensified by natural hazards.     

Do inter-sectoral flows of services matter for productivity growth? an input/output analysis of OECD countries

This article investigates the impact of technology-intensive services sectors on direct and indirect labour coefficients in a sample of OECD countries. We find that both domestic and imported services contribute to increase productivity. We also find that different service industries (transport, communication, financial, and business services) have a different impact on technological change in non-service sectors classified according to the Pavitt taxonomy.     

The relationship between R&D,investment and patents: a panel data analysis

This paper estimates the effect of research and investment activities on patents across countries, industries and over time, using Poisson and negative binomial distribution models. The first result of the paper is the recognition of the importance of investment activities in contributing to technical change. The positive role of research expenditures is also confirmed but its elasticity is found to be lower than in previous studies. Important differences across sectors emerge: research expenditures are found to be more effective in generating patents in science based industries, while investment is particularly significant in supplier dominated and production intensive industries. Finally, in most sectors, the estimated R&D and investment coefficients lie outside the confidence intervals calculated around the pooled coefficients.     

Subsidiary’s Network Competence: Finnish Multinational Companies in Russia

We provide clear insights into the key foreign direct investment obstacles for the manufacturing sector in FYR of Macedonia, an EU candidate country. The survey results, based on data for 79 manufacturing companies, revealed that the investors in this particular sector perceive the bureaucratic and administrative constraints, corruption and bribery, and the lack of law enforcement as three major investment obstacles. Furthermore, we found that the perception of the investment obstacles largely differ depending on the industry the companies operate in, the country of origin, and the export orientation. Therefore, we recommend a tailor-made approach in pursuing the national investment promotion policies and strategies.     

The Signal of Applying for a Job Under a Vacancy Referral Scheme

We investigate the signalling effect related to participation in active labor‐market programs. To this end, we conduct an experiment in which human resources professionals make hiring decisions concerning fictitious job candidates who apply either under a job‐vacancy referral system or directly. We provide first causal evidence for a substantial adverse effect of referral on the probability of being hired. In addition, we find that employers perceive referred candidates as being less motivated than other candidates.     

Trade Elasticity,Gravity and Trade Liberalisation: Evidence from the Food Industry

We present an econometric investigation of the trade effect produced by the elimination of tariffs in 18 food sectors for a large sample of developing and developed countries. The standard CES monopolistic competition trade model and the gravity equation were used to estimate trade substitution elasticities, exploring their sensitivity to different estimation methods. Using these elasticities, we simulate the trade effect of the elimination of tariffs, dealing with the problem of uncertainty in the estimated values. Results point to a significant variation in the elasticities estimated by different econometric methods, suggesting that the Poisson pseudo‐maximum‐likelihood estimator significantly inflates their magnitude. Simulation results indicate that trade liberalisation will strongly increase food exports especially from high income and emerging countries, leading to a general loss of market share by developing countries. The simulated trade flows obtained from the econometric approach are quite close to current evidence based on computable general equilibrium models.