Forward-Looking Belief Elicitation Enhances Intergenerational Beneficence

Environmental and Resource Economics - One of the challenges in managing the Earth’s common pool resources, such as a livable climate or the supply of safe drinking water, is to motivate...     

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.     

Should you pay off your mortgage or invest?

The mortgage payoff dilemma affects many retirees that have enough financial assets to pay off their mortgage. I find that, on average, retirees with less than $300,000 in non-housing financial wealth are better off keeping the mortgage and investing.     

R&D, patents and stock return volatility

Recent finance literature highlights the role of technological change in increasing firm specific (idiosyncratic) and aggregate stock return volatility, yet innovation data is not used in these analyses, leaving the direct relationship between innovation and stock return volatility untested. The paper investigates the relationship between volatility and innovation using firm level patent data. The analysis builds on the empirical work by Mazzucato (Rev Econ Dyn 5:318–345, 2002; J Evol Econ 13(5):491–512, 2003) where it is found that stock return volatility is highest during periods in the industry life-cycle when innovation is the most ‘radical’. In this paper we ask whether firms which invest more in innovation (more R&D and more patents) and/or which have more important innovations (patents with more citations) experience more volatility in their returns. Given that returns should in theory be higher, on average, for higher risk stocks, we also look at the effect of innovation on the level of returns. To take into account the competition between firms within industries, firm returns and volatility are measured relative to the industry average. We focus the analysis on firms in the pharmaceutical industry between 1974 and 1999. Results suggest that there is a positive and significant relationship between volatility, R&D intensity and the various patent related measures—especially when the innovation measures are filtered to distinguish the very innovative firms from the less innovate ones.     

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.     

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.     

Value stream mapping implementation in the third sector

An analysis of the development of non-profit organizations highlights critical issues related to the efficiency and strategic capacity of many organizations. To do this, it is necessary to use management models that combine the effectiveness of social solidarity with acceptable levels of efficiency. This study focuses on the application of Value Stream Mapping (VSM) to reorganize the work placement service in one of Italy??s major third sector organizations. A telephone survey, administered to 184 diocesan counseling services, provided an exhaustive overview of the macro-environment and the work placement service features. The process re-engineering is dealt with by an interdisciplinary approach. Implementing the Allison and Kaye model provides an approach specific to non-profit organizations. Furthermore, the use of VSM in the strategic planning enriches the model itself and provides a practical and pragmatic approach typical of re-engineering that focuses on the organization??s objectives. VSM allows the identification of the critical points in the value flow chain, and the suggested actions support the development of the work placement service.     

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.     

Differences in measures of the fiscal multiplier and the reduced-form vector autoregression

The literature has recently asked whether the effects of fiscal policy vary with the state of the economy (Christiano, Eichenbaum, and Rebelo 2011; Rendahl 2014; Auerbach and Gorodnichenko 2012). We study this question in the context of vector autoregression (VAR) estimation. We show formally that, if (asymptotically) the parameters of the reduced-form VAR differ, then the dynamic effects of fiscal policy differ as well, generically and for any set of identification assumptions. Thus, in theory, the econometrician can detect these differences (either across time or space) generically just by relying on reduced-form VAR estimation.