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.     

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.     

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.     

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.     

The effect of data transformation on common cycle,cointegration, and unit root tests: Monte Carlo results and a simple test

Cointegration, common cycle, and related tests statistics are often constructed using logged data, even without clear reason why logs should be used rather than levels. Unfortunately, it is also the case that standard data transformation tests, such as those based on Box–Cox transformations, cannot be shown to be consistent unless assumptions concerning whether variables I(0)$I(0)$ or I(1)$I(1)$ are made. In this paper, we propose a simple randomized procedure for choosing between levels and log-levels specifications in the (possible) presence of deterministic and/or stochastic trends, and discuss the impact of incorrect data transformation on common cycle, cointegration and unit root tests.     

Corporate governance and regulation: Can there be too much of a good thing?

We investigate how company-level corporate governance practices and country-level legal investor protection jointly affect company performance. We find that in any legal regime there are a few specific governance practices that improve performance. Companies with good governance practices operating in stringent legal environments, however, show a valuation discount relative to similar companies operating in flexible legal environments. At the same time, a stronger country-level regime does not reduce the valuation discount of companies with weak governance practices. Our analysis suggests a threshold level of country development above which stringent regulation hurts the performance of well governed companies or has a neutral effect for poorly governed companies.     

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.     

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.