On a simple rule for the optimal inflation rate in second best taxation

The optimal inflation rate is analyzed in the framework of dynamic second best with endogenous factor prices. It is shown that when the marginal excess burden of taxation is relatively small, the optimal inflation rate is approximated by a simple rule. The paper also analyzes the robustness of this rule to the specification of the model (money as an input in utility or production).     

Demographic transition,education and economic growth in Tunisia

This paper provides empirical evidence supporting the interaction between fertility, education and economic growth through the underlying mechanism behind that correlation in accordance with Becker's theory. In consistency with the theory, the key explanatory variables in Tunisia's fertility model are real GDP per capita, infant mortality, contraceptive use ratio, and education. As opposed to most empirical works, the present study takes into consideration three educational levels, i.e., primary, secondary and higher. Also unlike most empirical research, this study attempts to analyse the impact of fertility transition on education and economic growth. To deal with too little or incomplete data, time series data for Tunisia are computed over 45 years. A multivariate cointegration analysis is carried out and shows that a long-term triangular relationship exists. A short dynamic run analysis based on the vector correction error model displays results in coherence with and close to those of the long term. Among our key results, education is found to trigger fertility transition both in the short and long run. In addition, education has relatively fostered economic growth but hardly boosted it through its dynamic interaction with fertility. Furthermore, the variance decomposition and the impulse function show that the fertility transition has produced a feedback effect on both education and economic growth.     

Fish as the “bank in the water” – Evidence from chronic-poor communities in Congo

Small-scale fisheries in developing countries are often perceived as being a low-productivity and backward informal sector. As a result they are rarely considered in poverty reduction programmes and rural development planning. In this paper, we investigate the dual role of fish as a food and cash crop through data collected in river fisheries in Democratic Republic of Congo (DRC). Fishing in this very remote rural region of DRC is operated both by men and women, as part of a household multiple activity livelihood strategy. The data shows that poor households rely heavily on fishing for their supply of protein-rich food, in particular through women’s subsistence catches. Fishing also appears to be the main source of cash-income for the majority of households, including local farmers. Based on these findings and a review of the literature, the paper argues that small-scale fisheries can play a fundamental role in local economies, especially in remote rural areas where they strengthen significantly the livelihoods of people through their role in both food security and cash-income generation.     

Do Inflation‐Linked Bonds Still Diversify?

The diversifying power of inflation-linked (IL) bonds relative to traditional asset classes has changed significantly. In this paper, we study the dynamics of conditional volatilities and correlations for three asset classes, IL bonds, nominal bonds and equities, in the USA and Europe. Using a DCC-MVGARCH for the period 1997–2007, we highlight the change that took place in 2003. Although IL bonds once had definite diversification power, they are now highly correlated with nominal bonds and have reached similar volatility levels. As a result, the two asset classes are practically substitutable. This seems to be due to more stable inflation expectations and to a more liquid IL bond market. Although diversification was a valuable reason for introducing IL bonds in a global portfolio before 2003, this is no longer the case. Dynamic portfolio optimisation using our estimates of conditional correlations and volatilities clearly demonstrates that the optimal weight of IL bonds in a portfolio decreased sharply in 2003 in favour of nominal bonds and equities.     

Dimensions of uncertainty and their moderating effect on new product development project performance

In this study, we measure the dimensions of uncertainty, starting from the definitions constructed for and generally used in innovation projects. We then evaluate their direct and indirect effects on the performance of product and service development projects. Four dimensions of uncertainty are delimited with satisfactory validity and reliability, suggesting a differential moderating effect of the four types of uncertainty (technical and project uncertainty, market uncertainty, fuzziness and complexity) depending on the performance dimension (effectiveness and efficiency) and co‐moderator (project methods and human resource adequacy). Of the four dimensions explored, technical and project, and market uncertainty are true moderators and have the largest interactive effect, fuzziness has a strong direct effect on both performance dimensions whereas complexity weakly directly influences effectiveness. The latter two also influence the relations between performance and the factors related to human resources and project management methods.     

What labelling policy for consumer choice? The case of genetically modified food in Canada and Europe

Abstract. Faced with divergent opinions among consumers on the use of genetically modified (GM) foods, Canada has adopted a voluntary labelling approach for non‐GM foods, whereas the European Union has a mandatory labelling policy for GM foods. Interestingly, both labelling systems have resulted in very little, if any, additional consumer choice. Using an analytical model, we show that the coexistence of GM and non‐GM products at the retail level depends on the labelling policy, consumer perceptions, and the type of product. Although voluntary labelling tends to favour the use of GM products, it is more likely to provide consumer choice.     

Optimal control of linear econometric models with intermittent controls

Dynamic Programming is used to derive the optimal feedback solution to the minimization of a quadratic welfare loss-functional subject to a linear econometric model, when the value of some instrument variables can not be optimized in every model period, but only in single ones. In this way, the relative inertia of fiscal policy-making, as compared to monetary policy-making, can e.g. be taken into account. Analytical expressions are derived for the optimal feedback rules and for the minimum expected losses, and iterative schemes are proposed for their numerical computation. It is suggested that a numerical analysis of the economic gain to be realized by making more frequent adjustment of fiscal policy variables than is actually undertaken could yield valuable information for policy-makers.     

Estimating demand with distance functions: Parameterization in the primal and dual

Our purpose is to investigate the ability of different parametric forms to ‘correctly’ estimate consumer demands based on distance functions using Monte Carlo methods. Our approach combines economic theory, econometrics and quadratic approximation. We begin by deriving parameterizations for transformed quadratic functions which are linear in parameters and characterized by either homogeneity or which satisfy the translation property. Homogeneity is typical of Shephard distance functions and expenditure functions, whereas translation is characteristic of benefit/shortage or directional distance functions. The functional forms which satisfy these conditions and include both first- and second-order terms are the translog and quadratic forms, respectively. We then derive a primal characterization which is homogeneous and parameterized as translog and a dual model which satisfies the translation property and is specified as quadratic. We assess functional form performance by focusing on empirical violations of the regularity conditions. Our analysis corroborates results from earlier Monte Carlo studies on the production side suggesting that the quadratic form more closely approximates the ‘true’ technology or in our context consumer preferences than the translog.