Should all Choices Count? Using the Cut-Offs Approach to Edit Responses in a Choice Experiment

Should we give equal weight to all responses in a choice experiment? Previous Choice Modelling papers have considered the issue of the internal consistency of choices—such as the extent to which strictly-dominated options are chosen. In this paper, a different focus is employed, namely the extent to which people choose options which violate their stated upper or lower limits for the acceptable levels for individual attributes. Since hypothetical over-statement of WTP has been a focus in stated preference studies, we concentrate on violations of stated upper limits of WTP, and explore the effects of “editing” such choices using a variable censoring rule and alternative approaches to re-classifying choices. The empirical case study is a choice experiment on eco-tourists in Rwanda. Our main conclusion is that the suggested approach offers a useful way of imposing consistency on choices, and that editing choices in this manner has an appreciable impact on estimated willingness to pay. However, issues remain with regard to explaining why people apparently violate their stated maximum willingness to pay.     

Cointegration analysis for cross-sectionally dependent panels: The case of regional production functions

This paper employs recently developed non-stationary panel methodologies that assume cross-section dependence to estimate a production function for Italian regions over the 1970–2003 period. The analysis consists of three steps. First, unit root tests for cross-sectionally dependent panels are applied. Second, the existence of a cointegrating relationship among value added, physical capital and human capital-augmented labour is investigated, fully allowing for cross-section dependence. Then, the appropriate Fully Modified Ordinary Least Square estimators developed by Bai and Kao [Bai, J., Kao, C. 2006. On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence. In: B.H. Baltagi (Ed) Panel Data Econometrics: Theoretical Contributions and Empirical Applications, Elsevier Science: Amsterdam; 2006, pp.3–30.] are used to estimate the long-run relationship. We find that neglecting cross-section dependence can have a strong impact on the estimated long-run input elasticities, generally imparting them an upward bias.     

Public capital,productivity and trade balances: some evidence for the Italian regions

This paper analyses the extent to which intensive investments in public capital may have had an unfavourable impact on the regional trade balances across the 20 Italian regions. Our working hypothesis is that investments in public capital, while stimulating the demand for tradables across the regions, may have a limited positive impact on the supply of tradables in regions characterised by relatively low productivity like the South of Italy (or Mezzogiorno). The empirical results are consistent with our expectations and suggest that programs of investments in public capital should be accompanied by additional policy measures that can remove the structural factors that hamper the total factor productivity growth in specific areas.     

Chaotic Exchange Rate Dynamics Redux

This article generalizes the results shown in De Grauwe, Dewachter, and Embrechts (1993) in a more sophisticated framework. In their model, the speculative dynamics resulting from the interaction between chartists and fundamentalists are incorporated into a Dornbusch-style model to generate a chaotic nominal exchange rate. Here the model of Obstfeld and Rogoff (1995, 1996) replaces the Dornbusch model, and chaotic solutions are still shown to be possible for sensible parameter values.     

Occupational diversification as an adaptation to rainfall variability in rural India

Occupational diversification among household members in rural India is investigated as an adaptation strategy against the risks arising from the variability of local rainfall. Nationally representative household‐level survey data are combined with the coefficient of variation of rainfall constructed based on historical rainfall data at the district level. The analysis finds that high rainfall variability has significant negative effects on the agricultural specialization of within‐household occupational choices. This result is reinforced by the finding that improved access to irrigation, education, credit, roads, and postal services, is associated with a lower occupational diversification within families and a greater specialization of household members in agricultural‐related employment.     

Index Models and Land Allocation Reconsidered

In contrast with previous index model land applications, this article shows that the land allocation problem is a portfolio model with two constraints, namely, investable funds and land. The two-constraint model implies a drastic reinterpretation of what previous studies have quantified as diversifiable and systematic risks in agricultural production. The article also argues that the constant marginal-rate-of-product-substitution (MRPS) technology implicit in financial portfolio models is unlikely to hold in a production context such as the land allocation problem, and that the index model must be modified accordingly. Farm-level data are used to illustrate and test the hypotheses advanced. Empirical results indicate that most of the risk for corn and soybeans is diversifiable, and that corn and soybeans are characterized by decreasing MRPS. The MRPS effect is found to be large from an economic standpoint and implies that crop diversification may be optimal, even for risk-neutral farmers.     

Long-period Positions and Economic Change. A rejoinder

Roncaglia and Nell have criticised the interpretation of Sraffa's normal prices as centres of gravitation for actual prices. Roncaglia mainly focuses on the interpretation of the notion of gravitation in Smith and on the meaning of the ‘given outputs’ in Sraffa. Nell attempts to confine the relevance of Sraffa's theory to specific historical circumstances and to find a role for Sraffa's prices in his version of post-Keynesian price theory. This rejoinder criticises the case made by both Roncaglia and Nell, and defends Sraffa's centre of gravitation view.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study

This article aims to quantify to what extent collaborative strategies are more effective than internal or organization‐level actions to green supply chains. In this regard, the impact of decisions made at different stages of a supply chain in a product's carbon footprint is quantified. Organizational and product carbon footprints are calculated using the Compound Method Based on Financial Accounts (MC3). The results underline that concentrating reduction efforts in some stages of the supply chain is more effective than implementing individual actions by the participants. Collaboration among the participants is needed to decide what practices are implemented, at what stage they are needed and how they are to be implemented. This article adds to the literature on supply chains and sustainability. Previous research suggests that collaborative strategies have great potential for reducing the carbon footprint of products, while indicating the need for empirical research to support this statement. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment