Identification of strategies to improve goat marketing in the lowlands of Ethiopia: a hedonic price analysis

This article aims at identifying factors that determine market prices of goats and analyse potential mechanisms by which smallholder goat producers could maximize their benefits. Data on 357 farm households and 2103 goat transactions were collected in three major goat markets in the lowlands of Ethiopia. Hedonic price models adjusted for heteroscedasticity were employed to analyse the observed price data. Model results showed the relative importance of different factors in determining goat prices. Animal attributes including age, sex, live weight, body condition and presence of horn as well as types of buyer and market outlet targeted and time of selling were found to be important. Particularly, goats marketed during festive periods where demand for meat increases (e.g. Ethiopian New Year) command higher prices. These results imply that interventions such as systematic selection schemes targeting traits demanded by the market, improved linkages to markets, easy access to market information systems and creating conducive environment including incentive mechanisms can enhance smallholder farmers’ and pastoralists’ ability to take advantage of seasonal and spatial price changes and become market responsive with effective marketing strategies. Such changes can be potent in improving the livelihoods of smallholder farmers and pastoralists.     

What to show on the wine labels: a hedonic analysis of price drivers of Sicilian wines

Unlike previous literature, we construct a hedonic model of wine price that incorporates all the main categories of variables simultaneously to enable a better evaluation of their importance on wine price formation. A comprehensive model has the advantage of providing more reliable estimates of the attributes' implicit prices thereby facilitating firms' pricing and improving effectiveness of wine production and marketing decisions. We utilize two different datasets of Sicilian wines collecting data from influential wine guides. Our results suggest that wine price strongly depends on objective features such as vintage, alcoholic content, geographical origin, grape variety, producer size and cellaring potential. In addition, use of containers like tonneaux and barrique positively affects prices, whereas use of concrete containers has a negative influence. No univocal indications emerge with regard to the effect of the type of company, type of viticulture and firm age. As for sensorial characteristics, our analysis provides novel evidence of the importance of olfactory variables such as aroma intensity and the presence of particular smells in the wine. Finally, current guides’ grades and firm reputation play a crucial role in determining wine prices as well.     

Macroeconomic shocks under alternative exchange rate regimes: the Irish experience

The paper investigates the nature of Irish macroeconomic shocks and their correlation with German and UK shocks. A restricted VAR of real output and prices is employed to distinguish aggregate demand and supply shocks for the three countries. To identify the role of Irish exchange rate policy two periods are considered: the preERM period and the ERM period. The results indicate that while the change in exchange rate policy had an effect on the nature of demand and supply shocks, the ERM did not have the effect of increasing the correlation of Irish shocks with Germany or the UK. Evidence of substantial asymmetric shocks with Germany and the UK exist. Thus, Ireland as a member of the EMU faces increased cost of adjustment to asymmetric macroeconomic shocks.     

Modelling with flexibility through the business cycle: using a panel smooth transition model to test for the lipstick effect

ABSTRACT

Consumer spending typically declines during periods of economic distress, but observers have noted that lipstick purchases appear to increase during recessions, which is often referred to as the lipstick effect. However, the existence of such effect has remained empirically unconfirmed. Using weekly retail scanner data on lipstick sales from 2006 to 2016 in the United States, we applied a Panel Smooth Transition Regression (PSTR) demand model to test the relationship between economic distress and lipstick sales. This flexible demand specification allows regression coefficients to vary as a function of an exogenous macroeconomic variables and fluctuate asymmetrically, non-linearly, and time-varyingly across an unlimited number of regimes. Empirical results show the income elasticity of demand for lipstick decreased rapidly from 0.31 to 0.05 during the 2007–2009 recession, then slowly rebounded to 0.31 by the second quarter of 2014, thus first empirically confirming the existence of the lipstick effect.