Purpose The purpose of the study is to investigate micro determinants for dynamic wine pricing in Argentina. We test whether attributes and time affect the price rate of change. The rate of change is selected given the inflationary context of the country. The analysis provides valuable information for wine marketing decisions. Design/methodology/approach The modeling approach relies on panel data analysis for exploiting the data cross-section and time dimension. The contribution explores a massive price dataset at a weekly frequency. The dependent variable is the weekly price variation rate for product/wine and covariates are attributes, time and nominal variables. Given that endogeneity issues arose, the estimations rely on a two-stage least squares and instrumental variables with cluster-robust errors. Findings Estimations show that attributes, time and cost variables are statistically significant, with clear seasonal patterns and quality segmentation affecting pricing: wines made out of specific grapes such as Chenin, Merlot and Seedling or composing a broad category such as red wine, exhibit price undershooting (price rate of change below average). On the other hand, wines out of grapes such as Bonarda, Margaux, Mistela, Moscatel, Oporto, Tannat and Sauvignon Blanc show price overshooting (rate of change above average). In summary, wine made from determined grapes and specific wineries show divergent pricing. Research limitations/implications Covariates such as alcohol content, label descriptor information, winery history, substitute competition and vintage, among others, have not been considered given that the research analyzes more than 750 wine products. Another limitation is that the work does not explore many time-series covariates, such as promotions and idiosyncratic shocks. Practical implications The contribution presents new information on wine pricing patterns affected by weeks, months and years, including the effect of the prolonged 2020 Argentine lockdown. It also analyzes estimations on pricing at the level of grape/blend and wineries previously unknown in this market. The information can influence inventory decisions on the side of the sellers and purchase decisions on the side of consumers. Social implications The analysis includes fine but also low-cost wines that form part of the diet of low-income families in the country. The work detects a divergent pattern in pricing divided by the quality/price of the wine. It also presents information on price timing that may help consumers in the best moment to buy. Originality/value The contribution analyzes unprecedented information on weekly wine prices and presents evidence of pricing tactics from a point-of-sale perspective: It identifies different adjustment speeds related to product features and time effects.

In recent decades, the development of Information and Communication Technologies (ICTs) has modified individuals' means of information exchange. The possibility of interacting through digital media would then allow for increasing the participation of all community members, providing more significant communication opportunities for the entire population. The appearance of these new communication channels would allow those disadvantaged sectors to increase their social network, constituting this support a vital tool when reducing their levels of deprivation and making visible to the rest of the community those requirements necessary to improve their living conditions. However, this access to new digital communication channels would occur asymmetrically, and the impact of these tools may be null when enabling new social links or revitalizing existing ones. While some segments of the population would find themselves with significant restrictions to digital connectivity, another sector could prioritize other ways of interacting with the rest of the environment according to the needs the social environment could help solve. In this way, the impact these new digital platforms could have on social capital turns out to be a question to be resolved. In this sense, this work aims to study the relationship between the use of digital platforms and poverty as a mechanism for expanding social networks, specifically within the city of Bahía Blanca, Argentina. For this, information from a face-to-face survey carried out in Bahía Blanca in December 2021, Encuesta de Proyecto de Unidad Ejecutora (EPUE), was used.

The unprecedented global context caused by COVID-19 has generated various changes in society and forced the governments of different countries to adopt containment measures. However, this crisis occurs in a globalized international context, where the mass use of various digital platforms allows the generation of a significant amount of information and the study of interactions between individuals. In this work, in particular, the impact on public opinion about the coronavirus crisis in the city of Bahía Blanca (Argentina) is analyzed from the Twitter digital platform, trying to identify the main actors in the production of messages, find out which users having a greater capacity to control its diffusion and measure the relevance or authority in the interactions analyzed using Social Network Analysis techniques. The main result is the fragmentation of information between individuals, being the resulting interaction scarce. On the other hand, it was found that in the analysis of retweets the main actors are not relevant outside the digital platform, while in the analysis of the responses the main actors are characterized by having a prominent role in the political scene or in communications locally.