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INTRODUCTION: Previous studies have identified pricing strategies that the tobacco industry employs to try to minimise the impact of tobacco taxation, but these studies are mostly about high-income countries. This research examines industry price responses to a recent cigarette tax increase in Mexico, including in the capsule cigarette segment that has expanded rapidly in Latin America. METHODS: Data of cigarette prices and sales in Mexico between October 2018 and September 2021 licensed from NielsenIQ were used following a quasi-experimental design to analyse price changes after excise tax increases with fixed effect models by product. To explore heterogeneous responses, estimates were disaggregated by cigarette attributes such as presence of capsules and market segment. Differential shifting was also assessed. RESULTS: Increasing the tobacco tax from 2011MX$0.35(≈US$0.02) to 2020 MX$0.4944(≈US$0.0283) in January 2020 was associated with an overall 8% cigarette price increase in real terms. However, some cigarette types, including premium to discount segments, exhibited price increases larger than the tax increase, which reduced the relative price of ultra-low-priced cigarettes. Instead of a single hike, prices were gradually raised throughout the first months of 2020 for all cigarette types. A combination of both pricing strategies was employed for capsule cigarettes. The 2021 smaller tax adjustment for annual inflation was fully passed onto consumer, maintaining real prices constant. CONCLUSIONS: The industry's ability to raise prices more than the tax increase and manage these price increases smoothly suggests that there was room for larger tobacco tax increases in Mexico. Future developments on tobacco taxes could consider a fully specific tax structure or minimum taxes to mitigate the adverse effects of market segmentation and differential shifting.

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The organic food market has been expanding across the globe as well as in Brazil. Therefore, since we considered the collection of information about the organic food market to be relevant, we decided to characterize the organic food market in the metropolitan region of Vitória, Espírito Santo. Accordingly, the aim of this study was to analyze the profile and perceptions of organic producers/traders regarding the production of organic foods, investigate the profile and perceptions of organic food consumers, and identify the factors that influence their consumption. A cross-sectional, descriptive, and exploratory survey was conducted in 2019 with 50 producers/traders and 281 organic food consumers utilizing semistructured questionnaires. A descriptive statistical analysis was performed using percentage values, media, and evaluation of proportion differences. Fisher's exact test was used to analyze differences in proportions. The producers/traders were 76.0 % male, 82.0 % white, 70.0 % married, and 60.0 % attended elementary school. The commercial production of organic foods is mainly motivated by health and financial issues. A lack of labor (52.0 %) and an absence of government/credit support (40.0 %) were the greatest obstacles related to organic food production. The consumers were mostly female (75.1 %), white people (53.4 %), married people (44.5 %), and people with at least one degree (76.5 %). While the consumption of mainly organic fruits and vegetables was motivated by aspects related to health, factors such as poor access to sales points (27.8 %) and price (26.7 %) also limited the increase in consumption. Both consumers and producers/traders related to the consumption and production of organic food with health concerns revealed the important role of these foods in promoting the population's quality of life. However, for this growing market, there is a need for an integration between political authorities, producers, and consumers.

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BACKGROUND: Biosimilar medicines are defined as biological products highly similar to an already licensed biological product (RP). The market entry of biosimilars is expected to reduce the costs of biological treatments. OBJECTIVE: This study aims to evaluate the range of differences between the prices of biosimilars and the corresponding RP for biologicals approved in four countries. METHOD: This is a cross-national comparison of pricing of biosimilars in Argentina, Australia, Brazil, and Italy. The study examined online price databases provided by the national authorities of the investigated countries. Biosimilar price difference was calculated by subtracting the unit price of the biosimilar by the unit price of the RP, and then dividing it by the unit price of the RP. The results were presented as percentage. RESULTS: Brazil had the highest median price reduction (- 36.3%) in biosimilars price, followed by Italy (- 20.0%) and Argentina (- 18.6%). All the biosimilars in Italy were priced below the RP presenting a minimum reduction of 6.3%, while in Australia, most of the prices of biosimilars were equal to the RP. In Argentina, one infliximab-biosimilar displayed price above the RP (40.7%) while the lower priced brand had a reduction of 14.4%. Brazil had four biosimilars with prices above the respective RP, including isophane insulin (1), insulin glargine (1) and somatropin (2). CONCLUSION: The study revealed a marked dispersion in the price's differences between biosimilars and RP across the studied countries. Governments should evaluate whether their policies have been successful in improving affordability of biological therapies.

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Brazil's private health insurance market is the second largest in the world, behind only the United States, making it a valuable source of real-world evidence. This paper documents how physicians' inpatient reimbursement fees vary in the country and explores the relationship between these fees and the market share of health providers and health insurance companies. We implement a fixed-effects panel regression and take advantage of an unprecedented database that contains national administrative records of inpatient procedures paid by health insurance companies in 2016. We find a positive correlation between reimbursement for ICU procedures and provider market share. Conversely, we observe a negative correlation with insurers' market share. Additionally, we document substantial variation in procedure prices, both across and within Brazilian states, and observe that more competitive markets in Brazil tend to have higher population and GDP levels. Overall, our research enhances our understanding of the price setting dynamics of physician reimbursement fees in the context of a developing country. The insights gained from this study can assist policymakers in formulating appropriate regulations to ensure appropriate access to healthcare services.

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Pork price fluctuations are closely related to the national economy and people's livelihoods in China. Based on the monthly pork price fluctuations in China from January 2011 to August 2022, this study uses ARCH family models to assess the characteristics and laws of these fluctuations in China. The pork price fluctuations show obvious clustering, with external shock information from the previous month affecting the pork price in the following period; the pork market price is characterized by risk compensation, with the high risk of pork supply driving the pork price up. In addition, the pork price fluctuations are characterized by asymmetry, with a greater impact of good than of bad news on the pork price. Due to the pork industry' low entry threshold and the existence of sunk costs, positive information on the pork market has a stronger impact on price fluctuations than negative information. To guide pork supply, we recommend improving monitoring and early-warning mechanisms in the pork market to identify the pork price volatility threshold and measure the price volatility. In addition, price index insurance products should be constantly strengthened, with different types of insurance products being offered to meeting the insurance demand of various sectors in the pig meat supply chain.

As flutuações do preço da carne suína estão intimamente relacionadas à economia nacional e à subsistência das pessoas. Com base na flutuação mensal do preço da carne suína na China de a janeiro de 2011 a agosto de 2022, este estudo usa os modelos da família ARCH para avaliar as características e as leis das flutuações do preço da carne suína na China. Nossos estudos mostraram que as flutuações do preço da carne suína apresentam agrupamento óbvio, e as informações de choque externo do mês anterior irão interferir no preço da carne suína no período seguinte. O preço de mercado da carne suína tem as características de "risco de recompensa", e o "alto risco" do preço da carne suína. Observa-se uma tendência de alta, mostrando que as oscilações do preço da carne suína são caracterizadas por assimetria. Devido ao baixo limiar de entrada da indústria de suínos e à existência de "sinking cost", as informações positivas sobre o mercado de suínos têm um impacto mais forte nas flutuações de preços do que as informações negativas. Recomenda-se melhorar o monitoramento do mercado de carne suína e o mecanismo de alerta precoce, esclarecer e identificar o limite de volatilidade do preço da carne suína e melhorar o sistema de seguro financeiro da indústria suína.

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A socio-economic study was conducted in district Mardan of the Khyber Pakhtunkhwa (KP) province of Pakistan to get a comprehensive knowledge of the agroforestry tree species grown on the farmlands, their yield, and carbon stock. For yield and carbon stock estimation, data were collected from 59 sample plots by measuring the diameter, height, volume, and biomass of selected agroforestry tree species through D-tape and Haga altimeter. A total of 59 sample plots were inventoried using 2.5 percent sampling intensity. Each sample plot has an area of 0.5 ha, where each tree with a Diameter at Breast Height (DBH) ≥ 5 cm was inventoried. The calculated amount of volume of each tree species was then converted to biomass by multiplying it by the density of wood and the Biomass Expansion Factor (BEF). Total yield and C stock for the selected agroforestry tree species were 11535.2 metric tons and 2102.2 metric tons, respectively. Populus euroamericana is classified as the main tree with 28% growing stock prior to Morus alba by 21%, while Melia azedarach, Eucalyptus camaldulensis, Dalbergia sissoo, Acacia nilotica, Salix tetrasperma, and Bombax ceiba consist of 15%, 12%, 8%, 6%,7% and 3% growing stock respectively. Among the species found in different sampling plots the yield of Populus euroamericana was found to be 4747.5 metric tons and it was followed by the species Morus alba found at 2027.3 metric tons. Similarly, the volume for Melia azedarach, Eucalyptus camaldulensis, Dalbergia sissoo, Salix spp, Boombox ceiba, and Acacia nilotica was 1532.2 tons,1503 ton,745.7,203.5ton, 555.4ton and 220.5ton, respectively. The carbon stock for Populus euroamericana was calculated as 777.8 ton/ha, while for Eucalyptus camaldulensis, Melia azedarach, Morus alba, Dalbergia sissoo, Acacia nilotica, Salix species, and Bombax ceiba it was calculated as 312.3ton/ha, 272.1ton/ha, 363ton/ha, 245.1ton/ha, 51.4ton/ha, 27.3ton/ha and 53.2ton/ha, respectively. The questionnaire survey conducted for price dynamics showed that the majority of respondents purchase timber from the market for construction. But they use farm trees with low-quality city construction. They dislike using local timber in the conventional building as timber from farm trees is liable to insect attack. Rs. 50,000-100000, (33.33%) of daily sales was concluded from 50% of the trader while (16.7%) of the traders have their sales between Rs.150,000-200,000. Therefore, it is concluded by the authors that both provincial and federal government should promote agroforestry in Pakistan through different incentives because it has the potential to cope with dilemma of deforestation of natural forests and improve the livelihood of local peoples. It is strongly recommended that special projects just like the Ten Billion Tree Afforestation Project (T-BTTP) should be launched for agroforestry plantation and promotion in the country to sustain the ecological harmony and uplift the socio-economic condition of the peoples of Pakistan.

Um estudo socioeconômico foi realizado no distrito de Mardan, da província de Khyber Pakhtunkhwa (KP), Paquistão, para obter maior conhecimento das espécies de árvores agroflorestais cultivadas em terras agrícolas, seu rendimento e estoque de carbono. Para a estimativa de produção e estoque de carbono, foram coletados os dados de 59 parcelas amostrais, medindo-se o diâmetro, a altura, o volume e a biomassa de espécies de árvores agroflorestais selecionadas por meio de fita D e altímetro Haga. Um total de 59 parcelas amostrais foi inventariado usando 2,5% de intensidade de amostragem. Cada parcela amostral possui uma área de 0,5 ha, em que cada árvore com Diâmetro à Altura do Peito (DAP) ≥ 5 cm foi inventariada. A quantidade calculada de volume de cada espécie de árvore foi então convertida em biomassa, multiplicando-a pela densidade da madeira e pelo Fator de Expansão da Biomassa (BEF). A produção total e o estoque de C para as espécies de árvores agroflorestais selecionadas foram 11.535,2 toneladas métricas e 2.102,2 toneladas métricas, respectivamente. Populus euroamericana foi classificada como a principal árvore com 28% de crescimento de estoque, seguida de Morus alba com 21%, enquanto Melia azedarach, Eucalyptus camaldulensis, Dalbergia sissoo, Acacia nilotica, Salix tetrasperma e Bombax ceiba apresentaram 15%, 12%, 8%, 6%, 7% e 3% de crescimento do estoque, respectivamente. Entre as espécies encontradas em diferentes parcelas de amostragem, o rendimento de Populus euroamericana foi de 4.747,5 toneladas, seguida pela espécie Morus alba, com rendimento de 2.027,3 toneladas. Da mesma forma, o volume de Melia azedarach, Eucalyptus camaldulensis, Dalbergia sissoo, Salix spp, Bombax ceiba e Acacia nilotica foi de 1.532,2 toneladas, 1.503 toneladas, 745,7 toneladas, 555,4 toneladas e 220,5 toneladas, respectivamente. O estoque de carbono para Populus euroamericana foi calculado como 777,8 ton/ha, enquanto para Eucalyptus camaldulensis, Melia azedarach, Morus alba, Dalbergia sissoo, Acacia nilotica, Salix species e Bombax ceiba foi calculado como 312,3 ton/ha, 272,1 ton/ha, 363 ton/ha, 245,1 ton/ha, 51,4 ton/ha, 27,3 ton/ha e 53,2 ton/ha, respectivamente. A pesquisa por questionário, realizada para a dinâmica de preços, mostrou que os entrevistados, em sua maioria, compram madeira do mercado para construção, mas usam árvores de fazenda em construções urbanas de baixa qualidade. Eles não gostam de utilizar a madeira local na construção convencional, pois ela é suscetível ao ataque de insetos. Em relação às vendas diárias, 50% dos comerciantes vendem entre Rs. 50.000-100.000, enquanto 16,7% têm suas vendas entre Rs.150.000-200.000. Portanto, conclui-se que tanto o governo provincial quanto o governo federal devem promover, por meio de diferentes incentivos, a agrossilvicultura no Paquistão, por ter o potencial de lidar com o dilema do desmatamento de florestas naturais e melhorar a subsistência das populações locais. É fortemente recomendado que projetos especiais, como o Projeto de Reflorestamento de Dez Bilhões de Árvores (T-BTTP), sejam lançados para plantio agroflorestal e promoção no país para sustentar a harmonia ecológica e elevar a condição socioeconômica dos povos do Paquistão.

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We utilize a coupled economy-agroecology-hydrology modeling framework to capture the cascading impacts of climate change mitigation policy on agriculture and the resulting water quality cobenefits. We analyze a policy that assigns a range of United States government's social cost of carbon estimates ($51, $76, and $152/ton of CO2-equivalents) to fossil fuel-based CO2 emissions. This policy raises energy costs and, importantly for agriculture, boosts the price of nitrogen fertilizer production. At the highest carbon price, US carbon emissions are reduced by about 50%, and nitrogen fertilizer prices rise by about 90%, leading to an approximate 15% reduction in fertilizer applications for corn production across the Mississippi River Basin. Corn and soybean production declines by about 7%, increasing crop prices by 6%, while nitrate leaching declines by about 10%. Simulated nitrate export to the Gulf of Mexico decreases by 8%, ultimately shrinking the average midsummer area of the Gulf of Mexico hypoxic area by 3% and hypoxic volume by 4%. We also consider the additional benefits of restored wetlands to mitigate nitrogen loading to reduce hypoxia in the Gulf of Mexico and find a targeted wetland restoration scenario approximately doubles the effect of a low to moderate social cost of carbon. Wetland restoration alone exhibited spillover effects that increased nitrate leaching in other parts of the basin which were mitigated with the inclusion of the carbon policy. We conclude that a national climate policy aimed at reducing greenhouse gas emissions in the United States would have important water quality cobenefits.

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This paper aims to analyze the link between environmental degradation and institutional quality and the price of oil moderated by economic complexity and the underground economy. We use quantile regressions with annual panel data for 15 countries in the Middle East and North Africa during 1995-2021. The findings indicate that institutional quality, economic complexity, and output positively and heterogeneously impact environmental degradation. However, the square of production has a negative impact, confirming an inverted U relationship between production and environmental degradation. Likewise, we find that the price of oil and the underground economy have a negative and heterogeneous impact on environmental degradation. Based on our results, a potential recommendation for policymakers is that the institutional framework of Middle Eastern and North African countries should be accompanied by a more significant concern for the environment instead of prioritizing extractive growth that is detrimental to the environment's environmental sustainability. Likewise, economic diversification will mitigate environmental degradation and improve formal employment. Our findings are relevant to policymakers and researchers interested in promoting ecological sustainability.

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In recent decades, the use of regression models with random effects has made great progress. Among these models' attractions is the flexibility to analyze correlated data. In various situations, the distribution of the response variable presents asymmetry or bimodality. In these cases, it is possible to use the normal regression with random effect at the intercept. In light of these contexts, i.e. the desire to analyze correlated data in the presence of bimodality or asymmetry, in this paper we propose a regression model with random effect at the intercept based onthe generalized inverse Gaussian distribution model with correlated data. The maximum likelihood is adopted to estimate the parameters and various simulations are performed for correlated data. A type of residuals for the new regression is proposed whose empirical distribution is close to normal. The versatility of the new regression is demonstrated by estimating the average price per hectare of bare land in 10 municipalities in the state of São Paulo (Brazil). In this context, various databases are constantly emerging, requiring flexible modeling. Thus, it is likely to be of interest to data analysts, and can make a good contribution to the statistical literature.

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The objective of this study was to assess behavior patterns in Brazilian farm milk prices. We employed a structural time series techniques model, the Unobserved Component Model (UCM), which is part of the family of State Space models, to assess the trend, seasonality, cyclical behavior, and impacts of exogenous regressors on aggregated farm milk price behavior in Brazil from January 2005 to December 2019. We tested five alternative models with different regressors using the monthly national average prices of milk paid to farmers. The fit of the models was assessed with Akaike information criterion and Bayesian information criterion. Predictions were assessed by the root mean squared error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). All models demonstrated a high degree of accuracy. Trends, seasonality, and two cycles were statistically significant, with the trend and long-period cycle contributing the most to price variation. Exogenous factors such as feed cost and international dairy product prices also had significant positive effects on the level of Brazil's farm milk prices. All models demonstrated a high degree of accuracy, which may indicate their usefulness for price forecasting and policy formulation.(AU)

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This study developed a multiple linear regression model to estimate the Average rural prices (ARP) in Mexico with information taken from the period 1999-2018. The variables used to generate this model were the supply and demand as represented by planted area, yield, exports and the ARP of Agave Tequilero and Mezcalero. The analysis was carried out through the multiple linear regression model (MLRM) with the least squares method and using the statistical package R. The following variables were identified as having a significant influence on the determination of the ARP: the yield of Agave Mezcalero (YAM), the ARP of Agave Tequilero and the new planted area of Agave Tequilero (NPAATt-6) with an adjustment of 6 periods. Overall, three models were generated: model 2 was considered the most appropriate because it allows carrying out future forecasts with the new planted area with Agave Tequilero with 2 independent variables. YAM and NPAATt-6 were useful in predicting 65.5% of the annual variations in the ARP and helped recognize the negative trend of the Agave price from 2020 to 2024. Therefore, the use of the MLRM to estimate the Agave ARP can be a useful tool in predicting the performance of this crop.

O objetivo deste estudo é desenvolver um modelo de regressão linear múltipla para estimar o Preços médios rurais (PRM) no México com informações retiradas do período 1999-2018. As variáveis ​​utilizadas para gerar este modelo foram a oferta e a demanda representadas pela área plantada, produtividade, exportações e o PRM da Agave Tequilero e Mezcalero. A análise foi realizada através do modelo de regressão linear múltipla (MRLM) com o método dos mínimos quadrados e utilizando o pacote estatístico R. As seguintes variáveis ​​foram identificadas como tendo influência significativa na determinação do PRM: o rendimento da Agave Mezcalero (RAM), o PMR da Agave Tequilero e a nova área plantada da Agave Tequilero (NPAATt-6) com um ajuste de 6 períodos. Ao todo, foram gerados três modelos: o modelo 2 foi considerado o mais adequado porque permite fazer previsões futuras com a nova área plantada com Agave Tequilero com dois variáveis ​​independentes. RAM e NPAATt-6 foram úteis na previsão de 65,5% das variações anuais no ARP e ajudaram a reconhecer a tendência negativa do preço da Agave de 2020 a 2024. Portanto, o uso do MRLM para estimar o PMR da Agave pode ser uma ferramenta útil na previsão do desempenho desta cultura.

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ABSTRACT: This study developed a multiple linear regression model to estimate the Average rural prices (ARP) in Mexico with information taken from the period 1999-2018. The variables used to generate this model were the supply and demand as represented by planted area, yield, exports and the ARP of Agave Tequilero and Mezcalero. The analysis was carried out through the multiple linear regression model (MLRM) with the least squares method and using the statistical package R. The following variables were identified as having a significant influence on the determination of the ARP: the yield of Agave Mezcalero (YAM), the ARP of Agave Tequilero and the new planted area of Agave Tequilero (NPAATt-6) with an adjustment of 6 periods. Overall, three models were generated: model 2 was considered the most appropriate because it allows carrying out future forecasts with the new planted area with Agave Tequilero with 2 independent variables. YAM and NPAATt-6 were useful in predicting 65.5% of the annual variations in the ARP and helped recognize the negative trend of the Agave price from 2020 to 2024. Therefore, the use of the MLRM to estimate the Agave ARP can be a useful tool in predicting the performance of this crop.

RESUMO: O objetivo deste estudo é desenvolver um modelo de regressão linear múltipla para estimar o Preços médios rurais (PRM) no México com informações retiradas do período 1999-2018. As variáveis ​​utilizadas para gerar este modelo foram a oferta e a demanda representadas pela área plantada, produtividade, exportações e o PRM da Agave Tequilero e Mezcalero. A análise foi realizada através do modelo de regressão linear múltipla (MRLM) com o método dos mínimos quadrados e utilizando o pacote estatístico R. As seguintes variáveis ​​foram identificadas como tendo influência significativa na determinação do PRM: o rendimento da Agave Mezcalero (RAM), o PMR da Agave Tequilero e a nova área plantada da Agave Tequilero (NPAATt-6) com um ajuste de 6 períodos. Ao todo, foram gerados três modelos: o modelo 2 foi considerado o mais adequado porque permite fazer previsões futuras com a nova área plantada com Agave Tequilero com dois variáveis ​​independentes. RAM e NPAATt-6 foram úteis na previsão de 65,5% das variações anuais no ARP e ajudaram a reconhecer a tendência negativa do preço da Agave de 2020 a 2024. Portanto, o uso do MRLM para estimar o PMR da Agave pode ser uma ferramenta útil na previsão do desempenho desta cultura.

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Introduction: Biological medicines have been assuming an important role among the therapeutic options for several diseases, however, due to their complex production process, the products obtained from this technology have a high added value and do not reach the purchasing power of most patients, which overwhelms the budget of health systems. With the development of biosimilars, which have reduced production costs, it is expected that access to biological medicines will become broader. However, in Brazil, the criteria for determining the price of biosimilars, unlike the generic policy in the country, do not foresee a price reduction due to the reduction of development costs. Objective: To understand the impact of the current model of economic regulation on the availability and access of these products in the country, based on a comparative analysis in selected countries, and identify trends that can help to expand the availability and access to biological medicines. Method: Quantitative and qualitative study, to identify the variation between the entry prices of biological medicines in Brazil and in selected countries, as well as the differences in the economic regulation policies established in these countries. Results: The results demonstrate that the current pricing model in Brazil has generated distortions in the prices of biosimilars in the market, which, consequently, makes it difficult for the population to access this category of products, in addition to allowing unsustainable market practices for the systems of public and private health in Brazil. It was also found that most of the analyzed countries, unlike Brazil, seek to harmonize the prices of different brands of the same molecule marketed in the country and with the international market, in addition to establishing incentive policies for indication and replacement by biosimilars, which expands the participation of biosimilars in the market significantly. Conclusion: Based on the data presented, it is concluded that it is essential to build a broader political and regulatory debate on the market for biologicals and biosimilars in the country to guarantee the access of the Brazilian population to more cost-effective technologies, generate a more competitive market and consequently contribute to the financial sustainability of health systems.

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Affordable nutrient density is provided by low-cost and nutrient-rich foods. We explored nutrient density, cost, and NOVA category assignments within and across food groups in Brazil. The nutrient density of the foods (n = 591) was assessed using the Nutrient Rich Food Index (NRF9.3) based on protein, fiber, vitamin A (RAE), vitamin C, vitamin E (mg), Ca, Fe, K and Mg; and NRF6.3 score for priority nutrients: Ca, Fe, Zn, vitamin A, vitamin B12, and folate. Nutrients to limit (LIM) were saturated fat, added sugar, and sodium. Affordability was defined as the ratio of energy and/or nutrient density of foods and retail price per 100 kcal. Foods were classified as minimally processed (n = 106), processed (n = 188), ultra-processed (n = 286), and culinary ingredients (n = 11). Nutrient density was positively linked to per 100 kcal food cost. Ultra-processed foods (UPF) contained more energy, fat, sugar, and salt and had lower NRF scores compared to minimally processed (MPF) foods. UPF was also less expensive than MPF foods. Nutrient-rich foods below the median per 100 kcal costs included MPF foods, but also processed foods (PF) and UPF. Affordable nutrient-rich foods can be found in the different categories of the NOVA classification.

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We examine the price disorder and informational efficiency of five cryptocurrencies (Bitcoin, BNB, Cardano, Ethereum, and XRP) before and during the COVID-19 pandemic. In this sense, we estimate the permutation entropy and Fisher information measure (FIM). We use these complexity measures to construct the Shannon-Fisher causality plane (SFCP) to map these cryptocurrencies and their respective locations in a two-dimensional plane and then apply the sliding time window approach to study the temporal evolution of informational efficiency. All cryptocurrencies exhibit high but slightly varying informational efficiency during both periods. Cardano was the most efficient cryptocurrency. These results might point to the increasing maturity and lower potential for price predictability, which matter to cryptocurrencies' usage for liquidity risk diversification strategy.

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Background: Economic dimension comprises important determinants of food choices, particularly income and prices. Aim: Identification of the influence of food prices and diet costs on the consumption of food groups considered protection and risk factors for cardiometabolic diseases. Methods: Food groups classification follows the proposal of "What we eat in America?" from the National Health and Nutrition Examination Survey (NHANES), adapted to Latin America. Data on food consumption from the Health Survey of Sao Paulo (2003, 2008, and 2015), representative at population level, was used. Log-linear regressions were estimated for food groups, controlling for endogeneity through augmented regression-test Results: Results showed increase in prices per calorie of whole grains and red meat from 2003-2015 and a decrease in prices per calorie of fruits, vegetables, beans, legumes, oilseeds and fish/seafood. Food groups had price elasticities between -0.01 and -1.6, i.e., decrease in consumption associated with increase in prices. Results showed statistically significant effects of substitution and complementarity, particularly substitution between sweetened beverages and fruits (2003, ß = 0.606; 2008: ß = 0.683; 2015, ß = 0.848), complementarity between nuts and seeds and whole grains (2003, ß = -0.646; 2008, ß = -0.647; 2015,ß = -0.901), and vegetables and processed meat (2003, ß = -1.379; 2015, ß = -1.685). Conclusion: Findings of the study represent relevant evidence for design strategies towards the adoption of healthier diets, particularly through subsidies to protection food groups, promoting lower prices and higher diet quality. The evidence may be useful for policymakers and researchers in fields of nutrition and health in diverse countries worldwide, especially due to absence of robust evidence in literature.

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In the context of fiscal reform in Costa Rica (value added tax revision), the definition of a new basic tax basket, "canasta básica tributaria" (CBT) in Spanish, incorporating nutritional criteria is underway in the country. In this study, price elasticities of major food categories were analyzed using a Quadratic Almost Ideal Demand System (QUAIDS) model. Data from the 2018 National Survey of Household Income and Expenditures was used. Measuring price elasticities is essential because it allows: knowing the extent to which food demand reacts to price changes, anticipating changes in the quantities demanded as a result of fiscal policy changes, measuring potential substitution and complementary effects between food groups, and potential nutritional effects of fiscal policies. As a result, it helps providing recommendations on the content of a CBT with nutritional criteria. Results show that the food categories with the most elastic demand are "Bread and cereals," soft drinks and "Milk, cheese and eggs." Substitution effects exist between the following groups: "Fruits" and "Oils and fats," "Fruits" and "Bread and cereals," and between "Milk, cheese and eggs" and "Oils and fats." For this last food category and for the one which includes sweets and chocolates, the consumption decreases when the price of "Bread and cereals" increases. They are complementary goods. These relations between food groups need to be taken into account when defining a national CBT with nutritional criteria and with the objective of promoting the consumption of healthier food groups while disincentivizing the consumption of the unhealthy ones. Lastly, it is important that the consumption of the healthiest foods within each food group be fiscally promoted. Clinical Trial Registration: JEL codes: D12, H3, I18.

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This paper analyzes the impact of international oil price uncertainty on the different economic sectors (primary, secondary, and tertiary) in Mexico in the period 1993:1-2020:4 through a bivariate structural vector autoregressive (VAR) model with a generalized autoregressive conditional heteroskedasticity (GARCH) in mean to capture the impact of oil volatility on economic growth at the sectoral level of economic activity. The results show that the uncertainty of the international price of oil has a differentiated effect on the different sectors of economic activity in Mexico since it does not influence the primary sector; it negatively impacts the secondary sector, and there is mixed evidence in the tertiary sector. Additionally, evidence is provided that both positive and negative shocks to the international oil price have asymmetric effects at the sectoral level in Mexico. The results highlight the need to implement public policies, at the country level, that help mitigate the effect of uncertainty in the oil market and promote economic stability at the sector level.

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BACKGROUND: Since 1993, Colombia has had a mandatory social health insurance scheme that aims to provide universal health coverage to all citizens. However, some contributory regime participants purchase voluntary private health insurance (VPHI) to access better quality health services (i. e., physicians and hospitals), shorter waiting times, and a more extensive providers' network. This article aims to estimate the price elasticity of demand for the VPHI market in Colombia. METHODS: We use data from the 2016-2017 consumer expenditure national survey and apply a Heckman selection model to address the selection problem into purchasing private insurance. Using the estimation results to further estimate the price semi-elasticity for VPHI, we then calculate the price elasticity for the households' health expenditure and acquisition of VHPI. RESULTS: Our main findings indicate that a 1% VPHI price increase reduces the proportion of households affiliated to a VPHI in the country by about 2.32% to 4.66%, with robust results across sample restrictions. There are relevant differences across age groups, with younger households' heads being less responsive to VPHI price changes. CONCLUSIONS: We conclude that the VPHI demand in Colombia is noticeably elastic, and therefore tax policy changes can have a significant impact on public health insurance expenditures. The government should estimate the optimal VPHI purchase in order to reduce any welfare loss that the current arrangement might be generating.

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INTRODUCTION: Taxes on tobacco products are an efficient way of reducing consumption. However, they are only effective if passed on to consumers with higher prices. This study aims to examine tobacco industry (TI) pricing strategies in response to tax increases, and whether they differ by price segments or presentation (packs or individual sticks) in Colombia. This is the first such academic study in Latin America and the first anywhere to include the market for single sticks. METHODS: Using data on cigarette pricing/taxation from a survey of smokers (2016-2017) and official government data on pricing (2007-2019), the TI's pricing strategies were examined, split by brand, price segments, different sized packs and single cigarettes. RESULTS: The TI employed targeted pricing strategies in Colombia: differentially shifting taxes; and launching new brands/brand variants. The industry overshifted taxes when increases were smaller and predictable, but used undershifting more when there was a larger increase in 2017, after which it mostly overshifted on budget and premium (but undershifted mid-priced) brands. The prices for single sticks increased more than the tax increase in 2017 when their consumption also increased. CONCLUSION: The pricing strategies identified suggest excise taxes can be increased further, particularly the specific component, to reduce the price gap between brand segments. Brands should be restricted to a single variant along with prohibitions on launching new brands/brand variants. Lastly, since the pricing of single sticks does not match the pattern of packs, more monitoring of their sales and distribution is required, especially since they promote consumption and hinder effective implementation of tobacco tax policies.