Cost of doing business index in Latin America

Bernardes, Patrícia; Ekel, Petr; Rezende, Sérgio Fernando Loureiro; Júnior, Joel Gomes Pereira; Santos, Angélica Cidália Gouveia dos; Costa, Maurício Andrade Rodrigues da; Carvalhais, Rafael Lopes; Libório, Matheus Pereira

doi:10.1007/s11135-021-01221-8

Cited by 15 publications

(15 citation statements)

References 56 publications

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“…Two factor ANOVA with replication: is an analysis that tests the hypothesis of signi cant differences between the indicators of countries of different groups (Ekel et al 2021). In other words, this analysis veri es that the differences between the means of the data sets are signi cant, allowing several groups to be compared simultaneously (Quirk 2012).…”

Section: Measuring the Impact Of Retail And Recreation Mobility On Economic Indicators In South American Countries Through Google Mobilitmentioning

confidence: 99%

“…Cook's (1977) distance: is a measure that allows identifying atypical elements in a multivariate set of data, which can distort the result and precision of multivariate analyses. As a general rule, observations with a Cook's distance greater than three times the mean are possible outliers (Bernardes et al 2021).…”

Section: Measuring the Impact Of Retail And Recreation Mobility On Economic Indicators In South American Countries Through Google Mobilitmentioning

confidence: 99%

“…al. 2016), costs of doing business(Bernardes et al 2021;Ekel et al 2022), sustainable development(Salvati and Carlucci 2014;Alaimo and Maggino 2020), competitiveness(Moirangthem and Nag 2022) among others(Mazziotta and Pareto 2016). Composite indicators are constructed by a method that aggregates normalized sub-indicators, weighted or not(El Gibari et al 2019).…”

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confidence: 99%

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Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

Libório

Ekel

Martins

2022

Preprint

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Alternative data are now widely used in economic analyses worldwide but still infrequent in studies on the Brazilian economy. This research demonstrates how alternative data extracted from Google Trends and Google Mobility contribute to innovative economic analysis. First, it demonstrates that the search for the future on the internet is correlated (R=0.62) with the average household income in Brazilian states. The three Brazilian states with the most people looking for the future on the internet have an average household income 1.6 times higher than people from states that do not have this behavior. The search for the future represents 10.9% of the economic development potential of the states, while the proportion of people with university degrees, scientific publications, and researchers represents another 60.4%. The reduction in mobility in retail/recreation locations averaged 34.28% in Brazil, Ecuador, Paraguay, and Uruguay. This group of countries had COVID-19 infection and death rates 1.25 and 1.74 times higher than in countries that reduced their mobility in retail/recreation locations by 45.03%. The impact of reduced mobility in retail/recreation locations on the unemployment rate, gross domestic product degrowth, and inflation in countries such as Brazil was 1.1, 2.2, and 2.6 times lower than in countries that reduced mobility more of people. The research contributions are associated with identifying new indicators extracted from alternative data and their application to carry out innovative economic analyses.JEL Code: A12; C00; E01; J1

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Section: Measuring the Impact Of Retail And Recreation Mobility On Economic Indicators In South American Countries Through Google Mobilitmentioning

confidence: 99%

Section: Measuring the Impact Of Retail And Recreation Mobility On Economic Indicators In South American Countries Through Google Mobilitmentioning

confidence: 99%

mentioning

confidence: 99%

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Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

Libório

Ekel

Martins

2022

Preprint

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“…In stage two, the Average silhouette, Elbow, and Gap Statistic methods were employed to define the number of clusters (Rousseeuw, 1987 ). In stage three, the measures of cohesion quality and resolution of the clusters generated in stage two were verified from the average width of the silhouette of each observation within the group (Bernardes et al, 2021 ). The cluster configuration with the best cohesion and resolution was selected as CI-Exposure-K-means.…”

Section: Operational Frameworkmentioning

confidence: 99%

Factors that most expose countries to COVID-19: a composite indicators-based approach

et al. 2021

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Studies carried out in different countries correlate social, economic, environmental, and health factors with the number of cases and deaths from COVID-19. However, such studies do not reveal which factors make one country more exposed to COVID-19 than other. Based on the composite indicators approach, this research identifies the factors that most impact the number of cases and deaths of COVID-19 worldwide and measures countries’ exposure to COVID-19. Three composite indicators of exposure to COVID-19 were constructed through Principal Component Analysis, Simple Additive Weighting, and k-means clustering. The number of cases and deaths from COVID-19 is strongly correlated ( R > 0.60) with composite indicator scores and moderately concordant ( K > 0.4) with country clusters. Factors directly or indirectly associated with the age of the population are the ones that most expose countries to COVID-19. The population of countries most exposed to COVID-19 is 12 years older on average. The proportion of the elderly population in these countries is at least twice that of countries less exposed to COVID-19. Factors that can increase the population’s life expectancy, such as Gross Domestic Product per capita and the Human Development Index, are four times and 1.3 times higher in more exposed countries to COVID-19. Providing better living conditions increases both the population’s life expectancy and the country’s exposure to COVID-19.

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“…Composite indicators are one-dimensional measures that facilitate the comprehension of multiple sub-indicators associated with multidimensional economic phenomena. Among these multidimensional economic phenomena, it is possible to mention the uncertainty (Charles et al 2018 ), risk (Akin et al 2016 ), costs of doing business (Bernardes et al 2021 ; Ekel et al 2022 ), sustainable development (Salvati and Carlucci 2014 ; Alaimo and Maggino 2020 ), competitiveness (Moirangthem and Nag 2022 ) among others (Mazziotta and Pareto 2016 ). Composite indicators are constructed by a method that aggregates normalized sub-indicators, weighted or not (El Gibari et al 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

2022

Self Cite

View full text Add to dashboard Cite

Alternative data are now widely used in economic analyses worldwide but still infrequent in studies on the Brazilian economy. This research demonstrates how alternative data extracted from Google Trends and Google Mobility contribute to innovative economic analysis. First, it demonstrates that the search for the future on the internet is correlated ( R = 0.62) with the average household income in Brazilian states. The three Brazilian states with the most people looking for the future on the internet have an average household income 1.6 times higher than people from states that do not have this behavior. The search for the future represents 10.9% of the economic development potential of the states, while the proportion of people with university degrees, scientific publications, and researchers represents another 60.4%. The reduction in mobility in retail/recreation locations averaged 34.28% in Brazil, Ecuador, Paraguay, and Uruguay. This group of countries had COVID-19 infection and death rates 1.25 and 1.74 times higher than in countries that reduced their mobility in retail/recreation locations by 45.03%. The impact of reduced mobility in retail/recreation locations on the unemployment rate, gross domestic product degrowth, and inflation in countries such as Brazil was 1.1, 2.2, and 2.6 times lower than in countries that reduced mobility more of people. The research contributions are associated with identifying new indicators extracted from alternative data and their application to carry out innovative economic analyses.

show abstract

Cost of doing business index in Latin America

Cited by 15 publications

References 56 publications

Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

Factors that most expose countries to COVID-19: a composite indicators-based approach

Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

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