Statistika, 104(1): 5–15
https://doi.org/10.54694/stat.2023.34

Abstract
The problem of tax evasion is becoming more and more prominent, and it is causing large losses in individual state budgets. However, European policies have taken significant steps to eliminate them over the last two decades. National policies also contribute to reducing the estimated extent of tax evasion, as measured by Schneider's MIMIC model. However, these tendencies are not the same in individual countries.
Therefore, in our paper, we try to find pattern in tax evasion time trajectories of European Union countries and thus to create homogenous clusters that include countries with similar tax evasion situation. To meet our goal, we use panel data clustering method on our data with information about tax evasion of EU countries from 2000 to 2019. As a next step, we compare created cluster from the perspective of quality indicators of public institutions.

Keywords
Tax evasion, clustering, panel data

Statistika, 104(1): 16–26
https://doi.org/10.54694/stat.2023.47

Abstract
The diffusion of innovation in the area of banking and certain financial services is a topic eagerly taken up in empirical research, but in the case of Poland the study of this phenomenon in the area of finance and banking that utilizes the econometric models in question is practically non-existent. This article attempts to fill this research gap to some extent. The main objective of the article is to present a comparative analysis of the rate of mobile technologies diffusion among 3 groups of enterprises in the financial and insurance sectors: banking and lending, insurance and reinsurance, and brokerage and other activities. The occurrence of diffusion of mobile technologies and its rate was studied with the help of a logistic function. Results show that in companies operating in the insurance industry, the phase of rapid growth of mobile innovation diffusion lasted longer than in other groups of enterprises, but the highest dynamics of mobile innovation diffusion in the first phase of this phenomenon was achieved by companies conducting brokerage and other activities.

Keywords
Innovation diffusion, logistic function, banking, insurance, Poland

Abstract
Poverty is one of the main issues in the economic development of a country, including Indonesia. This was exacerbated when the Covid-19 pandemic had an impact on economic activities, so there are educated people who are still below the poverty line. Therefore, strategies in tackling the problem of poverty need to be developed in line with the times that have entered the era of digitalization. The research aimed to examine the importance of Information and Communication Technologies (ICTs) on high-educated poverty in East Java. Data obtained from the National Survey in Indonesia is analyzed with the random forest algorithm as a classification method in machine learning. The analysis shows that social media, laptop ownership, age, higher education, and internet access are the five most important variables for high-educated poverty classification in East Java. Based on this, a number of recommendations can be made to policy makers regarding the effect of digitalization on high-educated poverty in East Java.

Keywords
Education, digitalization, machine learning, poverty, random forest

Abstract
The present study investigates exports of India with selected South and Central Asian countries and their top trade partners. The panel data from 1996–2020 is used and PPML estimation technique which takes care of heterogeneity, zero trade and endogeneity is applied. In addition to basic variables, institutional setup in selected countries is included in the model to get better results. To check robustness of results, in addition to PPML, Heckman selection model is also estimated. The findings indicate that institutions play an important role in export promotion of India to these countries. Among various institutional factors, effectiveness of government in different aspects has considerable influence on exports from the country. The study concludes that institutional quality needs to be improved to enhance trade cooperation of India with these countries.

Keywords
International trade, gravity model, institutional factors, regional trade agreement, panel data

Abstract
Tobacco taxes in Indonesia have always been increasing over the past period. However, little was known about the impact of increasing tobacco taxes on cigarette consumption in urban and rural communities. Therefore, we examine the impact of implementing tobacco taxation policies in Indonesia on cigarette consumption levels in urban and rural areas. This study uses panel data for the 2007–2022 period from 33 provinces in Indonesia. Data were sourced from the Central Bureau of Statistics of the Republic of Indonesia and the Ministry of Finance of the Republic of Indonesia and were analyzed using the two-stage least squares (2SLS) model and the propensity score matching (PSM) model. Our finding shows that increased tobacco taxes negatively impact cigarette consumption in urban and rural areas. Even so, the decline in cigarette consumption in urban areas is still much lower than the reduction in rural areas.

Keywords
Tobacco taxation, cigarette consumption, rural, urban, Indonesia

Abstract
There is a high unemployment rate in India, and self-employment is considered a way to create more jobs and stimulate the economy. However, personal and family characteristics and occupational structure play a role in determining who is likely to pursue self-employment. We conducted a study to assess the probability of Indian youth choosing self-employment over regular-wage employment. Our findings show that females living in rural areas and married individuals are more likely to choose self-employment than their male, urban, and unmarried counterparts. Education is also a factor, as those with higher education tend to seek regular-wage employment. Certain occupations, such as technicians and clerical support workers, are less likely to pursue self-employment. To promote self-employment among youth, there should be a focus on enhancing entrepreneurial skills and capabilities.

Keywords
Regular wage employment, self-employment, labour market state, youth

Abstract
Consumer price index has been in the centre of interest for many years, since being published in 1990s in the Czech Republic but recent price growth raised more questions on methodology and data sources used in price statistics. Users are interested not only in the figures itself but also in statistical issue influencing interpretation and the quality of consumer price index that is often used as an approximation of inflation rate. The paper introduces price statistics compiled by the Czech Statistical Office and it specifically focuses on data sources and in particular scanner data. The paper explains how advanced statistical methods such as machine learning are implemented in official statistical production. We think that the official statistics is being on the historical junction where modern methods are going to be implemented. Our paper shows the usage of machine learning procedures applied on scanner data within consumer price index. Used method is based on logistic regression and powerful Python solution and that provides fast and high quality results.

Keywords
Consumer price index, scanner data, machine learning, logistic regression

Abstract
Since the outset of economic transformation in the 90th of the 20th century, the sphere of non-profit institutions in the Czech economy has been expanding. This evolution poses a challenge for macroeconomic statistics and its compilers to reflect adequately the operation of non-profit segment as well as to treat non-profit institutions properly in terms of their sector classification. The paper thus aims to discuss not only the treatment of non-profit institutions in national accounts but also the way non-profit institutions are identified in the regulatory environment of the Czech economy and classified following the rules laid down in the national accounts methodology. The paper also highlights major obstacles the compilers are facing when dealing with this specific economic sphere.

Keywords
Non-profit institutions, national accounts, sector classification