Dias Satria, Radityo Putro Handrito, Girindra Mega Paksi, Patricia Juan Aurellia
{"title":"Assessing the Importance of ICT on High-Educated Poverty in East Java Using Random Forest Methods","authors":"Dias Satria, Radityo Putro Handrito, Girindra Mega Paksi, Patricia Juan Aurellia","doi":"10.54694/stat.2023.38","DOIUrl":"https://doi.org/10.54694/stat.2023.38","url":null,"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.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"48 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Non-Profit Institutions in National Accounts","authors":"Ludmila Vébrová, Václav Rybáček","doi":"10.54694/stat.2023.25","DOIUrl":"https://doi.org/10.54694/stat.2023.25","url":null,"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.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"87 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140239548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Consumer Price Index in the Czech Republic – New Sources and Data Processing","authors":"Jaroslav Sixta, Petr Musil","doi":"10.54694/stat.2023.37","DOIUrl":"https://doi.org/10.54694/stat.2023.37","url":null,"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.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"20 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140240558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Self-Employment Dynamics amid High Unemployment: An Empirical Analysis of Transitional Labour Market in India","authors":"Sonu Madan, Surender Mor","doi":"10.54694/stat.2023.22","DOIUrl":"https://doi.org/10.54694/stat.2023.22","url":null,"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.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"EU Countries Tax Evasion Clustering","authors":"Mária Stachová, Kamil Ščerba","doi":"10.54694/stat.2023.34","DOIUrl":"https://doi.org/10.54694/stat.2023.34","url":null,"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.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"6 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aamir Ahmad Teeli, Suadat Hussain Wani, Adil Hussain Reshi
{"title":"Determinants of Total Factor Productivity in India: an Econometric Analysis","authors":"Aamir Ahmad Teeli, Suadat Hussain Wani, Adil Hussain Reshi","doi":"10.54694/stat.2023.15","DOIUrl":"https://doi.org/10.54694/stat.2023.15","url":null,"abstract":"Productivity rise as a source of growth has high potential to uplift millions out of poverty. Mitigating the productivity gap can play vital role in helping developing countries to offset with developed countries. In this regard, present study attempts to scrutinize the relationship and significance of various determinants of total factor productivity (TFP) in India for the period 1990–1991 to 2019–2020. To this end, autoregressive distributed lag bounds testing approach has been utilized. The results pinpoint that trade openness and unemployment have a positive impact on total factor productivity. On the other hand, inflation has a negative but insignificant relationship with total factor productivity, both in the short and long run. The results imply that exports need to be diversified, and import of capital goods should be encouraged to enhance TFP in the long run. Further, foreign-owned business entities need to be encouraged to hire domestic workers, which would result in enhanced TFP in the long run.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"354 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139178060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investment into Low-Carbon Economy in the CEE NUTS-2 Regions: Are EU Funds Used where Needed?","authors":"Ľubica Štiblárová","doi":"10.54694/stat.2023.13","DOIUrl":"https://doi.org/10.54694/stat.2023.13","url":null,"abstract":"This paper explores the spending decisions about the EU Cohesion Policy 2014–20 investment in the low-carboneconomy in the 2 regions of Central and Eastern European countries with regard to their climate need, proxied by the carbon emissions. By estimating non-spatial and spatial econometric models, which take intoacc ount the spatial scope of the Cohesion Policy, we do not confirm a statistically significant positive relationship between climate need proxied by carbon emissions in 2013 and the EU funds to a low-carbon economy in the programming period 2014–20. Our results, therefore, suggest that the EU funds with the low-carbon thematic objective have not been primarily spent in the regions with the highest carbon emissions prior to the examined programming period, calling for increasing awareness and necessary technical assistance for the beneficiaries, along the place-based strategies in the implementation of the Cohesion Policy in the next programming periods.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"228 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139177954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emília Zimková, Petra Gurčíková, Michaela Vidiečanová, Lubomir Pinter, Colin Lawson
{"title":"Efficiency Evaluation of Water Sector in the Czech Republic: Two-Stage Network Dea","authors":"Emília Zimková, Petra Gurčíková, Michaela Vidiečanová, Lubomir Pinter, Colin Lawson","doi":"10.54694/stat.2023.26","DOIUrl":"https://doi.org/10.54694/stat.2023.26","url":null,"abstract":"The water and wastewater services, usually provided in a monopoly regime, do not offer the operators natural incentives toward efficiency and innovation. Therefore the main aim of the regulatory institutions is to stimulate a competitive environment. The contribution measures technical efficiency of 21 water and waste water companies in the Czech Repulic. For the period 2018–2020, the two-stage slacked-based model (SBM) by Kaoru Tone and Miki Tsutsui (2009) was applied. The results of this study are heterogeneous. Only one company out of 21 can be identified as an overall technically efficient unit during all three analyzed years. It is Vodohospodárská společnost Olomouc (VSO) followed by Pražské vodovody a kanalizace (PVK) that is very close to full technical efficiency. Our results therefore reveal a strong potential for the decrease of ineficiency of the water sector in the Czech Republic. Another important outcome is the fact that regulation of the water industry in the Czech Republic is highly fragmented.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"101 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139177301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multicriteria Evaluation of Randomized Response Techniques for Population Mean","authors":"Ondřej Vozár, L. Marek","doi":"10.54694/stat.2023.32","DOIUrl":"https://doi.org/10.54694/stat.2023.32","url":null,"abstract":"Increasing demand in surveys focused on quantitative characteristics (population mean among others) of controversial issues like corruption, tax evasion, drugs consumption of sensitive variables like spending on drugs or illegal sources of income which lead to lively research, are of randomized response techniques for quantitative variables. Therefore, we propose complex multicriteria evaluation methodology for randomized response techniques for population mean. Based on extensive review in the literature, following ranges of criteria were proposed: statistical properties of estimator, implementation and parameter choice, respondent burden and credibility and confidentiality protection of respondents’ data. Finally, we evaluate in this setting standard techniques using scramble variables and recently proposed techniques of dichotomous question.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"326 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139177612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Payout Phase of Defined Contribution Systems: the Case of Slovakia","authors":"I. Melichercík, Gábor Szűcs","doi":"10.54694/stat.2023.12","DOIUrl":"https://doi.org/10.54694/stat.2023.12","url":null,"abstract":"The paper aims to assess various aspects concerning the payment phase of the old-age pension scheme, the socalled second pillar of the pension system in Slovakia. However, the conclusions may also be useful for other pension systems. Using the Lee-Carter model and standard actuarial methods, we conclude that the second pillar is advantageous for the high-income groups or in case of high performance of pension funds. We also address the issue of deferring the purchase of a lifetime annuity. Deferral can be beneficial when the yield of the pension fund exceeds a certain threshold value. This threshold usually raises with increasing age. We argue that the temporary pension is a disadvantageous product and its recent cancellation is correct. The main contribution of the paper subsists in a three-state model of long-term care insurance, using which we calculate corresponding replacement rates. Combined with a lifetime annuity, long-term care insurance can be beneficial.","PeriodicalId":508966,"journal":{"name":"Statistika: Statistics and Economy Journal","volume":"538 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139177652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}