Publisher: Vilnius University   (Total: 39 journals)   [Sort by number of followers]

Showing 1 - 39 of 39 Journals sorted alphabetically
Accounting Theory and Practice     Open Access   (Followers: 4)
Acta medica Lituanica     Open Access   (Followers: 1)
Acta Museologica Lithuanica     Open Access  
Acta Orientalia Vilnensia     Open Access   (Followers: 1)
Acta Paedagogica Vilnensia     Open Access   (Followers: 1)
Archaeologia Lituana     Open Access  
Baltistica     Open Access  
Bibliotheca Lituana     Open Access  
Criminological Studies     Open Access   (Followers: 2)
Informacijos mokslai     Open Access  
J.ism Research     Open Access   (Followers: 4)
Jaunujų mokslininkų darbai     Open Access  
Kalbotyra     Open Access  
Knygotyra (Book Science)     Open Access  
Lietuvių kalba     Open Access   (Followers: 1)
Lietuvos istorijos studijos     Open Access  
Lietuvos Matematikos Rinkinys     Open Access   (Followers: 3)
Lietuvos Statistikos Darbai     Open Access   (Followers: 3)
Literatūra     Open Access  
Lithuanian Surgery : Lietuvos Chirurgija     Open Access  
Nonlinear Analysis : Modelling and Control     Open Access   (Followers: 1)
Organizations and Markets in Emerging Economies     Open Access   (Followers: 4)
Politologija     Open Access  
Problemos     Open Access  
Psychology     Open Access  
Religija ir kultūra     Open Access   (Followers: 4)
Respectus Philologicus     Open Access  
Scandinavistica Vilnensis     Open Access   (Followers: 3)
Semiotika     Open Access   (Followers: 1)
Slavistica Vilnensis     Open Access   (Followers: 1)
Socialinė teorija, empirija, politika ir praktika     Open Access  
Socialiniai tyrimai     Open Access   (Followers: 2)
Sociology : Thought and Action     Open Access   (Followers: 1)
Taikomoji kalbotyra     Open Access   (Followers: 4)
Teisė : Law     Open Access  
Verbum     Open Access  
Vertimo studijos (Translation Studies)     Open Access   (Followers: 1)
Vilnius University Open Series     Open Access   (Followers: 1)
Vilnius University Proceedings     Open Access   (Followers: 2)
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Lietuvos Statistikos Darbai
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1392-642X - ISSN (Online) 2029-7262
Published by Vilnius University Homepage  [39 journals]
  • Editorial Board and Table of Contents

    • Authors: Marijus Radavičius
      Pages: 1 - 2
      PubDate: 2019-12-20
      Issue No: Vol. 58, No. 1 (2019)
  • Subpopulation of Immigrants in Lithuania: Foreign-Born Generations

    • Authors: Vladislava Stankūnienė, Dalia Ambrozaitienė, Marė Baublytė
      Pages: 4 - 15
      Abstract: The article analyzes the foreign-born population of Lithuania, its age and ethnic composition, and periods of arrival to Lithuania. The analysis is based on the 2011 Lithuanian Population Census data. The results of the analysis show that the foreign-born population of Lithuania is very heterogeneous and has three major groups formed at different times, by different immigration factors and flows, they are different by age and ethnic composition. Most of foreign-born population of Lithuania is formed during the Soviet era - those who arrived from the former USSR. Among them the majority are of Russians, but a quite large part - Lithuanians who arrived since the mid-sixties of 20th century (children of deportees). The youngest generation of the emerging foreign-born generation is from Western European countries.
      PubDate: 2019-12-20
      DOI: 10.15388/LJS.2019.16665
      Issue No: Vol. 58, No. 1 (2019)
  • Comparing the Quality of Household Age Distribution from Surveys in
           Developing Countries: Demographic and Health Survey vs Multiple Indicator
           Cluster Survey

    • Authors: Chinonso O. Okoro
      Pages: 16 - 25
      Abstract: This paper focuses on the quality of household age distribution from two surveys in developing countries. Age and sex data serve as the base population for the estimation of demographic parameters (fertility, mortality, etc.) and other socio-economic indicators. The ultimate objective is to evaluate the age and sex data from two surveys to determine the one with better age and sex reporting that may provide quality base populations for the estimation of demographic parameters and socioeconomic indicators. Algebraic methods were applied to the data retrieved from the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). The overall results show that the quality of data from the two surveys is poor. It is observed that age and sex data from the Nigerian DHS appear to be better than that of MICS while in Bangladesh, Malawi, and Nepal the reverse is the case based on the Joint Scores (JS). The result further shows that Malawi with high literacy respondents had better JS than the other countries indicating that the level of education may be one of the determinants of the quality of age and sex data. Therefore, it is recommended that care and caution should be taken during data collection to reduce the effect of misreporting of age and the usual practice of eliciting vital records of the respondents such as age from the head of the household instead of birth certificates should be discouraged. More importantly, evaluation of age and sex data from different surveys should be done before usage to ascertain the survey with a better quality of data without always presuming that one survey is of better quality than the other.
      PubDate: 2019-12-20
      DOI: 10.15388/LJS.2019.16666
      Issue No: Vol. 58, No. 1 (2019)
  • Basic Needs and Absolute Poverty in Lithuania: Method and Estimation

    • Authors: Jekaterina Navickė, Aušra Čižauskaitė, Ugnė Užgalė
      Pages: 26 - 38
      Abstract: We propose a methodology for estimating the cost of the basic needs and applying it on the data for Lithuania in a decade after the EU accession (2006-2016). The basic food costs account for the minimal nutrition requirements, while the cost of other needs is estimated in relative terms, taking actual consumption patterns in the population into account. A reduction in the cost of the basic needs for additional members of the household is accounted for by a specially constructed consumption-based equivalence scale estimated on the HBS data. We show that the cost of the basic needs in Lithuania is close to the relative at-risk-of-poverty line (at 60% of the median equivalized disposable income) for a single adult but exceeds it for larger households. The share of people with income below the basic needs’ cost was above the relative at-risk-of-poverty levels in the EU-SILC data for all years, except of 2016. Albeit, the actual level might be lower due to the under-reporting of shadow income in the EU-SILC. Ability to meet basic needs and related absolute poverty indicators shows anti-cyclical dynamics in times of the economic growth and recession. Children are consistently the most deprived group of the Lithuanian population when it comes to meeting the basic needs. The official absolute poverty indicator used in Lithuania under-estimates the cost of the basic needs for households with more than one member.
      PubDate: 2019-12-20
      DOI: 10.15388/LJS.2019.16668
      Issue No: Vol. 58, No. 1 (2019)
  • Testing Linear and Nonlinear Hypotheses in a Cox Proportional Hazards
           Model with Errors in Covariates

    • Authors: Oksana Chernova, Alexander Kukush
      Pages: 39 - 47
      Abstract: We investigate linear and nonlinear hypotheses testing in a Cox proportional hazards model for right-censored survival data when the covariates are subject to measurement errors. In Kukush and Chernova (2018) [Theor. Probability and Math. Statist. 96, 101–110], a consistent simultaneous estimator is introduced for the baseline hazard rate and the vector of regression parameters. Therein the baseline hazard rate belongs to an unbounded set of nonnegative Lipschitz functions, with fixed constant, and the vector of regression parameters belongs to a compact parameter set. Based on the estimator, we develop two procedures to test nonlinear and linear hypotheses about the vector of regression parameters: Wald-type and score-type tests. The latter is based on an unbiased estimating equation. The consistency of the tests is shown.
      PubDate: 2019-12-20
      DOI: 10.15388/LJS.2019.16669
      Issue No: Vol. 58, No. 1 (2019)
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Heriot-Watt University
Edinburgh, EH14 4AS, UK
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