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    Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° статистичСских классификаций для изучСния содСрТания ΠΈ структуры ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

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    Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. Therefore, the issues of constant adaptation of statistical methodology in relation to the primary real estate market are relevant continuously. Among the tasks that are constantly in the field of statistical science and practice in relation to the primary real estate market are the following. First, a critical analysis of the content of the modern primary real estate market, which should allow to identify its fundamental features as an object of statistical research, to systematize the economic relations of the subjects of this market segment for a comprehensive statistical analysis of its functioning and development in any region of Russia. Secondly, it is the construction of analytical classifications of the primary real estate market, systematization of criteria for their construction, which should allow for a qualitative analysis of the structure of this market segment in the modern market economy. Third, the continuous improvement of the system of statistical indicators of the primary real estate market, whichΒ should be constantly supplemented by various blocks of indicators, the use of which will link the development of the primary real estate market with indicators of the standard of living of the population and socio-economic development of a particular region on the basis of the formation and ordering of its various subsystems, which will increase their consistency with indicators of living standards and socio-economic development. To Develop the theory and statistical methodology of the complex study of the primary real estate market in terms of the development of criteria for the division of the object into homogeneous groups by typological characteristics and the construction on their basis of statistical classifications necessary for the structural analysis of the primary real estate market. To obtain scientific results in this article, General scientific methods of cognition, such as scientific abstraction, analysis and synthesis, are used, since it is a question of dividing a single whole into typologically homogeneous complexes, the organic relationship between which ensures the integrity and unity of the studied object – the primary real estate market. In addition, the use of the statistical grouping method is considered throughout the work, as it is an applied application of typological criteria. The main classification features of economic assets traded in the primary real estate market of the region are Substantiated and formulated. The development of criteria for the typological division of the object allowed to build statistical classifications necessary for a comprehensive analysis of the structure and structural changes in the primary real estate market. In the scientific article deals with the problematic aspects of a statistical study of the primary real estate market in parts of its etymology on the basis of clear criteria against which to understand the quality and properties of the traded on its economic assets, to build a statistical classification. All this is a step in the first stage of the statistical study in the sequence that is classically considered by the General theory of statistics. Statistical classifications and groupings by typological features precede the science-intensive substantiation and application of complex mathematical and static methods for factor analysis and forecasting of primary real estate market indicators.БтатистичСскоС ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости всСгда сопряТСно с Ρ‚ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ, Ρ‡Ρ‚ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ находится Π² постоянном, ΠΏΡ€ΠΈΡ‡Ρ‘ΠΌ вСсьма интСнсивном ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ, ΠΊΠ°ΠΊ Π² количСствСнном аспСктС, Ρ‚Π°ΠΊ ΠΈ Π² своём Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΌ содСрТании. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ ΠΈ вопросы постоянной Π°Π΄Π°ΠΏΡ‚Π°Ρ†ΠΈΠΈ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ Π½Π΅ΠΏΡ€Π΅Ρ€Ρ‹Π²Π½ΠΎ. Π‘Ρ€Π΅Π΄ΠΈ Π·Π°Π΄Π°Ρ‡, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ постоянно находятся Π² ΠΏΠΎΠ»Π΅ статистичСской Π½Π°ΡƒΠΊΠΈ ΠΈ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости ΠΌΠΎΠΆΠ½ΠΎ Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠ΅. Π’ΠΎ-ΠΏΠ΅Ρ€Π²Ρ‹Ρ…, ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ критичСского Π°Π½Π°Π»ΠΈΠ·Π° содСрТания соврСмСнного Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости, Ρ‡Ρ‚ΠΎ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ΡŒ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π΅Π³ΠΎ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ особСнности ΠΊΠ°ΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° статистичСского исслСдования, ΡΠΈΡΡ‚Π΅ΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ экономичСскиС связи ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π΄Π°Π½Π½ΠΎΠ³ΠΎ сСгмСнта Ρ€Ρ‹Π½ΠΊΠ° для провСдСния комплСксного статистичСского Π°Π½Π°Π»ΠΈΠ·Π° Π΅Π³ΠΎ функционирования ΠΈ развития Π² любом Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ России. Π’ΠΎ-Π²Ρ‚ΠΎΡ€Ρ‹Ρ…, это построСниС аналитичСских классификаций ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, систСматизация ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² ΠΈΡ… построСния, Ρ‡Ρ‚ΠΎ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ΡŒ провСсти качСствСнный Π°Π½Π°Π»ΠΈΠ· структуры Π΄Π°Π½Π½ΠΎΠ³ΠΎ сСгмСнта Ρ€Ρ‹Π½ΠΊΠ° Π² соврСмСнных условиях Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ экономики. Π’-Ρ‚Ρ€Π΅Ρ‚ΡŒΠΈΡ…, постоянноС ΡƒΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠ΅ систСмы статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, которая постоянно Π΄ΠΎΠ»ΠΆΠ½Π° Π΄ΠΎΠΏΠΎΠ»Π½ΡΡ‚ΡŒΡΡ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Π±Π»ΠΎΠΊΠ°ΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ ΡƒΠ²ΡΠ·Π°Ρ‚ΡŒ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости с показатСлями уровня ΠΆΠΈΠ·Π½ΠΈ насСлСния ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π° Π½Π° основС формирования ΠΈ упорядочСния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π΅Π΅ подсистСм, Ρ‡Ρ‚ΠΎ повысит ΠΈΡ… ΡΠΎΠ³Π»Π°ΡΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ с показатСлями уровня ΠΆΠΈΠ·Π½ΠΈ ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития. ЦСль: Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ‚Π΅ΠΎΡ€ΠΈΠΈ ΠΈ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ комплСксного изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π² части Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² раздСлСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° Π½Π° ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎ типологичСским ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ΠΈ построСниС Π½Π° ΠΈΡ… основС статистичСских классификаций, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Ρ… для структурного Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: Для получСния Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ познания, Ρ‚Π°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ научная абстракция, Π°Π½Π°Π»ΠΈΠ· ΠΈ синтСз, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ Ρ€Π°Π·Π±ΠΈΠ΅Π½ΠΈΠΈ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ Ρ†Π΅Π»ΠΎΠ³ΠΎ Π½Π° типологичСски ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ совокупности, органичная взаимосвязь ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ ΠΈ обСспСчиваСт Ρ†Π΅Π»ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ ΠΈ Сдинство ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° – ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Π½Π° протяТСнии всСй Ρ€Π°Π±ΠΎΡ‚Ρ‹ рассматриваСтся использованиС статистичСского ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΎΠΊ, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½ΠΎΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ типологичСских ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² формирования Π΅Π΄ΠΈΠ½ΠΈΡ† наблюдСния Π² ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: ΠžΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ‹ ΠΈ сформулированы основныС классификационныС ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости Ρ€Π΅Π³ΠΈΠΎΠ½Π°. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² типологичСского раздСлСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ статистичСскиС классификации, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Π΅ для всСстороннСго ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° структуры ΠΈ структурных сдвигов Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: Π’ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСны ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ½Ρ‹Π΅ аспСкты статистичСского изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π² части Π΅Π³ΠΎ этимологизации Π½Π° основС Ρ‡Ρ‘Ρ‚ΠΊΠΈΡ… ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΡ… ΠΏΠΎΠ½ΡΡ‚ΡŒ качСство ΠΈ свойства ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° Π½Π΅ΠΌ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ статистичСскиС классификации. Всё это являСтся шагом Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа статистичСского исслСдования Π² Ρ‚ΠΎΠΉ Π΅Π³ΠΎ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, которая классичСски рассматриваСтся ΠΎΠ±Ρ‰Π΅ΠΉ Ρ‚Π΅ΠΎΡ€ΠΈΠ΅ΠΉ статистики. БтатистичСскиС классификации ΠΈ Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠΈ ΠΏΠΎ типологичСским ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ΠΏΡ€Π΅Π΄ΡˆΠ΅ΡΡ‚Π²ΡƒΡŽΡ‚ Π½Π°ΡƒΠΊΠΎΠ΅ΠΌΠΊΠΎΠΌΡƒ обоснованию ΠΈ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡŽ слоТных ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΎ-статичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² для провСдСния Ρ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ прогнозирования ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

    Π‘Π’ΠΠ’Π˜Π‘Π’Π˜Π§Π•Π‘ΠšΠ˜Π• Π Π•Π‘Π£Π Π‘Π« И ΠœΠ•Π’ΠžΠ”Π« ΠŸΠ ΠžΠ“ΠΠžΠ—Π˜Π ΠžΠ’ΠΠΠ˜Π― ΠŸΠžΠšΠΠ—ΠΠ’Π•Π›Π― Π—ΠΠ ΠΠ‘ΠžΠ’ΠΠžΠ™ ΠŸΠ›ΠΠ’Π« ΠΠΠ•ΠœΠΠ«Π₯ Π ΠΠ‘ΠžΠ’ΠΠ˜ΠšΠžΠ’

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    The article is devoted to the formation of the original database and the justification of forecasting techniques for average monthly gross wages and salaries of employees at the regional level of the Russian Federation. The conceptual basis of the proposed approach in the article is a method of calculating the average monthly gross wages and salaries of employees in organizations, individual entrepreneurs and natural persons, introduced into the practice by the Federal State Statistics Service, in April 2016.Particular attention is given to forecast evaluation of wages in the formal and informal sectors of the economy based on the aggregation of different sources of information: statistical reporting and results of the federal sample surveys. The practical significance of the proposed algorithm is in its approbation on real statistical data for the Russian Federation and the city of Moscow.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Ρ‹ вопросы формирования исходной ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎ-статистичСской Π±Π°Π·Ρ‹, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΠΉ для расчСта показатСля срСднСмСсячной Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Ρ‹, ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°ΡŽΡ‚ΡΡ мСтодичСскиС ΠΏΡ€ΠΈΠ΅ΠΌΡ‹ прогнозирования этого показатСля Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ. Π’ качСствС ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ основы Π°Π²Ρ‚ΠΎΡ€Ρ‹ ΠΏΡ€Π΅Π΄Π»Π°Π³Π°ΡŽΡ‚ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΡƒ расчСта срСднСмСсячной номинальной начислСнной Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Ρ‹ Π½Π°Π΅ΠΌΠ½Ρ‹Ρ… Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² Π² организациях, Ρƒ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ физичСских Π»ΠΈΡ†, Π²Π²Π΅Π΄Π΅Π½Π½ΡƒΡŽ Π² ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Росстата Π² Π°ΠΏΡ€Π΅Π»Π΅ 2016 Π³.ОсобоС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΡƒΠ΄Π΅Π»Π΅Π½ΠΎ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡŽ вопросов ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Ρ‹ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΊ Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ ΠΈ Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ сСкторам экономики Π½Π° основС агрСгирования Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΠΏΠΎ ΠΎΡ…Π²Π°Ρ‚Ρƒ экономичСских Π΅Π΄ΠΈΠ½ΠΈΡ† рассматриваСмой статистичСской совокупности ΠΈ стСпСни статистичСской надСТности источников ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ: статистичСской отчСтности ΠΈ Π²Ρ‹Π±ΠΎΡ€ΠΎΡ‡Π½Ρ‹Ρ… обслСдований. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π² ΡΡ‚Π°Ρ‚ΡŒΠ΅ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° подтвСрТдаСтся Π΅Π³ΠΎ Π°ΠΏΡ€ΠΎΠ±Π°Ρ†ΠΈΠ΅ΠΉ Π½Π° Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹Ρ… статистичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ Π³ΠΎΡ€ΠΎΠ΄Ρƒ МосквС

    Π‘Π’ΠΠ’Π˜Π‘Π’Π˜Π§Π•Π‘ΠšΠ˜Π• Π Π•Π‘Π£Π Π‘Π« И ΠœΠ•Π’ΠžΠ”Π« ΠŸΠ ΠžΠ“ΠΠžΠ—Π˜Π ΠžΠ’ΠΠΠ˜Π― ΠŸΠžΠšΠΠ—ΠΠ’Π•Π›Π― Π—ΠΠ ΠΠ‘ΠžΠ’ΠΠžΠ™ ΠŸΠ›ΠΠ’Π« ΠΠΠ•ΠœΠΠ«Π₯ Π ΠΠ‘ΠžΠ’ΠΠ˜ΠšΠžΠ’

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    The article is devoted to the formation of the original database and the justification of forecasting techniques for average monthly gross wages and salaries of employees at the regional level of the Russian Federation. The conceptual basis of the proposed approach in the article is a method of calculating the average monthly gross wages and salaries of employees in organizations, individual entrepreneurs and natural persons, introduced into the practice by the Federal State Statistics Service, in April 2016.Particular attention is given to forecast evaluation of wages in the formal and informal sectors of the economy based on the aggregation of different sources of information: statistical reporting and results of the federal sample surveys. The practical significance of the proposed algorithm is in its approbation on real statistical data for the Russian Federation and the city of Moscow.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Ρ‹ вопросы формирования исходной ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎ-статистичСской Π±Π°Π·Ρ‹, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΠΉ для расчСта показатСля срСднСмСсячной Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Ρ‹, ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°ΡŽΡ‚ΡΡ мСтодичСскиС ΠΏΡ€ΠΈΠ΅ΠΌΡ‹ прогнозирования этого показатСля Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ. Π’ качСствС ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ основы Π°Π²Ρ‚ΠΎΡ€Ρ‹ ΠΏΡ€Π΅Π΄Π»Π°Π³Π°ΡŽΡ‚ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΡƒ расчСта срСднСмСсячной номинальной начислСнной Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Ρ‹ Π½Π°Π΅ΠΌΠ½Ρ‹Ρ… Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² Π² организациях, Ρƒ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ физичСских Π»ΠΈΡ†, Π²Π²Π΅Π΄Π΅Π½Π½ΡƒΡŽ Π² ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Росстата Π² Π°ΠΏΡ€Π΅Π»Π΅ 2016 Π³.ОсобоС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΡƒΠ΄Π΅Π»Π΅Π½ΠΎ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡŽ вопросов ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Ρ‹ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΊ Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ ΠΈ Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ сСкторам экономики Π½Π° основС агрСгирования Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΠΏΠΎ ΠΎΡ…Π²Π°Ρ‚Ρƒ экономичСских Π΅Π΄ΠΈΠ½ΠΈΡ† рассматриваСмой статистичСской совокупности ΠΈ стСпСни статистичСской надСТности источников ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ: статистичСской отчСтности ΠΈ Π²Ρ‹Π±ΠΎΡ€ΠΎΡ‡Π½Ρ‹Ρ… обслСдований. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π² ΡΡ‚Π°Ρ‚ΡŒΠ΅ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° подтвСрТдаСтся Π΅Π³ΠΎ Π°ΠΏΡ€ΠΎΠ±Π°Ρ†ΠΈΠ΅ΠΉ Π½Π° Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹Ρ… статистичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ Π³ΠΎΡ€ΠΎΠ΄Ρƒ МосквС

    ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΠΈ построСния систСмы ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ статистики насилия Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ

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    Despite the numerous achievements and success in various spheres of human activity, the modern civilization, unfortunately, has not yet been able to completely get rid of such a serious and shameful problem as violence against children. Not only in economically backward and developing countries, where numerous forms of infringement of the children’s rights have deep historical roots, but in the vast majority of the most developed countries of the world, violence against children has now acquired massive and catastrophic proportions. If we follow the ancient wisdom, that the maturity of any society emerges fully in terms of the relations that have developed in it with regard to the elderly and children, then a rather simple conclusion is drawn: the earth population has not yet reached the understanding of a number of eternal and simple truths. After all, any violent actions committed against children at present create objective and subjective prerequisites for the further reproduction of such actions in the future, but in relation to even younger generations. In this context, it is quite obvious that there is an urgent need to unite the efforts of the world community, states and individual citizens to stop and actively pursue any violent actions against children not only within the framework of existing legislation, but also in everyday life, where the moral support or condemnation are of great practical importance. In addition, there is an urgent need to develop special international and state projects and programs, aimed at protecting children’s rights and protecting them from any form of physical and spiritual violence. It is difficult to imagine a deep substantive justification of any measures to eliminate violence against children as a negative phenomenon of public life without a comprehensive quantitative description of such a unique object of research, which by definition is impossible without detailed and reliable statistical information. At present, obtaining such information causes great difficulties, which, naturally, creates additional obstacles to the knowledge of the true extent of the spread and consequences of the violence against children. For the above reasons, it is of great scientific and practical interest to improve the methodological foundations of statistical research on violence against children, implying both a clear interpretation of the subject of cognition and the development of a modern system of indicators that allows displaying various aspects of such a complex and negative social phenomenon. БоврСмСнная цивилизация, нСсмотря Π½Π° многочислСнныС достиТСния ΠΈ успСхи Π² самых Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… сфСрах чСловСчСской Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, ΠΊ соТалСнию, ΠΏΠΎΠΊΠ° Π½Π΅ смогла ΠΏΠΎΠ»Π½ΠΎΡΡ‚ΡŒΡŽ ΠΈΠ·Π±Π°Π²ΠΈΡ‚ΡŒΡΡ ΠΎΡ‚ Ρ‚Π°ΠΊΠΎΠΉ ΡΠ΅Ρ€ΡŒΠ΅Π·Π½ΠΎΠΉ ΠΈ постыдной ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ ΠΊΠ°ΠΊ насилиС Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ. НС Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π² экономичСски отсталых ΠΈ Ρ€Π°Π·Π²ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ…ΡΡ странах, Π³Π΄Π΅ многочислСнныС Ρ„ΠΎΡ€ΠΌΡ‹ ущСмлСния ΠΏΡ€Π°Π² Π΄Π΅Ρ‚Π΅ΠΉ ΠΈΠΌΠ΅ΡŽΡ‚ Π³Π»ΡƒΠ±ΠΎΠΊΠΈΠ΅ историчСскиС ΠΊΠΎΡ€Π½ΠΈ, Π½ΠΎ ΠΈ Π² ΠΏΠΎΠ΄Π°Π²Π»ΡΡŽΡ‰Π΅ΠΌ Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π΅ самых Ρ€Π°Π·Π²ΠΈΡ‚Ρ‹Ρ… стран Π·Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΡˆΠ°Ρ€Π° насилиС Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ сСгодня ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Π»ΠΎ массовыС ΠΈ катастрофичСскиС ΠΌΠ°ΡΡˆΡ‚Π°Π±Ρ‹. Если ΠΆΠ΅ ΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚ΡŒ Π΄Ρ€Π΅Π²Π½Π΅ΠΉ мудрости, ΠΏΠΎΠ΄Ρ€Π°Π·ΡƒΠΌΠ΅Π²Π°ΡŽΡ‰Π΅ΠΉ, Ρ‡Ρ‚ΠΎ Π·Ρ€Π΅Π»ΠΎΡΡ‚ΡŒ любого общСства Π² ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΌΠ΅Ρ€Π΅ проступаСт ΠΏΠΎ Ρ‚Π΅ΠΌ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡΠΌ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ слоТились Π² Π½Π΅ΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΊ старикам ΠΈ дСтям, Ρ‚ΠΎ Π½Π°ΠΏΡ€Π°ΡˆΠΈΠ²Π°Π΅Ρ‚ΡΡ достаточно простой Π²Ρ‹Π²ΠΎΠ΄ – зСмная популяция Π΅Ρ‰Π΅ Π½Π΅ дошла Π΄ΠΎ понимания Ρ†Π΅Π»ΠΎΠ³ΠΎ ряда Π²Π΅Ρ‡Π½Ρ‹Ρ… ΠΈ простых истин. Π’Π΅Π΄ΡŒ Π»ΡŽΠ±Ρ‹Π΅ Π½Π°ΡΠΈΠ»ΡŒΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ дСйствия, осущСствляСмыС Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ Π² настоящСм, ΡΠΎΠ·Π΄Π°ΡŽΡ‚ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹Π΅ ΠΈ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹Π΅ прСдпосылки для дальнСйшСго воспроизводства ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Ρ… дСйствий Π² пСрспСктивС, Π½ΠΎ ΡƒΠΆΠ΅ ΠΏΠΎ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ ΠΊ Π΅Ρ‰Π΅ Π±ΠΎΠ»Π΅Π΅ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹ΠΌ поколСниям. Π’ этом контСкстС ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½Π½ΠΎ ΠΎΡ‡Π΅Π²ΠΈΠ΄Π½ΠΎ, Ρ‡Ρ‚ΠΎ сущСствуСт насущная ΠΏΠΎΡ‚Ρ€Π΅Π±Π½ΠΎΡΡ‚ΡŒ Π² объСдинСнии усилий ΠΌΠΈΡ€ΠΎΠ²ΠΎΠ³ΠΎ сообщСства, государств ΠΈ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… Π³Ρ€Π°ΠΆΠ΄Π°Π½ для Ρ‚ΠΎΠ³ΠΎ, Ρ‡Ρ‚ΠΎΠ±Ρ‹ Π»ΡŽΠ±Ρ‹Π΅ Π½Π°ΡΠΈΠ»ΡŒΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ дСйствия Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ Π±Ρ‹Π»ΠΈ ΠΏΡ€Π΅ΠΊΡ€Π°Ρ‰Π΅Π½Ρ‹ ΠΈ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ ΠΏΡ€Π΅ΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈΡΡŒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π³ΠΎ Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°, Π½ΠΎ ΠΈ Π² повсСднСвной ΠΆΠΈΠ·Π½ΠΈ, Π³Π΄Π΅ Π·Π°Ρ‡Π°ΡΡ‚ΡƒΡŽ просто ΠΌΠΎΡ€Π°Π»ΡŒΠ½Π°Ρ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠ° ΠΈΠ»ΠΈ осуТдСниС ΠΈΠΌΠ΅ΡŽΡ‚ большоС практичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, ощущаСтся острая Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… ΠΈ государствСнных ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΎΠ² ΠΈ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ, ΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π½Π° соблюдСниС ΠΏΡ€Π°Π² Π΄Π΅Ρ‚Π΅ΠΉ, ΠΈΡ… Π·Π°Ρ‰ΠΈΡ‚Ρƒ ΠΎΡ‚ проявлСния Π»ΡŽΠ±Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ физичСского ΠΈ Π΄ΡƒΡ…ΠΎΠ²Π½ΠΎΠ³ΠΎ насилия. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΠ΅Ρ‚ΡΡ, Ρ‡Ρ‚ΠΎ Π³Π»ΡƒΠ±ΠΎΠΊΠΎΠ΅ ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ обоснованиС Π°Π±ΡΠΎΠ»ΡŽΡ‚Π½ΠΎ Π»ΡŽΠ±Ρ‹Ρ… мСроприятий ΠΏΠΎ Π»ΠΈΠΊΠ²ΠΈΠ΄Π°Ρ†ΠΈΠΈ насилия Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ, ΠΊΠ°ΠΊ Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ явлСния общСствСнной ΠΆΠΈΠ·Π½ΠΈ, слоТно ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²ΠΈΡ‚ΡŒ Π±Π΅Π· всСстороннСй количСствСнной характСристики ΡΡ‚ΠΎΠ»ΡŒ своСобразного ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° исслСдования, которая ΠΏΠΎ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ Π½Π΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Π° Π±Π΅Π· ΠΏΠΎΠ΄Ρ€ΠΎΠ±Π½ΠΎΠΉ ΠΈ достовСрной статистичСской ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ. Π’ настоящСС врСмя ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Ρ… свСдСний Π²Ρ‹Π·Ρ‹Π²Π°Π΅Ρ‚ большиС трудности, Ρ‡Ρ‚ΠΎ, СстСствСнно, создаСт Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΏΡ€Π΅Π³Ρ€Π°Π΄Ρ‹ Π½Π° ΠΏΡƒΡ‚ΠΈ познания истинных ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΎΠ² распространСния ΠΈ послСдствий насилия Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ. По ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹ΠΌ Π²Ρ‹ΡˆΠ΅ ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π°ΠΌ большой Π½Π°ΡƒΡ‡Π½Ρ‹ΠΉ ΠΈ практичСский интСрСс прСдставляСт ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠ΅ мСтодологичСских основ статистичСских исслСдований насилия Π½Π°Π΄ Π΄Π΅Ρ‚ΡŒΠΌΠΈ, ΠΏΠΎΠ΄Ρ€Π°Π·ΡƒΠΌΠ΅Π²Π°ΡŽΡ‰Π΅Π΅ ΠΊΠ°ΠΊ Ρ‡Π΅Ρ‚ΠΊΠΎΠ΅ Ρ‚ΠΎΠ»ΠΊΠΎΠ²Π°Π½ΠΈΠ΅ самого ΠΏΡ€Π΅Π΄ΠΌΠ΅Ρ‚Π° познания, Ρ‚Π°ΠΊ ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ соврСмСнной систСмы ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π΅ΠΉ ΠΎΡ‚ΠΎΠ±Ρ€Π°Π·ΠΈΡ‚ΡŒ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ стороны ΠΈ аспСкты ΡΡ‚ΠΎΠ»ΡŒ слоТного ΠΈ Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ общСствСнного явлСния.

    Natural coordinate system for the transport equation in cylindrical geometry

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    Development of statistical classifications to study the content and structure of the primary real estate market

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    Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. Therefore, the issues of constant adaptation of statistical methodology in relation to the primary real estate market are relevant continuously. Among the tasks that are constantly in the field of statistical science and practice in relation to the primary real estate market are the following. First, a critical analysis of the content of the modern primary real estate market, which should allow to identify its fundamental features as an object of statistical research, to systematize the economic relations of the subjects of this market segment for a comprehensive statistical analysis of its functioning and development in any region of Russia. Secondly, it is the construction of analytical classifications of the primary real estate market, systematization of criteria for their construction, which should allow for a qualitative analysis of the structure of this market segment in the modern market economy. Third, the continuous improvement of the system of statistical indicators of the primary real estate market, whichΒ should be constantly supplemented by various blocks of indicators, the use of which will link the development of the primary real estate market with indicators of the standard of living of the population and socio-economic development of a particular region on the basis of the formation and ordering of its various subsystems, which will increase their consistency with indicators of living standards and socio-economic development. To Develop the theory and statistical methodology of the complex study of the primary real estate market in terms of the development of criteria for the division of the object into homogeneous groups by typological characteristics and the construction on their basis of statistical classifications necessary for the structural analysis of the primary real estate market. To obtain scientific results in this article, General scientific methods of cognition, such as scientific abstraction, analysis and synthesis, are used, since it is a question of dividing a single whole into typologically homogeneous complexes, the organic relationship between which ensures the integrity and unity of the studied object – the primary real estate market. In addition, the use of the statistical grouping method is considered throughout the work, as it is an applied application of typological criteria. The main classification features of economic assets traded in the primary real estate market of the region are Substantiated and formulated. The development of criteria for the typological division of the object allowed to build statistical classifications necessary for a comprehensive analysis of the structure and structural changes in the primary real estate market. In the scientific article deals with the problematic aspects of a statistical study of the primary real estate market in parts of its etymology on the basis of clear criteria against which to understand the quality and properties of the traded on its economic assets, to build a statistical classification. All this is a step in the first stage of the statistical study in the sequence that is classically considered by the General theory of statistics. Statistical classifications and groupings by typological features precede the science-intensive substantiation and application of complex mathematical and static methods for factor analysis and forecasting of primary real estate market indicators

    Poly-model complex in the information and analytical environment of the Situation Centre

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    Objective.Β The aim of this study is to develop proposals for improving decision support system, as a subsystem of information and analytical support of the Situation Centre, allowing to increase the validity, accuracy and reliability of decisions taken in modeling semi-structured systems (large-scale economic, organizational, technical or social systems), operating in conditions of significant uncertainty of the external environment and internal factors.Materials and methods.Β The basis of the study is a new paradigm the need for integration and convergence of various approaches and models (situation, simulation, expertise, cognitive, semiotic etc.), Software environments and technical solutions in the construction of information-analytical systems of Situation Centres. The analysis made it possible to justify the expediency of applying poly-model complexes with formalized decision-making procedures as part of decision support systems. When solving the problem of choosing the most preferable model, the main properties of models are evaluated, such as adequacy (qualitative and quantitative), simplicity and optimality, flexibility (adaptability), universality and problem orientation of the model. The joint use of heterogeneous models in the composition of a poly-model complex makes it possible to increase the accuracy and reliability of solving the problem of choosing the most preferable model of the object of investigation.Results.Β The necessity of integration and convergence of various approaches and models (situation, simulation, expertise, cognitive, semiotic and others) is presented in the construction of intelligent decision-making support system for the Situation Centre. Expediency description of the object under study by a set of heterogeneous and composite models with the possibility of accounting for the structural dynamics of the modeling object (organizational-technical, socio-economic systems, etc.) is shown, as well as adaptation of the modes with changes for the research object and then comparing the results obtained. An approach based on the use of poly-model complex is proposed, consisting of information analysis system of the Situation Centre that provides the synthesis of an adequate model of the study object. For this purpose, additional elements are introduced in the composition parameters and structures (redundancy) allowing for the direct use of the model to control the quality of the model, to ensure its robustness (insensitivity to changes in composition, structure and content of the original data).Β The conclusion.Β The article discusses proposals for improving the decision support system for the Situation Center, using poly-model complexes with formalized decision-making procedures. The advantage of poly-model complex is a possibility of solving the same problems with the use of different models and then comparing the results obtained, a description of the object under study by the set of heterogeneous and composite models, the possibility of taking into account the structural dynamics of the modeling object (organizational, technical, social and economic systems, and others) as well as adaptation of the model taking into account changes in the research object. The developed proposals are aimed at increasing the accuracy and reliability of the results of modeling of weakly structured systems for the validity of management decisions. The obtained results can be used to improve the scientific and methodological support of the functioning of decision support systems as an integral part of the nformation and analytical system of the Situation Centre

    Peculiarities of construction of the system of indicators of the statistics of violence over children

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    Despite the numerous achievements and success in various spheres of human activity, the modern civilization, unfortunately, has not yet been able to completely get rid of such a serious and shameful problem as violence against children. Not only in economically backward and developing countries, where numerous forms of infringement of the children’s rights have deep historical roots, but in the vast majority of the most developed countries of the world, violence against children has now acquired massive and catastrophic proportions. If we follow the ancient wisdom, that the maturity of any society emerges fully in terms of the relations that have developed in it with regard to the elderly and children, then a rather simple conclusion is drawn: the earth population has not yet reached the understanding of a number of eternal and simple truths. After all, any violent actions committed against children at present create objective and subjective prerequisites for the further reproduction of such actions in the future, but in relation to even younger generations. In this context, it is quite obvious that there is an urgent need to unite the efforts of the world community, states and individual citizens to stop and actively pursue any violent actions against children not only within the framework of existing legislation, but also in everyday life, where the moral support or condemnation are of great practical importance. In addition, there is an urgent need to develop special international and state projects and programs, aimed at protecting children’s rights and protecting them from any form of physical and spiritual violence. It is difficult to imagine a deep substantive justification of any measures to eliminate violence against children as a negative phenomenon of public life without a comprehensive quantitative description of such a unique object of research, which by definition is impossible without detailed and reliable statistical information. At present, obtaining such information causes great difficulties, which, naturally, creates additional obstacles to the knowledge of the true extent of the spread and consequences of the violence against children. For the above reasons, it is of great scientific and practical interest to improve the methodological foundations of statistical research on violence against children, implying both a clear interpretation of the subject of cognition and the development of a modern system of indicators that allows displaying various aspects of such a complex and negative social phenomenon

    К вопросу ΠΎ ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠΈ статистичСского наблюдСния цСнностСй ΠΊΠ°ΠΊ Π²ΠΈΠ΄Π° Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ²

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    This article is devoted to the subjects of development of the directions of works on enhancement of federal statistical supervision over values. It concerns such essential units attributable to national wealth of the state as museum funds, antiques, unique collections, works of the fine arts, fund of Gokhran, diamond fund, etc. Creation of balance of assets and liabilities shall happen in the real market prices considering a large number of the parameters determining historical value of values. Research is connected with development of methodical recommendations about accounting and an assessment of values as economic assets for creation of balance of assets and liabilities. In article the main methodological problems of accounting and an assessment of values at the macrolevel are considered. The particular emphasis in article is placed on the organization of federal statistical supervision over structure and movement of values by reporting, as well as by interdepartmental flows of primary statistical information. All stages of works on the organization of accounting of values and to forming of the relevant statistical reporting are described in detail.Данная ΡΡ‚Π°Ρ‚ΡŒΡ посвящСна вопросам Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ Ρ€Π°Π±ΠΎΡ‚ ΠΏΠΎ ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡŽ Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ статистичСского наблюдСния Π·Π° цСнностями. На сСгодняшний дСнь отсутствуСт Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹ΠΉ ΡƒΡ‡Π΅Ρ‚ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ БНБ ΠΊΠ°ΠΊ цСнности. Π­Ρ‚ΠΎ касаСтся Ρ‚Π°ΠΊΠΈΡ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ², относимых ΠΊ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ богатству, ΠΊΠ°ΠΊ ΠΌΡƒΠ·Π΅ΠΉΠ½Ρ‹Π΅ Ρ„ΠΎΠ½Π΄Ρ‹, Π°Π½Ρ‚ΠΈΠΊΠ²Π°Ρ€ΠΈΠ°Ρ‚, ΡƒΠ½ΠΈΠΊΠ°Π»ΡŒΠ½Ρ‹Π΅ ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ, произвСдСния ΠΈΠ·ΠΎΠ±Ρ€Π°Π·ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ искусства, Π€ΠΎΠ½Π΄ Π“ΠΎΡ…Ρ€Π°Π½Π°, Алмазный Ρ„ΠΎΠ½Π΄ ΠΈ Π΄Ρ€. По мнСнию Π°Π²Ρ‚ΠΎΡ€ΠΎΠ², ΠΏΡ€ΠΈ построСнии баланса Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² ΠΈ пассивов Π² Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹Ρ… Ρ€Ρ‹Π½ΠΎΡ‡Π½Ρ‹Ρ… Ρ†Π΅Π½Π°Ρ… Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°Ρ‚ΡŒ большоС количСство ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ², ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‰ΠΈΡ… ΠΈΡΡ‚ΠΎΡ€ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ цСнностСй. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ исслСдования стали мСтодичСскиС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ ΡƒΡ‡Π΅Ρ‚Ρƒ ΠΈ способам измСрСния цСнностСй ΠΊΠ°ΠΊ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² для составлСния баланса Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² ΠΈ пассивов. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСны основныС мСтодологичСскиС ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ ΡƒΡ‡Π΅Ρ‚Π° ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ цСнностСй Π½Π° ΠΌΠ°ΠΊΡ€ΠΎΡƒΡ€ΠΎΠ²Π½Π΅. ΠžΡΠΎΠ±Ρ‹ΠΉ Π°ΠΊΡ†Π΅Π½Ρ‚ Π² ΡΡ‚Π°Ρ‚ΡŒΠ΅ сдСлан Π½Π° ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΡŽ Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ статистичСского наблюдСния Π·Π° составом ΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ цСнностСй ΠΊΠ°ΠΊ посрСдством отчСтности ΠΎΠ±Ρ‰Π΅Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π°, Ρ‚Π°ΠΊ ΠΈ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ мСТвСдомствСнных ΠΏΠΎΡ‚ΠΎΠΊΠΎΠ² ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ статистичСской ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ. ΠžΡ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Π½Ρ‹ всС этапы Ρ€Π°Π±ΠΎΡ‚ ΠΏΠΎ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ ΡƒΡ‡Π΅Ρ‚Π° цСнностСй ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ статистичСской отчСтности
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