Autor: Baran, Paweł - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: ICA and ICS-based rankings of EU countries according to quality of mirror data on intra-Community trade in goods in the years 2014-2017
Autorzy:: Markowicz, Iwona
Baran, Paweł
Powiązania:: https://bibliotekanauki.pl/articles/19090893.pdf
Data publikacji:: 2019
Wydawca:: Instytut Badań Gospodarczych
Tematy:: official statistics data quality
mirror data
intra-Community trade
EU
Opis:: Research background: As a system of official EU statistics, Intrastat contains data collected by Member States aggregated by Eurostat on the Union's level in the form of COMEXT database. Country-level data are based on declarations made by businesses dispatching or acquiring goods from other EU Member States. Since the same transaction is declared twice - as an ICS in one country and at the same time as an ICA in another country by the partner - the database contains mirror data. Analysis of mirror data lets us assess the quality of public statistics data on international trade. Purpose of the article: The aim of the article is to rank EU Member States according to quality of data on intra-Community trade in goods collected by Intrastat. Foreign trade stimulates economic development on one hand and is the development's reflection on the other. Thus it is very important that official statistics in this area be of good quality. Analysis of mirror data from partner states in intra-Community trade in goods allows us to claim that not every Member State pro-vides data of satisfactory quality level. Methods: We used the authors' methodology of assessing quality of mirror data. These include data asymmetry indices, both proposed by Eurostat and the authors' own proposals. We have also examined the changes in the above mentioned rankings over time. Findings & Value added: The result of the survey is ordering of EU Member States according to the quality of data on intra-Community trade in goods. The rankings are presented for the period of 2014-2017, during which there were 28 Member States of the EU. Changes in distinct countries' positions were shown as a result of changes in overall quality of statistical data collected in these countries. The research methodology can be used in the process of monitoring data quality of the Intrastat system.
Źródło:: Oeconomia Copernicana; 2019, 10, 1; 55-68
2083-1277
Pojawia się w:: Oeconomia Copernicana
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Mirror data asymmetry in international trade by commodity group: the case of intra-Community trade
Autorzy:: Markowicz, Iwona
Baran, Paweł
Powiązania:: https://bibliotekanauki.pl/articles/19233724.pdf
Data publikacji:: 2021
Wydawca:: Instytut Badań Gospodarczych
Tematy:: intra-Community trade
mirror data
Comext
quality of data
Opis:: Research background: Transactions in international trade of goods are recorded in two sources, on the side of the seller's country and on the side of the buyer's country. The confrontation of such data makes it possible to measure their quality. An inconsistency between the data is called mirror data asymmetry. Purpose of the article: The aim of the paper is to adapt the methods developed by the Authors to study mirror data asymmetry to commodity group markets examination. The quality of data on trade within specific commodity groups (CN chapters) in intra-Community trade was compared. The data were aggregated by country. The indicators used allow for the indication of commodity groups with high mirror data compatibility and those with data asymmetry between intra-Community supplies (ICS) and acquisitions (ICA). Moreover, the commodity groups for which the value-based and quantity-based approaches give different results have been identified. Methods: Based on the literature on the subject and their own research, the Authors have developed a group of methods for studying the asymmetry of mirror data. The proposed indicator formulas are based on various data aggregation approaches. The research used data on intra-Community supplies and acquisitions of goods broken down into 97 chapters of the Combined Nomenclature (CN). Differences between the ICS and ICA in particular commodity groups were aggregated for all pairs of EU countries. The data comes from the Comext database, provided by Eurostat. Findings & value added: The results of the analysis are rankings of the Combined Nomenclature (CN) chapters by the quality of data on ICS and ICA. Lists of CN chapters have been created for discrepancies both in value and weight of goods. Thus, areas of necessary intensification of the work of public statistics services to improve data reliability were identified.
Źródło:: Oeconomia Copernicana; 2021, 12, 4; 889-905
2083-1277
Pojawia się w:: Oeconomia Copernicana
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Quality of INTRASTAT DATA. Comparison Between the ‘Old’ and the ‘New’ EU Member States
Jakość danych w systemie INTRASTAT. Porównanie krajów „starej” i „nowej” UE
Autorzy:: Markowicz, Iwona
Baran, Paweł
Powiązania:: https://bibliotekanauki.pl/articles/658787.pdf
Data publikacji:: 2019
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:: jakość danych statystyki publicznej
dane lustrzane
handel wewnątrzwspólnotowy
UE
official statistics data quality
mirror data
intra-Community trade
EU
Opis:: W systemie INTRASTAT zbierane są dane statystyczne dotyczące wymiany towarowej między krajami UE. Eurostat agreguje dane pochodzące z poszczególnych państw członkowskich. Specyfika procesu pozyskiwania danych różni się w poszczególnych krajach, w związku z czym dane lustrzane (dotyczące w założeniu tych samych transakcji, odnotowanych w statystyce kraju wywozu i kraju przywozu) często się nie pokrywają. Celem przeprowadzonych analiz była ocena jakości danych o wewnątrzunijnej wymianie towarowej krajów „starej” piętnastki i „nowych” członków UE ze wskazaniem, które kierunki w największym stopniu wpłynęły na występowanie obserwowanych różnic w danych lustrzanych. Artykuł jest kontynuacją badań jakości danych dotyczących handlu zagranicznego.
The Intrastat system is used for gathering statistical data on trade in goods between the EU Member States. Data from all the Member States are aggregated by Eurostat. Specifics of the data collection process are different in different countries and that is why mirror data (regarding by default the same transactions revealed in statistics of both the acquirer and supplier country) often do not match. The goal of the analysis conducted was to assess the quality of data on intra‑Community trade in goods between the ‘old’ fifteen and the ‘new’ EU Member States as well as to point out these directions that influenced the observed differences in mirror data the most. The paper is a follow‑up of previous research on the quality of foreign trade data.
Źródło:: Acta Universitatis Lodziensis. Folia Oeconomica; 2019, 2, 341; 69-80
0208-6018
2353-7663
Pojawia się w:: Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Discrepancies between mirror data on intra-Community trade: the case of Poland
Rozbieżności w handlu wewnątrzwspólnotowym: przypadek Polski
Autorzy:: Markowicz, Iwona
Baran, Paweł
Powiązania:: https://bibliotekanauki.pl/articles/424927.pdf
Data publikacji:: 2020
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: intra-Community trade
official statistics
mirror data
handel wewnątrzunijny
statystyka publiczna
dane lustrzane
Opis:: The content presented in the article is a continuation of the research on the quality of data concerning intra-Community trade. Several measures used in literature to assess differences between mirror data are presented. The research was inspired by the works by Morgenstern (1963), Federico and Tena (1991), and Ferrantino and Wang (2008). These previous works contain some directions on how Intrastat data should be analysed. Based on this the analysed data on intra-Community trade in goods for 2017. The dynamics of intra-Community trade were also examined. The obtained results can be utilised by practitioners from both the domain of official statistics and the revenue authorities. In the article discrepancies in data on Polish foreign trade are studied in the context of Poland-EU partner country (bilateral relations) and Poland-EU partners (one-to-many relations). The aim of the article is to compare the results of selected literature studies with those obtained on the basis of the analysis of the latest data on intra-Community trade in Poland (mainly in 2017) and EU member states.
Prezentowane w artykule treści są kontynuacją badań prowadzonych nad jakością danych dotyczących handlu wewnątrzwspólnotowego. Studia literaturowe pozwoliły na wskazanie propozycji oceny poziomu jakości danych. Inspiracją do przeprowadzonych badań były publikacje autorów takich jak: Morgenstern (1963), Federico i Tena (1991) oraz Ferrantino i Wang (2008). To w nich znaleziono pewne wskazówki. Na tej podstawie analizie poddano dane dotyczące obrotu towarowego między krajami unijnymi w 2017 roku. Zbadano także zmiany zachodzące w czasie. Wyniki takich badań mogą być wykorzystane w zakresie zarówno statystyki publicznej, jak i podatkowym. W artykule podjęto temat analizy rozbieżności danych w handlu Polski w relacjach Polska–kraj UE (relacje dwustronne) i Polska–kraje UE (relacja kraj–kraje, nazwana zagregowaną). Celem badania jest porównanie wyników wybranych badań literaturowych z wynikami uzyskanymi na podstawie analizy najnowszych danych dotyczących obrotu wewnątrzwspólnotowego Polski (głównie 2017 rok) oraz krajów unijnych.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2020, 24, 1; 1-11
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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