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Dylematy związane z estymacją dominanty wynagrodzeń

100%
Błażej M., Gosińska E.
Wiadomości Statystyczne. The Polish Statistician
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2022
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vol. 67
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issue 12
62-79
EN
The mode of wages and salaries is an important indicator describing their distribution; however, due to the strong asymmetry of the distribution of this feature in Poland, mode estimation is not a standard procedure in the analysis of the structure of wages and salaries. The aim of the article is to discuss selected methods of estimating the mode and to compare the mode estimation results obtained by means of various methods. The research is based on data on individual gross wages and salaries registered in October 2018 in Poland. The data came from a survey of the structure of wages and salaries conducted by Statistics Poland. In the case of the standard method based on the interpolation formula and histogram, the mode estimate is sensitive to the assumed span of intervals in the frequency table and the beginning of the first interval. Reducing the span of the intervals causes the mode to reach the value of the minimum wage. The application of advanced methods, including those using a kernel estimator, leads to significantly different estimates of the mode depending on the method used (the dispersion reaches the value of approximately PLN 800). Additionally, the analysis of the obtained results gives grounds to considering a thesis that wage and salary distribution is a mixture of the following distributions: discrete (for the minimum wage) and continuous (for wages and salaries above the minimum wage), and is characterised by cyclicality (in Poland, more contracts offer remunerations which are a multiple of PLN 50 or PLN 100 than remunerations for other amounts).
PL
Dominanta wynagrodzeń to ważny wskaźnik opisujący rozkład wynagrodzeń, ale ze względu na silną asymetrię rozkładu tej cechy w Polsce jej wyznaczenie nie należy do standardowych działań w analizie struktury wynagrodzeń. Celem artykułu jest omówienie wybranych metod szacowania dominanty oraz porównanie wyników jej estymacji otrzymanych za pomocą różnych metod. Wykorzystano dane o wynagrodzeniach indywidualnych brutto w październiku 2018 r. pochodzące z badania struktury wynagrodzeń przeprowadzonego przez Główny Urząd Statystyczny. W przypadku metody standardowej, wykorzystującej wzór interpolacyjny i histogram, wartość oszacowanej dominanty jest wrażliwa na założoną rozpiętość przedziałów w szeregu rozdzielczym i początek pierwszego przedziału. Zmniejszanie rozpiętości przedziałów powoduje dążenie dominanty do wartości równej płacy minimalnej. Zastosowanie zaawansowanych metod statystycznych, m.in. wykorzystujących estymator jądrowy, prowadzi do otrzymania znacząco różnych oszacowań dominanty w zależności od metody (rozrzut wyników wynosi ok. 800 zł). Analiza otrzymanych wyników daje ponadto podstawy do rozważenia tezy, że rozkład wynagrodzeń jest mieszany: ma cechy rozkładu dyskretnego dla wynagrodzeń w wysokości płacy minimalnej i ciągłego – dla wynagrodzeń powyżej płacy minimalnej oraz odznacza się cyklicznością (w Polsce zawiera się więcej umów, w których kwota wynagrodzenia jest wielokrotnością 50 zł lub 100 zł, niż umów na inne kwoty).
2
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KLEMS growth accounting implemented in Poland

100%
Kotlewski D., Błażej M.
Statistics in Transition new series
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2020
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vol. 21
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issue 1
95-122
EN
The aim of the article is to present the main body of the KLEMS growth accounting recently implemented in Poland. The works on the KLEMS productivity accounting in Poland started in 2013 and focused on areas such as the development of methodology and the availability and assessment of data. These efforts enabled preparing KLEMS data sets pertaining to the Polish economy and moreover proved that unavailable data can be effectively estimated. Additionally, interesting but complex and debatable results were obtained, such as labour hoarding together with remunerations' freezing around the 2009 crisis, accompanied by a natural drop in the capital contribution growth and an increase in the MFP contribution, which most probably indicated effective reorganizations in the economy. In the years 2012-2014, increasing labour and capital contributions did not fully translate into gross value added growth, which led to negative MFP growths, as these are calculated residually. This, however, changed completely in the last two years of the time span covered by the research, namely in 2015-2016. An industry-level analysis became also possible, showing that the Polish economy was developing dynamically and undergoing intensive modernisation, which was obtained, however, with a debatable contribution of the State. To study the debatable features of the Polish economy in a greater detail, a further decomposition of the labour factor growth into four sub-factor contributions instead of two sub-factor contributions was performed. This additional analysis confirmed that labour hoarding phenomenon specific for Poland contributed to a softer impact of the 2007-09 financial crisis on this country’s economy.
3
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Substitution between production factors and intermediate inputs in the light of KLEMS growth accounting for Poland

100%
Kotlewski D., Błażej M.
Przegląd Statystyczny
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2021
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vol. 68
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issue 2
1-19
EN
The generally adopted view is that the gross-output-based MFP is the most correct in terms of methodology, and the value-added-based MFP is its imperfect substitute performed when some data are missing. In this paper, however, performing both of them and comparing their results is proposed as a valuable means to studying the development of outsourcing in the economy. The paper presents the elaboration of the methodology for the latter, which is its main contribution to the field. The case of the Polish economy is used as an applicative example (covering the period between 2005 and 2016), as KLEMS growth accounting has recently been implemented in Poland. The results demonstrate that around the year 2011, the expansion of outsourcing ceased. Since outsourcing was one of the main processes of the Polish transition, this observation can be considered as an indication of the maturing of the market economy in Poland. Moreover, KLEMS growth accounting makes it possible to study this issue through NACE activities, i.e. at the industry level. It shows that manufacturing (section C of NACE) is predominantly responsible for the situation described above, which is the main empirical finding of the study. The dominant role of manufacturing is also confirmed by some other sectoral observations of lesser importance. The methodology developed in this paper can potentially be applied to other countries for which both kinds of MFP are performed.
4
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Implementation of KLEMS Economic Productivity Accounts in Poland

100%
Kotlewski D. C., Błażej M.
Acta Universitatis Lodziensis. Folia Oeconomica
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2018
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vol. 2
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issue 334
PL
Celem artykułu jest pokazanie, w jaki sposób zrealizowano rachunek produktywności gospodarki KLEMS dla Polski. Głównym problemem badawczym było znalezienie sposobu uporania się ze specyficznym dla kraju niedostatkiem danych. W związku z tym postawiono hipotezę, że dzięki pewnym innowacyjnym, ale akceptowalnym technikom oszacowania brakujących danych możliwe jest dostarczenie odpowiednich danych do tego rachunku dla Polski. Po zaprezentowaniu podstawowych informacji o rachunku produktywności gospodarki KLEMS oraz metodologii w artykule pokazano, jak zostały rozwiązane specyficzne problemy, które ujawniły się z danymi.
EN
The aim of the article is to demonstrate how the KLEMS economic productivity accounts for Poland have been performed. The main research problem was to find solutions to certain country‑specific data insufficiencies. On this basis, a hypothesis was put forward that by using some innovative but acceptable missing data assessment techniques, it is possible to supply sufficient data for Poland for the mentioned accounts. After an overview of KLEMS economic productivity accounts and the relevant fundamental methodology, the article presents further how specific data problems that have arisen have been solved.    
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