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Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper presents a special, direct methodology regularly applied in the Baltic countries to measure the size of the shadow economy. The same approach had been applied in Hungarian data collections in 2016 and 2017. Besides presenting the results, the patterns of nonresponse are also in focus. The Shadow Economy Index (SEI) is based on a direct survey of companies to estimate the size of the shadow economy as a proportion of a given country's GDP (Gross Domestic Product). Direct approaches are mainly avoided by researchers on this topic because of its sensitive nature. Response rates are usually low because concealing the information is just „natural" regarding shadow activities. The SEI approach uses several techniques to maximize the responses: the survey is run as a face-toface interview; they ask company owners/managers; the questions are related to the industry and not directly to the firm. Still, nonresponse can be notable. In the second part of the paper, I determine the main patterns of nonresponse based on the two Hungarian surveys. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The aim of this paper is to present the main steps of the meta-analysis when applying the Cohen's d effect size indicator in a one-sample context. In the paper, the authors use a database from a real survey as an example, through which they describe the database structure for the analysis, the steps to determine the overall effect size indicator, the interpretation of the results and a possible approach to explain heterogeneity between studies (subgroup analysis). Although the paper describes the main steps of the method in a relatively simple structure, focuses only on the analysis based on Cohen's d effect size in a one-sample context. It is important to emphasise that, depending on the research question, different effect size indicators may need to be calculated and the complexity of the analysis can be much more in-depth. [ABSTRACT FROM AUTHOR]

Carbon costs impact both the input side of economic sectors, as fossil inputs are used as raw materials, and the output side, as CO2 emissions are paid for in the form of emission allowances. The effectiveness of climate policies depends heavily on the total cost of fossil inputs and emissions, but the input side has typically been ignored so far. The aim of this paper is to present a model that quantifies the total private costs associated with the carbon use of economic sectors. The model presented in this paper is based on an environmentally extended input-output analysis. Total private carbon costs include costs associated with fossil inputs, including both energy and non-energy use, as well as costs associated with carbon emissions. China provides an instructive example, as its economy is heavily dependent on fossil energy sources. The results of the presented model highlight the problem of conflicting energy and climate policies. Reductions in input-side costs may offset the rising costs of carbon emission costs enforced by the climate policy. This article represents a stride in that direction. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Software development can clearly be classified as one of the most dynamically developing areas of the R & D sector. The development of a country's R & D sector is well characterized by the wages of workers in this sector, among other things. That is the reason for examining the factors that contribute to the salary of a Hungarian software developer in our paper. We have analysed the data collected by the Stack Overflow Annual Developer Survey by applying traditional econometric models. By utilizing Blinder–Oaxaca-decomposition, the endowment and discrimination effects of a university degree on programmer salaries are analysed in detail. In our paper, respondents who are members of the Stack Overflow user community are considered to be programmers. These specialists are mostly software or web developers or system operators. Our results, among others, highlight the important role of the interaction between coding experience and knowledge of modern technologies in the wages of Hungarian programmers. Extensive experience in an outdated technology can even have a wage-reducing effect. Furthermore, our results indicate that in Hungary it is still authoritative if a programmer has at least a bachelor's degree. Based on our model, the average salary of programmers who did not graduate from university is expected to be 7% lower than that of their counterparts with a bachelor’s degree. Examined separately, almost no programming language has wage-increasing effect on its own. However, the number of programming languages a person knows or wants to learn has a significantly positive effect on salaries. Due to the shortage of IT workers in Hungary, it is probably sufficient for employers if an employee has already gained coding experience in an arbitrary language and has basic algorithmic thinking, so they can easily be retrained to program in the language desired by the employer. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The explosion of digital technologies marks the beginning of a new industrial revolution. Digitalization has transformed not only our everyday lives, but also the entrepreneurial processes. We are now seeing the integration of digital and entrepreneurial ecosystems at the heart of the digital revolution with the rapid rise of platform organisations. We aim to track this integration using the Digital Entrepreneurial Ecosystem (DEE) Index developed in Szerb et al. (2022). In the paper, we present the structure of the DEE index and the steps to calculate the composite indicator. Our study focuses on a comparative analysis of Hungary's digital entrepreneurship ecosystem, identifying its strengths and weaknesses for the period 2020-2022. The reference European countries were grouped into six categories, with Hungary being selected as one of the Central and Eastern European (CEE) EU members. In the DEE Index ranking of 170 countries in 2022, Denmark was at the top of the ranking, with the US second. Hungary is ranked 36th, 23rd in the EU, with Poland, Croatia, Romania and Bulgaria trailing behind in the CEE countries. The four sub-indices, twelve pillars and 24 variables of the DEE Index are used to analyze the Hungary's digital entrepreneurship ecosystem profile. While we are relatively well placed in terms of laying the foundations of the digital economy and developing the physical infrastructure, the benefits of the platform economy are hindered by the relatively low number of fintech firms and the low level of digital skills of the population, while the diffusion and adoption of digital technologies is hampered by the digitalization deficiencies at the business level. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Lee--Carter model is one of the most popular models for mortality forecasting, but machine learning solutions are increasingly popular in actuarial science. In recent years, authors have tried to forecast mortality rates with different types of neural networks. This paper introduces these neural network approaches on Hungarian mortality rates between age 0 and 99 from 1950 to 2020. We use the classical Lee--Carter model and LSTM neural networks for mortality modeling. Our paper analyses the residuals by age group and calendar year on the test set (from 2005 to 2020) and compares the results of the Lee--Carter and LSTM models. Our results show that LSTM networks give more accurate forecasts on Hungarian mortality data. With these forecasts, one can reconsider the expectations about the pension system or improve the accuracy of actuarial calculations. [ABSTRACT FROM AUTHOR]

In this paper the forecast uncertainty of the Hungarian electricity system load is investigated using Gaussian Mixture Regression. The description of the heteroskedastic behaviour of electricity load based on the Gaussian Mixture Model is very straightforward, but in the literature its application to the modelling of nonlinear (and interaction) relationships is first and foremost considered. This can be explained, among other things, by the fact that the need for explicit modelling of uncertainty in electricity load has become really pronounced in recent years. It is shown that Gaussian Mixture Regression captures well the prediction uncertainty of electricity load, which also exhibits strong seasonal behaviour similar to the variation of it. The calculations are implemented in the open source Python programming language. [ABSTRACT FROM AUTHOR]

While optimal monetary policy is theoretically recognized to provide food price stability, the empirical evidence about this effect is limited, especially in the countries of the European Union and within this in Central and Eastern Europe. This paper investigates the role of monetary policy shocks on food inflation in Hungary over the period January 2007 to November 2022. Hungary is a good case study because of its higher than average share of food in the consumer basket in the EU. Using a quantile regression analysis, we find that neither monetary policy nor the exchange rate has an effect on food inflation across quantiles. However, inflation plays a significant role in driving food price increases. The global food price index increases food price inflation in the lower quantile. The results are robust to different specifications and measures of variables. [ABSTRACT FROM AUTHOR]

GDP has always been at the center of development policy and of professional and public interest in general. At the same time, the approach to the production and consumption side of GDP is carried out according to different evaluation principles during the accounting of individual items, and it is also suitable for showing the effects of indirect relationships, which complicates the analysis. The paper presents the application of the standard net export method to account for the GDP contribution of final demand, as well as the so-called ’attribution-methods’, in which the import content of final demand is deducted from the contributions. Furthermore, we have developed a method that considers product taxes on domestic and imported products as the GDP contribution of exporting sectors and supplier sectors. The calculation methodology is highly dependent on available data and assumptions about supply chains. To calculate these supply chains, we used the NeumannSraffa model, which allows for twin production and alternative technologies, using the Hungarian input-output tables (IOTs) and the Hungarian and French supply and use tables for the year 2019. As a result of the calculations, we present a cross-tabulation of GDP contributions according to final use categories and sectors in their supply chain, which includes the supply- and demand-side approach to GDP contributions in a novel, integrated way. [ABSTRACT FROM AUTHOR]

In our paper, based on the 2016 microcensus occupational supplementary survey, we seek to answer the question of which occupations are the most inconsistent in today's Hungary, and what is the meaning of the inconsistency of these occupations. In contrast to traditional prestige surveys, we are not investigating how respondents perceive the occupations on the basis of a dimension with no clear content, but we are interested in the basis of prestige ranking, how the dimensions shaping prestige are combined, and what inconsistencies can be observed in these combinations. Our aim is to understand the patterns of these inconsistencies by comparing the occupations prestige items ranked along different dimensions. This will give us an insight into how the Hungarian population thins about occupations, through them, about the stratification of society. [ABSTRACT FROM AUTHOR]

At the end of the Hungarian hyperinflation period of 1945-1946, the precise calculation of the inflation of customer prices never took place due to introduction of forint that detracted attention and resources. Although ample raw data are available from resources of the period, but inaccuracy and inconsistency can be frequently found among them due the requirements of daily measurements and the calculation limitations of the day. This paper accommodates the debt of 76 years when it intends to reconstruct the actual inflation rate of the period with data cleaning, computerbased calculations and precision, also presenting new results, and putting an end to many misconceptions. Based on the results we can conclude that the Hungarian hyperinflation of 1946 is not the highest in history because it was exceeded by the one in Zimbabwe in 2008. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)