<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In recent decades, Fuzzy Time Series (FTS) has become a competitive, sometimes complementary, approach to classical time series methods such as that of Box-Jenkins. This study has two different purposes: a theoretical purpose, presenting an overview of the fuzzy logic and fuzzy time series models, and a practical purpose, which is to estimate and forecast monthly international coffee prices during the period 2000-2022. Analysing and forecasting the dynamics of coffee prices is of great interest to producers, consumers, and other market actors in managing and making rational decisions. The findings showed that international coffee prices exhibited significant fluctuations, with large increases and decreases influenced mainly by the level of top-ranked producers. The forecasted results revealed that a decrease in prices during the next six months (Jan 2023 to June 2023) is expected. Based on the results, it is also clear that the FTS models are more flexible and can be applied in forecasting time-series variables. At the same time, volatility and, sometimes, the unexpected swingsin coffee prices continue to draw more criticism and raise different issues regarding the roles of the markets and countries in ensuring food security.</p>
</abstract>

Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices

<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The aim of the article is to show the impact of the COVID-19 pandemic on the living situation of large families. The study paid particular attention to the economic and housing problems, as well as the mental condition and challenges related to remote learning. The study was primarily empirical. The article presents the results of quantitative research extended by a catalogue of open questions, together with the results of research conducted by the “Three Plus” Association of Large Families in May 2020. Statistical methods were used to analyse the data. The living conditions (in most of the examined dimensions) of most families with many children deteriorated during the pandemic. The most important problems faced by such families were primarily related to the labour market (employment and running a business), and housing (related to a deterioration of the mental condition of family members). However, the families also indicated closer family relations, caused by forced isolation and slowed-down pace of life (lack of commuting, additional activities, and other activities outside the home). Overall, families with more children, and those living in smaller flats experienced the most difficult situation.</p>
</abstract>

Impact of the COVID-19 Pandemic on the Situation of Large Families in Poland

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Econometrics

Volume 26 (2022): Issue 4 (December 2022)

Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices

Impact of the COVID-19 Pandemic on the Situation of Large Families in Poland

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