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19.08.2020 01:00 •  Английский язык

ответить на вопросы к тексту (см.ниже). 1. what problems are economists interested in? 2. what are three main approaches to economics? 3. what specialized areas of economics do you know? 4. why do economists use economic models? 5. why is it not possible to include all the details in a model? 6. what does a model usually include? 7. which of the models docs an economist always choose? 8. why is it necessary for an economist to collect and study actual data? текст: текст 1. what is economics? it is difficult to give a full and accurate definition of economics, but it is possible to indicate what problems economists are interested in. they are factors that affect prices of goods and services and also resources necessary to produce them. economists are also interested in sellers' and buyers' behaviour in the market, in the relationship between "price system" and "market mechanism". now economics is more complex. there are three main approaches to economics: microeconomics, macroeconomics, and development economics. there are also several specialized areas of study. among them are money economics, international economics, labour economics, industrial economics, agricultural economics, growth economics, mathematical economics, etc. like many other sciences, economics uses models to understand economic problems. a model often helps an economist to make correct predictions. the economist usually follows several rules when he makes a model of economic behaviour. first, real life is complex and it is not possible for an economist to include alt the details in a model. so, a model is an abstraction from real life. a model usually includes only essential elements and relationships of a particular economic situation. second, if an economist has two different models of one phenomenon, he always chooses the model that predicts the results of a particular phenomenon more accurately. third, although models are helpful in economic analysis, an economist always studies the actual economic situation before he makes decisions. it is not enough to make models, it is also necessary to collect and study actual data in order to know how accurate a model is.