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Facing economic growth in real life As a senior staff member of the Reserve Bank of Australia. (RBA) you are invited to discuss long run

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Facing economic growth in real life As a senior staff member of the Reserve Bank of Australia. (RBA) you are invited to discuss long run economic growth around the world. In particular, you are concerned about the growth rates starting in 19930 (including 1990 in your calculations) for a large group of countries. In your report you need to address the following questions: 6. . Which country had the. highest GDP per-capita in 2021'? Which country had the lowest? What was the value. for Australia? . Which country had the highest average growth rate of GDP per-capita in the last 11 years from 2020 (i.e., from 2010 until 2020 inclusive)? Notice that some countries may not have enough data. to obtain this information. Ignore these cases. Hint: pay close attention to the formula discussed in the textbook to calculate average growth rates. . Using the average. growth rate of the country you found in part (2), calculate how many years the. country with the smallest GDP per-capita would take to \"catch up\" to the level of GDP per capita. of the highest country. Assume that the country with the highest GDP per capita. does not grow at all in this period. Round your answer to the highest integer. . Calculate. the answer to part (3) if the country with the highest GDP percapita grows at 0.50:: p.a. What about if the growth rate is 0.0%? Round your answers to the. highest integer. Would you say the 0.9 percentage point difference from (3) to (4) in the average growth rate is an important difference'.' as a policymaker interested in improving the standard of living of the ones you govern, which of these two rates would you prefer? Using the dataset, replicate. gure (3.5) of the textbook for Australia. Make sure to use all the years from 1990 onwards. To prepare report, are advised to visit the Word Bank's website (https://(lata.worldbank.org/) and collect data on GDP per capita (PPP, constant 2017 international 3) for all countries in their dataset. Make sure to collect data for all years they have available. Download the. data on Microsoft- Excel\") (or equivalent) and remove all years until 108$) (keep 1990 onwards). The dataset comes with a few extra information on regions and other administrative regions at the. very bottom (e.g., Arab countries, Low Income, Euro Area). Be mindful of those when answering the following questions. Note' . do not need to prepare a report, just answer the questions but. show all calculations

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