Practice 3.1 Measuring economic activities with authentic IB Economics exam questions for both SL and HL students. This question bank mirrors Paper 1, 2, 3 structure, covering key topics like microeconomics, macroeconomics, and international trade. Get instant solutions, detailed explanations, and build exam confidence with questions in the style of IB examiners.
Nepal is a landlocked country in South Asia with an estimated population of 29 million. Agriculture remains central to the economy, accounting for about 27% of gross domestic product (GDP) and employing a sizeable proportion of the workforce. However, the country also relies heavily on tourism and remittances from migrant workers abroad, which make up more than 25% of Nepal’s total GDP. Nepal has been seeking to diversify its economy through foreign direct investment (FDI) in energy, infrastructure, and services.
In 2020, Nepal’s GDP stood at US$29.3 billion. By 2021, it had increased to US$30.5 billion, partly due to post-pandemic economic recovery and continued growth in the tourism sector. Official unemployment figures in Nepal are relatively low, but underemployment remains a major issue, especially in rural areas. The country’s Gini coefficient is estimated at 0.32, indicating moderate income inequality, though rural–urban disparities still persist. Nepal’s tax system includes both direct and indirect taxes; the highest marginal rate for personal income tax is approximately 30%.
The tourism sector is vital. Trekking permits, especially for the Annapurna, Everest, and Langtang regions, represent a key source of government revenue. Due to recent changes in permit fees and fluctuations in tourism numbers, local businesses have experienced varying levels of income from trekking-related services.
Table 1: Labour market data in Nepal (2021)
| Population (millions) | Labour force (millions) | Employed (millions) | Unemployed (millions) |
|---|---|---|---|
| 29 | 16.0 | 15.6 | 0.4 |
Table 2: Trekking permit data for Nepal
| Year | Average permit price (USD) | Number of permits sold |
|---|---|---|
| 2021 | 50 | 150 000 |
| 2022 | 60 | 120 000 |
Using the information in Table 1, calculate the official unemployment rate in Nepal for 2021.
Using the data provided in the text, calculate Nepal’s real GDP growth rate from 2020 to 2021. Show your working.
Using information from Table 2, calculate the price elasticity of demand for trekking permits in Nepal when the average permit price increases from US$50 to US$60.
Using information from Table 2, calculate the change in total revenue from trekking permit sales between 2021 and 2022.
Define the term “Keynesian multiplier.”
Using an AD/AS diagram, explain how an increase in foreign direct investment might affect real output in Nepal in the short run.
Using information from Table 1, calculate the labour force participation rate in Nepal for 2021.
Using information from the text, explain how income inequality could act as a constraint on Nepal’s economic growth.
Using the text/data provided and your knowledge of economics, recommend a policy which could be implemented by the government of Nepal in order to promote sustainable economic growth.
Albania is a country in Southeastern Europe with an estimated population of about 2.8 million in 2022. The Albanian economy has been transitioning from a centrally planned system to a market-based system and has experienced positive real GDP growth in recent years. Tourism is a significant contributor to Albania’s GDP, and the government has intensified efforts to promote the country’s attractions along its Adriatic and Ionian coasts.
In 2022, Albania’s unemployment rate was around 12%, partly due to structural challenges in the economy. The government operates a progressive personal income tax system, with rates ranging from 0% up to 23%. Corporate income tax is set at 15%. Value-added tax (VAT) on most goods and services stands at 20%.
Albania’s trade balance remains negative, as the country’s main exports (textiles, footwear, and mineral fuels) have not kept pace with imports (machinery, food, and manufactured goods). The government has embarked on several infrastructural projects to attract foreign investment and reduce transport costs, including a newly announced US$200 million investment in highways. Economists estimate the marginal propensity to consume (MPC) in Albania to be about 0.8.
Table 1: Selected Macroeconomic Indicators for Albania
| Year | Real GDP (billion US$) | Unemployment Rate (%) | Gini Coefficient |
|---|---|---|---|
| 2021 | 15.2 | 11.5 | 0.30 |
| 2022 | 16.0 | 12.0 | 0.31 |
Table 2: Tourism Data in Albania (2022)
| Price per Tour Package (EUR) | Quantity Demanded of Tour Packages (thousands) |
|---|---|
| 400 | 140 |
| 450 | 120 |
Using the information provided in Table 1, calculate the percentage change in Albania’s real GDP between 2021 and 2022.
The Albanian government’s US$200 million highway project is expected to raise national income through the Keynesian multiplier, assuming the marginal propensity to consume (MPC) is 0.8. Calculate the total increase in national income that could result from this project.
Using the data in Table 2, calculate the price elasticity of demand (PED) for Albania’s tour packages when the price increases from EUR 400 to EUR 450.
Using the data in Table 1, calculate the absolute change in the unemployment rate between 2021 and 2022.
Define the term “progressive tax.”
Using an AD/AS diagram, explain how an increase in government spending on infrastructure could affect real GDP in Albania.
Using information from Table 1, calculate the approximate percentage change in Albania's Gini coefficient between 2021 and 2022. Show your working.
Using information from the text, explain how a persistent trade deficit might impact Albania’s economic growth.
Using the text/data provided and your knowledge of economics, recommend a policy which the government of Albania could implement in order to reduce unemployment.
Guatemala is a Central American country with an estimated population of 17.9 million (2022). According to World Bank data, real GDP was approximately US$85 billion in 2022. Agriculture, particularly coffee, sugar, and bananas, makes up a significant portion of Guatemala’s exports (around 28% of total exports). While the tourism sector has been expanding, recent global events caused slowdowns. The country experiences persistent inequality, with a Gini coefficient estimated at about 0.48 in 2021. Poverty remains a major concern, especially in rural areas.
Guatemala’s tax system includes both direct and indirect taxes, although collection remains challenging. Personal income tax rates are progressive, with a top rate of 31%, while the corporate income tax rate is 25%. A value-added tax (VAT) of 12% applies to most goods. Government spending has focused on infrastructure and social programs to reduce poverty and increase potential long-term growth.
Table 1: Macroeconomic Indicators of Guatemala (2019–2022)
| Year | Real GDP (US$ bn) | Nominal GDP (US$ bn) | Exports of Goods & Services (US$ bn) | Government Spending (US$ bn) |
|---|---|---|---|---|
| 2019 | 76.0 | 78.2 | 11.5 | 11.8 |
| 2020 | 73.5 | 75.0 | 10.2 | 12.1 |
| 2021 | 78.4 | 81.0 | 12.4 | 12.3 |
| 2022 | 85.0 | 88.0 | 13.5 | 13.2 |
Table 2: Income Distribution in Guatemala (2021)
| Quintile | Income share |
|---|---|
| 1 (lowest 20%) | 4.1% |
| 2 | 9.0% |
| 3 | 15.0% |
| 4 | 24.0% |
| 5 (highest 20%) | 47.9% |
Table 3: Market for Guatemalan Coffee in the US (price per 50 kg bag)
| Price per 50 kg bag | Quantity Demanded (tons) | Quantity Supplied (tons) |
|---|---|---|
| $110 | 900 | 550 |
| $120 | 850 | 600 |
| $130 | 800 | 650 |
| $140 | 750 | 700 |
| $150 | 700 | 740 |
Table 4: Tax Rates in Guatemala
| Type of tax | Rate of tax |
|---|---|
| Corporate income tax | 25% |
| Personal income tax | Progressive up to 31% |
| Value Added Tax (VAT) | 12% on most goods; some items taxed at 0% |
Figure 1 (not drawn here) shows that, when government spending in Guatemala increases by US$1 billion, real GDP rises by an estimated US$2.5 billion. This suggests a government spending multiplier of 2.5.
Using the information in Table 1, calculate the real GDP growth rate from 2021 to 2022.
Using Figure 1, the government spending rises by US$1 billion, yet real GDP rises by US$2.5 billion. Calculate the government spending multiplier and explain the main step used in your calculation.
Using the information in Table 3, calculate the price elasticity of demand (PED) for Guatemalan coffee when the price rises from US$120 to US$130 per 50 kg bag.
Using the information in Table 3, calculate the price elasticity of supply (PES) for Guatemalan coffee when the price increases from US$140 to US$150 per 50 kg bag.
Define the term “progressive tax.”
Using an AD/AS diagram, explain how an increase in government spending might increase real GDP and reduce unemployment in Guatemala.
Using the data in Table 3, calculate the approximate equilibrium price for Guatemalan coffee. Show your working.
Using information from Table 2, explain two ways in which high income inequality might hamper economic development in Guatemala.
Using the text/data provided and knowledge of economics, recommend a policy that the government of Guatemala could implement to reduce income inequality. Justify the recommendation.
Explain the income, output, and expenditure approaches to national income accounting.
Using real-world examples, discuss the view that national income statistics are of limited use.
Italy is the third-largest economy in the Eurozone, with one of the highest levels of public debt in the world (approximately 150 % of GDP in 2021). Despite having a diversified manufacturing sector and being one of the world’s largest wine exporters, Italy has faced persistent challenges, including relatively low growth, high structural unemployment, and regional disparities between the more industrialized North and the agricultural South.
According to the World Bank, Italy’s real GDP grew by 3.9 % in 2022, following a rebound in economic activity after significant pandemic-related contractions. Tourism accounts for about 13 % of GDP, while wine exports, led by regions such as Veneto and Tuscany, play a significant role in the country’s trade balance. However, youth unemployment remains high, and income inequality, measured by the Gini coefficient, remains a concern for policymakers.
Tble 1: Selected Macroeconomic Indicators of Italy (2019–2022)
| Year | Real GDP (billion €) | Real GDP Growth (%) | Unemployment Rate (%) | Gini Coefficient | Public Debt (% of GDP) |
|---|---|---|---|---|---|
| 2019 | 1,770 | 0.3 | 10.0 | 0.33 | 135 |
| 2020 | 1,650 | -8.9 | 11.4 | 0.34 | 155 |
| 2021 | 1,740 | 6.6 | 10.2 | 0.34 | 151 |
| 2022 | 1,808 | 3.9 | 9.5 | 0.35 | 150 |
Table 2: Distribution of Income in Italy by Quintile (estimates for 2022)
| Quintile | Percentage of Total Income |
|---|---|
| Top 20 % | 35 |
| Second 20 % | 22 |
| Third 20 % | 18 |
| Fourth 20 % | 15 |
| Bottom 20 % | 10 |
Italy’s fiscal policy is characterized by a progressive income tax system, where the tax rate increases with higher incomes. Meanwhile, corporations face an average of 24 % corporate tax. The government has struggled to foster high-growth rates due to constrained public finances and the need to manage its large debt burden.
Table 3: Market for Italian Wine Exports (2022)
| Price per Bottle (€) | Quantity Demanded (million bottles) |
|---|---|
| 5 | 200 |
| 6 | 180 |
Producers of Italian wine benefit from strong demand in foreign markets. However, increasing global concerns about inflation and supply chain disruptions have impacted production costs, especially for small wineries. The table above shows data for two different price points in the export market for Italian wine.
Using the information in Table 1, calculate Italy’s real GDP growth rate from 2021 to 2022 in € terms.
Using the data in Table 2, calculate the combined share of total income earned by the top 40% of income earners in 2022.
Using the information in Table 3, calculate the price elasticity of demand (PED) for Italian wine when the price increases from €5 to €6 per bottle (use the midpoint formula).
Assume producers’ total revenue changes correspondingly with the price change from €5 to €6. Using the information in Table 3, calculate the percentage change in total revenue.
Define the term “Keynesian multiplier.”
Using an AD/AS diagram, explain how a decrease in consumer confidence might affect real output in Italy.
Using the information in Table 1, calculate the average annual real GDP growth rate in Italy between 2020 and 2022.
Using the information in Table 1 and the text above, explain two reasons why high public debt might hamper long-term economic growth in Italy.
Using the text/data provided and knowledge of economics, recommend one policy which the government of Italy could implement to reduce the persistently high youth unemployment rate.
Estonia is a small Baltic nation of approximately 1.3 million people and a member of the European Union (EU). Its economy is characterized by a highly developed digital infrastructure, a strong commitment to innovation, and comparatively low public debt. The country has seen notable growth in service sectors such as tourism and information technology (IT). Estonia is also known for its relatively low level of corruption and ease of doing business.
In recent years, Estonia’s GDP growth has fluctuated. Between 2018 and 2019, real GDP grew steadily due to robust exports of IT services and growth in inbound tourism. However, the global economic slowdown in 2020 led to lower tourism revenues, affecting the country’s overall economic performance. Income inequality has been an area of focus for policymakers, given Estonia’s Gini coefficient has been moderate but slowly increasing. The government maintains several forms of taxation (including VAT, personal income tax, and corporate taxation), each contributing differently to government revenue.
Tourism is an important source of income, especially from visitors from Finland, Russia, and other EU countries. Average spending per tourist has tended to rise, but so have accommodation and transportation costs. The price elasticity of demand for inbound tourism is not negligible, as changes in travel costs and exchange rates influence tourist flows.
Estonia’s taxation system includes a flat personal income tax rate of 20%, although there are discussions about introducing progressive elements. VAT rates vary depending on the product category. Meanwhile, the government has contemplated expansionary fiscal measures to offset slower growth periods. Policymakers also debate the efficacy of supply-side policies (such as reducing labor taxes and encouraging business start-ups) to maintain Estonia’s competitiveness in the global digital economy.
Table 1: Selected Macroeconomic Indicators for Estonia (2018–2021)
| Indicator | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Real GDP (billion euros) | 26.0 | 27.2 | 26.5 | 29.0 |
| Real GDP Growth Rate (%) | 4.5 | 4.3 | -2.9 | 8.2 |
| Unemployment Rate (%) | 5.4 | 4.4 | 6.8 | 6.0 |
| Gini Coefficient | 0.31 | 0.32 | 0.33 | 0.34 |
Table 2: Estimated Demand for Inbound Tourism (annual)
| Average Price per Trip (euros) | Quantity of Trips Demanded (thousands) |
|---|---|
| 300 | 325 |
| 330 | 280 |
Table 3: Government Tax Data (2021)
| Type of Tax | Rate | Annual Revenue (million euros) |
|---|---|---|
| Personal Income Tax | 20% (flat) | 1,880 |
| Corporate Tax | 20% on distributed profit | 800 |
| Value-Added Tax (VAT) | Standard rate: 20% | 2,200 |
Table 4: Consumption and Multiplier Data (2021)
| Aggregate Income (Y) (billion euros) | Marginal Propensity to Consume (MPC) |
|---|---|
| 28.0 | 0.75 |
Using information from Table 2, calculate the price elasticity of demand for inbound tourism in Estonia when the average price per trip increases from €300 to €330.
Using the data in Table 1, calculate Estonia’s average annual real GDP growth rate over the period 2018 to 2021. Show all your working.
Using information from Table 1, calculate the percentage change in the Gini coefficient from 2018 to 2021.
Using Table 4, calculate the Keynesian (simple) multiplier for Estonia.
Define the term “progressive tax.”
Using an AD/AS diagram, explain how a significant increase in Estonia’s IT services exports might affect real GDP and the price level in the short run.
Using the data from Table 3, calculate what percentage of Estonia's total tax revenue comes from personal income tax. Show your working.
Using information from the text and Table 1, explain two ways in which Estonia’s rising income inequality could affect its long-term economic development.
Using the text/data provided and your knowledge of economics, recommend a policy that the Estonian government could implement to maintain strong economic growth while addressing rising income inequality.
Hong Kong is an international financial center located on the southern coast of China. Renowned for its open trading environment and large foreign exchange reserves, Hong Kong has historically pursued free-market policies to spur economic growth. However, recent challenges, including sluggish global demand and ongoing demographic shifts, have contributed to concerns about rising income inequality and persistent poverty. The government reports that 15.8% of the population (over 1.1 million people) live below the official poverty line, which is defined relative to median household income. In addition, Hong Kong’s Gini coefficient remains among the highest in developed economies, at around 0.539 in 2021.
Hong Kong’s role as an entrepôt for Chinese exports and as a major financial hub has driven its economic growth over several decades. Services make up close to 93% of GDP, while manufacturing accounts for only 1% of GDP. The region’s unemployment rate has typically been low, hovering around 2.9% in normal times. However, certain sectors particularly tourism and hospitality experienced a downturn due to global movements in travel restrictions and changing consumer behavior. This contributed to a slight pick-up in the overall unemployment rate to 4.7% by 2021.
The government maintains a near-balanced budget, attributable in part to revenue sources such as profits tax, stamp duties on real estate transactions, and land lease sales. Nevertheless, there is growing debate on whether Hong Kong’s minimal social welfare spending is sufficient to address structural poverty. Some argue that targeted subsidies and cash transfers are needed to prevent low-income households, especially the elderly, from slipping into deeper poverty. Indeed, the government launched a pilot scheme in 2020 offering housing vouchers to households below 60% of median income, claiming initial success in reducing homelessness by 15%.
Hong Kong also faces macroeconomic challenges. Real GDP growth decelerated from 3.0% in 2018 to -1.2% in 2019, before contracting again in 2020 due to global economic disruptions. By 2021, real GDP marked a modest recovery of 2.5%. Inflation remained relatively low, averaging 1.6% in 2021, owing partly to subdued consumer demand. At the same time, the Hong Kong Monetary Authority (HKMA) employs a currency board system pegging the Hong Kong dollar to the US dollar, which limits the use of independent monetary policy instruments.
In response to developmental concerns, the government has initiated programs focused on skill enhancement and vocational training to prevent the formation of a “poverty cycle,” where poor access to education and health-care perpetuates low wages and limited economic mobility. A new Child Development Fund aims to provide means-tested asset-building accounts for underserved youth, while strong emphasis is also being placed on technology upskilling and English language proficiency to enhance employability in service-oriented sectors.
Despite these measures, Hong Kong’s open economy leaves it exposed to global trade fluctuations. Exporters face falling demand from some of Hong Kong’s key markets, even as rising regional competition for port and logistics services puts additional pressure on trade revenues. On the other hand, foreign direct investment (FDI) inflows rose to HKD 1.1 trillion in 2021, reflecting sustained investor confidence in Hong Kong’s legal framework and financial markets. Policymakers must navigate a tight balance between preserving Hong Kong’s “small government, big market” tradition and addressing socioeconomic gaps that threaten long-term development.
Below are selected data illustrating the economy’s performance and its social challenges.
Table 1: Hong Kong’s Selected Macroeconomic Indicators (2018–2021)
| Indicator | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Nominal GDP (HKD billion) | 2,660 | 2,645 | 2,500 | 2,650 |
| Real GDP Growth Rate (%) | 3.0 | -1.2 | -6.1 | 2.5 |
| Inflation Rate (%) | 2.4 | 2.9 | 0.3 | 1.6 |
| Unemployment Rate (%) | 2.8 | 3.3 | 6.2 | 4.7 |
| Current Account Balance (%GDP) | 4.5 | 2.1 | 5.0 | 4.8 |
Table 2: Poverty and Development Indicators for Hong Kong
| Indicator | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Official Poverty Rate (%) | 14.9 | 14.6 | 15.3 | 15.8 |
| Gini Coefficient | 0.537 | 0.539 | 0.539 | 0.539 |
| Share of Services in GDP (%) | 92 | 92 | 93 | 93 |
| FDI Inflows (HKD trillion) | 1.0 | 1.02 | 1.05 | 1.1 |
| Govt. Welfare Spending (%GDP) | 3.7 | 3.8 | 3.9 | 4.0 |
Define the term “currency board system” mentioned in the text (paragraph 4).
Define the term “poverty line” mentioned in the text (paragraph 2).
Using information from Table 1, calculate the change in Hong Kong’s nominal GDP (in HKD billion) from 2019 to 2021.
Sketch an AD/AS diagram to show how changes in consumer demand might have influenced Hong Kong’s inflation rate between 2019 and 2021, referring to the data provided in Table 1.
Using a labor market diagram, explain how the government’s vocational training initiatives (paragraph 5) might affect wages and unemployment for low-skilled workers in Hong Kong.
Using a demand and supply of currency diagram, explain how rising FDI inflows (Table 2) could affect the exchange rate of the Hong Kong dollar under a freely floating system (hypothetically, if not for the currency board arrangement).
Using a Lorenz curve diagram, explain the significance of Hong Kong maintaining a high Gini coefficient as shown in Table 2.
Using a poverty cycle diagram, explain how limited access to quality education and health-care (paragraph 5) could perpetuate poverty for certain households in Hong Kong.
Using information from the text/data and your knowledge of economics, discuss the impact of Hong Kong’s open trade policies on its economic growth and development, particularly in view of the rising income inequality and persistent poverty rate.
Denmark is a highly developed economy in Northern Europe with a population of about 5.9 million. It boasts one of the highest standards of living in the world, supported by a broad-based welfare system and progressive taxation. The service sector, advanced manufacturing, and renewable-energy technology form key parts of its economy. Denmark’s central bank has maintained low interest rates, helping to foster economic stability. However, challenges such as ensuring long-term sustainability of the welfare system and addressing potential future energy shortfalls remain.
Exports are crucial for Denmark’s economic success, with wind turbines, pharmaceuticals, and meat products contributing significantly to export revenues. Wind turbine manufacturers in Denmark have become global leaders, but recent shifts in global demand and competition from Asian producers have tested the capacity of local firms. Meanwhile, a high rate of personal and corporate income tax has provided funds for extensive public expenditure, including education, healthcare, and infrastructure.
Table 1: Selected Macroeconomic Indicators for Denmark (2022–2023)
| Indicator | 2022 | 2023 (est.) |
|---|---|---|
| Nominal GDP (billion DKK) | 2,350 | 2,485 |
| Real GDP growth rate (%) | 2.1 | 3.0 |
| Inflation rate (%) | 5.5 | 2.8 |
| Unemployment rate (%) | 4.5 | 4.2 |
| Government spending (billion DKK) | 860 | 920 |
| Marginal propensity to consume (MPC) | 0.8 | 0.8 |
| Gini coefficient (after taxes/transfers) | 0.27 | 0.26 |
Table 2: Market for Wind Turbines Produced in Denmark
| Price per turbine (DKK) | Quantity Demanded (units per year) | Quantity Supplied (units per year) |
|---|---|---|
| 10,000,000 | 100 | 60 |
| 11,000,000 | 90 | 65 |
| 12,000,000 | 84 | 68 |
| 15,000,000 | 75 | 72 |
Table 3: Income Distribution in Denmark (2022)
| Income Group | Income Range (DKK/year) | Proportion of Households (%) |
|---|---|---|
| Lowest 20 % | 0 – 240,000 | 20 |
| Second 20 % | 240,001 – 400,000 | 20 |
| Third 20 % | 400,001 – 600,000 | 20 |
| Fourth 20 % | 600,001 – 850,000 | 20 |
| Highest 20 % | Above 850,000 | 20 |
Table 4: Overview of Tax Rates in Denmark
| Tax Category | Rate (% of taxable income / value) |
|---|---|
| Corporate income tax | 22 |
| Top personal income tax | 52 |
| Standard VAT rate | 25 |
| Reduced VAT rate | 15 |
In 2023, an energy-infrastructure firm in Denmark is planning a major investment worth 1.2 billion DKK, and claims it could significantly boost the economy by generating additional consumption expenditures.
Wind Turbine Exports
Denmark exported 70 units of wind turbines at an average price of 11,000,000 DKK per unit to other European countries in 2022. Owing to rising demand for renewable energy worldwide, the price of wind turbines exported from Denmark is expected to rise from 11,000,000 DKK to 12,000,000 DKK per unit in 2023. However, global competition from producers in Asia might cause changes in the quantity demanded.
Using information from Table 1, calculate the real GDP growth (in billion DKK) from 2022 to 2023 for Denmark.
Based on Table 2, estimate the price elasticity of supply (PES) for wind turbines in Denmark when the price increases from 11,000,000 DKK to 12,000,000 DKK per turbine.
Using information from the text, calculate the change in the total value of Denmark’s wind turbine exports when the price rises from 11,000,000 DKK to 12,000,000 DKK per unit, assuming the quantity exported remains constant at 70 units.
Using the data from Table 3, calculate what proportion of total households earn above 400,000 DKK per year. [
Define the term “Keynesian multiplier.”
Using an aggregate demand and aggregate supply (AD/AS) diagram, explain how the planned 1.2 billion DKK infrastructure investment by the energy-infrastructure firm could affect real output and the price level in Denmark.
Using information from Table 4, calculate the corporate income tax that would be paid by a Danish company with taxable profits of 50 million DKK. Show your working.
Using information from the text and Table 4, explain one way in which Denmark’s progressive tax system (top personal tax rate of 52 %) may help reduce income inequality.
Using the text/data provided and knowledge of economics, recommend a policy that the government of Denmark could implement to increase its long-term economic growth, while ensuring external competitiveness.
Estonia is a small, high-income European country with a population of around 1.33 million. The Estonian economy is highly open, with exports accounting for a large share of its GDP. In 2021, Estonia’s real GDP was approximately €34.5 billion, growing by 8.0%, while the 2022 figure rose to €36.4 billion, with real GDP growth of 3.5%. Over the same period, the unemployment rate declined from 6.2% to 5.6%.
Estonia is known for its advanced digital infrastructure, which has attracted investment in technology and services. However, inflation surged in 2022 due to global supply pressures and increased energy prices. Estonia has a relatively low level of income inequality compared to many countries, as measured by its Gini coefficient, which improved slightly from 0.31 in 2021 to around 0.30 in 2022.
Estonia’s tax system is characterized by a flat personal income tax rate of 20% and a 20% corporate tax on distributed profits. The government also raises revenue through value-added tax (VAT) at 20%, excise duties, and social security contributions of 33%. The timber industry plays a significant role in Estonian exports; higher prices for timber have contributed to fluctuations in export earnings.
Below are three tables presenting selected data for the Estonian economy:
Table 1: Selected Macroeconomic Indicators for Estonia (2021–2022)
| Indicator | 2021 | 2022 |
|---|---|---|
| Real GDP (EUR billions) | 34.5 | 36.4 |
| Real GDP growth rate (%) | 8.0 | 3.5 |
| Unemployment rate (%) | 6.2 | 5.6 |
| Inflation (%) | 4.5 | 18.8 |
| Gini coefficient (estimate) | 0.31 | 0.30 |
Table 2: Timber Market Data in Estonia
| Price (EUR/m³) | Quantity Demanded (million m³) |
|---|---|
| 120 | 2.6 |
| 140 | 2.3 |
Table 3: Tax Revenue in Estonia (2022)
| Tax Type | Rate (%) | Annual Revenue (EUR million) |
|---|---|---|
| Personal income tax | 20 | 2,000 |
| Corporate tax (on distributed profits) | 20 | 800 |
| VAT | 20 | 3,200 |
| Excise taxes (alcohol, tobacco, fuel) | Varies | 1,500 |
| Social security contributions | 33 | 4,100 |
| Total tax revenue | - | 11,600 |
Using the data in Table 2, calculate the price elasticity of demand (PED) for timber in Estonia when the price increases from €120 per cubic meter to €140 per cubic meter.
Using the data in Table 1, calculate the approximate nominal percentage increase in Estonia’s GDP from 2021 to 2022. Show your working.
Referring to Table 3, calculate the share of personal income tax revenue as a percentage of Estonia’s total tax revenue in 2022.
Using the information in Table 3, calculate the additional revenue the government would gain if the personal income tax rate rose from 20% to 22%, assuming the tax base remains unchanged.
Define the term “Keynesian multiplier.”
Using an AD/AS diagram, explain how an increase in government spending might affect real GDP in Estonia.
Using the data from Table 3, calculate what percentage of Estonia's total tax revenue comes from VAT. Show your working.
Using information from the text and Table 1, explain two ways in which Estonia’s rising inflation rate might affect income inequality.
Using the text/data provided and your knowledge of economics, recommend a policy which the Estonian government could introduce to address the high rate of inflation. Justify your recommendation.
Explain the business cycle.
Using real-world examples, evaluate monetary policy as a measure to reduce the fluctuations of the business cycle.