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These flashcards cover key vocabulary and principles from the Economics lecture, including concepts related to decision-making, market structures, economic indicators, and the impact of artificial intelligence on economics.
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Economics
The study of how people make decisions regarding scarce resources.
Microeconomics
Focuses on the behavior of individual economic agents, such as households and firms.
Macroeconomics
Studies the economy as a whole, examining aggregate indicators like GDP and unemployment.
Scarcity
The limited nature of society's resources, preventing the production of all desired goods and services.
Trade-offs
The concept that to gain something, one usually must give up something else.
Opportunity Cost
The value of the next best alternative that is given up when making a decision.
Marginal Change
A small incremental adjustment to a plan of action.
Incentives
Factors that motivate individuals to take action or make decisions.
Market Economy
An economic system where production and prices are determined by unrestricted competition between privately owned businesses.
Market Failure
A situation in which a market left on its own does not allocate resources efficiently.
Externality
The impact of one person’s actions on the well-being of a bystander.
Inflation
An increase in the overall level of prices in the economy over time.
Standard of Living
The degree of wealth and material comfort available to a person or community.
Productivity
The quantity of goods and services produced from each unit of labor input.
Business Cycle
Fluctuations in economic activity marked by periods of expansion and contraction.
AI in Economics
The use of artificial intelligence to enhance economic data analysis, forecasting, and understand economic behavior.
Behavioral Economics
A field of economics that combines psychological insights with economic theory to understand how people make economic decisions.
Job Displacement
The loss of jobs due to automation and AI integration into the economy.
Ethical Considerations of AI
The challenges regarding data privacy, algorithmic fairness, and accountability in the use of AI in economic systems.