Panhellenic Economics & Informatics study materials
Panhellenic Economics & Informatics study resources

Panhellenic Economics & Informatics key terms

Panhellenic Economics & Informatics · Get comfortable with the vocabulary.

Price elasticity of demand

The percentage change in quantity demanded divided by the percentage change in price. It shows how responsive buyers are to price movements; values above one in absolute value indicate elastic demand.

Related: Substitute goods, Consumer surplus
Opportunity cost

The value of the best alternative forgone when a choice is made. It includes both explicit money costs and implicit costs such as forgone income or time, and underlies the idea of comparative advantage.

Related: Comparative advantage, Marginal cost
Marginal cost

The additional cost of producing one more unit of output, equal to the change in total cost divided by the change in quantity. Profit maximisation in competitive markets occurs where price equals marginal cost.

Related: Opportunity cost, Deadweight loss
Consumer surplus

The difference between what consumers are willing to pay for a good and what they actually pay. Geometrically it is the area below the demand curve and above the market price.

Related: Price elasticity of demand, Deadweight loss
Deadweight loss

The loss of total welfare, measured as lost consumer plus producer surplus, caused by market distortions such as taxes, monopolies or price controls that push quantity away from the efficient level.

Related: Consumer surplus, Marginal cost
Substitute goods

Products that can replace each other in use, so that a rise in the price of one increases demand for the other. Their cross-price elasticity of demand is positive.

Related: Price elasticity of demand, Complementary goods
Complementary goods

Products consumed together, such as printers and ink, so that a rise in the price of one reduces demand for the other. Their cross-price elasticity of demand is negative.

Related: Substitute goods
Comparative advantage

The ability of a producer to make a good at a lower opportunity cost than another producer. Specialising according to comparative advantage raises total output even when one party is absolutely more productive in everything.

Related: Opportunity cost
Game theory equilibrium (Nash equilibrium)

A combination of strategies in which no player can gain by unilaterally changing strategy, given the others' choices. It is the central solution concept for analysing oligopoly behaviour and strategic interaction.

Related: Dominant strategy, Prisoner's dilemma
Dominant strategy

A strategy that yields a better payoff than any alternative regardless of what other players do. When every player has one, the resulting outcome is a Nash equilibrium reached without coordination.

Related: Game theory equilibrium (Nash equilibrium), Prisoner's dilemma
Prisoner's dilemma

A game in which each player has a dominant strategy leading to an outcome worse for both than mutual cooperation. It illustrates why rational individual choices can produce collectively inefficient results.

Related: Dominant strategy, Game theory equilibrium (Nash equilibrium)
Gross domestic product (GDP)

The market value of all final goods and services produced within a country's borders in a given period. It can be measured by expenditure, income or output approaches and excludes intermediate goods to avoid double counting.

Related: Real versus nominal values, Inflation
Real versus nominal values

A nominal value is measured at current prices, while a real value is adjusted for price changes using a base year or deflator. Real measures are needed to compare quantities across time.

Related: Gross domestic product (GDP), Consumer price index
Consumer price index

A weighted average of the prices of a fixed basket of household goods and services, expressed relative to a base period. Its percentage change is a common measure of inflation.

Related: Inflation, Real versus nominal values
Inflation

A sustained rise in the general price level, reducing the purchasing power of money. It is typically measured by the annual percentage change in a consumer price index.

Related: Consumer price index, Phillips curve
Phillips curve

An empirical relationship showing an inverse short-run trade-off between inflation and unemployment. The long-run version is generally treated as vertical at the natural rate of unemployment.

Related: Inflation, Natural rate of unemployment
Natural rate of unemployment

The unemployment rate consistent with stable inflation, arising from frictions and structural factors rather than deficient demand. It is also called the non-accelerating-inflation rate of unemployment.

Related: Phillips curve, Fiscal multiplier
Fiscal multiplier

The ratio of the change in equilibrium output to an initial change in government spending or taxes. Its size depends on the marginal propensity to consume and on crowding-out effects.

Related: Crowding out, Automatic stabilisers
Crowding out

The reduction in private investment caused by higher interest rates when expansionary fiscal policy is financed by borrowing. It weakens the effect of government spending on aggregate demand.

Related: Fiscal multiplier
Automatic stabilisers

Features of the budget, such as progressive taxes and unemployment benefits, that dampen fluctuations in aggregate demand without any deliberate policy action. They reduce the amplitude of business cycles.

Related: Fiscal multiplier
Central limit theorem

A result stating that the sum or mean of many independent, identically distributed random variables tends toward a normal distribution as sample size grows, regardless of the underlying distribution's shape.

Related: Standard error, Confidence interval
Standard error

The standard deviation of a statistic's sampling distribution, measuring how much an estimate would vary across repeated samples. It typically shrinks as the square root of sample size increases.

Related: Central limit theorem, Confidence interval
Confidence interval

A range of values, computed from sample data, that is expected to contain the true population parameter in a stated proportion of repeated samples. Its width depends on variability and sample size.

Related: Standard error, Central limit theorem
p-value

The probability, assuming the null hypothesis is true, of observing a test statistic at least as extreme as the one calculated. Small values suggest the data are inconsistent with the null hypothesis.

Related: Type I and Type II errors, Ordinary least squares
Type I and Type II errors

A Type I error rejects a true null hypothesis, while a Type II error fails to reject a false one. Their probabilities trade off against each other for a fixed sample size.

Related: p-value
Ordinary least squares

An estimation method that chooses regression coefficients minimising the sum of squared residuals. Under Gauss-Markov assumptions the resulting estimator is the best linear unbiased estimator.

Related: Heteroskedasticity, R-squared, p-value
Heteroskedasticity

A condition in which the variance of regression errors differs across observations. It leaves coefficient estimates unbiased but makes standard errors unreliable unless robust methods are used.

Related: Ordinary least squares, R-squared
R-squared

The proportion of total variation in the dependent variable explained by a regression model. It ranges from zero to one and rises mechanically when more regressors are added.

Related: Ordinary least squares
Big-O notation

A mathematical notation describing an upper bound on how an algorithm's running time or memory grows with input size, ignoring constant factors and lower-order terms.

Related: Time complexity, Recursion
Time complexity

A characterisation of how the number of elementary operations an algorithm performs scales with input size, usually expressed asymptotically. It allows comparison of algorithms independently of hardware.

Related: Big-O notation, Hash table
Hash table

A data structure storing key-value pairs in an array indexed by a hash function, giving average constant-time lookup, insertion and deletion. Collisions are resolved by chaining or open addressing.

Related: Time complexity, Stack and queue
Stack and queue

Linear data structures distinguished by access order: a stack is last-in-first-out, while a queue is first-in-first-out. Both support constant-time insertion and removal at their respective ends.

Related: Recursion, Hash table
Recursion

A technique in which a function solves a problem by calling itself on smaller inputs, requiring a base case to terminate. Each call consumes stack memory, so deep recursion can overflow.

Related: Stack and queue, Big-O notation
Relational model and normalisation

A design approach storing data in tables of rows and columns linked by keys, with normal forms reducing redundancy and update anomalies by eliminating partial and transitive dependencies.

Related: Primary key and foreign key, SQL join
Primary key and foreign key

A primary key uniquely identifies each row in a table, while a foreign key is a column referencing a primary key in another table. Together they enforce entity and referential integrity.

Related: Relational model and normalisation, SQL join
SQL join

An operation combining rows from two or more tables based on a related column, typically an inner join matching only common values or an outer join preserving unmatched rows from one side.

Related: Primary key and foreign key, Relational model and normalisation
Transaction and ACID properties

A transaction is a unit of database work that must satisfy atomicity, consistency, isolation and durability, so that partial failures do not leave data in an inconsistent state.

Related: Relational model and normalisation
Index

A data structure, commonly a B-tree, that speeds up row retrieval on specified columns at the cost of extra storage and slower writes, because the index must be updated on modification.

Related: SQL join, Time complexity
Linear programming

An optimisation method that maximises or minimises a linear objective function subject to linear constraints. Solutions lie at vertices of the feasible region and are found by the simplex method.

Related: Shadow price, Duality
Shadow price

The marginal change in the optimal objective value resulting from a one-unit relaxation of a constraint. It indicates which resource is most valuable to expand in a linear programme.

Related: Linear programming, Duality
Duality

The principle that every linear programme has a companion dual problem whose optimal objective value equals the primal's. Dual variables correspond to shadow prices of the primal constraints.

Related: Linear programming, Shadow price