Lecture

Understanding Risk and Uncertainty

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In course

ENV-471: Environmental economics

Introduction to economic analysis applied to environmental issues: all the necessary basic concepts, including cost-benefit analysis, for environmental policy making and its instruments (examples: climate, waste, mobility). Introduction to financial calcul ...

Description

This lecture delves into the concepts of risk and uncertainty, using examples like lotteries and borrowing money to illustrate how individuals make decisions under different scenarios. The instructor explains the importance of subjective probabilities in decision-making, sensitivity analysis in evaluating project profitability, and the role of the precautionary principle in environmental decision-making.

Instructor

Philippe Thalmann

Philippe Thalmann was born in Lausanne in 1963. He graduated in Economics from the University of Lausanne in 1984, where he earned a postgraduate diploma in Economics in 1986. Mr. Thalmann entered the doctoral program in Economics of Harvard University (Cambridge, U.S.A.) in 1986, which he completed with a Ph.D. in 1990. His dissertation is entitled: "Essays in the Economics of Government Revenues and Spending". Returning to Switzerland, he was hired as an assistant professor first at the University of Geneva (teachings in Public Economics), then at the University of Lausanne (teachings in Econometrics and Introductory Economics). Since 1994, Mr. Thalmann is associate professor of Economics as the Swiss Federal Institute of Technology at Lausanne.

Official source

Ontological neighbourhood

Economics

Microeconomics: Financial economics

Related concepts (32)

Bayesian probability

Bayesian probability (ˈbeɪziən or ˈbeɪʒən ) is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief. The Bayesian interpretation of probability can be seen as an extension of propositional logic that enables reasoning with hypotheses; that is, with propositions whose truth or falsity is unknown.

Probability

Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin.

Conditional probability

In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) has already occurred. This particular method relies on event B occurring with some sort of relationship with another event A. In this event, the event B can be analyzed by a conditional probability with respect to A. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(AB) or occasionally P_B(A).

Frequentist probability

Frequentist probability or frequentism is an interpretation of probability; it defines an event's probability as the limit of its relative frequency in many trials (the long-run probability). Probabilities can be found (in principle) by a repeatable objective process (and are thus ideally devoid of opinion). The continued use of frequentist methods in scientific inference, however, has been called into question. The development of the frequentist account was motivated by the problems and paradoxes of the previously dominant viewpoint, the classical interpretation.

Risk

In simple terms, risk is the possibility of something bad happening. Risk involves uncertainty about the effects/implications of an activity with respect to something that humans value (such as health, well-being, wealth, property or the environment), often focusing on negative, undesirable consequences. Many different definitions have been proposed. The international standard definition of risk for common understanding in different applications is "effect of uncertainty on objectives".

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