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This presentation by Michael Joffe explores the concept of causation in biology and economics, covering topics such as epidemiology, physiology, population biology, evolutionary biology, and systems in economic theory. It examines the role of mechanisms and difference-making in causal relationships and discusses the evidence and structures involved. The presentation concludes with a discussion on the implications of these concepts in understanding causality.
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Evidence and causation in biology and economics Michael Joffe Imperial College London Canterbury, September 2012
Structure of the presentation • a concept of causation • epidemiology • physiology • systems in biology • physiological systems • population biology • evolutionary biology • systems in economic theory • conclusion
Structure of the presentation • a concept of causation • epidemiology • physiology • systems in biology • physiological systems • population biology • evolutionary biology • systems in economic theory • conclusion
A concept of causation I • a causal relationship is one that has a mechanism that by its operation makes a difference • difference-making: a change in the probability and/or timing of an event, or in its magnitude or severity • includes partial/multiple, stochastic and deterministic causation, plus counterfactual and manipulationist accounts • but excludes chains, webs, cycles – single link only • this is compatible with classic accounts of causation in epidemiology (Bradford Hill, Rose)
A concept of causation II • not all differences correspond directly to a causal relationship – something has to make a difference, over time • no direct mechanism responsible for the sex difference in breast cancer incidence – it is due to metabolic difference between the sexes – these do play a causal role over time, i.e. upstream causes • mechanism and difference-making are properties of the causal relation, and seen as complementary • discovery of either can come first • a totally convincing explanation includes both
A concept of causation III • mechanism: powers/capacities [Cartwright; MDC] • combining mechanism and difference-making is similar to the Russo/Williamson epistemic theory but takes an ontic view: asking what is the source of evidence in the real world • science can uncover evidence of the structure (“what”) and mode of operation (“how”) of a mechanism • and of the difference it makes (“that”) – quantitative or qualitative • asymmetry requires an ontic perspective: beliefs do not alter reality, but reality can alter beliefs
“Physiology” • takes a primarily mechanistic view – how the body works – but typically starts from an observed difference (often qualitative): • dietary protein is broken down – how? → pepsin, its structure, etc – not necessarily complicated • a nerve impulse crosses a synapse – how? • the mechanistic evidence is then juxtaposed with more difference-making evidence, e.g. many-one synapses and their quantitative characteristics • physiological systems are evolved => regularity; the difference they make controls their evolution
Epidemiology • a difference-making approach: demonstrating that the rate of a disease differs in groups defined by their exposure • causal inference: the demonstrated difference is not due to e.g. chance, confounding or selection • mechanisms are often sought e.g. biomarkers • evidence of mechanism is complementary: how the damage occurs • any postulated cause must be plausible (yellow fingers); in due course the complementary biochemical pathways need to be elucidated
Structure of the presentation • a concept of causation • epidemiology • physiology • systems in biology • physiological systems • population biology • evolutionary biology • systems in economic theory • conclusion
Physiological systems I • until now, we have focused on a single link • organisms are composed of chains, webs and cycles of causal links – each being a mechanism that makes a difference • the dominant feature of physiological systems is homeostasis: a ± constant internal environment • core body temperature • numerous chemical concentrations • the system property is constancy – a difference-making property
Physiological systems II • how does the causal concept of mechanism and difference making fit with a system of this kind? • body temperature maintenance (homeothermy) • shivering is muscle activity (mechanism) that raises temperature (the difference) • sweating is fluid secretion (mechanism) that lowers the temperature (the difference) • so: each link has mechanism + difference-making • the system only has its own difference-making properties: relative constancy due to balancing or compensating (negative) feedback
Physiological systems III • in general, a system of this kind has numerous links, each a mechanism that makes a difference, as well as a characteristic mode of operation – the difference-making of the system as a whole • this can be regarded as system or endogenous causation – the system is relatively insensitive to initial conditions [Forrester 1970; Lane 2007] • a focus on individual links is “reductionist”, in contrast to system “emergent” properties • evidence is obtainable for all three categories
Other biological systems I • in population biology/ecology, population growth is exponential (reinforcing, or positive, feedback) • carrying capacity: logistic growth (–ve fb too) • Lotka-Volterra classic predator-prey model: • predation and reproduction are its component links, each with mechanistic and difference-making aspects • the system property is that the population sizes fluctuate systematically – a property of observed ecosystems and of the systems model • this pattern results from balancing feedback with delay, a classic pattern in system dynamics
Other biological systems II • in evolutionary biology, a different pattern is frequently observed: • the growth propensity of each tree threatens to obscure the sunlight of other trees, leading them to compete over evolutionary time – they all grow tall • a plant evolves the capacity to poison animals that eat it → some of the animals develop the ability to deal with the toxin, likely → further response by the plant • this is an arms race, a form of reinforcing (positive) feedback, tending to produce exponential growth – although this can be limited by carrying capacity
Summary of biological systems • like all causal systems, they are composed of links, each being a mechanism that makes a difference • to be called a system (in this sense), they have to possess an additional “emergent” property of system or endogenous causation – a difference-making characteristic that results from the way that the links combine • this system property is just as real in its effects as its component links – even in systems that are not organised (outside physiology) – not “just a model” • systems can also be subject to exogenous causes
Structure of the presentation • a concept of causation • epidemiology • physiology • systems in biology • physiological systems • population biology • evolutionary biology • systems in economic theory • conclusion
Economic systems I • the fundamental topic of study in economics is “the” market • system property of convergence towards a stable equilibrium has been recognised since Adam Smith
The standard market equilibrium model S price D P1 Q1 quantity
Economic systems I • the fundamental topic of study in economics is “the” market • system property of convergence towards a stable equilibrium has been recognised since Adam Smith
Economic systems I • the fundamental topic of study in economics is “the” market • system property of convergence towards a stable equilibrium has been recognised since Adam Smith • this is a typical simple balancing feedback system, like those of homeostasis – but in a system that is not evolved or deliberately organised – hence it is an idealisation or abstraction from real economic life – it could still capture the underlying essence though – does it? for all types of market?
cost A - quantity supplied A quantity demanded A price A - - // profit/incentive intensity of competition
cost A - quantity supplied A quantity demanded A price A - - // profit/incentive intensity of competition A SYSTEM WITH COMPENSATING (NEGATIVE) FEEDBACK – IT TENDS TO MOVE TOWARDS STABLE EQUILIBRIUM
a “supply shock” – e.g. a better harvest than usual cost A - quantity supplied A quantity demanded A price A - - // profit/incentive intensity of competition
a “demand shock” – e.g. a successful promotion campaign cost A - quantity supplied A quantity demanded A price A - - // profit/incentive intensity of competition
a “supply shock” – e.g. a better harvest than usual a “demand shock” – e.g. a successful promotion campaign cost A - quantity supplied A quantity demanded A price A - - // profit/incentive intensity of competition THESE PROCESSES OCCUR OVER TIME, BUT ARE STATIC IN THE SENSE THAT THE ONLY TIME-DEPENDENT ENDOGENOUS PROCESS IS TOWARDS A STABLE EQUILIBRIUM
Economic systems II • balancing feedback with delay: e.g. construction cycles in property markets; business cycles? • bubbles: trend extrapolation that causes a self-fulfilling prophecy – reinforcing feedback • financial markets: bubbles-prone, highly volatile, and with some endogenous chaotic properties • capitalist growth: firms’ control over the means of production gives them flexibility over costs and the size of the market they can supply – an arms race – reinforcing feedback
Economic systems III • balancing feedback is a feature of economic systems, but is frequently joined by other types of feedback, giving the system different properties • neither the conventional view, that markets are always self-correcting, nor the critical view, that they do not have this property at all, is correct • this is not the same issue as “market failure” • fluctuations may occur, due to – ve fb with delay • to understand bubbles, or capitalist growth, it is necessary to understand reinforcing feedback
Economic systems IV • the properties of the system primarily depend on its feedback structure • rationality vs. realistic behaviour is a secondary issue – all that is needed to make the system work is some degree of regularity, especially in response to incentives – situational rationality • rationality is useful for mathematical modelling • many economists see theory/models not based on optimisation/strict rationality as “ad hoc” – this is a basic category error
Structure of the presentation • a concept of causation • epidemiology • physiology • systems in biology • physiological systems • population biology • evolutionary biology • systems in economic theory • conclusion
Conclusion • there are cross-cutting methods of analysis that are applicable across many disciplines • system dynamics – cyclical combinations of causes containing feedback loops – is one; another is complex systems (complexity, chaos) • systems with feedback have characteristic modes of behaviour: endogenous causation, a difference-making property; their constituent links have mechanism + difference-making • different market types have radically different properties, resulting from feedback structure