economics metho Flashcards

(27 cards)

1
Q

Operationalization

A

Links theoretical concepts to measurable observations. Determines how theoretical concepts are measured - can be measured in different ways

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2
Q

Operationalism

A

If a concept is measured differently, it’s not the same concept.

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3
Q

The deductive-nomological (NM) model

A

A scientific theory according to logical positivists:
Explenans
Law(s) - verified (and true) synthetic a posteriori’s that are unrestricted generalization
Initial conditions - verified (and true) synthetic a posteriori’s
= Explanandum (3) - synthetic a posteriori
Can be used (ex ante) to predict the explanandum with explanans
Can be used (ex post) to explain the explanandum with explanans
Symmetry thesis: explaining (3) requires finding (1) and (2). If you have (1) and (2) you can predict (3) - Explanation and prediction are symmetric.

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4
Q

Scientific Laws
Problem:

A

1 Scientific theories should be completely objective.
2 Scientific theories should have at least one scientific law.
3 But claiming that a statement is a scientific law is subjective!

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5
Q

What is a scientific law?

A

1 A scientific law should be verified (and true) unrestricted generalization.
“All of the coins are 50 cent coins” → “accidental generalization” – not scientific law
2 But it should also identify casually relevant factors.
“As ice cream sales increase, the rate of drowning deaths increases.” - not scientific law

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6
Q

Hume’s Problem of Induction

A

Induction: Deriving generalizations from limited observations.
Issue: Cannot guarantee universal truth (e.g., “All swans are white”).
⇒ Impossible to infer unrestricted generalization from a limited set of observations!
Conclusion: Induction is probabilistic, not certain.

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7
Q

Instrumentalism

A

(Moritz Schlick):
Scientific laws are “usable guidelines,” not verified truths,
⇒ “Instruments” that are not verified but that serve as a “foundation” of scientific knowledge.
Universal statement = instrumental guideline → not meaningful (meaninful statement = certain statement)

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8
Q

Confirmationism

A

(Rudolf Carnap):
Scientific laws are probabilistic, with a “degree of confirmation.”
⇒ Scientific laws are not verified but “confirmed” regularities, with a “degree of confirmation” (which is less than 100%).

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9
Q

Keynes-Tinbergen Debate

A

Jan Tinbergen:
Developed first macroeconometric models (Netherlands, US).
Used mathematical models with fixed coefficients and least squares estimation.
Keynes’ Criticism:
Omitted Variable Bias:
Estimates are biased if not all causal factors are included.
Some factors are unmeasurable.
Data Mining:
Too much trial and error, too little theory.
Invariance Problems:
Estimated relationships may not hold in the future
Key Insight: Tinbergen measures, not tests, as causality must be fully known.
Keynes was critical of the mathematical modeling approach used by Tinbergen, arguing that it oversimplified the complexities of economic systems and could lead to misleading conclusions if not handled with caution

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10
Q

Trygve Haavelmo

A

Economic variables are interdependent; no controlled experiments.
Economic data =”sample selected by nature”from an unknown data-generating process(DGP).
&
Economic Laws: (general to specific approach)

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11
Q

Measurement-Without-Theory Debate

A
  1. NBER (Burns & Mitchell):
    * Inductive, data-driven approach.
    * Focused on descriptive statistics and time-series data. + no mathematical models
  2. Cowles Commission (Koopmans):
    * Theory-driven approach.
    * Used a priori mathematical models, simultaneous equations, and hypothesis testing.

Koopmans:
* Without theory, data can be misinterpreted or biased, especially in the presence of simultaneous equations bias (e.g., cause and effect can be confused).
* Regularities observed in data (e.g., business cycle patterns) may not hold in the future (invariance problem) without a theoretical explanation for their persistence.

Vining:
* Collecting and analyzing data is valuable for discovering patterns and generating new hypotheses.
* He criticized the Cowles Commission’s theoretical models as being overly abstract and simplistic, referring to them as a “pretty skinny fellow” compared to the richness of empirical data.

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12
Q

Milton Friedman

A

Lawrence Klein’s large Model vs Carl Christ’s Naive Models:

Friedman’s Criticism of Klein’s Model:
* Too much trial and error, invariance problem.
* Crist’s naive models are natural benchmarks to assess the predictive power of Klein’s model.
*Asserting that a large economic model can predict the effect of a policy change, is an “act of faith” (in regard to the Klein’s model).

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13
Q

Marshallian Approach vs Walrasian Approach

A

Marshallian Approach - partial equilibrium - fewer theoretical assumptions - Friedman

Walrasian Approach - general equilibrium - a priori theoretical models- Tinbergen,

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14
Q

Friedman’s Methodology of Positive Economics (1953)

A

Key Idea: Theories should predict well, not necessarily have realistic assumptions.

In favour of “economic instrumentalism”?
* Whether assumptions are realistic or not does not matter, as long as theory predicts well!

Or opposed to “realisticness”?
* Assumptions should be descriptively correct in all thor detail

Assumptions (Musgrave’s Classification):
* Negligibility: Ignore insignificant factors.
* Domain: Define the conditions under which a theory is valid.
* Heuristic: Simplifying assumptions used to model complex behavior as if it follows a simple rule.

⇒ Marshallian partitioning, with negligibility assumption and domain specifications!

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15
Q

Paul Samuelson

A

Disagreement with Friedman:
* Rejects “F-twist” (assumptions don’t matter if predictions are good).

Descriptivism:
* Scientists describe, not explain.
* Predictions depend on accuracy of descriptions.

Revealed Preference Theory (RPT):
* Operational alternative to ordinal utility theory.
* Critique: RPT also uses unoperationalized assumptions.

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16
Q

Karl popper vs logical positivist

A

Logical Positivism:
Starts with observations → uses induction to find regularities → verifies to find scientific laws.
* Problem: Impossible to conclusively verify scientific laws.

Popper’s Approach:
Starts with problems and conjectures → uses deduction to derive implications → tests until falsified.
* Advantage: Possible to conclusively falsify an implication.
* Knowledge Growth: Science progresses by learning from mistakes.

16
Q

Descriptivism:

A

Scientists describe, not explain.
Predictions depend on accuracy of descriptions.

17
Q

Popper’s Lingo

A

Scientific theory should have Falsifiers: Observations that, if true, falsify the theory.
The potential falsifiers of a theory is called empirical content - what should not happen according to the theory.
*More precise predictions = more empirical content.

18
Q

Good theory acc. to Karl popper

A

*High empirical content (risky).
*Corroborated by empirical data

19
Q

Popper’s Methodology Steps

A
  1. Logical Consistency: Is the theory logically consistent?
  2. Falsifiability: Is the theory falsifiable?
  3. Scientific Advance:
    * Does it explain existing observations?
    * Does it solve anomalies or problems?
  4. Test Predictions:
    * If predictions are correct → theory is corroborated (adopted as a working hypothesis).
    *If predictions are wrong → theory is falsified (search for a better theory).

NO IMMUNIZING STRATEGIES

20
Q

Poppers Critique of Historicism

A

–>in the view that there are “inexorable laws of historical destiny” (as in fascism and communism).

Human history is a unique historical process.
=/= a closed and stationary system like our solar system!

⇒ An hypothesis about human history cannot be tested, and therefore cannot lead to a “law”.

  1. Regularities in social life vary over time and across cultures.
    * Depends on a large number of factors, which cannot be isolated in lab experiments.
    * Predictions may be self fulfilling or self defending.
    These regularities are not really “laws” but rather “trends” or “tendencies”.

Poppers stance:
* Opposes historicism → leads to totalitarianism.
*Advocates for an open society (freedom of thought) and piecemeal social engineering (small, learnable policy steps).

21
Q

The Duhem-Quine Thesis

A

It is not possible to conclusively falsify a theory!
Because an empirical test always requires background assumptions, which may be wrong!
→ What has been falsified?
the theory?
the empirical set-up?
the masuring instrument?

22
Q

Thomas Kuhn

A

Descriptive (focuses on how science is practiced, not how it should be)

Normal science - pradigm

Anomalies -Puzzles that cannot be solved within the dominant paradigm.
Initially ignored, but may lead to a paradigm shift if persistent.

Incommensurability:
*Competing paradigms cannot be directly compared.
* Proponents of different paradigms often misunderstand each other.

23
Q

Disciplinary matrix

A

1 Symbolic generalizations: U(x), F(K,L), …
2 Metaphysical beliefs: People have utility functions,
3 Values; About the research domain, research methods, evaluation criteria, …
4 Paradigms; Standard models such as IS-LM, Akelof’s lemons model, …

24
Incommensurability:
Competing paradigms cannot be directly compared. Proponents of different paradigms often misunderstand each other.
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Anomalies
(often first ignored or explained away) Puzzles that cannot be solved within the dominant paradigm. Initially ignored, but may lead to a paradigm shift if persistent.
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