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Transformation problem: The transformation problem is the problem specific to Marxist economics, and not to economics in general, of finding a general rule by which to transform the values of commodities based on socially necessary labour time into the competitive prices of the marketplace. The essential difficulty is how to reconcile profit in ...
An easier way to solve this problem in a two-output context is the Ramsey condition. According to Ramsey, in order to minimize deadweight losses, one must increase prices to rigid and elastic demands/supplies in the same proportion, in relation to the prices that would be charged at the first-best solution (price equal to marginal cost).
Computational economics is an interdisciplinary research discipline that combines methods in computational science and economics to solve complex economic problems. [1] This subject encompasses computational modeling of economic systems .
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Nöldeke and Schmidt (1995) argued that the underinvestment problem due to the hold-up problem is eliminated if parties are able to write a simple option contract. Such a contract gives the seller the right but not the obligation to deliver a fixed quantity of the good and also makes the contractual payment of the buyer dependent on the ...
There are generally two approaches to solving optimal stopping problems. [4] When the underlying process (or the gain process) is described by its unconditional finite-dimensional distributions , the appropriate solution technique is the martingale approach, so called because it uses martingale theory, the most important concept being the Snell ...
In the latest Yahoo Finance Capitol Gains podcast, Tobin Marcus, head of policy for Wolfe Research, points out that in 2022, when inflation was close to its peak, Democrats outperformed in the ...
Merton's portfolio problem is a problem in continuous-time finance and in particular intertemporal portfolio choice. An investor must choose how much to consume and must allocate their wealth between stocks and a risk-free asset so as to maximize expected utility .