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πŸ”— Emergence

πŸ”— Biology πŸ”— Physics πŸ”— Economics πŸ”— Philosophy πŸ”— Systems πŸ”— Philosophy/Philosophy of science πŸ”— Philosophy/Epistemology

In philosophy, systems theory, science, and art, emergence occurs when an entity is observed to have properties its parts do not have on their own. These properties or behaviors emerge only when the parts interact in a wider whole. For example, smooth forward motion emerges when a bicycle and its rider interoperate, but neither part can produce the behavior on their own.

Emergence plays a central role in theories of integrative levels and of complex systems. For instance, the phenomenon of life as studied in biology is an emergent property of chemistry, and psychological phenomena emerge from the neurobiological phenomena of living things.

In philosophy, theories that emphasize emergent properties have been called emergentism. Almost all accounts of emergentism include a form of epistemic or ontological irreducibility to the lower levels.

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πŸ”— IQ and the Wealth of Nations

πŸ”— Economics πŸ”— Books πŸ”— Psychology πŸ”— Anthropology

IQ and the Wealth of Nations is a 2002 book by psychologist Richard Lynn and political scientist Tatu Vanhanen. The authors argue that differences in national income (in the form of per capita gross domestic product) are correlated with differences in the average national intelligence quotient (IQ). They further argue that differences in average national IQs constitute one important factor, but not the only one, contributing to differences in national wealth and rates of economic growth.

The book has drawn widespread criticism from other academics. Critiques have included questioning of the methodology used, the incompleteness of the data, and the conclusions drawn from the analysis. The 2006 book IQ and Global Inequality is a follow-up to IQ and the Wealth of Nations by the same authors.

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πŸ”— John von Neumann

πŸ”— Biography πŸ”— Computing πŸ”— Mathematics πŸ”— Military history πŸ”— Military history/North American military history πŸ”— Military history/United States military history πŸ”— Military history/Military science, technology, and theory πŸ”— Physics πŸ”— Economics πŸ”— Philosophy πŸ”— Philosophy/Logic πŸ”— Biography/science and academia πŸ”— Philosophy/Philosophy of science πŸ”— Philosophy/Contemporary philosophy πŸ”— Military history/Military biography πŸ”— Biography/military biography πŸ”— History of Science πŸ”— Computing/Computer science πŸ”— Philosophy/Philosophers πŸ”— Education πŸ”— Hungary πŸ”— Military history/World War II πŸ”— Military history/Cold War πŸ”— Physics/History πŸ”— Physics/Biographies πŸ”— Game theory πŸ”— Eastern Europe

John von Neumann (; Hungarian: Neumann JΓ‘nos Lajos, pronouncedΒ [ˈnΙ’jmΙ’n ˈjaːnoΚƒ ˈlΙ’joΚƒ]; December 28, 1903 – FebruaryΒ 8, 1957) was a Hungarian-American mathematician, physicist, computer scientist, engineer and polymath. Von Neumann was generally regarded as the foremost mathematician of his time and said to be "the last representative of the great mathematicians"; who integrated both pure and applied sciences.

He made major contributions to a number of fields, including mathematics (foundations of mathematics, functional analysis, ergodic theory, representation theory, operator algebras, geometry, topology, and numerical analysis), physics (quantum mechanics, hydrodynamics, and quantum statistical mechanics), economics (game theory), computing (Von Neumann architecture, linear programming, self-replicating machines, stochastic computing), and statistics.

He was a pioneer of the application of operator theory to quantum mechanics in the development of functional analysis, and a key figure in the development of game theory and the concepts of cellular automata, the universal constructor and the digital computer.

He published over 150 papers in his life: about 60 in pure mathematics, 60 in applied mathematics, 20 in physics, and the remainder on special mathematical subjects or non-mathematical ones. His last work, an unfinished manuscript written while he was in hospital, was later published in book form as The Computer and the Brain.

His analysis of the structure of self-replication preceded the discovery of the structure of DNA. In a short list of facts about his life he submitted to the National Academy of Sciences, he stated, "The part of my work I consider most essential is that on quantum mechanics, which developed in GΓΆttingen in 1926, and subsequently in Berlin in 1927–1929. Also, my work on various forms of operator theory, Berlin 1930 and Princeton 1935–1939; on the ergodic theorem, Princeton, 1931–1932."

During World War II, von Neumann worked on the Manhattan Project with theoretical physicist Edward Teller, mathematician StanisΕ‚aw Ulam and others, problem solving key steps in the nuclear physics involved in thermonuclear reactions and the hydrogen bomb. He developed the mathematical models behind the explosive lenses used in the implosion-type nuclear weapon, and coined the term "kiloton" (of TNT), as a measure of the explosive force generated.

After the war, he served on the General Advisory Committee of the United States Atomic Energy Commission, and consulted for a number of organizations, including the United States Air Force, the Army's Ballistic Research Laboratory, the Armed Forces Special Weapons Project, and the Lawrence Livermore National Laboratory. As a Hungarian Γ©migrΓ©, concerned that the Soviets would achieve nuclear superiority, he designed and promoted the policy of mutually assured destruction to limit the arms race.

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πŸ”— Big Mac Index Manipulation

πŸ”— Finance & Investment πŸ”— Economics πŸ”— Food and drink πŸ”— Food and drink/Foodservice πŸ”— Retailing πŸ”— Globalization

The Big Mac Index is a price index published by The Economist as an informal way of measuring the purchasing power parity (PPP) between two currencies and provides a test of the extent to which market exchange rates result in goods costing the same in different countries. It "seeks to make exchange-rate theory a bit more digestible."

The index, created in 1986, takes its name from the Big Mac, a hamburger sold at McDonald's restaurants.

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πŸ”— Perverse Incentive

πŸ”— History πŸ”— Economics πŸ”— Philosophy πŸ”— Business πŸ”— Philosophy/Ethics

A perverse incentive is an incentive that has an unintended and undesirable result that is contrary to the intentions of its designers. The cobra effect is the most direct kind of perverse incentive, typically because the incentive unintentionally rewards people for making the issue worse. The term is used to illustrate how incorrect stimulation in economics and politics can cause unintended consequences.

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πŸ”— Pareto Efficiency

πŸ”— Computer science πŸ”— Economics πŸ”— Engineering πŸ”— Gender Studies

Pareto efficiency or Pareto optimality is a situation where no action or allocation is available that makes one individual better off without making another worse off. The concept is named after Vilfredo Pareto (1848–1923), Italian civil engineer and economist, who used the concept in his studies of economic efficiency and income distribution. The following three concepts are closely related:

  • Given an initial situation, a Pareto improvement is a new situation where some agents will gain, and no agents will lose.
  • A situation is called Pareto-dominated or Pareto-inefficient if there is some possible Pareto improvement that has not been made.
  • A situation is called Pareto-optimal or Pareto-efficient if no change could lead to improved satisfaction for some agent without some other agent losing or, equivalently, if there is no scope for further Pareto improvement (in other words, the situation is not Pareto-dominated).

The Pareto front (also called Pareto frontier or Pareto set) is the set of all Pareto-efficient situations.

Pareto originally used the word "optimal" for the concept, but as it describes a situation where a limited number of people will be made better off under finite resources, and it does not take equality or social well-being into account, it is in effect a definition of and better captured by "efficiency".

In addition to the context of efficiency in allocation, the concept of Pareto efficiency also arises in the context of efficiency in production vs. x-inefficiency: a set of outputs of goods is Pareto-efficient if there is no feasible re-allocation of productive inputs such that output of one product increases while the outputs of all other goods either increase or remain the same.

Pareto efficiency is measured along the production possibility frontier (PPF), which is a graphical representation of all the possible options of output for two products that can be produced using all factors of production.

Besides economics, the notion of Pareto efficiency has been applied to the selection of alternatives in engineering and biology. Each option is first assessed, under multiple criteria, and then a subset of options is ostensibly identified with the property that no other option can categorically outperform the specified option. It is a statement of impossibility of improving one variable without harming other variables in the subject of multi-objective optimization (also termed Pareto optimization).

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πŸ”— The Panic of 1907

πŸ”— United States πŸ”— Finance & Investment πŸ”— Economics πŸ”— Business

The Panic of 1907 – also known as the 1907 Bankers' Panic or Knickerbocker Crisis – was a financial crisis that took place in the United States over a three-week period starting in mid-October, when the New York Stock Exchange fell almost 50% from its peak the previous year. Panic occurred, as this was during a time of economic recession, and there were numerous runs on banks and trust companies. The 1907 panic eventually spread throughout the nation when many state and local banks and businesses entered bankruptcy. Primary causes of the run included a retraction of market liquidity by a number of New York City banks and a loss of confidence among depositors, exacerbated by unregulated side bets at bucket shops.

The panic was triggered by the failed attempt in October 1907 to corner the market on stock of the United Copper Company. When this bid failed, banks that had lent money to the cornering scheme suffered runs that later spread to affiliated banks and trusts, leading a week later to the downfall of the Knickerbocker Trust Companyβ€”New York City's third-largest trust. The collapse of the Knickerbocker spread fear throughout the city's trusts as regional banks withdrew reserves from New York City banks. Panic extended across the nation as vast numbers of people withdrew deposits from their regional banks. It is the 9th largest decline in U.S. stock market history.

The panic might have deepened if not for the intervention of financier J. P. Morgan, who pledged large sums of his own money, and convinced other New York bankers to do the same, to shore up the banking system. This highlighted the impotence of the nation's Independent Treasury system, which managed the nation's money supply yet was unable to inject liquidity back into the market. By November, the financial contagion had largely ended, only to be replaced by a further crisis. This was due to the heavy borrowing of a large brokerage firm that used the stock of Tennessee Coal, Iron and Railroad Company (TC&I) as collateral. Collapse of TC&I's stock price was averted by an emergency takeover by Morgan's U.S. Steel Corporationβ€”a move approved by anti-monopolist president Theodore Roosevelt. The following year, Senator Nelson W. Aldrich, a leading Republican, established and chaired a commission to investigate the crisis and propose future solutions, leading to the creation of the Federal Reserve System.

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πŸ”— Great horse manure crisis of 1894

πŸ”— Disaster management πŸ”— Economics πŸ”— Urban studies and planning

The great horse manure crisis of 1894 refers to the idea that the greatest obstacle to urban development at the turn of the century was the difficulty of removing horse manure from the streets. More broadly, it is an analogy for supposedly insuperable extrapolated problems being rendered moot by the introduction of new technologies. The phrase originates from a 2004 article by Stephen Davies entitled "The Great Horse-Manure Crisis of 1894".

The supposed problem of excessive horse-manure collecting in the streets was solved by the proliferation of cars, buses and electrified trams which replaced horses as the means of transportation in big cities. The term great horse manure crisis of 1894 is often used to denote a problem which seems to be impossible to solve because it is being looked at from the wrong direction.

The name refers to a supposed 1894 publication in The Times, which said "In 50 years, every street in London will be buried under nine feet of manure". The reasoning was that more horses are needed to remove the manure, and these horses produce more manure. An urban planning conference in 1898 supposedly broke up before its scheduled end due to a failure to find an answer to this problem. No such statement in the Times, nor conference result, is known, but in 1893 London there was a complaint that horse manure, formerly an economic good that could be sold, had become a disposal problem, an economic bad.

The supposed crisis has since taken on life as a useful analogy.

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πŸ”— Pareto Front

πŸ”— Computer science πŸ”— Economics πŸ”— Engineering

In multi-objective optimization, the Pareto front (also called Pareto frontier or Pareto curve) is the set of all Pareto efficient solutions. The concept is widely used in engineering.:β€Š111–148β€Š It allows the designer to restrict attention to the set of efficient choices, and to make tradeoffs within this set, rather than considering the full range of every parameter.:β€Š63–65β€Š:β€Š399–412β€Š

πŸ”— Bitcoin Cryptocurrency

πŸ”— Internet πŸ”— Computing πŸ”— Computing/Computer hardware πŸ”— Finance & Investment πŸ”— Economics πŸ”— Law πŸ”— Computing/Software πŸ”— Computing/Free and open-source software πŸ”— Computing/Computer science πŸ”— Cryptography πŸ”— Cryptography/Computer science πŸ”— Numismatics πŸ”— Guild of Copy Editors πŸ”— Numismatics/Cryptocurrency πŸ”— Cryptocurrency πŸ”— Open πŸ”— Computing/Computer Security

Bitcoin (β‚Ώ) is a cryptocurrency. It is a decentralized digital currency without a central bank or single administrator that can be sent from user to user on the peer-to-peer bitcoin network without the need for intermediaries.

Transactions are verified by network nodes through cryptography and recorded in a public distributed ledger called a blockchain. Bitcoin was invented in 2008 by an unknown person or group of people using the name Satoshi Nakamoto and started in 2009 when its source code was released as open-source software. Bitcoins are created as a reward for a process known as mining. They can be exchanged for other currencies, products, and services. Research produced by University of Cambridge estimates that in 2017, there were 2.9 to 5.8 million unique users using a cryptocurrency wallet, most of them using bitcoin.

Bitcoin has been criticized for its use in illegal transactions, its high electricity consumption, price volatility, and thefts from exchanges. Some economists, including several Nobel laureates, have characterized it as a speculative bubble. Bitcoin has also been used as an investment, although several regulatory agencies have issued investor alerts about bitcoin.