3,673 works, 150 years of economic thought. Each one summarized and searchable, with cited passages inside.
A textbook can explain established theory clearly while concealing where that theory fails. This tension drives Oskar Morgenstern’s 1950 review of the 1948 German edition of Heinrich von Stackelberg’s Grundlagen der theoretischen Volkswirtschaftslehre. Morgenstern praises its teaching value and treatment of market organization, yet questions what equilibrium means between competition and monopoly and whether indifference curves can accommodate time and expectations. His concern is not simply technical: presenting economics as settled knowledge, he argues, may repel the students most capable of advancing it. This compact review offers a pointed distinction between command of analytical techniques and willingness to expose their limits, ending with a separate, unsettling observation about Stackelberg’s theoretical competence and Nazi commitments.
This work, too, is written as if there were no unsolved problems in economics and as if what is presented were the final answer.
Economic figures acquire authority because they look precise, and that appearance, Morgenstern argues, is often typographical rather than epistemic. His revised methodological study insists economics learn what the natural sciences long ago accepted: every observation carries an error, and no serious use of data can ignore its size. Ranging across foreign trade and gold-movement statistics, business accounting, national income, and growth-rate computation, he shows how paired export and import reports fail to match, how revisions never settle, and how deliberate concealment distinguishes economic data from a nature that does not lie. The demand is not for less quantification but for more honesty about it: reliability estimates, stated error ranges, and a refusal to let refined econometric operations amplify the illusion of knowledge. Data, on his account, become scientific information only when integrated with theory.
We must carefully distinguish between what we think we know and what we really do and can know.
A stable calculation need not describe a stable economy—or rest on accurate observations. In this jointly authored conference-paper abstract, Oskar Morgenstern and Max A. Woodbury examine how errors in input-output coefficients propagate into matrix inverses. Two 18-by-18 matrices, altered in only 42 entries by at most two per cent, yield remarkably similar inverses. Yet the authors question whether this reassuring result reflects economic interdependence or merely the matrices’ proximity to the identity: better data might reveal connections currently recorded as zeros. Woodbury’s mathematical results add bounds on error transmission and an exact inverse-update formula for a change in one row. The abstract offers a compact encounter with the distinction between computational robustness and empirical adequacy in economic modelling.
The stability of inverses must not be interpreted as proving stability of the economy. It is merely an indication how, and to what extent, errors in the given matrix carry over into its inverse.
A military supply operation can succeed without showing whether it could have used fewer resources or responded faster. In this 1955 article, revised and extended from a RAND memorandum, Oskar Morgenstern asks what must be understood before logistical performance can be judged or optimized. His economic and organizational perspective makes a shipment more than a quantity moved: personnel and machinery create continuing demands, complementary goods must arrive together, and requests may conceal inflated expectations. These dependencies make uniform cuts and rigid supply packages unreliable. Readers can discover why sources must exercise judgment rather than merely fill orders, and why military command needs broadly circulating information as well as directed instructions. Morgenstern’s proposed groundwork for theory exposes the practical choices hidden inside apparently straightforward calculations of requirements.
Schumpeter inspired lasting intellectual loyalty without founding a distinct school of economics. In this 1951 obituary, Oskar Morgenstern explores that contrast as both a former student and a critical fellow economist. He recalls the revelatory force of Schumpeter’s early theory while questioning the empirical conclusions of Business Cycles and the kind of capitalism whose demise Schumpeter predicted. Admiration sharpens rather than suspends his judgment: an economist receptive to new scientific methods remained attached to a vanished social world. The result is a compact portrait that helps readers distinguish Schumpeter’s theoretical achievements from his historical expectations—and understand how his generosity toward younger scholars fostered independent work rather than doctrinal allegiance.
A firm, an army, a university, a logistics system: none can be understood as a mere sum of its inputs, because their capacities depend on arrangements of authority, information, timing, and control. Morgenstern's unfinished RAND memorandum clears the ground for a future quantitative theory of organization, arguing that economics has treated the firm as a black box and lacked even a descriptive language for what happens inside it. He builds one, distinguishing inner from outer activity, defining operations as chosen sequences of acts, and replacing organic metaphors with "competences," units delegated authority to set variables within domains. Signals activate them, memory sustains them, control counters the drift toward disorder. Written in 1951, the memorandum anticipates cybernetics, information theory, operations research, and bounded rationality, insisting that careful phenomenological description must precede any premature axiomatization.
Organization in itself, wherever it occurs, whether in social or natural life, is something exceptional and extraordinary.
Faster calculation does not make an economic model true. In this 1952 article, Oskar Morgenstern asks what electronic computers can genuinely add to econometrics when observations are unreliable and the equations themselves may misrepresent economic life. His distinctive proposal is to treat computation not merely as the execution of established theory, but as a form of experiment: models can be tested against later production figures, temporal relationships explored across many series, and strategic choices calculated for competing firms. He couples this exploratory ambition with exacting demands for meaningful solutions and attention to propagated error. The result offers a concrete encounter with the promise—and limits—of computational economics before larger calculations could be mistaken for better knowledge.
Welche Gleichungen die Wirklichkeit tatsächlich löst, kann heute niemand angeben.
English translation: “No one today can specify which equations reality actually solves.”
Even a fully developed economic theory, Morgenstern contends, would leave many policy problems unsolvable — because policy adds demands theory never faces: aims stated quantitatively, timing, tolerated side-effects, feasible computation, and, decisively, a list of admissible means. A problem impossible under one set of permitted operations may become trivial under another, as squaring the circle, Columbus's egg, and the Gordian knot each illustrate. Unemployment could be 'solved' by conscription, work camps, or forced relocation; ruling those out changes the problem itself. Invoking Gödel as a reminder that decidability runs deep, he separates the theoretical solution from the policy solution and warns that civilization, by narrowing the morally acceptable instruments of action, tends to make its economic problems harder even as economic knowledge advances.
The statement that a problem has no solution for a given set of means is exactly equivalent to stating that a contradiction prevails.
Strip a system of its outer layers and something eventually gives way, not gradually but all at once. Morgenstern's essay builds a vocabulary for that threshold, introducing compressibility, the selective reduction of an economy or organization that preserves its defining function, against the kernel, the minimal core below which the thing ceases to be what it was. He resists the picture of total connectedness implied by input-output schemes read as if every cell were indispensable, since such a system would collapse at the first loss. Real economies, armies, and bureaucracies instead shed activities, reorganize, and substitute; war, scarcity, and damage reveal cores that abundance ordinarily hides. Part II turns to economic constants, denying that economics has physics-like constants while insisting on firmer physiological and technological bounds, from caloric minimums to reproduction times, beneath the shifting surface of prices.
A system will be said to be totally connected if the destruction of any of its parts destroys the whole system, i. e., deprives it of all of its functions.
Gold seemed the one balance-of-payments figure a statistician could trust: physically definite, internationally traded, central to gold-standard theory. Applying a single reciprocal test — country A's reported gold exports to B should match B's reported imports from A — Morgenstern finds the trust misplaced. For the United Kingdom, United States, Germany, France, and Canada in 1900, 1907, 1928, and 1935, the paired ratios refuse to cluster near unity and sometimes turn absurd, worst of all in the classical gold-standard years. Earmarking, transit trade, misclassification of gold and silver, and traveler-carried coin all corrupt the record, and no scientific ground exists for preferring one nation's figures over another's. If the best-looking data are this poor, he warns, a sound theory cannot rest on them — and trade statistics are likely worse still.
There is no reason why, say, an American economist or a man from Mars should prefer one set of these statistics over the others.
Science cannot supply political ends — but it can discipline the pursuit of them. That Weberian conviction anchors Morgenstern's 1956 lecture to the Nordrhein-Westfalen research society, which argues that no policy problem is even defined until one names the permitted means: unemployment looks wholly different if wage cuts, public works, or inflation are allowed. He welcomes mathematics, statistics, and electronic computation — linear programming, input-output analysis, a manganese-supply example — as ways to force objectives, quantities, and timing into the open. Yet formalization is not wisdom. Where the state truly commands its variables, quantitative methods improve decisions; where unions, cartels, and rival states react strategically, there is no single optimum, only game-theoretic solution sets and imputations. Calculation can rank feasible actions, he insists, but it cannot choose values or dissolve political conflict.
Die Theorie zeigt, daß es in diesen Fällen kein „Optimum“ gibt, keine „beste“ Lösung, sondern es gibt unendlich viele Verteilungsschemata oder „Zurechnungen“ für das Ergebnis, von denen jedoch nur einige zusammen als „Lösung“ angesehen werden können.
English translation: “The theory shows that in these cases there is no 'optimum,' no 'best' solution, but rather there are infinitely many distribution schemes or 'imputations' for the outcome, of which, however, only some together can be regarded as a 'solution.'”
For Oskar Morgenstern, von Neumann’s contribution to economics was not simply a supply of powerful mathematical techniques: it challenged what economists understood an economic problem to be. This 1958 obituary, written by his collaborator in game theory, explains why choices whose outcomes depend on other people’s choices cannot be treated as ordinary maximization problems. Morgenstern places that conceptual break within von Neumann’s wider conviction that empirical problems should stimulate mathematical invention, while resisting a final ranking of his achievements. Alongside the scientific assessment, recollections of his memory, humour and generosity give the portrait a personal register. Readers can discover how Morgenstern understood game theory’s still-unfulfilled promise at the moment of his collaborator’s death, rather than through the hindsight of its later development.