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How to divide when there isn't enough : from Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation

Advances in economics and econometrics : theory and applicationsVol. 1

The Black-Scholes-Merton model as an idealization of discrete-time economies

Random sets in econometrics

Random sets in econometrics

How to divide when there isn't enough : from Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation

On the shoulders of giants : colleagues remember Suzanne Scotchmer's contributions to economics

Advances in economics and econometricsVolume 2

Analysis of Panel Data : 646

Advances in econometrics: Fifth World Congress : no. 13

Dynamic models for volatility and heavy tails: with applications to financial and economic time series : ESM 52

Advances in economics and econometrics: tenth world congress. (Econometrics) : 51

Ignorance and Uncertainty : 61

Ignorance and Uncertainty : 61

How to Divide When There Isn't Enough: From Aristotle, the Talmud, and Maimonides to the Axiomatics of Resource Allocation : 62

Advances in Economics and Econometrics: Volume 1: Eleventh World Congress : 58

A theory of fairness and social welfare

Essays in Econometrics: Volume 1, Spectral Analysis, Seasonality, Nonlinearity, Methodology, and Forecasting: Collected Papers of Clive W. J. Granger

Analysis of panel data : 54

Repeated Games : 49

Repeated games : 49

Advances in economics and econometrics: theory and applications : eighth world congress. : Vol. 1

Revealed preference theory : 56

Advances in Economics and Econometrics: Volume 3, Econometrics: Tenth World Congress : 49

Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series : ESM 52

Advances in Economics and Econometrics: Volume 2: Eleventh World Congress : 58-59

Regression Analysis of Count Data : 53

Advances in Economics and Econometrics: Volume 2, Applied Economics: Tenth World Congress : 49

Advances in Economics and Econometrics. Volume 2 Eleventh World Congress : 59

Quantile regression

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