Wealth distribution and Pareto's law in the Hungarian medieval society

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Abstract

The distribution of wealth in the medieval Hungarian aristocratic society is studied and reported. Assuming the wealth of a noble family to be directly related to the size and agricultural potential of the owned land, we take the number of owned serf families as a measure of the respective wealth. Our data analysis reveals the power-law nature of this wealth distribution, confirming the validity of the Pareto law for this society. Since, in the feudal society, land was not commonly traded, our targeted system can be considered as an experimental realization of the no-trade limit of wealth-distribution models. The obtained Pareto exponent (α=0.92–0.95) close to 1, is in agreement with the prediction of such models.

Introduction

At the end of the XIX century the economist Vilfredo Pareto [1] discovered a universal law regarding the wealth/income distribution in societies. His measurement results on several European countries, kingdoms and cities for the XV–XIX centuries revealed that the cumulative distribution of income (the probability that the income of an individual is greater than a given value) exhibits a universal functional form. Pareto found that in the region containing the richest part of the population, generally less than 5% of the individuals, this distribution is well described by a power-law (see for example Ref. [2] for a review). The exponent of this power-law is denoted by α and named Pareto index. In the limit of low and medium wealth, the shape of the cumulative distribution is fitted by either an exponential or a log-normal function.

The power-law revealed by Pareto has been confirmed by many recent studies on the economy of several corners of the world. The presently available data is coming from so apart as Australia [3], Japan [4], [5], the US [6], continental Europe [7], [8], India [9] or the UK [10], [11]. The data is also spanning so long in time as ancient Egypt [12], Renaissance Europe [13] or the XX century Japan [14]. Since it is difficult to measure wealth, most of the available data comes from tax declarations of individual income. Empirical results are also available, which are based on a direct estimate of the wealth of individuals or institutions. The area of the houses in ancient Egypt [12], the inheritance taxation or the capital transfer taxes [15], [11], the size/wealth of firms [7] or wealth rankings provided by some popular magazines [9], [16] are examples of such studies. While wealth and income are related, one has to note that this relation is not a simple proportionality. The distribution of wealth is usually broader than the distribution of income, or equivalently, the Pareto index for wealth distribution is smaller than the corresponding one for income (see Ref. [9] as an example). In the present paper, we present and discuss empirical studies of wealth distribution in a medieval society—the Hungarian aristocratic society around the year 1550. In those times, the wealth of a nobleman was directly related to the size and agriculture potential of the lands he owned. To quantify this wealth, we take the number of owned serf (villein) families—a measure generally used by historians and for which well documented data exist. In a feudal society, land was not commonly traded. Moreover, in the Hungarian society, the family land was not divided among the children nor given as dowry—almost everything was inherited by the eldest son. The case under study offers thus a somehow idealized example of a system without a relevant wealth-exchange mechanism and may be taken as an experimental realization of the no-trade limit of current wealth-distribution models. Our results also give further evidence for the universal nature of Pareto's law.

Section snippets

Statistical physics approach to Pareto's law

Typically, the presence of power-law distributions is a hint for the complexity underlying a system, and a challenge for statistical physicists to model and study the problem. This is why Pareto law is one of the main problems studied in Econophysics. Since the value found by Pareto for the scaling exponent was around 1.5, Pareto law is sometimes related to a generalized form of Zipf's law [16] and referred to as Pareto–Zipf law. According to Zipf's law, many natural and social phenomena

Wealth distribution measurements in the Hungarian medieval society

To our knowledge, there is no available data concerning the wealth distribution and the Pareto law for the Central-Eastern European aristocratic medieval societies. A flourishing economic life, barter and wealth exchange developed very slowly in this part of Europe. A centralized and documented taxation system was also introduced relatively late. Furthermore, the wealth of the aristocratic families was attached to something which was not commonly traded: the land. During this ages, land was

Discussion and conclusions

Our study shows that the cumulative wealth distribution of the top Hungarian aristocratic families and institutions around the year 1550 exhibits a power-law shape with a Pareto index between 0.92 and 0.95. As mentioned in Section 2, a Pareto exponent equal to 1 is predicted both from a no-trade hypothesis and from exchange-based rules (with heterogeneous saving factors). The former assumption appears to us more adequate for modeling the social/economic situation under study, for the reasons

Acknowledgment

Z. Neda acknowledges a Nato Fellowship and the excellent working atmosphere at the Centro de Física do Porto. Research funded also by EU through FEDER/POCTI and the Sapientia KPI foundation.

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