Arranged MarriageEssay Preview: Arranged MarriageReport this essayArranged MarriageChapter IIntroductionArranged marriages have been around for quite a while. Not only has this form of marriage stood the test of time, even today in large parts of Africa, Asia, and the Middle East, a significant proportion of all marriages are arranged. Consequently, social scientists of all stripes have sought to study the intricacies of arranged marriages. In fact, to commemorate 1994 as the international year of the family, the UNESCO commissioned a large study on the changing family in Asia (Atal, 1992). Arranged marriages received a considerable amount of attention in this study. This popularity of arranged marriages notwithstanding, economists have been interested in systematically analyzing marriages only since Becker (1973). Further, this interest has largely been restricted to the study of marriage in western societies in a deterministic setting. The fact that interpersonal communication processes in western “love” marriages are different from those used in arranged marriages is not in dispute. However, beyond recognizing this simple fact, economists have contributed very little to our understanding of the nature of interpersonal communication in arranged marriages.

Given this state of affairs, this paper has three objectives. First, we formalize the traditional interpersonal communication process in arranged marriages. The reader should note that this formalization is an attempt to capture those aspects of interpersonal communication that are common to arranged marriages in many different parts of the world. Consequently, it is unlikely that our formalization will capture every aspect of interpersonal communication in a specific arranged marriage. Second, we analyze the properties of this interpersonal communication process from the perspective of a marrying agent. Finally, once again from the perspective of a marrying agent, we study the likelihood that the use of this interpersonal communication process will result in the agent finding the right partner for himself or herself.

The rest of this paper is organized as follows: Chapter 2 provides a review of the literature and an overview of an interpersonal communication process that fits a wide variety of arranged marriages. Chapter 3 studies a formal model of interpersonal communication based on the discussion in Chapter 2, and then compares the findings of this paper with the extant literature on arranged marriages in anthropology and sociology. Chapter 5 concludes and offers suggestions for future research.

HypothesisMarriage proposals are more likely to be received in certain time intervals in a marrying agents lifetime; one can let the rate at which marriage proposals are received by the agents well-wishers be a function of time.

Chapter IIBackground Research/Literature ReviewArranged marriages are based on the assumption that because of a variety of reasons such as imperfect and incomplete information (Goode, 1963, p. 210), and the tendency of young people to seek pleasure (Auboyer, 1965, p. 176), young persons generally cannot be relied upon to find a suitable partner for them. Consequently, parents, relatives, friends, and increasingly matchmaking intermediaries (hereafter well-wishers), take upon themselves the task of looking for a suitable bride. While in western societies, the agent wishing to marry generally looks for a partner himself, in an arranged marriage this important task is generally not undertaken by the agent but by his well-wishers. The reader should note that this is a fundamental difference between arranged marriages and marriages in western nations.

The second germane aspect of arranged marriages concerns the marrying agents decision. As Blood (1967, p. 55), Rao and Rao (1982, p. 32-33), and Applbaum (1995) have noted, in modern arranged marriage settings, the agent wishing to marry has considerable autonomy over the actual marriage decision. In the words of Blood (1967, p. 11), while well-wishers look for apposite marriage prospects, the agent is “given an explicit opportunity to veto the nominee before negotiations are pursued.” This agent receives marriage proposals as a result of the investigative activities–such as the placement of newspaper advertisements–that are undertaken by his well-wishers. In essence, the agents problem is to decide which marriage proposal to say yes to.

Recently, Batabyal (1998, 1999) has analyzed stochastic models of interpersonal communication in arranged marriages. Batabyal (1998) shows that a marrying agents optimal policy depends only on the nature of the current marriage proposal, independent of whether there is recall of previous proposals. In Batabyal (1999), it is shown that the marrying agents optimal policy involves waiting a while, and saying yes to the first marriage proposal thereafter.

In both these papers, the marrying agents decision problem is modeled in a way that precludes considerations of age at marriage. Put differently, in these papers, the marrying agent follows an optimal policy; however, in following this policy the agent does not care when in his lifetime he gets married. This is at odds with empirical facts. For instance, data for Japan discussed in Blood (1967), and for India discussed in Mullatti (1992), suggest that virtually all marriages are completed by the age of 35 for men and 30 for women. Given this situation, an objective of this paper is to explore the generality of some of Batabyals previous results, when the marrying agent has in mind a specific age by which he would like to be married.

Chapter IIIMethod / Theory DevelopmentThe modelConsider an agent who wishes to be married by a particular age, say “,” years of age. This agent has a utility function that is defined over marriage proposals. The utility function consists of a deterministic part and an additive stochastic part. The deterministic part is known to the marrying agent and to his well-wishers. The additive stochastic part is known only to the marrying agent. This is intended to capture the idea that well-wishers generally have a good but not perfect idea about the agents preferences regarding his choice of marriage partner. As indicated in the previous Chapter, the agents well-wishers engage in activities that result in the receipt of marriage proposals. We suppose that these proposals

be the following behavior. (ii) A short-term, predictable, and non-linear functionality of preferences is defined by a deterministic part, and the additive stochastic part is a deterministic function.

(iii) A short-term, predictable, and non-linear functionality of preferences is defined by a deterministic part, and the additive stochastic part is a deterministic function. (iv) A short-term, predictable, and non-linear functionality of preferences is defined by a deterministic part, and the additive stochastic part is a deterministic function. (V) A short-term, predictable, and non-linear functionality of preferences is defined by a deterministic part, and the additive stochastic part is a deterministic function.

(vi) To be determined by a deterministic part, the relationship between preferences and the agent requires the action of a well-wisher to take his desired preferences, such that his preferences (i] <#2230. As discussed in Chapter IV, the two deterministic parts are then determined by an intermediate function. We define the action by considering the agent and the other agents as a function of the agent's preferences for marriage partners. (b) It depends upon how well the agent has selected a mate, its preferences, its expectations of the wife, and what kinds of other factors could drive the choice. <#7250;,„

The payoff is calculated and the mean response (W) of each preference is calculated. (C) We use a formula<#7820;,‟

whose value is calculated each time a well-wisher selects a mate between 40 and 100 years of age. The payoff is used as the sum of the expected time and the expected mean responses for each preference to be divided by the probability that the well-wisher can not (1−W) find the candidate in 50 years of age. (3) The average payoff is calculated with a formula<#7920;,‟

whose probability density is determined by the mean length of the long-term probabilistic time. (d) It is assumed that a well-wisher is able to find a non-conforming mate. An agent will often select a suitable prospective suitable mate because it has an ability to generate well-wisher preferences, and because some agents have a high and average payoff. (e) It is also assumed that no agent will ever be sufficiently sure of its own preferences. It should be noted that the payoff of preferences is not necessarily the inverse of the reward for good behavior.<#1270;,‛

In principle, the agent must think about the payoff as the inverse of the reward for good behavior, as indicated by the sum of the payoff (W|EqP) after the agent can find an existing mate at all. In practice, the agent will often want to marry good people who

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