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The distribution of personal wealth in the Republic of Ireland has not been estimated since the 1970s. While the publication of those estimates did lead to governmental attempts to redistribute wealth, the attempts were stifled by the opposition of powerful interest groups. Highlights the dearth of information on the distribution of wealth in Ireland since then and draws attention to the underlying social, political and economic reasons. Postulates that the reasons for this paucity of information are: the perceived irrelevance of the wealth distribution as an indicator of welfare; the problems normally associated with the available estimation techniques; consequent search costs; and inevitably strong opposition to the governmental attempts to redistribute should evidence of high inequality be produced. In the tradition of Tawney and Titmuss, argues that it is in the interest of a healthy society that the facts regarding such an issue be known.

The catch word “Globalization” has been defended by advocates for lifting people out of poverty and the inequality in the world. But it has been criticized by opponents for failing to solve the problem of poverty, inequality, and for increasingly creating wealth disparity. This raises the question. The fact is that the contemporary world exhibits very high levels of inequality of income and wealth both between countries and within countries. Wealth inequality is more pronounced than that of income inequality across the globe and within-countries. Evidence suggests that rising inequality and wealth disparity arising out of globalization drive is choking off the potential benefits to the poor. In this backdrop, a composite assessment has been made in the present chapter to answer the question “whether globalization with its particular ideology, the market fundamentalism has benefited many and whether the performance on the distributional front has really been impressive.” From facts and evidence, the study finds that inequalities in income and wealth, also in wages have widened in many developed, developing developed, and developing countries. Technological change and globalization are their main sources.

Measuring risk aversion is sensitive to assumptions about the wealth in subjects’ utility functions. Data from the same subjects in low- and high-stake lottery decisions allow estimating the wealth in a pre-specified one-parameter utility function simultaneously with risk aversion. This paper first shows how wealth estimates can be identified assuming constant relative risk aversion (CRRA). Using the data from a recent experiment by Holt and Laury (2002a), it is shown that most subjects’ behavior is consistent with CRRA at some wealth level. However, for realistic wealth levels most subjects’ behavior implies a decreasing relative risk aversion. An alternative explanation is that subjects do not fully integrate their wealth with income from the experiment. Within-subject data do not allow discriminating between the two hypotheses. Using between-subject data, maximum-likelihood estimates of a hybrid utility function indicate that aggregate behavior can be described by expected utility from income rather than expected utility from final wealth and partial relative risk aversion is increasing in the scale of payoffs.

Purpose – The purpose of this chapter is to assess the role of the wealth-to-income ratio in forecasting housing risk premium.

Methodology/approach – To investigate this issue, the chapter uses the residuals of the trend relationship among asset wealth and labor income to predict future real housing returns. It shows that deviations of asset wealth from its cointegrating relationship with labor income, wy, track time-variation in expected housing returns.

Findings – Using data for a set of industrialized countries, this chapter finds that if agents are hit by a shock that generates a fall in the wealth-to-income ratio, they will demand (i) a higher housing risk premium when housing assets are complements of financial assets and (ii) a lower housing risk premium when housing assets are substitutes of financial assets.

Originality/value of chapter – The findings of this chapter are novel in the field of alternative finance and, in particular, durable (housing) finance. Indeed, they build on a representative agent's theoretical model to infer about the degree of substitution or complementarity between financial and housing assets, which, in turn, can be useful at developing investment strategies for hedging against the risk of unfavorable housing fluctuations. Additionally, they open a new research avenue for understanding the determinants of housing risk premium by linking the dynamics of asset wealth and labor income with the behavior of future housing returns.

Purpose – This chapter explores the relationship between religious affiliation and wealth ownership focusing on generational differences.

Methodology – I use data from the National Longitudinal Survey of Youth and the Health and Retirement Study to create descriptive statistics and regression analyses of the association between religious affiliation in childhood and adulthood for people of two cohorts.

Findings – This chapter shows that there are important patterns by religious affiliation in total net worth, real assets, and asset allocation across generations. My findings are consistent with past work on religion and wealth ownership showing that Jews, mainline Protestants, and white Catholics tend to have higher total wealth than other groups. In addition, I find that black Protestants, Hispanic Catholics, and conservative Protestants tend to have relatively low wealth, consistent with research on religion, race/ethnicity, and wealth. My findings also show that these patterns are relatively robust across generations.

Research implications – The findings are relevant to research on inequality, wealth accumulation and saving, life course processes, and the effect of religion on stratification outcomes.

Originality/Value – This research shows how religious affiliation and wealth are related across generations.

The purpose of this study is to comparatively analyze the effect of dividend policy on shareholders’ wealth in Shariah-compliant (SC) and noncompliant (NC) nonfinancial firms in Pakistan.

All the nonfinancial firms listed on the Pakistan stock exchange have been taken as a sample for 2016–2021. The Karachi Meezan index screening criteria were applied to screen SC firms. Based on the BPLM and Hausman test results, the authors used the fixed-effect and pooled OLS model for SC and NC firms, respectively. The F-test was used to compare the effect of each dividend policy variable on shareholders’ wealth for both firm types.

The findings reveal that the dividend policy does affect the shareholders’ wealth in both firm types. Dividend per share (DPS), dividend yield (DY) and earnings per share significantly affect the shareholders’ wealth in SC firms. For NC firms, the dividend payout, DPS and DY are critical. Moreover, the F-test results show that the DPS, DY and leverage effect on the shareholders’ wealth significantly differ for both firm types.

This study fills the research gap in the Pakistani context specifically as well as globally by providing important insights into the relationship between a firm’s dividend policy and shareholders’ wealth for SC and NC firms. In addition, this study comprehensively compares the results for both firm types, which is also lacking in the existing literature. Because this study is based in Pakistan, the generalizability of the results would be limited.

The findings of this study are helpful for the management of SC and NC firms in devising their dividend policies that can maximize their shareholders’ wealth. This study also provides guidance and knowledge to investors in choosing companies for their investments that can maximize their wealth.

To the best of the authors’ knowledge, this is the first study that analyzes the relationship between dividend policy and shareholders’ wealth for SC firms in Pakistan. It is also the first study that comprehensively compares the dividend policy relationship with shareholders’ wealth for SC and NC firms. In addition, using the F-test for joint hypotheses to compare the specific effect of each dividend policy variable is a methodological contribution of the study.

It is not easy to get a long perspective on the distribution of wealth in Sweden because there is no single data source that gives a consistent view for a long period of time. The early estimates of the distribution of wealth were based on the concept of tax-assessed wealth which is the basis of the wealth tax. This definition has the disadvantage of not including assets that were not taxed, and no or very unreliable data were given for the majority of the tax payers who were below the taxation threshold. Furthermore, this variable was defined for individuals and for jointly taxed individuals, but no economically meaningful household concept was available. Register data have since then improved, in particular after the late 1990s when data became available directly from banks, brokers, and insurance companies without the filtering of the tax payers. The problem with the household definition remains, but in SESIM we have made corrections to get a useful definition (see Chapter 3). A relatively large survey (HEK) run by Statistics Sweden which combines survey information about the household with register data on assets estimates the median household wealth to 156000 SEK in 1999 and 197000 SEK in 2003.² The latter estimate is in the 1999 price level.³ These estimates apply to all households independent of age. As will be shown below, the level of wealth depends very much on age.

The study of the upper tail of the income and wealth distributions is important to the understanding of economic inequality. By means of the ‘isograph’, a new tool to describe income or wealth distributions, the authors compare wealth and income and wealth-to-income ratios in 16 European countries and the United States using data for years 2013/2014 from the Eurozone Household Finance and Consumption Survey and the US Survey on Consumer Finance. Focussing on the top half of the distribution, the authors find that for households in the top income quintile, wealth-to-income ratios generally increase rapidly with income; the association between high wealth and high incomes is highest among the highest percentiles. There is generally a positive relationship between median wealth in the country and the wealth of the top 1%. However, the United States is an outlier where the median wealth is relatively low but the wealth of the top 1% is extremely high.

Purpose – Study the investment and risk management approach of sovereign wealth funds when national wealth including natural resources is accounted for rather than only financial asset.

Methodology/Approach – Using a range of widely used asset classes, we simulate sovereign wealth fund returns when considering only financial assets but also under varying levels of national wealth holdings in oil. We optimize two-asset financial portfolios and three-asset portfolios when including oil to maximize the risk-adjusted returns.

Findings – Sovereign wealth funds by failing to invest for the national wealth portfolio are overlooking a major source of volatility. To reduce the level of volatility associated with yearly national wealth returns, allocating a higher percentage of fixed assets to high-quality fixed income and low-risk equities will maximize the risk-adjusted returns of national wealth for sovereign wealth fund states.

Social implications – By focusing solely on the financial assets managed by sovereign wealth funds, states are exposing themselves to significant national wealth risk.

Originality/Value of the paper – This is the first work to estimate the impact on national wealth of oil-dependent states by failing to account for volatile commodity prices through the investment strategies of sovereign wealth funds.