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This chapter analyses the effect of cultural differences among ethnic groups on the remittance behaviour of native and immigrant households in Canada. In contrast to the New Economic of Labour Migration (NELM) literature that examines remittance motivation in the framework of extended family agreements, we embed remittances in a formal demand system, suggesting that they represent expenditures on social relations with relatives and/or friends and contribute to membership in social/religious organisations respectively. The results indicate strong ethnic group cultural differences in the remittance behaviour of recent Asian immigrant households and highlight the importance of differentiating with respect to cultural background when analysing the determinants of remittances.

This chapter investigates the impacts of households’ residential self-selection, parents’ perceptions and travel patterns on their children’s daily travel mode shares, among single parent households.

To capture the complexity of the relationships between parent and children daily travel mode choices, an integrated model structure is introduced and the model estimated with simultaneous equation modelling.

The results show that, beside the daily activity-travel engagements of the parent, both parent’s perceptions and his/her residential self-selection reasons play significant roles in influencing their children daily travel mode shares. The parent’s perceptions play more significant roles in influencing children’s travel modes shares, whilst the residential self-selection reasons have more significant influence on the parent’s travel mode choice.

The finding of this study reveals a fact that wherever the children live, their travel behaviour tend to be ‘neutral’ and open to influence by their parents throughout their childhood.

This study adds to our understanding of the interactions between parents’ attitudes and behaviours with their children’s travel patterns. This study focuses on single parent households, on which there is very little literature.

The question of whether, and to what extent, Chicago price theory is Marshallian is a large one, with many aspects. The theory of individual behavior is one of these, and the treatment of altruism, or, more generally, other-regarding behavior, falls within this domain. This chapter explores the analysis of other-regarding behavior in the work of Alfred Marshall and Gary Becker with a view to drawing out the similarities and differences in their respective approaches. What emerges is sense that we find in Becker’s work important commonalities with Marshall but also significant points of departure and that the line from Marshall to modern Chicago is neither as direct as it is sometimes portrayed, nor as faint as it is sometimes claimed by Chicago critics.

Database marketers often select households for individual marketing contacts using information on past purchase behavior. One of the most common methods, known as RFM variables approach, ranks households according to three criteria: the recency of the latest purchase event, the long-run frequency of purchases, and the cumulative dollar expenditure. We argue that RFM variables approach is an indirect measure of the latent purchase propensity of the customer. In addition, the use of RFM information in targeting households creates major statistical problems (selection bias and RFM endogeneity) that complicate the calibration of forecasting models. Using a latent trait approach to capture a household's propensity to purchase a product, we construct a methodology that not only measures directly the latent propensity value of the customer, but also avoids the statistical limitations of the RFM variables approach. The result is a general household response forecasting and scoring approach that can be used on any database of customer transactions. We apply our methodology to a database from a charitable organization and show that the forecasting accuracy of the new methodology improves upon the traditional RFM variables approach.

Saving is essential to the health of economies and households, yet relatively little scholarship investigates saving behaviors among the urban working class in the nineteenth century. This chapter uses five surveys of industrial workers in 1880s New Jersey, an analysis of which reveals sophisticated saving behaviors consistent with life-cycle and precautionary theories. The mean saving rate was between 8% and 12% of annual income. Younger households saved less than older households. Householders with longer expected careers, on average, saved less. Life insurance and fraternal societies were the most popular saving vehicles, but workers also used savings banks and building and loan associations, alone and in combination.

Purpose — The paper reports on a research project exploring new approaches for analysing travel demand induced by changes in generalised costs of travel and activity participation. The description of the survey approach, which to our knowledge is novel in its application, reports descriptive analyses of the respondents' reactions to the changes implied in the household interviews.

Methodology — A sample of respondents were administered a 5 day travel diary, from which 1 day was selected for further analysis. Travel times for trips conducted that day were changed using predefined heuristics based on the household characteristics to attain significant changes in the generalised costs of the reported trips. Respondents were then presented with these hypothetical scenarios in face-to-face interviews. All household members were asked to state how the implied changes would have affected their activity scheduling on the specified day, i.e. to adapt their reported schedule to the new conditions.

Findings — The postulated induced travel effect could be observed, in that the modifications to the generalised costs of travel affect the respondents' travel patterns in general, and the number and durations of conducted out-of-home activities in particular. However, the predominant reaction to changing travel times is the adaptation of departure time, which does not directly interfere with trip generation. Indicators of the effects have been shown, and are quite weak as far as activity generation effects are concerned. The activities most likely to be re-planned are leisure activities and sojourns at the home location, as is consistent with expectations.

Based on empirical patterns of annual earnings and saving from new micro-data covering a large sample of American workers around a hundred years ago, we develop a model for simulating the cross-section distribution of wealth at the turn of the twentieth century. Our methodology allows for a direct comparison with the wealth distribution from a sample of families in a comparable part of the contemporary income distribution. Our primary finding is that patterns of wealth accumulation among American workers at the turn of the century bear a striking resemblance to contemporary profiles.

Mauritius is a Small Island Development State (SIDS) with limited resources, and it has been witnessed that many containers used for storing household and industrial products are made from plastic. When discarded as waste, those plastic containers pose a serious environmental and economic challenge for Mauritius. Moreover, landfill space is getting increasingly scarce, and plastic waste is contaminating both land and water. Therefore, it is of the utmost necessity to develop solutions for Mauritius' plastic wastes. Due to its abundance and accessibility, plastic waste is a promising material for recycling and energy production. One potential solution is the use of machine learning and artificial intelligence (AI) to predict household plastic consumption, allowing policymakers to design effective strategies and initiatives to reduce plastic waste. Such information is a critical component to be able to efficiently plan for the collection and routing of trucks when collecting recyclable plastics. The development of new strategies for the recycling of plastic waste and development of new industry can address the import and export potential of the country to achieve self-sustainability as well as contribute to reduction in plastic pollution and amount of waste landfilled. These plastics can thereafter be used effectively for recycling and for the making of 3D printing filaments which fall under the SDGs 9 (Industry, Innovation and Infrastructure) and 12 (Responsible consumption and production).