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The purpose of this paper is to establish the predictors of consumers’ annual monetary expenditures on clothing and footwear in Quito, the capital of Ecuador, a developing Latin American country.

The research followed an exploratory, sequential, mixed methods design. The first phase consisted of in-depth interviews with adult individuals. The second phase involved surveying a similar segment of the population.

The present study supports the importance of demographic and psychological factors as predictors. The study also identifies two new groups of predictors: consumers’ reception of used clothing and physical space at home and its management.

In addition to demographic variables, consumer panels that measure expenditures on clothing and footwear should include psychological measures of participants, particularly clothing involvement. Clothing manufacturers and retailers in developing countries should consider the impact of receiving used clothes by consumers. Because clothing buying and disposal behaviors are positively associated, companies should become more involved in their customers’ disposal behavior.

The contribution of the present study is twofold. First, it contributes to the understanding of clothing and footwear expenditures by considering the individual consumer as a unit of analysis. Furthermore, it provides insights into this behavior from a little-studied context.

We construct a new consumer price index for Canada covering the period from 1870 to 1900. Unlike previous indexes, it includes prices of clothing and household furnishings. This is important because these previously neglected components accounted for roughly 20% of consumers' expenditures. Moreover, the price of cotton goods, the most important textile product used for clothing and household furnishings, fell by half between 1870 and 1900 (much faster than other components of the price level). This has ramifications for both the level and trend of Canadian GDP. Because the largest changes in estimation concern the 1870s, we show that the country grew substantially faster than generally believed. It outpaced the United States so much that it entered the twentieth century with an improved economic standing relative to its southern neighbor.

Many aspects of well-being depend critically on individual-level expenditure and consumption. The Millennium Development Goals include the promotion of gender equality and the empowerment of women, which partly have to do with women’s access to resources within households. Many important questions in labour, public and development economics also hinge on the intra-household distribution of resources. This paper aims to estimate the resource shares within a household in the rural and urban sectors of West Bengal through a collective household model, where each household member has a specific utility function. The sharing rule parameters, that determine the apportionment of resources between members within a household, are estimated in an intra-household collective framework. The analysis is based on a system of log-quadratic Engel curves estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian National Sample Survey Office (NSSO) for rural and urban sectors separately for the state of West Bengal.

The sharing rule parameters (that determine the apportionment of resources between members) within a household are estimated in an intra-household collective framework as suggested by Dunbar et al. (2013). The analysis is based on a Quadratic Almost Ideal Demand System (QUAIDS) estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian NSSO.

In this paper, the authors estimate the sharing rule of total household expenditure between couples in a household in the state of West Bengal. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.

This paper is an attempt to estimate the sharing rule for households using NSSO consumption expenditure data. This paper also highlights the intra household unequal resource allocation through the sharing rule. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.

The purpose of this paper is to model the relationships between women's outerwear consumption, frequency of purchase and consumer profiles, and to analyse historical changes in particular, using repeated cross‐sectional data on household expenditure.

A sample of over 20,000 female spenders, aged between 16 and 54 were extracted from UK Family Expenditure Survey (FES). Tobit model, “two‐part” model and pseudo‐panel model were used to estimate consumer demand for women's outerwear, taking infrequency of purchase into account.

The importance of “fashion” in clothing consumption has risen by two‐fold since the 1960s, measured by purchase probability. Clothing have transformed from durable goods to consumables. Youth, class and women's employment are found to be significantly related to fashion consumption, controlling for the rise in income.

The findings are limited to UK female consumers and to the demographic data that are available from FES. The effects of occasions, serendipity, emotions and weather remain to be assessed in future research.

This paper provides a unique measurement of “fashion” for a comparative social science research across time and space. It promotes the usefulness of the perspective of fashion as a powerful critique against the rationality assumption of neoclassical economics with complementary evidence.

This study investigated fashion involvement, pre‐purchase clothing satisfaction and clothing needs of petite and tall‐sized consumers. The differences between petite and tall‐sized consumers were compared, and the relationship among the three variables was examined. Petite and tall‐sized women's shopping characteristics were identified. The data were obtained through mail survey method. The final sample consisted of 177 petite and 144 tall women. Data were statistically analysed to fulfil the purpose of the study. Descriptive statistics, such as frequency, mean and standard deviation, were utilised to define the characteristics of the sample. Analysis of variance was tested to compare beliefs about clothing attributes. T‐test and analysis of covariance were utilised to determine if there is any difference between petite and tall women in terms of fashion involvement, pre‐purchase clothing satisfaction and clothing needs. Pearson Product Moment Correlation and Pearson Partial Correlation Coefficient were utilised to test the hypotheses. The results indicated significant but relatively low relationships among fashion involvement, pre‐purchase clothing satisfaction and clothing needs. Fashion involvement and clothing needs were positively correlated, while pre‐purchase clothing satisfaction and clothing needs were negatively correlated for both petite and tall‐sized women.

The accessories, footwear and hosiery industries have always been important complements to the apparel industry. While the demand for apparel has been studied fairly extensively, the demand for accessory items has been overlooked. To gain a better understanding of the demand for accessories, footwear, and hosiery, it is the purpose of this research to estimate expenditure equations for accessories, footwear and hosiery; and to profile the consumer characteristics of the purchasers and non‐purchasers of these items. An economic model of demand provides the theoretical framework. Expenditure equations are estimated using data from the 1990–91 Consumer Expenditure Survey. The results indicate that income, family size and education positively affect expenditures on accessories, footwear and hosiery while the results for age, occupation and region vary among the categories. The results have implications for producers and marketers of accessories, footwear and hosiery.

In this paper expenditures of families in Shanghai on 12 categories of clothing in four seasons were examined, based on data gathered from quarterly interviews with 292 families. It was found that there were differences among family members and among the four seasons in clothing expenditures. The relative market sizes of the various categories of clothes were also investigated.

The purpose of this paper is to explore factors affecting secondhand clothing acquisition among a sample of US female consumers based on an economic perspective.

This research is descriptive in nature, utilizing a survey of 500 US female consumers to explore relationships between five modes of secondhand clothing acquisition and selected consumer characteristics. Logistic regression was used to analyze the data.

The significant variables were income, age, number of toddlers and children ages 6-17 present in households, and sewing and repair skills. Income was found to be negatively related to purchasing secondhand clothing, suggesting that consumers view used clothing as an inferior good. Consumers in Gen Y were more likely to be involved in various means of secondhand clothing acquisition, holding income constant, than Baby Boomers.

Overcoming the stigma of inferiority associated with secondhand clothing, encouraging repair skills, and the repair of clothing, reaching out to consumers to build on their interest in DIY projects, and utilizing new technology (e.g. apps for sharing clothes) are practical implications.

The paper examined multiple modes of clothing acquisition rather than a single mode, and contributes insight regarding the economic concept of secondhand clothing as an inferior good.

With the signing of the North American Free Trade Agreement (NAFTA) in 1994, Mexico entered a bilateral free trade agreement which not only lowered its own tariffs on imports but also lowered tariffs on its exports to the United States. We find that women’s relative wage increased, particularly during the period of liberalization. Both between and within-industry shifts also favored female workers. With regards to between-industry shifts, tariff reductions expanded sectors that were initially female intensive. With regards to within-industry shifts, we find a positive association between reductions in export tariffs (U.S. tariffs on Mexican goods) and hiring of women in skilled blue-collar occupations. Finally, we find suggestive evidence that household bargaining power shifted in favor of women. Expenditures shifted from goods associated with male preference, such as men’s clothing and tobacco and alcohol, to those associated with female preference such as women’s clothing and education.