Household Surveys,Consumption, and the Measurement of Poverty

Household surveys are playing an increasingly important role in the measurement of poverty and well-being around the world. The Living Standards Measurement Study, which was begun in the World Bank under the guidance of Graham Pyatt in 1979, has played an important role in this movement. Its surveys are widely used within the Bank to measure consumption-based poverty, and survey data are now the exclusive basis for the global poverty counts. This paper discusses a number of unresolved issues in using consumption-based surveys for measuring well-being, including the choice of a money-metric versus welfare-ratio approach, the collection of suitable price information, the effects of measurement error on estimation, and methods for correcting per capita consumption for the demographic structure of the household.     

Mobile diaries – Benchmark against metered measurements: An empirical investigation

Researchers seeking to study the relationships between consumers' communications, attitudes, and behaviors could benefit from monitoring consumers over time, across multiple locations and channels, and in a way that reflects consumers' subjective perceptions. Diaries on smartphones (mobile diaries) can be used as a research tool for such purposes. A mobile diary is a self-report instrument whereby people use their mobile handset to repeatedly report experiences of interest. Mobile diaries are increasingly used in psychology, geography, medicine, and commercial marketing. Yet they have rarely been used for quantitative marketing research, and were not benchmarked against best-practice metrics in marketing.In this study, we aim to set the ground for using mobile diaries in quantitative marketing research. We first lay out the theoretical infrastructure for the usage of mobile diaries, and describe possible respondent reporting concerns, including concerns related to non-reporting, reporting over time, and concerns stemming from individual-level heterogeneity.We demonstrate the potential of mobile diaries, as well as the importance of the various concerns, using a benchmark test case in the context of primetime TV viewing. Our benchmark uses a sample of respondents with both mobile diary viewing reports and Nielsen People Meter (NPM) records. Our analysis reveals that averaging across all conditions, 47.4%–64.7% of the NPM records are reported by the diary. The major sources for mismatch are random time periods without alarms, short viewings, and periodic reporting inactivity (pulsing). Concerns such as a decrease in reporting rates over time (e.g., fatigue), smartphone ownership, and demographic variation across individuals have relatively small effects on reporting likelihood. Analyzing the cases in which diary reports do not have a matching NPM record, we find many of them can be attributed to out-of-home viewing and viewing on non-metered devices. This finding demonstrates how mobile diaries can complement metered measurements. Overall, aggregate diary-based ratings have a 0.90 correlation with NPM ratings.We discuss implications for designing and using mobile diary studies in marketing.     

Recreation and the Environment as Cultural Dimensions in Contemporary American Society

This paper broadly explores changing outdoor recreation demands, environmental opinions and demographics in the United States. With this country's population predicted to more than double by the end of this century, it is imperative that we understand these trends and their implications for better managing our natural environment and providing opportunities for outdoor recreation in that environment. Using national survey data, we have described differences in recreation behavior (participation) and environmental attitudes nationwide across six socio-demographic factors-race, country of birth, rural-urban residence, region of the country, age and income. Results indicate that demographic differences, recreation activity choices and people's environmental positions are linked.     

Women,men and organic food: differences in their attitudes and willingness to pay. A Spanish case study

The main purpose of this work consists of displaying the different attitudes of men and women towards organic food, and their willingness to pay for it, in three different consumer intensities: usual, occasional and potential consumers. Several surveys have been carried out to obtain a representative sample of regular food purchasers living in Castilla‐La Mancha (Spain). Statistic analysis previously detecting significant differences with regard to gender and type of consumer has been conducted by univariate analysis to describe attitudes, and multivariate analysis, through ‘logit’ models, to calculate maximum willingness to pay. Results show that women have a more favourable attitude (directly related to their lifestyle) to the purchase and consumption of organic food than men, whereas men are inclined to pay a higher price for organic food than women. In general, men are disposed to pay a higher increase in price than women.     

Comparative research in industrial relations: helping the survey cross frontiers

There has been a relative dearth of comparative, cross-national research which has followed a survey-based approach. This partly reflects the difficulty that researchers encounter in collecting such information, either via primary collection or the secondary matching of existing survey material. This paper addresses these difficulties and suggests ways in which their impact can be minimized. It notes that such difficulties are much more severe in the case of secondary matching and are thereby likely to constrain the scope of this approach. They are not totally absent in primary collection and it is suggested that there are limits to what can be achieved during data collection to promote the development of like data-sets across countries. This indicates that great care must be taken in interpreting data so obtained. Despite such limits and cautions, it is nevertheless concluded that the survey approach can be an important adjunct to the process of understanding why the world of work varies across frontiers.     

Statistics by Gender: Measures to Reduce Gender Bias in Agricultural Surveys

Statistics by gender has been the concern of policy makers in the recent past years. The demand on data disaggregated by gender has led the survey statistician to collect data and tabulate statistics by gender. In this paper, some measures will be suggested to avoid and reduce gender bias for data collection and tabulation in agricultural surveys.     

Endogeneity in survey research

Endogeneity is a crucial problem in survey-based empirical research on marketing strategy (MS) and inter-organizational relationships (IORs); if not addressed, it can cause researchers to arrive at flawed conclusions and to offer poor advice to practitioners. Although the field is increasingly cognizant of endogeneity-related issues, many authors fail to properly address it, particularly in survey-based research. Emphasizing the role of essential heterogeneity, this article develops an overarching framework to help improve the understanding of endogeneity problems and how to tackle them when researchers use cross-sectional survey-based data. The authors provide explanations of and advice for how MS and IOR researchers can address six “painful” and sometimes hidden decisions: 1) Do you have an endogeneity problem? 2) What technique/estimator is appropriate? 3) What instrumental variables (IVs) should be chosen? 4) How should IVs be evaluated empirically? 5) How should the results be interpreted and evaluated? and 6) What results should you report? The authors provide a practical flowchart to guide researchers in their efforts to address endogeneity-related concerns.     

The upward trend in women’s college-going: the role of teenagers’ anticipated future labour force attachment

This article focuses on the role of teenagers’ anticipated labour force participation in explaining the upward trend in U.S. women’s college-going. A simple conceptual model implies that individuals with more anticipated lifetime hours of work are more likely to invest in college education. My analysis using data from three National Longitudinal Surveys supports the theoretical implication. This finding, combined with the trend towards higher work expectations of young women across birth cohorts, may account in part for the upward trends in women’s college attendance and completion.     

International propagation of shocks: A dynamic factor model using survey forecasts

This paper studies the pathways for the propagation of shocks across the G7 and major Asia-Pacific countries using multi-horizon forecasts of real GDP growth from 1995 to 2017. We show that if the forecasts are efficient in the long run, the results obtained using these forecasts are comparable to those obtained from the actual outturns. We measure global business cycle connectedness and study the impacts of both country-specific shocks and common international shocks using a panel factor structural VAR model. Our results suggest that there is a strong convergence of business cycles within the group of industrialized countries, as well as within the group of developing economies during non-recessionary periods. In particular, we find an increased decoupling between the industrialized and developing economies after the 2008 recession. However, the direction of shock spillovers during recessions and other crisis periods varies, depending on the nature and origin of the episode.     

Organizational innovation: The challenge of measuring non-technical innovation in large-scale surveys

Although the implementation of innovative organizational concepts is considered to be highly important for a company's competitiveness, so far there has been little research on possible approaches to measure and monitor organizational innovations in large-scale surveys. Based on an item-oriented typology of organizational innovations which serves as the precondition for a common understanding, we describe and compare how organizational innovations have been measured through existing surveys in Europe. Using a large-scale survey comprising data of 1450 German manufacturing companies, we show how these different approaches lead to significantly different results regarding the organizational innovativeness of companies within one and the same sample. We derive four implications for the future measurement and monitoring of organizational innovations. Our findings contribute to the further development of an adequate methodology for an organizational innovation monitoring system.