Sons,Daughters or Both?: An Analysis of Family Sex Composition Preferences in the Philippines

An analysis of family sex composition preferences as well as the relationship between actual family sex composition and desire for no additional children among a national sample of Filipino women is presented. An emphasis on balance or son-daughter equivalence is strongest in Metropolitan Manila. Son preference is highest in rural Mindanao and Sulu, primarily due to the concentration of Muslims in this section of the country and secondarily to its pioneer environment and the presumed utility of sons in such a milieu. The importance of eliciting sex composition preferences from both husbands and wives as well as distinguishing the “striking for a balance” from sex-linked preferences in future research is discussed.     

Environmental Protection,Population Change,and Economic Development in the Rural Western United States

This research analyzes the relationship between protected federal lands (wilderness, national parks, national monuments and roadless areas) and nearby communities in the rural western United States. Opponents of environmental protection claim that protected lands limit the growth of nearby communities by locking up potentially valuable natural resources and restricting mining, logging and grazing. Others claim that extractive industries are no longer the backbone of rural economies— instead, the presence of protected federal lands encourages growth by attracting tourists and new residents. A geographic information system is used to calculate the proportion of protected lands occurring within 50 miles of the center of each western county. This calculation, in combination with detailed county-level data, indicates that environmental protection is correlated with relatively rapid population growth and with relatively rapid income and employment growth.     

Urban poverty and health in developing countries: Household and neighborhood Effects

In the United States and other high-income countries, there is intense scholarly and programmatic interest in the effects of household and neighborhood living standards on health. Yet few studies of developing-country cities have explored these issues. We investigated whether the health of urban women and children in poor countries is influenced by both household and neighborhood standards of living. Using data from the urban samples of 85 Demographic and Health Surveys and modeling living standards using factor-analytic MIMIC methods, we found that the neighborhoods of relatively poor households are more heterogeneous than is often asserted. Our results indicated that poor urban households do not tend to live in uniformly poor neighborhoods: about 1 in 10 of a poor household’s neighbors is relatively affluent, belonging to the upper quartile of the urban distribution of living standards. Do household and neighborhood living standards influence health? Using multivariate models, we found that household living standards are closely associated with three health measures: unmet need for modern contraception, attendance of a trained health care provider at childbirth, and young children’s height for age. Neighborhood living standards exert a significant additional influence in many of the surveys we examined, especially for birth attendance.     

Unravelling Subjective Quality of Life: An Investigation of Individual and Community Determinants

Subjective quality of life is a popular measureof outcomes across fields as disparate asmedical research, community and healthpsychology and sociology. Its widespread usehas led to recent calls for a betterunderstanding of the psychological determinantsof the construct, emphasising the need to builda substantial body of knowledge around whatdetermines and impacts on perceptions of lifequality if it is to live up to currentexpectations as an outcome variable. This studyused two likely determinants of quality oflife, an individual level variable, loneliness,and a community level variable, aspects ofsense of community, and investigated theirassociation with subjective quality of life.Confidence in the results of the study wasstrengthened by repeating it in two separatetowns, matched on fundamental demographicvariables. The results revealed that subjectivequality of life was consistently associatedwith the individual level variable, loneliness,in both towns. Lonely people consistentlyreported significantly lower quality of life,particularly in the domains of intimacy,community involvement and emotional well-being.Once loneliness had been accounted for, thecommunity level variables showed much weaker,and generally no association with reportedquality of life. The importance of continuingto empirically identify variables that impactupon subjective quality of life is discussed.     

An alternative sampling strategy for obtaining child health data in a reproductive health survey

Retrospective demographic surveys typically collect substantial information about child health. This information is often collected for all children born during a specified period. For women with several young children, the interview can become quite long. To shorten the interview, some surveys have asked child health questions only for the last child born. However, data on the last birth may be biased because last children have a younger age distribution and have longer subsequent birth intervals than does the average child. In this paper, we propose an alternative approach to collecting child health data - that child health questions be asked only for a child chosen randomly from among the respondent's children younger than age five. This alternative has the advantage of keeping the interview shorter but does not lead to biased information.Abbreviations DHS Demographic and Health Surveys     

Does Manufacturing Still Matter?

Although employment in the manufacturing sector has declined over the past few decades, it continues to play an important role in many regions of the U.S. Most studies have not examined the spatial effects of manufacturing employment on regional job quality. In this paper, we consider the spatial dependence and spatial variation of this relationship in the Midwest. This analysis suggests that it is important to take into consideration spatial effects when examining the implications of economic restructuring for regions. Labor market areas are not distinct spatial units and can be influenced significantly by nearby local labor markets. Once that spatial dependence is considered, manufacturing has a negative and significant effect on underemployment by low earnings, but its effect is not significant in labor hardship associated with work time and steadiness. At the same time, our analysis demonstrates that the effects of manufacturing employment vary across local labor markets. More specifically, these findings suggest that in those areas in the Midwest that have historically had higher concentrations of manufacturing jobs, the benefits of working in this sector are smaller. In regions that have not had a large manufacturing sector and have experienced some gains in recent years, the benefits of working in the manufacturing sector are larger.     

Temporal and spatial variation in age-specific net migration in the United States

As fertility differences in the United States diminish, population redistribution trends are increasingly dependent on migration. This research used newly developed county-level age-specific net migration estimates for the 1990s, supplemented with longitudinal age-specific migration data spanning the prior 40 years, to ascertain whether there are clear longitudinal trends in age-specific net migration and to determine if there is spatial clustering in the migration patterns. The analysis confirmed the continuation into the 1990s of distinct net migration "signature patterns" for most types of counties, although there was temporal variation in the overall volume of migration across the five decades. A spatial autocorrelation analysis revealed large, geographically contiguous regions of net in-migration (in particular, Florida and the Southwest) and geographically contiguous regions of net out-migration (the Great Plains, in particular) that persisted over time. Yet the patterns of spatial concentration and fragmentation over time in these migration data demonstrate the relevance of this "neighborhood" approach to understanding spatiotemporal change in migration.     

Incentivising trust

We argue that trust can be incentivised by measures which increase the ability of trusters to protect themselves against risk. We work within the framework originally established by Berg, Dickhaut, and McCabe (1995) in which trust is measured experimentally as the ability to generate reciprocity in response to an initial offer of money within a two-person game. An incentive is conveyed both by means of variations in the multiplier applied to the first player’s initial offer and by giving the first player the opportunity to insure themselves against the possibility that the second player will fail to reciprocate their initial offer. Measured trust is strongly responsive to both these incentives. Thus third parties have the ability to influence the outcome of the game, not only, as in the analysis of Charness, Cobo-Reyes, and Jimenez (2008), by punishing failure to reciprocate and rewarding ‘good’ initial offers, but also by offering protection which strengthens the first player’s risk efficacy, or ratio of assets to risk.