How have women been empowered by gender-focussed development projects in post-Taliban Afghanistan? : reviewing the literature which incorporates the critical consideration of two gender focussed development projects : a research report presented in partial fulfilment of the requirements for the degree of Master of International Development in Development Studies at Massey University, Palmerston North, New Zealand

This research report examines the empowerment approach within the Gender and Development (GAD) discussion, providing an emphasis on women’s empowerment as an instrument of post-conflict reconstruction in post-Taliban Afghanistan. Utilising a comprehensive literature review, the report establishes the framework of Naila Kabeer as a consistent base for the comparing and contrasting of two gender-focussed development programmes in Afghanistan. The contextual background of empowerment programmes pursued over the past decade in Afghanistan are presented with an examination of the challenges and opportunities encountered pursuing women’s political, economic, social and psychological empowerment. A specific consideration of the New Zealand-led Provincial Reconstruction Team in Bamyan Province, Afghanistan, and the Community Development Council initiative within the Afghanistan National Solidarity Programme is undertaken. The report concludes that while there have been enormous symbolic advances for women’s political empowerment in the national sphere, the more private and local the sphere examined: the less decision-making agency Afghani women are empowered to exercise. While seeking to provide opportunities for women’s economic empowerment the programmes have made little practical change to women’s income or financial agency. The two gender-focussed programmes examined have made significant compromises to the extremities of the local context, and are considered ‘gender accommodating’ rather than ‘gender transformative’. The large body of literature concerning Afghanistan substantiates that the road to gender equity will stretch across the generations and is necessarily gradual to remain sustainable. As Afghanistan enters further political turmoil, the empowerment attained by Afghani women in the past decade must be expressly guarded

A millimeter-wave radiometer for detecting microbursts

This paper describes a millimeter-wave radiometer for the detection of wind shear from airborne platforms or at airport terminals. This proposed instrument will operate near the group of atmospheric oxygen absorptions centered near 60 GHz, which it will use to sense temperature from a distance. The instrument will use two channels to provide two different temperature measurements, providing the basis for solution of two equations in two unknowns, which are range to the wind shear plume and its temperature. A third channel will measure ambient atmospheric temperature. Depending on the temperature difference between the wind-shear plume and ambient, the standard deviation of range measurement accuracy is expected to be about 1 km at 5 km range, while the temperature measurement standard deviation will be about one-fourth the temperature difference between plume and ambient at this range. The instrument is expected to perform usefully at ranges up to 10 km, giving adequate warning of the presence of wind shear even for high performance jet aircraft. Other atmospheric hazards which might be detected by this radiometer include aircraft wakes and vortices, clear-air turbulence, and wind rotors, although the latter two phenomena would be detected by an airborne version of the instrument. A separate radiometer channel will be provided in the proposed instrument to detect aircraft wakes and vortices based on perturbation of the spectrum of microscopic atmospheric temperature fluctuations caused by the passage of large aircraft

Racial Sorting and Neighborhood Quality

In cities throughout the United States, blacks tend to live in significantly poorer and lower-amenity neighborhoods than whites. An obvious first-order explanation for this is that an individual%u2019%u2019s race is strongly correlated with socioeconomic status (SES), and poorer households can only afford lower quality neighborhoods. This paper conjectures that another explanation may be as important. The limited supply of high-SES black neighborhoods in most U.S. metropolitan areas means that neighborhood race and neighborhood quality are explicitly bundled together. In the presence of any form of segregating preferences, this bundling raises the implicit price of neighborhood amenities for blacks relative to whites, prompting our conjecture -- that racial differences in the consumption of neighborhood amenities are significantly exacerbated by sorting on the basis of race, given the small numbers of blacks and especially high-SES blacks in many cities. To provide evidence on this conjecture, we estimate an equilibrium sorting model with detailed restricted Census microdata and use it to carry out informative counterfactual simulations. Results from these indicate that racial sorting explains a substantial portion of the gap between whites and blacks in the consumption of a wide range of neighborhood amenities -- in fact, as much as underlying socioeconomic differences across race. We also show that the adverse effects of racial sorting for blacks are fundamentally related to the small proportion of blacks in the U.S. metropolitan population. These results emphasize the significant role of racial sorting in the inter-generational persistence of racial differences in education, income, and wealth.

Separate When Equal? Racial Inequality and Residential Segregation

This paper hypothesizes that segregation in US cities increases as racial inequality narrows due to the emergence of middle-class black neighborhoods. Employing a novel research design based on life-cycle variations in the relationship between segregation and inequality, we test this hypothesis using the 1990 and 2000 Censuses. Indeed, increased black educational attainment in a city leads to a significant rise in the number of middle-class black communities and segregation for older adults both in the cross-section and over time, consistent with our hypothesis. These findings imply a negative feedback loop that inhibits reductions in racial inequality and segregation over time.

Residential Segregation in General Equilibrium

This paper studies the causes and consequences of racial segregation using a new general equilibrium model that treats neighborhood compositions as endogenous. The model is estimated using unusually detailed restricted Census microdata covering the entire San Francisco Bay Area, and in combination with a rich array of econometric estimates, serves as a powerful tool for carrying out counterfactual simulations that shed light on the causes and consequences of segregation. In terms of causes, and contrasting with prior research, our GE simulations indicate that equalizing income and education across race would be unlikely to result in significant reductions in racial segregation, as minority households would sort into newly formed minority neighborhoods. Indeed, among Asian and Hispanic households, segregation increases. In terms of consequences, this paper provides the first evidence that sorting on the basis of race gives rise to significant reductions in the consumption of local public goods by minority households and upper-income minority households in particular. These consumption effects are likely to have important intergenerational implications.Segregation, General Equilibrium, Endogenous Sorting, Urban Housing Market, Locational Equilibrium, Counterfactual Simulation, Discrete Choice

An Equilibrium Model of Sorting in an Urban Housing Market: The Causes and Consequences of Residential Segregation

This paper presents a new equilibrium framework for analyzing economic and policy questions related to the sorting of households within a large metropolitan area. We estimate the model using restricted-access Census data that precisely characterize residential and employment locations for households the San Francisco Bay Area, yielding accurate measures of preferences for a wide variety of housing and neighborhood attributes across different types of household. We use these estimates to explore the causes and consequences of racial segregation in general equilibrium. Our results indicate that, given the preference structure of households in the Bay Area, the elimination of racial differences in income and wealth would significantly increase the residential segregation of each major racial group, as the equalization of income leads, for example, to the formation of new wealthy, segregated Black and Hispanic neighborhoods. We also provide evidence that sorting on the basis of race itself (whether driven by preferences or discrimination) leads to large reductions in the consumption of housing, public safety, and school quality by Black and Hispanic households.Segregation, Sorting, Housing Markets, Locational Equilibrium, Residential Choice, Discrete Choice

An Equilibrium Model of Sorting in an Urban Housing Market

This paper introduces an equilibrium framework for analyzing residential sorting, designed to take advantage of newly available restricted-access Census microdata. The framework adds an equilibrium concept to the discrete choice framework developed by McFadden (1973, 1978), permitting a more flexible characterization of preferences than has been possible in previously estimated sorting models. Using data on nearly a quarter of a million households residing in the San Francisco Bay Area in 1990, our estimates provide a precise characterization of preferences for many housing and neighborhood attributes, showing how demand for these attributes varies with a household's income, race, education, and family structure. We use the equilibrium model in combination with these estimates to explore the effects of an increase in income inequality, the findings indicating that much of the increased spending power of the rich is absorbed by higher housing prices.

What Drives Racial Segregation? New Evidence Using Census Microdata

This paper sheds new light on the forces that drive residential segregation on the basis of race, assessing the extent to which across-race differences in other household characteristics can explain a significant portion of observed racial segregation. The central contribution of the analysis is to provide a transparent new measurement framework for understanding segregation patterns. This framework allows researchers to characterize patterns of segregation, to decompose them in meaningful ways, and to carry out partial equilibrium counterfactuals that illuminate the contributions of a variety of non-race characteristics in driving segregation. We illustrate our approach using restricted micro-Census data from the San Francisco Bay Area that provide a rich joint distribution of household and neighborhood characteristics not previously available to the research community. In contrast to findings in the prior literature, our analysis indicates that individual household characteristics can explain a considerable fraction of segregation by race, explaining almost 95% of segregation for Hispanic, over 50% for Asian, and 30% for White and Black households.Residential Segregation, Racial Segregation, Sorting, Housing Markets

A Unified Framework for Measuring Preferences for Schools and Neighborhoods

This paper develops a comprehensive framework for estimating household preferences for school and neighborhood attributes in the presence of sorting. It embeds a boundary discontinuity design in a heterogeneous model of residential choice to address the endogeneity of school and neighborhood attributes. The model is estimated using restricted-access Census data from a large metropolitan area, yielding a number of new results. First, households are willing to pay less than one percent more in house prices -- substantially lower than previous estimates -- when the average performance of the local school increases by five percent. Second, much of the apparent willingness to pay for more educated and wealthier neighbors is explained by the correlation of these sociodemographic measures with unobserved neighborhood quality. Third, neighborhood race is not capitalized directly into housing prices; instead, the negative correlation of neighborhood race and housing prices is due entirely to the fact that blacks live in unobservably lower quality neighborhoods. Finally, there is considerable heterogeneity in preferences for schools and neighbors: in particular, we find that households prefer to self-segregate on the basis of both race and education.