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We study the effect of interview modes on estimates of economic inequality which are based on survey data. We exploit variation in interview modes in the Austrian EU-SILC panel, where between 2007 and 2008 the interview mode was switched from personal interviews to telephone interviews for some but not all participants. We combine methods from the program evaluation literature with methods from the distributional decomposition literature to obtain causal estimates of the effect of interview mode on estimated inequality. We find that the interview mode has a large effect on estimated inequality, where telephone interviews lead to a larger downward bias. The effect of the mode is much smaller for robust inequality measures such as interquantile ranges, as these are not sensitive to the tails of the distribution. The magnitude of effects we find are of a similar order as the differences in many international and intertemporal comparisons of inequality.  相似文献   
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This mixed methods exploratory study illustrates the influence of pervasive misconceptions about Islam on the experiences of 314 adult Muslims across the United States. Quantitative results suggest that Muslim stress levels are comparable to the stress levels of other marginalized groups in the United States. Qualitative analysis revealed four themes that highlight the challenges faced by Muslims as well as their resiliency in the face of microaggressions and marginalization. Family therapists may utilize these personal accounts to expand their understanding of Muslim experiences, and to reflect on their own implicit biases toward Muslims in order to reduce chances of premature termination. Clinical implications include using resiliency‐based models and creating collaborative partnerships with community leaders when working with this religious minority group.  相似文献   
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We explore microdata from the OECD/INFE survey on financial literacy of adult individuals. We find considerable differences in financial literacy across countries and decompose them into a part explainable by varying individual characteristics and a remainder. We show that individual characteristics matter with regard to differences in average financial literacy, but do not fully explain the gaps. We decompose financial literacy across its distribution and directly relate it to different policies. We then correlate the unexplained differences to institutional macroeconomic variables. We find strong correlations between unexplained differences and life expectancy, social contributions rate, PISA math scores, and internet usage, suggesting room for harmonization of environments across countries to close the financial literacy gap.

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