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Hofferth, Sayer lead Time Use Data for Health and Well Being
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R01 provides five years of funding to continue development of the IPUMS-Time Use tool
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Research
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Selected Research
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Hofferth, Sayer lead Time Use Data for Health and Well Being
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R01 provides five years of funding to continue development of the IPUMS-Time Use tool
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News
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Derek Kreager, Penn State University
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The Society of Female Captives: A Network Approach
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Coming Up
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Desai leads establishment of National Data Innovation Centre in New Delhi
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Far-reaching program will stimulate research, support graduate student development in India and U.S.
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Research
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Selected Research
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Chen research identifies benefits of local mental health services
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American Journal of Preventive Medicine article reports racial and ethnic minorities experience a disproportionate burden of co-existing mental, physical conditions
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Research
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Selected Research
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Payne-Sturges examines food insecurity among college students
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Two articles shine light on growing public health issue
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Research
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Selected Research
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State of Hispanic Race and Ethnicity: Census 2020 Changes and Implications For Addressing Social Inequalities
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Half-day Conference by Consortium on Race, Gender and Ethnicity and co-sponsored with MPRC
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Coming Up
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Astri Syse, Statistics Norway
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The role of family members' resources on an individual's health
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Coming Up
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Mieke Eeckhaut, University of Delaware
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Recent Trends and Patterns in the Use of Long-Acting Contraception in the United States
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Coming Up
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Factor Models and Time-Varying Parameter Framework for Forecasting Exchange Rates and Inflation: A Survey
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A survey of models used for forecasting exchange rates and inflation reveals that the factor‐based and time‐varying parameter or state space models generate superior forecasts relative to all other models. This survey also finds that models based on Taylor rule and portfolio balance theory have moderate predictive power for forecasting exchange rates. The evidence on the use of Bayesian Model Averaging approach in forecasting exchange rates reveals limited predictive power, but strong support for forecasting inflation. Overall, the evidence overwhelmingly points to the context of the forecasts, relevance of the historical data, data transformation, choice of the benchmark, selected time horizons, sample period and forecast evaluation methods as the crucial elements in selecting forecasting models for exchange rate and inflation.
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MPRC People
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Manouchehr (Mitch) Mokhtari, Ph.D.
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Mitch Mokhtari Publications
