Studies evaluating incentive programs for residential energy efficiency are examined to assess the roles of the size and type of incentive and of nonfinancial aspects of the programs and to infer lessons for policy. Larger incentives are found to increase participation, but marketing and...

We identify behavioral questions that arise with 4 kinds of policy interventions for energy efficiency in buildings: information, incentives, standards, and technological research and development. A general strategy is described for answering such questions by using 6 analytical methods: formal...

Although the asset data from the Health and Retirement Study (HRS) is of very high quality, there is sufficient noise to frustrate attempts to study saving behaviour by examining wave-to-wave change in wealth. In this research, we attempt to reduce noise by means of reactive-dependent...

In this paper we develop a theory of the survey response decision process and apply it to the analysis of field office policy measures in an attempt to see which of these are effective in reducing panel attrition. We use data from the Health and Retirement Study (HRS) to assess the effectiveness...

We summarize the available evidence on the extent to which expenditures on early childhood education programs constitute worthy social investments in the human capital of children. We provide an overview of existing early childhood education programs, and then summarize results from a...

We examine long-term neighborhood effects on low-income families using data from the Moving to Opportunity (MTO) randomized housing-mobility experiment, which offered some public-housing families but not others the chance to move to less-disadvantaged neighborhoods. We show that 10-15 years...

Effective early childhood intervention and child care policies should be based on an understanding of the effects of child care quality and type on child well-being. This article describes methods for securing unbiased estimates of these effects from nonexperimental data. It focuses on...

Fixed- and random-effects models are often used to control for unmeasured personspecific effects when examining the influence of measured covariates on an outcome. To date, different estimators are used for fixed- and random-effects models, making it difficult to choose between these two...