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Viewpoint: Estimating the Causal Effects of Policies and Programs

Smith, Jeffrey A.; Sweetman, Arthur - 2016

Estimation, inference and interpretation of the causal effects of programs and policies have all advanced dramatically over the past 25 years. We highlight three particularly important intellectual trends: an improved appreciation of the substantive importance of heterogeneous responses and of...

Persistent link: https://www.econbiz.de/10011525039

Size matters? Impact evaluation of business development grants on SME performance

Srhoj, Stjepan; Lapinski, Michael; Walde, Janette F. - 2019

Many international organisations emphasize the need of public grant schemes evaluations. An evaluation provides the opportunity to assess the socio-economic impact achieved by the grant and allows for a refinement of such policy instruments in order to make public funding more effective in...

Persistent link: https://www.econbiz.de/10012140890

Latent heterogeneity in the marginal propensity to consume

Lewis, Daniel J.; Melcangi, Davide; Pilossoph, Laura - 2019

We estimate the distribution of marginal propensities to consume (MPCs) using a new approach based on the fuzzy C-means algorithm (Dunn 1973; Bezdek 1981). The algorithm generalizes the K-means methodology of Bonhomme and Manresa (2015) to allow for uncertain group assignment and to recover...

Persistent link: https://www.econbiz.de/10012144745

Finite sample evaluation of causal machine learning methods: Guidelines for the applied researcher

Naghi, Andrea A.; Wirths, Christian P. - 2021

average treatment effects and individual treatment effects reveal information on the characteristics of the methods and the …

Persistent link: https://www.econbiz.de/10012797248

Exploring the Heterogeneous Effects of State Price Transparency Laws on Charge Prices, Negotiated Prices, and Operating Costs

Linde, Sebastian; Siebert, Ralph - 2021

To limit the dramatic growth of U.S. health care expenditures, some states have mandated that medical providers publicly report their charge prices. Our study evaluates the heterogeneous effects of this price transparency policy. We use a comprehensive database that covers more than 2,000...

Persistent link: https://www.econbiz.de/10012799648

Distributional Impact Analysis: Toolkit and Illustrations of Impacts beyond the Average Treatment Effect

Bedoya, Guadalupe; Bittarello, Luca; Davis, Jonathan; … - 2018

Program evaluations often focus on average treatment effects. However, average treatment effects miss important aspects of policy evaluation, such as the impact on inequality and whether treatment harms some individuals. A growing literature develops methods to evaluate such issues by examining...

Persistent link: https://www.econbiz.de/10011931828

Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments

Heiler, Phillip; Knaus, Michael C. - 2022

Binary treatments are often ex-post aggregates of multiple treatments or can be disaggregated into multiple treatment versions. Thus, effects can be heterogeneous due to either effect or treatment heterogeneity. We propose a decomposition method that uncovers masked heterogeneity, avoids...

Persistent link: https://www.econbiz.de/10013426429

Social norms and individual climate protection activities: A framed field experiment for Germany

Engler, Daniel; Gutsche, Gunnar; Simixhiu, Amantia; … - 2022

the causal effect of related information interventions on revealed climate protection activities, measured through … information about individual climate protection activities in Germany, injunctive social norms by provid-ing information about …-dence that information about both descriptive and injunctive social norms increases donations for climate protection. The …

Persistent link: https://www.econbiz.de/10013427779

A Complete Framework for Model-Free Difference-in-Differences Estimation

Henderson, Daniel J.; Sperlich, Stefan - 2022

We propose a complete framework for model-free difference-in-differences analysis with covariates, where model-free means data-driven, in particular nonparametric estimation and testing, variable and scale choice. We start with searching for the preferred data setup by simultaneously choosing...

Persistent link: https://www.econbiz.de/10014296543

The Effects of Remedial Mathematics on the Learning of Economics: A Natural Experiment

Lagerlöf, Johan N.M.; Seltzer, Andrew J. - Department of Economics, Royal Holloway University of London - 2007

This paper examines the effects of remedial mathematics on performance in university-level economics courses using a natural experiment. We study exam results prior and subsequent to the implementation of a remedial mathematics course that was compulsory for a sub-set of students and unavailable...

Persistent link: https://www.econbiz.de/10005489948