Research Papers

We explored the limitations of dynamic policy analysis, which uses models to evaluate the long-term effects of policy changes.

We aimed to understand the challenges of using models for long-term forecasting and policy planning in a complex and evolving economic environment.

We raise important concerns about the limitations of models and emphasize the need for caution in relying on them for long-term policy decisions.

We investigated the mixed empirical evidence on the deterrent effect of capital punishment and potential explanations for these inconsistencies.

Our findings can contribute to the ongoing debate about capital punishment and inform policy decisions regarding its use as a criminal deterrent.

We shed light on the complexities of measuring deterrence and highlight the need for careful consideration of various factors before drawing conclusions about capital punishment’s effectiveness.

We identified potential methodological pitfalls in using time series analysis to study the relationship between capital punishment and crime rates.

We wanted to improve the quality of research on capital punishment and prevent misleading conclusions based on flawed methodology.

We encourage rigorous methods in research on capital punishment and highlight the importance of considering potential biases and confounding factors.

We critically reviewed the literature on model uncertainty and its implications for empirical policy analysis in economics.

Our goal was to raise awareness of the challenges posed by model uncertainty and promote robust methods for policy evaluation under such conditions.

We highlight the importance of acknowledging and addressing model uncertainty to ensure reliable and informative policy recommendations.

We explored the presence of nonlinearities in economic growth and their implications for policy, considering how different growth regimes may require different policy responses.

We aimed to provide insights into the effectiveness of policy interventions by acknowledging and understanding the nonlinearities in economic growth processes.

Our recognition of nonlinearities in economic growth help policymakers tailor interventions to specific growth contexts, enhancing the precision and effectiveness of economic policies.

We explored the implications of complexity theory for economics and public policy, considering how complex systems thinking can enhance policy analysis.

Our goal was to integrate insights from complexity theory into economic and policy analysis, providing a more realistic framework for understanding and addressing complex social and economic phenomena.

We contribute to advancing the application of complexity theory in policy analysis, offering a more robust and adaptable approach to addressing real-world challenges.

We examined the inertia in taxpayers’ adjustments to income tax prepayments following changes in tax liability, analyzing how taxpayers’ prepayments change over time.

We aimed to investigate why many US taxpayers receive income tax refunds and to explore the role of inertia in their tax prepayment behavior, beyond the previously suggested precautionary and forced savings motives.

Our findings indicate that default withholding rules significantly impact consumption smoothing, especially for low-income taxpayers, suggesting that policies around withholding can have broader economic implications than previously understood.

We investigated the observational implications of taste-based discrimination in racial profiling, considering how biases in law enforcement decisions may manifest in observed data.

We aimed to provide insights into the challenges of identifying and addressing taste-based discrimination in racial profiling through statistical and econometric analysis.

We contribute to the understanding of the complexities involved in studying and combating racial profiling, emphasizing the importance of careful empirical analysis.

We explored the relationship between imprisonment and crime rates, considering the possibility of reducing both imprisonment rates and crime.

We wanted to challenge the prevailing notion that increasing imprisonment rates are the only effective strategy for reducing crime, suggesting alternative approaches.

We contribute to the debate on criminal justice policies, advocating for a balanced approach that considers both crime prevention and the social costs of imprisonment.

We reexamined the relationship between religion and economic growth, considering the impact of specific religious beliefs and practices on growth rates.

We aimed to provide a nuanced analysis of the role of religion in economic growth by investigating the detailed aspects of religious beliefs and practices, which previous research may have overlooked.

We contribute to a deeper understanding of the complex relationship between religion and economic growth, emphasizing the importance of considering specific aspects of religious influence for more accurate policy implications.