Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The essays in this volume provide new readings of Kant’s account of human nature.Despite the relevance of human nature to Kant’s philosophy, little attention has been paid to the fact that the question about human nature originally pertains to pure reason. The chapters in this volume show that Kant’s point is not to state once and for all what the human being actually is, but to unite pure reason’s efforts within a unitary teleological perspective. The question about human nature is the cornerstone of reason’s unity in its different activities and domains. Kant’s question about human nature goes beyond our empirical inquiries to show that the notion of humanity represents the point of convergence and unity of pure reason’s most fundamental interests.Kant on Freedom and Human Nature will appeal to scholars and advanced students working on Kant’s philosophy.

Liberté --- Philosophie de la nature. --- Philosophie. --- Kant, Immanuel, --- Critique et interprétation.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

We consider impulse response inference in a locally misspecified stationary vector autoregression (VAR) model. The conventional local projection (LP) confidence interval has correct coverage even when the misspecification is so large that it can be detected with probability approaching 1. This follows from a "double robustness" property analogous to that of modern estimators for partially linear regressions. In contrast, VAR confidence intervals dramatically undercover even for misspecification so small that it is difficult to detect statistically and cannot be ruled out based on economic theory. This is because of a "no free lunch" result for VARs: the worst-case bias and coverage distortion are small if, and only if, the variance is close to that of LP. While VAR coverage can be restored by using a bias-aware critical value or a large lag length, the resulting confidence interval tends to be at least as wide as the LP interval.