lpirfs: An R Package to Estimate Impulse Response Functions by Local Projections

P. Adämmer
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引用次数: 21

Abstract

Impulse response analysis is a cornerstone in applied (macro-)econometrics. Estimating impulse response functions using local projections (LPs) has become an appealing alternative to the traditional structural vector autoregressive (SVAR) approach. Despite its growing popularity and applications, however, no R package yet exists that makes this method available. In this paper, I introduce lpirfs, a fast and flexible R package that provides a broad framework to compute and visualize impulse response functions using LPs for a variety of data sets.
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一个用局部投影估计脉冲响应函数的R包
脉冲响应分析是应用(宏观)计量经济学的基础。利用局部投影(lp)估计脉冲响应函数已成为传统结构向量自回归(SVAR)方法的一种有吸引力的替代方法。尽管它越来越流行,应用程序也越来越多,但是,目前还没有R包支持这种方法。在本文中,我介绍了lpirfs,这是一个快速灵活的R包,它提供了一个广泛的框架,可以使用lp计算和可视化各种数据集的脉冲响应函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Iterated and Exponentially Weighted Moving Principal Component Analysis Instrumental Variable Estimation of Large Panel Data Models with Common Factors lpirfs: An R Package to Estimate Impulse Response Functions by Local Projections A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples Network-Constrained Covariate Coefficient and Connection Sign Estimation
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