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摘要翻译：
实证增长分析有三个主要问题--变量选择、参数异质性和横截面依赖性--在大多数研究中都是相互独立解决的。本研究的目的是提出一个完整的框架，扩展传统的线性增长回归模型，以允许参数异质性和截面误差依赖，同时进行变量选择。我们还在低维和高维下推导了估计量的渐近性质，并通过Monte Carlo仿真进一步研究了估计量的有限样本性能。我们将该框架应用于1960年至2014年期间89个国家的数据集。我们的结果揭示了一些以往研究中没有的跨国模式（如“中等收入陷阱假说”、“自然资源诅咒假说”、“宗教通过信仰而不是实践起作用”等）。
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英文标题：
《An Integrated Panel Data Approach to Modelling Economic Growth》
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作者：
Guohua Feng and Jiti Gao and Bin Peng
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最新提交年份：
2019
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
Empirical growth analysis has three major problems --- variable selection, parameter heterogeneity and cross-sectional dependence --- which are addressed independently from each other in most studies. The purpose of this study is to propose an integrated framework that extends the conventional linear growth regression model to allow for parameter heterogeneity and cross-sectional error dependence, while simultaneously performing variable selection. We also derive the asymptotic properties of the estimator under both low and high dimensions, and further investigate the finite sample performance of the estimator through Monte Carlo simulations. We apply the framework to a dataset of 89 countries over the period from 1960 to 2014. Our results reveal some cross-country patterns not found in previous studies (e.g., "middle income trap hypothesis", "natural resources curse hypothesis", "religion works via belief, not practice", etc.).
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PDF链接：
https://arxiv.org/pdf/1903.07948
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