The rise and spread of female labour force participation at the US county level

IF 1.5 3区经济学 Q2 ECONOMICS

Spatial Economic Analysis Pub Date : 2022-10-14 DOI:10.1080/17421772.2022.2123111

Ioanna Tziolas, J. Elhorst

引用次数: 1

Abstract

ABSTRACT In 2011, Fogli and Veldkamp adopted a time–space recursive spatial econometric model to investigate whether the female labour force participation rate varies with past participation rates in their own and in contiguous US counties, based on decennial data over the period 1940–2000, but their results are problematic. The applied estimators are different from the provided descriptions, the predicted contributions of the control variables are not in line with expectations, and the coefficients of the temporal and spatiotemporal lags of the dependent variable indicate instability. This replication study demonstrates that a dynamic spatial econometric model with common factors yields more convincing results in favour of the postulated model.

查看原文本刊更多论文

美国县一级女性劳动力参与率的上升和扩大

2011年，Fogli和Veldkamp采用了一个时空递归的空间计量经济学模型，基于1940-2000年期间的十年数据，研究了他们自己和美国相邻县的女性劳动力参与率是否随过去的参与率而变化，但他们的结果存在问题。应用的估计量与提供的描述不同，控制变量的预测贡献与期望不一致，因变量的时间和时空滞后系数表明不稳定。这项重复性研究表明，具有共同因素的动态空间计量经济模型产生了更令人信服的结果，有利于假设模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Spatial Economic Analysis ECONOMICS-

CiteScore

5.40

自引率

21.70%

发文量

期刊介绍： Spatial Economic Analysis is a pioneering economics journal dedicated to the development of theory and methods in spatial economics, published by two of the world"s leading learned societies in the analysis of spatial economics, the Regional Studies Association and the British and Irish Section of the Regional Science Association International. A spatial perspective has become increasingly relevant to our understanding of economic phenomena, both on the global scale and at the scale of cities and regions. The growth in international trade, the opening up of emerging markets, the restructuring of the world economy along regional lines, and overall strategic and political significance of globalization, have re-emphasised the importance of geographical analysis.