Contrasting approaches to statistical regression in ecology and economics

Contrasting approaches to statistical regression in ecology and economics
复制标题

生态学和经济学中统计回归的对比方法

DOI:
10.1111/j.1365-2664.2009.01628.x
复制
发表时间:
2009
影响因子:
5.7
通讯作者:
Armsworth P
Armsworth P
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Armsworth P

文献摘要

参考文献

被引文献

相似文献

1. 保护和自然资源管理的挑战既是生物问题,也是社会问题。认识到这一事实,生态学家和经济学家越来越紧密地合作。我们讨论了两个学科有效整合的一个障碍:简单地说,许多生态学家和经济学家采用不同的统计回归方法。2. 回归技术为土地管理决策的实证分析提供了最常用的方法。在制定回归分析时,每个学科的研究人员对一系列可能相互冲突的设计标准具有不同的重要性。3. 在设计回归时,生态学家通常比经济学家更重视空间自相关和简约性。经济学家往往比生态学家更重视对内生性和符合先验理论预期的关注。4. 合成与应用。不同设计特征的不同重要性可能反映了每个学科内部的文化漂移过程。更大的跨学科合作可以通过刺激跨学科界限的思想和技术流动来抵消这一过程。
1. Conservation and natural resource management challenges are as much social problems as biological ones. In recognition of this fact, ecologists and economists work increasingly closely together. We discuss one barrier to effective integration of the two disciplines: put simply, many ecologists and economists approach statistical regression differently. 2. Regression techniques provide the most commonly used approach for empirical analyses of land management decisions. Researchers from each discipline attribute differing importance to a range of possibly conflicting design criteria when formulating regression analyses. 3. Ecologists commonly attribute greater importance to spatial autocorrelation and parsimony than do economists when designing regressions. Economists often attribute greater importance than ecologists to concerns about endogeneity and conformance with a priori theoretical expectations. 4. Synthesis and applications. The differing importance attributed to different design characteristics may reflect a process of cultural drift within each discipline. Greater interdisciplinary collaboration can counteract this process by stimulating the flow of ideas and techniques across disciplinary boundaries.
宏观经济学中的预测失败和计量经济学模型:货币交易需求
DOI: --
发表时间: 2005
期刊:
影响因子: --
作者:
D. Hendry
通讯作者: D. Hendry
充满创伤的世界:生态学家与人类困境
DOI: --
发表时间: 1998
期刊:
影响因子: --
作者:
D. Tilman;P. Ehrlich
通讯作者: P. Ehrlich
DOI: 10.1006/jeem.1999.1096
发表时间: 2000-03-01
影响因子: 4.6
作者:
Leggett, CG;Bockstael, NE
通讯作者: Bockstael, NE