| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w16332
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| 来源ID | Working Paper 16332
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| Assessing Inherent Model Bias: An Application to Native Displacement in Response to Immigration |
| Giovanni Peri; Chad Sparber
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| 发表日期 | 2010-09-02
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| 出版年 | 2010
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| 语种 | 英语
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| 摘要 | There is a long-standing debate among academics about the effect of immigration on native internal migration decisions. If immigrants displace natives this may indicate a direct cost of immigration in the form of decreased employment opportunity for native workers. Moreover, displacement would also imply that cross-region analyses of wage effects systematically underestimate the consequences of immigration. The widespread use of such area studies for the US and other countries makes it especially important to know whether a native internal response to immigration truly occurs. This paper introduces a microsimulation methodology to test for inherent bias in regression models that have been used in the literature. We show that some specifications have built biases into their models, thereby casting doubt on the validity of their results. We then provide a brief empirical analysis with a panel of observed US state-by-skill data. Together, our evidence argues against the existence of native displacement. This implies that cross-region analyses of immigration's effect on wages are still informative. |
| 主题 | Labor Economics
; Unemployment and Immigration
; Regional and Urban Economics
|
| URL | https://www.nber.org/papers/w16332
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/574007
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推荐引用方式
GB/T 7714 |
Giovanni Peri,Chad Sparber. Assessing Inherent Model Bias: An Application to Native Displacement in Response to Immigration. 2010.
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文件名：
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w16332.pdf
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格式：
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Adobe PDF
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