Estimating Macro-Relationships Using Micro-Data  

Oleh:

Krivo, Lauren J. ; Kaufman, Robert L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 19 no. 02 (Nop. 1990), halaman 196-224.
Topik: cross-level method; macro-relationship; Estimation
Fulltext: KRIVO-196-224; Bernard.pdf (2,38MB)

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Widespread recognition that many sociological processes occur at multiple levels has led researchers to search for valid forms of cross-level modeling such as contextual analysis. In this article. we propose an alternative cross-level method for examining the effects of macro-factors on macro-processes while controlling for processes at a lowerlevel of aggregation. This method applies existing statistical techniques but in a new fashion. It has the advantages of more precise control for lower-order effects. reduction of problems with degrees of freedom, and more error-free prediction of the higher-level relationships than using alternative estimation strategies. As a result. parameter estimates of the macro-level effects are more efficient. An empirical example studying macro-determinants of unemployment rates in states in rhe United States demonstrates rhat estimation of this model leads to more valid conclusions than more commonly used methods. .

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