کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
999598 936849 2011 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Values and limitations of statistical models
موضوعات مرتبط
علوم انسانی و اجتماعی اقتصاد، اقتصادسنجی و امور مالی اقتصاد، اقتصادسنجی و مالیه (عمومی)
پیش نمایش صفحه اول مقاله
Values and limitations of statistical models
چکیده انگلیسی

Methodological consequences of population heterogeneity for the sequential logit model in studies of education transitions are now well understood. There are two main mechanisms by which heterogeneity may cause biases to parameter estimates in sequential logit models: outcome incommensurability and population incommensurability. These methodological problems are intrinsic to the substantive research question and thus are not easily remediable with better statistical models. All statistical solutions require extra information in the form of additional data or additional assumptions. In some settings, the researcher may explicitly introduce a form of heterogeneity into the sequential logit model and then evaluate the model. In other settings, the researcher may wish to stay with the conventional sequential logit model and interpret the results descriptively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Research in Social Stratification and Mobility - Volume 29, Issue 3, September 2011, Pages 343–349
نویسندگان
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