کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5095441 | 1478575 | 2017 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics
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کلمات کلیدی
D31C32C26L10J24I20C57C01C70D83E24J21C22D90C78C14J60D44C36C33C23d20Instrument - ابزارFixed effects - اثرات ثابتConditional independence - استقلال مشروطBelief - اعتقادDynamic discrete choice - انتخاب گسسته پویاEndogeneity - اندوژنیتType - تایپ کنیدMatching - تطابقmultiple equilibria - تعادل چندگانهErrors-in-variables - خطاها در متغیرهاincome dynamics - دینامیک درآمدNonparametric identification - شناسایی غیر پارامتریlatent variable - متغیر غیرواقعیMeasurement error model - مدل خطای اندازه گیریPanel data model - مدل دادههای پانلMixture model - مدل مخلوطHidden Markov model - مدل پنهان مارکوف learning model - مدل یادگیریUnobserved heterogeneity - ناهمگونی ناشناختهUnemployment rates - نرخ بیکاری
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
This paper reviews the recent developments in nonparametric identification of measurement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to an observed distribution. The identification and estimation of measurement error models focus on how to obtain the latent distribution and the measurement error distribution from the observed distribution. Such a framework is suitable for many microeconomic models with latent variables, such as models with unobserved heterogeneity or unobserved state variables and panel data models with fixed effects. Recent developments in measurement error models allow very flexible specification of the latent distribution and the measurement error distribution. These developments greatly broaden economic applications of measurement error models. This paper provides an accessible introduction of these technical results to empirical researchers so as to expand applications of measurement error models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Econometrics - Volume 200, Issue 2, October 2017, Pages 154-168
Journal: Journal of Econometrics - Volume 200, Issue 2, October 2017, Pages 154-168
نویسندگان
Yingyao Hu,