Panel Data Models with Time-varying Latent Group Structures

Panel Data Models with Time-varying Latent Group Structures
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : OCLC:1391984501
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Panel Data Models with Time-varying Latent Group Structures by : Yiren Wang

Download or read book Panel Data Models with Time-varying Latent Group Structures written by Yiren Wang and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Panel Data Models with Time-varying Latent Group Structures Related Books

Panel Data Models with Time-varying Latent Group Structures
Language: en
Pages: 0
Authors: Yiren Wang
Categories:
Type: BOOK - Published: 2023 - Publisher:

DOWNLOAD EBOOK

Latent Curve Models
Language: en
Pages: 312
Authors: Kenneth A. Bollen
Categories: Mathematics
Type: BOOK - Published: 2005-12-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this ti
Longitudinal and Panel Data
Language: en
Pages: 492
Authors: Edward W. Frees
Categories: Business & Economics
Type: BOOK - Published: 2004-08-16 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Panel Data Econometrics
Language: en
Pages: 434
Authors: Mike Tsionas
Categories: Business & Economics
Type: BOOK - Published: 2019-06-19 - Publisher: Academic Press

DOWNLOAD EBOOK

Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illumina
Large-dimensional Panel Data Econometrics: Testing, Estimation And Structural Changes
Language: en
Pages: 167
Authors: Feng Qu
Categories: Business & Economics
Type: BOOK - Published: 2020-08-24 - Publisher: World Scientific

DOWNLOAD EBOOK

This book aims to fill the gap between panel data econometrics textbooks, and the latest development on 'big data', especially large-dimensional panel data econ