Results 51 to 60 of about 783,235 (208)

Robust Two-Stage Least Squares: some Monte Carlo experiments [PDF]

The Two-Stage Least Squares (2-SLS) is a well known econometric technique used to estimate the parameters of a multi-equation (or simultaneous equations) econometric model when errors across the equations are not correlated and the equation(s) concerned ...
Mishra, SK
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Two-Sample Two-Stage Least Squares (TSTSLS) estimates of earnings mobility: how consistent are they? [WP] [PDF]

, 2014
Academics and policymakers have shown great interest in cross-national comparisons of intergenerational earnings mobility. However, producing consistent and comparable estimates of earnings mobility is not a trivial task.
Choi Mendizábal, Álvaro B. (Álvaro Borja), Jerrim, John, Simancas Rodríguez, Rosa   +2 more
core  

Inference for Instrumental Variables: A Randomization Inference Approach

, 2018
The method of instrumental variables (IV) provides a framework to study causal effects in both randomized experiments with noncompliance and in observational studies where natural circumstances produce as-if random nudges to accept treatment ...
Kang, Hyunseung, Keele, Luke, Peck, Laura   +2 more
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Two-sample bi-directional causality between two traits with some invalid IVs in both directions using GWAS summary statistics

HGG Advances
Summary: Mendelian randomization (MR) is a widely used method for assessing causal relationships between risk factors and outcomes using genetic variants as instrumental variables (IVs).
Siyi Chen
doaj   +1 more source

Economic Returns to Schooling for China’s Korean Minority [PDF]

This paper examines economic returns to schooling for China’s Korean minority in the urban labour market using ordinary least squares (OLS) and two-stage least squares.
Russell Smyth, vinod Mishra
core  

The smog of exercise: the causal effect of air pollution on fitness behaviors

Frontiers in Public Health
With the rapid development of industrialization and urbanization in China, air pollution has become an increasingly serious problem, and people are increasingly concerned about its impact on personal physical and mental health.
Wen Cao, Tianyu Gao, Chen Ao, Huijun Xiong, Na Li   +4 more
doaj   +1 more source

Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators

, 2018
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models.
Bollen, Kenneth A., Fisher, Zachary F., Henry, Teague R.   +2 more
core  

Effect of household use of butane gas on deforestation in Burkina Faso

Cogent Economics & Finance
The objective of this work is to analyze the effect of household use of butane gas on deforestation in Burkina Faso using data from the household living conditions survey carried out in 2021 by the National Institute of Statistics and Demography on a ...
Moulirou Belem, Tibi Didier Zoungrana
doaj   +1 more source

Assessing causal treatment effect estimation when using large observational datasets

BMC Medical Research Methodology, 2019
Background Recently, there has been a heightened interest in developing and evaluating different methods for analysing observational data. This has been driven by the increased availability of large data resources such as Electronic Health Record (EHR ...
E. R. John, K. R. Abrams, C. E. Brightling, N. A. Sheehan   +3 more
doaj   +1 more source

MODEL NON REKURSIF DALAM ANALISIS JALUR

Jurnal Matematika UNAND, 2020
Analisis jalur adalah suatu teknik penggambaran dan pengujian model hubungan antar variabel yang berbentuk sebab akibat, yang dikembangkan dari analisis regresi sebagai metode untuk mempelajari pengaruh langsung atau tidak langsung dari variabel bebas ...
DINIE ANEFI HAJARA, IZZATI RAHMI HG, FERRA YANUAR   +2 more
doaj   +1 more source