Two-stage Self-Updating Unsteady POD-ROM Based on Least Squares Residual Minimization

Trust was found to promote entrepreneurship in the US. We investigated whether this was true in a developing country, Indonesia. We failed to replicate this; this failure was true whether trust was estimated at the individual or community level or whether ordinary least squares (OLS) or two stage least squares (2SLS) was employed. We reconciled the difference between our results and those for the US by arguing that the weak enforcement of property rights in developing countries and the consequent hold-up problem make it more efficient for entrepreneurs to produce generic goods than relationship-specific goods—producing generic goods does not depend on trust.

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An introduction to model implied instrumental variables using two stage least squares (MIIV-2SLS) in structural equation models (SEMs).

Psychological Methods ◽

10.1037/met0000297 ◽

2021 ◽

Author(s):

Kenneth A. Bollen ◽

Zachary F. Fisher ◽

Michael L. Giordano ◽

Adam G. Lilly ◽

Lan Luo ◽

...

Keyword(s):

Least Squares ◽

Instrumental Variables ◽

Structural Equation ◽

Structural Equation Models ◽

Two Stage ◽

Two Stage Least Squares

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Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

ComTech Computer Mathematics and Engineering Applications ◽

10.21512/comtech.v5i2.2277 ◽

2014 ◽

Vol 5 (2) ◽

pp. 810

Author(s):

Rokhana Dwi Bekti ◽

David David ◽

Gita N ◽

Priscillia Priscillia ◽

Serlyana Serlyana

Keyword(s):

Economic Growth ◽

Least Squares ◽

Least Squares Estimation ◽

Two Stage ◽

Two Stage Least Squares ◽

Regional Product ◽

The Relationship ◽

Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

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Profile Inferences on Restricted Additive Partially Linear EV Models

Abstract and Applied Analysis ◽

10.1155/2013/594391 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9

Author(s):

Xiuli Wang

Keyword(s):

Least Squares ◽

Asymptotic Distribution ◽

The Other ◽

Finite Sample ◽

Test Statistic ◽

Two Stage ◽

Chi Square ◽

Partially Linear ◽

Profile Least Squares ◽

Restricted Estimator

We consider the testing problem for the parameter and restricted estimator for the nonparametric component in the additive partially linear errors-in-variables (EV) models under additional restricted condition. We propose a profile Lagrange multiplier test statistic based on modified profile least-squares method and two-stage restricted estimator for the nonparametric component. We derive two important results. One is that, without requiring the undersmoothing of the nonparametric components, the proposed test statistic is proved asymptotically to be a standard chi-square distribution under the null hypothesis and a noncentral chi-square distribution under the alternative hypothesis. These results are the same as the results derived by Wei and Wang (2012) for their adjusted test statistic. But our method does not need an adjustment and is easier to implement especially for the unknown covariance of measurement error. The other is that asymptotic distribution of proposed two-stage restricted estimator of the nonparametric component is asymptotically normal and has an oracle property in the sense that, though the other component is unknown, the estimator performs well as if it was known. Some simulation studies are carried out to illustrate relevant performances with a finite sample. The asymptotic distribution of the restricted corrected-profile least-squares estimator, which has not been considered by Wei and Wang (2012), is also investigated.

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