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Questions tagged [sur]

SUR stands for "Seemingly Unrelated Regressions", an econometric technique for fitting several models (w/ different variables) simultaneously. SUR may be more efficient than fitting the models separately.

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Estimating the Rotterdam Demand System in R [closed]

I've come across R packages such as MicEconAids for estimating the almost ideal demand system. I was wondering if such a package exists for estimating the Rotterdam demand system as well. Does such a ...
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SURE is the best instrument for the analysis of simultaneous equation model?

I would want to make a study about the influence of some regressors in the evaluation of the effects of increment of subsidy in an economic sector. I would use SURE (Seemingly UnRelated Equations ...
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What is the difference between seemingly unrelated regression (SUR) and correcting a set of OLS results for multiple comparisons?

As I understand it, the the seemingly unrelated regressions (SUR) or seemingly unrelated regression equations (SURE) models estimate a set of Ordinary Least Squares (OLS) equations where the error ...
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How to compare coefficients of multivariate multiple regression models, possibly using SUR

I am trying to compare the model parameters among three multivariate multiple regressions. All three models incorporate date from the same 97 individuals and share the same 4 independent variables (...
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Seemingly unrelated regressions and different time periods around an event date

I am analyzing the effects of an event on several different companies' excess stock returns, which is the dependent variable in each regression equation. My independent variables are excess sector ...
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Interpreting 3sls estimators and significance with categorical interaction terms

I have ran a supply demand model with 3sls with the following specification: Supply: Qs=pB1+cB2+sB3, where; c=construction cost, s=persons per household Demand: Qd=pY1+iY2+uY3+rY4, where; i=...
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Solving SUR with (N-1) Equations

Problem I'm estimating a seemingly unrelated regression (SUR) with identical regressors where my dependent variable, $y_{cit}$, is a share of total across $c$, such that, $\sum_{c=1}^5 y_{cit}$ = 1. ...
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SEM One regressor depends on another regressor

I have the following structural model, by which one of the regressors is partially explained by another. $$ y_1= x_1+x_2+x_3+e \tag{1} $$ $$ x_1= x_2 + u \tag{2} $$ The questions are: a) Can ...
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Are multivariate probit models with the same set of explanatory variables for each outcome more efficient that piecewise probit regressions?

I understand that multivariate probit models are analogous to SUR models. In the SUR case, there's no efficiency gain by fitting a SUR model over several independent OLS regressions when the model ...
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SUR with unbalanced panel and cross equation restrictions - available software?

I would like to estimate a SUR model with an unbalanced panel and with cross equation restrictions. This does not seem possible with the standard SUR commands in Stata or R. Do you have an idea which ...
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testing hypothesis in spatial sure models

I have estimated spatial sur models (lag and error) using the spse program, spseml function. I want to test some restrictions about the coefficients in this model and I have not been able to do it ...
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CAPM Model - SUR Model -

We know that the CAPM regression (for a asset i) is given by $\ z_i = α_i1_T +$ $\beta_iz_m + ε_i = X∗θ_i + ε_i$ How can I show that the estimator of $\hat\alpha$ has the following distribution $\...
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Why are individual fixed effects from a “within” and from a dummy variable panel model different?

I am working on a long panel data set with N=34 and T=132. I need to extract fixed effects from plm (within) model and estimation of the same model but including dummies for individuals (N-1) in OLS. ...
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Multiple impute multilevel data and postestimation tests

I want to do the following three things but am not sure how/whether they can be done: multiple impute multilevel data. I would be ok with just accounting for clusters, but I need to somehow account ...
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Significant effect of control variable on the concerned determinant

I have a regression where I find the effect of x on y while controlling for z: y = x + z Theoretically, Both x and z have an effect on y. z has an effect on x. ...
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Books on Bayesian seemingly unrelated regression

I want to study seemingly unrelated regression using Gibbs sampling for many equations. Can someone suggest some books on Bayesian approach for seemingly unrelated regression (SUR) with R examples. I ...
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A model similar to vector autoregressive (VAR) model with different explanatory variables

VAR models do not allow the flexibility of having different explanatory variables in each equation. Are there any alternative models which allow this flexibility and written in a VAR form?
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Why the inverse of the covariance matrix is equal to the original covariance matrix in Seemingly Unrelated Regression?

In Zellner 1962 p350-351, you may see (2.4) & (2.6), and you can also verify that the Sigma(c)=Sigma(c)^-1. Why the inverse of the covariance matrix is equal to the original covariance matrix in ...
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How to perform a SUR with Panel Data?

To do a sureg in Stata I was thinking of reg healthy x1 x2 ... i.year i.country ...
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Difference between SUTSE (Seemingly Unrelated Time Series Equations) and SUR (Seemingly Unrelated Regressions)

I am studying time-series econometrics and in particular Dynamic Linear Models for multivariate time-series. Someone can help me in understanding which is the difference between SUTSE (Seemingly ...
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427 views

Test on SUR model

I have a SUR model with 22 equations, where each equation has the same 7 factors. I want to test if a coefficient (b3 in equation 1) is significantly different from another coefficient in another ...
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Seemingly Unrelated Regression with the same dependent variables

I am analyzing the effect of foreign aid on governance. Foreign aid consists of six categories and I want to know each effect. Governance is measured by one indicator. I made six regression equations ...
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Difference between SUR and Simultaneous Equation Model

Seemingly Unrelated Regression (SUR), and Simultaneous Equation Model (SEM) sound very similar to me. What is the difference between them?
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SUR estimation and Heckman selection model with panel data on Stata?

I'm working with unbalanced panel data using time and firms as IDs and would like to find out how to test for correlation between two panel equations that may be seemingly unrelated. The second ...