Questions tagged [simultaneous-equation]

31 questions
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How Many Moments Uniquely Define a Distribution with Finite Support?

Simple question, but one to which I could not find the exact answer elsewhere. How many moments of a discrete probability distribution with finite support are required to uniquely identify the exact probability mass function? Suppose we know that…
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How to express cells of a 2x2 table in terms of phi coefficient and marginal probabilities

Consider a typical 2x2 table of frequencies (shown in this image): Notation: The row variable is denoted R and takes on values 0 or 1; the column variable is denoted C and takes on values 0 or 1. The cells of the table indicate the frequency of…
John K. Kruschke
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About Identification in a 3 equation SEM

I got this example and I was wondering about a certain statement: $$ \begin{aligned} (I) \ y_1 &= \alpha_{12}y_2 + \alpha_{13}y_3 + \beta_{11}z_1 + u_1 \\ (II) \ y_2 &= \alpha_{21}y_1 + \beta_{21}z_1 + \beta_{22}z_2 + \beta_{23}z_3 u_2 \\ (III) \…
4
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How to derive 2x2 cell counts from contingency table margins and the odds ratio

I'm certain there's a unique solution to this, and I think I've worked it out before but now it has me pulling my hair out: Given the margins of a 2x2 contingency table such as the prevalences of a binary exposure and a binary outcome, as well as…
3
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Estimating a linear system of simultaneous equations at once

Consider the following simultaneous system $$ y_{1} =\beta _{1}y_{2}+\alpha _{1}z+u_{1} \\ y_{2} =\beta _{2}y_{1}+\alpha _{2}z+u_{2} $$ where $y_{1}$, $y_{2}$ and $z$ are vectors of random variables each of length $n$. $u_{1}$ and $u_{2}$ are…
3
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Structural equation models in econometrics vs psychology, political science, etc

Can anyone tell me if the sort of the sort of simultaneous equation/structural equation modeling of economic relationships that that was championed and to some extent developed out of the Cowles Commission (later Foundation) is technically the same…
3
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SUR and interaction terms

Suppose I want to determine if a simultaneous model (A) was identified: $y_1 = \beta_{10} + \beta_{11} x_1 + \beta_{12} y_2 + \epsilon_1$ $y_2 = \beta_{20} + \beta_{21} y_1 + \beta_{22} x_2 + \epsilon_2$ Where the y's are endogenous and the x's are…
3
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Is this model identified?

Is this model identified? The paper is in plosone, but it seems to be that the combination of regression paths from PCS ~ MCS and MCS ~ PCS, plus the error covariance, means that this shouldn't be identified. Any pointers much appreciated. I'm…
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VAR with different distributions: Does this model exists?

I would like to know if models like the one below exist/make sense and, if so, how they are called. \begin{equation} X_t \sim \mathcal{Pois} ( \lambda_t ) \\ \lambda_t = \mu_1 + \alpha_1 X_{t-1} + \beta_1 \lambda_{t-1} + \gamma_1 Y_{t} + \delta_1\…
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Testing simultaneous equality of contrasts

I have a one-way ANOVA model with 3 treatments. I have contrasts $\hat{\theta}_1=\hat{\mu}_1+\hat{\mu}_2$ and $\hat{\theta}_2=\hat{\mu}_3-\frac{1}{2}(\hat{\mu}_1+\hat{\mu}_2)$. I want to do a simultaneous test $H_0:\theta_1=\theta_2=0$. The two…
Mark
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help with some symbolic computation/EM algorithm

I have to maximize $Q(\theta;\theta')$ with respect to $\theta$ at every iteration of my EM algorithm. It boils down to solving these two equations for $\eta$ and $\gamma$ (all the $s_i$s are sufficient statistics): $$ 0 = -\frac{1}{2}(1 + e^{\eta}…
Taylor
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SURE vs SEM: which one to use?

in my understanding, SEM should be applied in a case such as: \begin{equation} Y= \alpha_1 + \beta_1 X + \epsilon \end{equation} \begin{equation} X= \alpha_2 + \beta_2 Y + \epsilon \end{equation} as $X$ and $Y$ are jointly determined, while SURE in…
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detect incalculable variables

I have a bunch of equations in the form as follows. a+b+c+d=10 c+d+e+f=12 d+e+c=13 Where I am tying to calculate the values of each variable (many more equations in the actual list ofc). However, I cannot separate the values of a and b (I can only…
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Simultaneous GMM estimation: standard errors of common coefficients

So I am estimating a production function based on Wooldridge (2009) GMM adaptation of preexisting semi-parametric, 2-stage techniques. One of the upsides of GMM is simultaneous instead of sequential estimation, which alleviates correlation problems…
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Econometrics of demand for substitute goods

I've got a problem that seems to be exposing a fairly fundamental hole in my econometrics training. I'm looking for a canonical reference for how to deal with the following sort of problem: For example, say that firms have demand for security, and…
generic_user
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