Questions tagged [2sls]

Two-stage least squares is a regression technique from econometrics used in instrumental variables analysis.

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136 views

Instrumental variables with interactions between endogenous variables

I have two endogenous variables $x_1$ and $x_2$ and am trying to estimate the following model: $$y = \theta_0 + \theta_1 x_1 + \theta_2 x_2 + \theta_{12} x_{12}$$ where $x_{12} = x_1\times x_2$. I'm ...
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264 views

Should instruments always weakly increase standard errors?

In OLS, are standard error estimates using some instrument $z$, different from $x$ always weakly larger than standard errors when not using instruments? This has been discussed before: Why is the ...
3
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191 views

2SLS with heterogeneous first-stage

Suppose I have the following model, where $c$ indexes group and $i$ indexes members within a group. The sample is made up of $(i,c)$ pairs. The model is: $$ y_{ic} = \alpha + \beta_x x_i + \epsilon_i ...
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1answer
96 views

What is the model similar to 2SLS, but not for IV?

I am analyzing the effect of foreign aid on democracy and I would like to test following hypothesis (I simplified the original version): The amount of aid the country received and the corruption ...
2
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1answer
21 views

Using residuals in 2SLS regression to remove reverse causality

Someone suggested the following idea to me to control for reverse causality. Suppose we want to test for the effect of $X$ on $Y$ in a panel data set, but we suspect that there is reverse causality. ...
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11 views

Inconsistency of Forbidden Regression Estimator

I am trying to prove the inconsistency of the estimator of the in the following model: 1st stage: 2nd stage: When the population model is and . I know this is a forbidden regression because ...
2
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301 views

Nonlinear Two Stage Least Squares Instrumental Variable method

I am trying to figure out how this paper estimates extended Solow production function using nonlinear two stage least squares instrumental variable method (or non linear 2SLSIV). The full ...
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629 views

Fuzzy RDD in Stata with two cutoff points

I am running a Fuzzy Regression Discontinuity Design using 2SLS. If I specified the model (and most importantly the IVs) correctly as i have never worked on a RDD before. The difference to the usual ...
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497 views

Test on weak IV when first stage is nonlinear

When the first stage is linear, like the case of 2sls, the test of weak IV is straight forward, method like Stock and Yogo (2005) test are available in standard package command, like ...
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0answers
64 views

Instrument variable that indirectly related to the error term. Valid?

I try to grasp the concept of instruments in 2SLS regressions. I have a variable that is correlated with an endogenous regressor (informative). I also believe that it is uncorrelated with the error ...
2
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269 views

Two-stage least squares approach to Deming regression

I am interested in statistical inference for the Deming regression model: $$ x_i=x^*_i + \epsilon_i$$ $$ y_i = (\alpha+\beta x^*_i) + \epsilon'_i$$ where the $x^*_i$'s are nonrandom fixed numbers, $\...
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34 views

How do I tell if my Instrument is valid?

I have the following structural model (similar) which I wish to estimate $$ Y_t = \beta_0 + \beta_1 X_t + \epsilon_t $$ but I'm aware that $X_t$ is endogenous or equivalently, $E[X_t\epsilon_t]\ne 0$....
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59 views

Why do estimates differ so much between Instrumental Variable (ivreg) vs 2SLS (lm)?

I am working with some messy pilot data to figure out whether Instrumental Variable analysis will help interpret the results of a randomized controlled trial I am preparing. Treatment compliance in ...
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37 views

Instrumental variables and GARCH

Can you use the predicted value from the first stage (as estimated using 2SLS) to replace the endogenous variable in a GARCH model? Or, what would be a different way of using instrumental variables in ...
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91 views

Overidentified vs just identified models

Why go with overidentified models as opposed to just-identified? If you can go with over-identified models, how many instrumental variables can you have at max in a 2SLS model?
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63 views

2sls asssumptions vs IV assumptions

Silly question but I was confused about the independence assumption for instrumental variables when they are used in 2SLS. Is it the case that the instrumental variable used in 2SLS only has to be as ...
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36 views

Interpretation of correlation in endogenous regression model

Suppose you have a linear regression with an endogenous regressor $x$ that can be represented as follows: $x = z'\delta + \epsilon_1$ $y = \beta x + w'\gamma + \epsilon_2$ where $\begin{pmatrix}\...
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101 views

Role of rank condition in identification of 2SLS - matrix algebra

I could write down all the steps for identification of the 2SLS estimator but my question is really a matrix algebra question which is required in the last step for finding out what the beta vector is ...
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1k views

2SLS Estimation for a Fuzzy Regression Discontinuity Design

I am using a Fuzzy Regression Discontinuity Design for the first time and this maybe a very basic question to some. I am estimating the Fuzzy RD with 2SLS. Suppose, my data is of the following form: ...
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169 views

2SLS (IV) with fractional outcome variable and spatially autocorrelated error terms

I face the challenge of estimating a 2SLS (IV) model with a fractional (ranging between 0 and 1) outcome variable and spatially autocorrelated error terms (the data is spatially explicit, i.e. for ...
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155 views

Significant Predictor with a Negative Adjusted R-Squared Value: Instrumental Variables Regression

I'm running an instrumental variables regression with a single predictor on a sample size of 120. When I run the regression, the predictor is significant at the 0.01 level, but the adjusted R-squared ...
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23 views

Why functional specification is important in RDD setting?

I'm reading Clark(2009) paper regarding the impact of education reform on school performance. The rule is that the school initiated a democratic vote at first and if 50% of students vote in favor of ...
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323 views

Simultaneous equations with interaction terms

How do you estimate the following simultaneous equation model on a panel dataset? $Y_1=\beta_1X_1Y_2 +\beta_2X_2+e_1$ $Y_2=\alpha_1X_1Y_1 +\alpha_2 X_3+e_2$ $Y_1$ and $Y_2$ are endogenous while $...
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175 views

2sls with lagged dependent

I have seen many papers using dynamic panel regressions when the lagged dependent is a regressor and the data has the standard panel format. so, y(t)=constant + beta1*y(t-1)+ beta2*X(t) is often ...
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1answer
795 views

Bivariate probit versus 2SLS, contradictory results (sign)

I am currently facing puzzle and I hope some of you will be able to provide me some insights. I have this model: y: binary variable, x1: binary variable (endogenous), z: binary instrument, x2: ...
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26 views

two models in 2sls procedure

I am trying to do following. bysort Country: regress bdr fam MTB lnTA this is my first stage regression for second stage I want to use another variable std as my dependent variable and use predicted ...
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298 views

Interpreting dummy variable in Heckman 2SLS

My question is regarding interpreting the output of a Heckman 2SLS. Background information: I am exploring how institutional investor presence affects investments and firm performance during ...
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635 views

How to work out direction of omitted variable bias in 2sls

In OLS you can reason to the direction of omitted variable bias by using the following formula: OVB = [Omitted in long] x [Relationship between omitted and variable of interest] My question: is ...
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425 views

2SLS vs OLS Efficiency Question

I'm doing some studying for finals and I'm wondering what would happen in a case like this. With the following model $y_t = x_t * \beta + \epsilon_t$ Say you had two IV's, $a_t$ and $b_t$. In ...
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678 views

Before-after analysis and selection effect

I have sales data on 200 grocery brands who add a fair trade symbol to their product packaging (6 months before they become a member, and 6 months after they become a member). I also have data on all ...
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113 views

2SLS Regression, 1 Instrument effecting more than one explanatory variable?

So in my situation I have my dependent variable Log Income my Instrument Diabetes and my supposedly endogenous explanatory variable Reads Nutri. Where things start to get confusing for me is that ...
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63 views

2 stage least squares

I am looking into the effect of immigration on crime (using random effects panel data). there are 2 problems which 2 stage least squares should help with, firstly the endogeneity of immigration (as ...
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497 views

2sls IV with different unit of observation - Stata

I am doing some data analysis on Stata on a big sample and it turned out it might be useful to use an IV approach. My data are on two levels: individuals and groups. The group level is obtained ...
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757 views

Valid Instruments for an IV/2SLS Regression for house prices

I'm brand new here so my apologies if this is too general or has been answered elsewhere. I'm trying to estimate a model for the house prices that includes several endogenous regressors. For the sake ...
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294 views

How to correct standard errors of a two stage least squares

Can you demo a working example, in python (pandas or numpy) or R, how you can correct the standard errors on a 2sls. Most resources say that the software will do that automatically for you, but I ...
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294 views

A proper use of the Cragg-Donald F-Statistic with more than one endogenous variable

I've read that the Cragg-Donald F-Statistic is similar to an F-test on the first-stage OLS regression when you have one endogenous variable. But with more than two endogenous variables, you should use ...
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137 views

Multiple (binary) endogenous variable for separated subgroups

I want to specify an empirical model of home ownership like: \begin{align} Y &= X'\beta+\sum_j \delta\cdot D_j + \gamma_1\cdot\lambda(X_1\cdot\theta)+\text{city_dummies}+u \\ D_j &= \phi_j\...
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241 views

Can dependent variables appear in interaction terms in a system of simultaneous equations?

Given a system of 2 equations with y1 and y2 the dependent variables: \begin{align} y1 &= a0 + a1x1 + a2(x2y2) + ... + e1 \tag 1 \\ y2 &= b0 + b1x1 + b2(x2y1) + ... + e2, \tag 2 \end{align} ...
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7 views

How to properly use IV regression when my endogenous variable is a ratio?

I’m trying to better understand the issues relevant to the selection of an instrumental variable for a project I’m working on (and also more generally). In a recent example I ran into, my endogenous ...
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14 views

Instrumental variables: Fixed effects only in the second stage?

I have been under the impression that for a 2SLS FE model you got to have the fixed effects in both stages. So if you have a time invariant instrument you can forget about your FE, as they already ...
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9 views

Social-Network Peer Effect Regression

I have locally transformed model from Bramoullé 2009 to be estimated for regression estimation $\begin{equation} ( \mathrm{{I}} - {G}_{l}^{*}){y}_{l} = \beta_2( \mathrm{{I}} - {G}_{l}^{*}) {G}_{l}^...
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14 views

Addressing Near Perfect Correlations In Highly Competitive Commodity Markets

I am working on an analysis for a highly competitive agriculture market. I'm looking at county elevators in Iowa where competitors set their price for tomorrow's corn "ask" the evening before, but ...
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16 views

Simplifying last step of IV estimator derivation with matrices

I've been reading about IV in this textbook. On page 39 (page 5 of the PDF), I'm confused by the last step. How does [(z'z)^(-1)z'y]/[(z'z)^(-1)z'x] simplify to (z'x)^(-1)z'y? I can see that the (...
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10 views

Estimating post treatment outcome of IV

In the Angrist, Mastering metrices book (page 118, chapter 3, Instrumental variable) Angrist calculated "recidivism was greater among suspects assigned to be coddled than among those assigned to be ...
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24 views

Interpretation of Hausman test - IV models

I ran two IV models: 1) ivreg 2sls y x1 (x2=z1) 2) ivreg 2sls y x1 (x2=z1 z2) than I did a Hausman test, and it was not significant, so I could not reject the null. What does that mean? Is z2 a valid ...
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11 views

How to decide which variables belong in the first and second stage of the 2SLS method

Let's assume I want to estimate the model: Income = Education + Gender + u Let's say I would like to use the occurrence of two events with ...
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15 views

How apply 2SLS in order to find estimates of the SEM's model , provided that the lag values of the variables are used?

How should I apply 2SLS in order to find estimates of the model of a system of simultaneous equations, provided that the lag values of the variables are used? For example, there is the following ...
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24 views

Explaining instrumental variable 2SLS in a simple yet precise way

I am trying to explain IV 2SLS in a non-technical yet precise way. However, I still think I can improve, and I would highly appreciate input that could make some points clearer. One of the sticking ...
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19 views

Implementation of 2SLS in regression with AR errors?

Consider the following simple example: $Y_t=\beta X_{t-1}+\varepsilon_t$ $X_t=\gamma Y_t + Z_t +u$, where $\varepsilon_t=\alpha\varepsilon_{t-1}+\eta$, and $E[Z_t\varepsilon_t']=E[uu']=E[\eta\...
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39 views

PCA of many weak IVs in 2SLS

"Instrumental variable estimators can be severely biased in finite samples when the degree of overidentification is high or when the instruments are weakly correlated with the endogenous regressors." ...