Panel data refers to multi-dimensional data frequently involving measurements over time in econometrics. It is also called longitudinal data in biostatistics.

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23 views

$J$ statistics to $p$-value of $J$ statistics an vice versa

I am not entirely sure if I should ask this question here, but does EViews has a function of converting J statistics to p-value of Jstats, or other way around. I am running several GMM estimations ...
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1answer
19 views

How to transform time-varying covariate measure of response time in a multi-level model of longitudinal data?

I am trying to fit a multi-level model to some longitudinal data that I have. As an example, let's pretend participants had to make 10 basketball free throws, and I measured how long it took them to ...
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1answer
50 views

J stat problem, GMM

I have recently performed a GMM estimations, my problem is that all the J-stats are 0.0000. It means that the IV are overrefined right or the model is not well specified. I used one-period lags of the ...
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1answer
34 views

A Kalman Filter for estimating z-scores?

I have been struggling to fit the following problem into a linear state space model for a Kalman Filter (KF). I'm having a hard time seeing what I'm doing wrong. I suspect I'm violating some law of KF ...
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1answer
42 views

difference-in-differences with fixed effects

I have two questions related to having fixed effects in the DD model. I have a treatment that occurs at different times (e.g., 2001,2005, etc.). I want to fit a DD model, so I standardize the ...
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1answer
20 views

Fit measures for GMM Arellano-Bond estimator in R

A colleague and I have been working with difference GMM, i.e. the Arellano-Bond estimator, in R. Our option has been to use the pgmm command from the plm package. However, now I am struggling to test ...
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15 views

Time dummies in panel data — absorbing effects?

I am conducting a data analysis. I have a panel with individual firms with firm-specific and macroeconomic variables. I would like to run an OLS regression adjusted for firm clustering effects and ...
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15 views

Unbalanced panel data: Fixed effects?

I have an unbalanced panel dataset with N=10 firms and T=61 days. Because one variable had values outside the theoretical range I had to constrain my dataset, which left me with only 239 observations. ...
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46 views

What is a “Wald test for trend?”

I am reviewing a manuscript and the authors state that some results are by a "Wald test for trend". Has anyone heard of this? I hadn't, and Google revealed nothing. I know I always say to provide ...
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0answers
17 views

Unbalanced Panel: pooled OLS vs FE vs RE - which method yield unbiased and robust estimators?

I am conducting an empirical study (relation between earnings and returns). I have an unbalanced panel with $N=449$ firms and $T=36$ time periods. Regarding the estimation methods I am confused: In ...
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16 views

lag dependent variable among explanatory variables on panel data analysis

Can I manually include lag dependent variable among explanatory variables on panel data model estimations( in trying to establish relationship between gross profit/earning before interest and tax as ...
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21 views

Beyond multiple linear regression for longitudinal data?

I have a relatively large dataset from a longitudinal study (~100k subjects and ~10 random effects) where the outcome is a real-valued parameter. A simple run of R's ...
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9 views

Oddly structured data - longitudinal data struggle - Interaction testing

I'm struggling with an analysis and I'd like to have your contribution. I work with neuroimaging, and I have tested the capacity of a certain imaging parameter (let's call it A) of predicting a ...
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34 views

does the equivalence of Poisson and conditional logit models hold for fixed effect panel data and negative binomial models?

Guimaraes et al. (Rev Econ Stat, 2003, 85/1) describe the conditions under which the results from poisson regression models and conditional logit models are equivalent. I am trying to find out whether ...
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0answers
26 views

Multiple Sample Equality-of-Distributions Test For Panel Data

Suppose I have repeated time observations for 800 meter sprint for a group of athletes over the course of a season. I would like to test the hypothesis that all the times are drawn from the same ...
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1answer
23 views

Variance of a variable constructed from parameter estimates and predicted values of a linear regression

My data set is an annual panel data set on individual income, the year of unemployment and a number of demographic variables. I run an OLS regression of the form $y_{it} = \sum _{j=1} ^n D_{j,it} ...
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8 views

Detrending for quarterly Panel Data

I have quarterly unbalanced Panel data and I want to de-trend my dependent variable to make it stationary. how do i do it? I don't want to take differences as it will shorten my observations. The ...
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1answer
58 views

Stata error: “panels are not nested within clusters”

I have an unbalanced panel data set with more than 400,000 observations over 20 years. My panel variable is a person id and my time series variable is the year. The persons are from all over Germany ...
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1answer
62 views

Is this an example of Pooled OLS on Panel Data?

I am looking at a study that analyzes the effect of an infrastructure index on infant mortality and child mortality rates. The database has (asset) quintile level data for 47 different countries (from ...
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12 views

Holtz-eakin, Whitney, Rosen Panel VAR

I'm trying to write a bit if R code to run the estimator in "Estimating Vector Autoregressions with Panel Data" Econometrica 56-6 (1988). I'm stuck on equation (3.12) I feel like $Z_{ir}$ and ...
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2answers
62 views

Is PCA appropriate for comparing subsets of panel data?

I have a large panel (5000+ subjects, 4 variables over 182 periods), and I've identified particular Granger-causal relationship in a large subset of those subjects (30% or so). I would like to somehow ...
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39 views

How to fit a longitudinal model with binary outcomes

I'd like to fit a longitudinal model for where multiple subjects experience binary outcomes over time. To accomplish that, I'd like to use an additive random effect for each subject and an ...
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30 views

Longitudinal data where individual id is not available

I am associated with a teaching hospital, and medical students are frequently administered tests and measures to monitor their progress. I am not talking about exam results here, but of psychological ...
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21 views

Is there a statistical technique to perform this comparison? How could I do this on Stata?

I've been busy on a work where I have to compare two financial econometrics models on the determinants of financial leverage (panel data). These have only few control variables and the dependent ...
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1answer
77 views

Compare coefficients from two separate panel regressions in Stata

I am trying to compare the coefficients of two panel data regressions with the same dependent variable. What I am aiming at is the following: ...
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18 views

What are the statistical implications of assigning treatment and control in time series study under 2 different approaches?

I have a project wherein my group wants to measure the effect of counseling at-risk students on their academic outcomes. There are 1,000 students who will be enrolled during the current academic ...
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28 views

How to apply hurdle models to panel data (using Stata)?

Is it possible to apply hurdle models (like the Craggit, probit and truncated models) to panel data, preferably with fixed effects to control for unobserved heterogeneity? In Stata, the user-written ...
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9 views

How to model my data into a probit

I am beginning my thesis, and I need some advice. I am trying to estimate a probit model. The binary dependent variable is employment status, and the independent variables include network size, age, ...
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1answer
19 views

Time Dummies and Time Trend in the same equation

Can we run this regression: $Y_{it} = a + bX_{it} + c_2Time_2 + ... + c_TTime_T + ht + U_{it}$ $i = 1,2,..., N;$ $t = 1,2,3...,T$ Where ​ $Time_T$ are time dummies $t$ is ...
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16 views

how to deal with autocorrelation

My study is related to determinants of corporate liquidity and I am working on eviews. My model gives durbin watson stat value 0.89. after applying fixed effect estimation the value changes to 1.47. ...
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16 views

How to deal with repeated indicator-week combinations in panel data?

I have a panel dataset that contains information on households and their purchases in specific weeks and even minutes of a week. For example, a household would purchase different brands of beer and ...
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28 views

Naïve Random Walk Model as a Benchmark for Predictive Model

I constructed a predictive model for $Y_{i,t+\tau}$ for $\tau=1 to 3$ using panel data with firm and year observations: $Y_{i,t+\tau}=a+bX_{i,t}+e_{i,t+\tau}$ and i'm trying to measure the ...
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13 views

Cross-sectional SUR in R

Is there a package in R that can estimate panel data with cross-sectional seemingly unrelated regression generalized least squares weights (like in EViews)?
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1answer
57 views

Practical issues with dynamic panel data modeling

Unfortunately for me, I've got a situation where I need to control for the lag of a dependent variable as a robustness check against an alternative interpretation of my main regression. The baseline ...
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110 views

consequences of lagged dependent variables in panel data and how to deal with it?

I have some elementary problems understanding the consequences of using/adding a lagged dependent variable in my predictive model. I’m trying to predict values $Y_{i,t+\tau}$ for $\tau=1-3$ with: ...
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70 views

F-statistic value is too high for my model

Number of obs = 501 , Method: Fixed-effects regression Number of groups = 101 F( 10, 100) = 3422.31 , Prob > F = 0.0000 , ...
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0answers
27 views

Probit regression in R giving singular Hessian matrix

I am trying to run a probit regression using panel data in R by first computing the log likelihood and then using the optim function to optimize. Scale of ...
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21 views

Probit regression in R using panel data - Do we need to normalize the predictors?

I am trying to run a probit regression using panel data by first computing the log likelihood and then using the optim() function to optimize. I have a couple of ...
2
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1answer
40 views

IV-RE xtoverid testing both IV validity and RE vs FE?

I am running an xtivreg, re and an xtoverid afterwards. My understanding of the help file and what I found online is that ...
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11 views

Aggregate stock return predictive panel analysis

I am trying to run a panel OLS predictive regression on stock returns for 7 countries using 8 macro economic variables. I have already done the simple linear regression analysis that has highlighted ...
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38 views

Aggregating pooled regression outputs in different years

I performed multiple pooled cross-sectional regressions with the same time-intervals (5years) in different years. I'm wondering now on how to aggregate the different regression outputs. Does it make ...
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16 views

Specifying a glmm for panel data

I'm trying to predict counts based on variables sampled on a monthly basis as well as a few that are not related to time. In several places I've read that the MCMCglmm package in R would be ...
2
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0answers
37 views

Dynamic Panel/GMM in R with group:time fixed effects?

Is there a solution coded in R to estimate models of the form $$ y_{igt} = \alpha_i + P_{gt} + \beta_1y_{igt-1}+ \beta_2y_{igt-2} + X_{igt}'\gamma + \epsilon_{igt} $$ ?? ...
2
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0answers
14 views

Methods for measuring snowball effects in a “complete” longitudinal dataset

I'm looking for ways to test for "cumulative advantage" effects in a longitudinal dataset (see image) I guess the data set is principally similar to this: http://www.caldercenter.org/whatis.cfm , ...
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1answer
26 views

Standardizing single coefficient in multivariate analysis

I have panel data and for the I have a following equation $$ logY = \beta_1 + \beta_2 logX + \beta_3 m logW $$ Problem is with $\beta_3$ coefficient. Since m is outside the log and it is a very ...
3
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1answer
68 views

Interpreting fixed effects coefficients with categorical independent variables

I am trying to find out if change in marital status have effect on person's health. I am using 2 data points panel data. My question is, how to interpret fixed coefficients if independent variable ...
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0answers
19 views

Testing linear contrast in an unbalanced longitudinal design (R)

I'm experiencing some conceptual problems in testing a linear contrast in an unbalanced longitudinal design. I have performed some correlation analysis with brain imaging data. These analysis ...
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29 views

Analysis of repeated treatment design (Linear panel model vs. ANOVA)

General information Assume you have the following quasi-experimental repeated treatment design (T = Treatment, M = Measurement): ...
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15 views

Number of observations in plm package, n, T, N

I am new to R. I am using the plm package to run pooled OLS and Fixed Effect. My data set has 130 countries over 33 years with lots of missing values. My model has ...
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1answer
54 views

First Differences and Fixed Effects

I'm aware of the fact that first differences and fixed effects are both designed for the same solution -- removing unobserved unit-level effects. However, I'm unclear on what happens when you include ...