Questions tagged [paneldata]

Panel data are multi-dimensional data involving measurements over time where observations are for the same subjects each time.

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Fixed time and individual effects

I have the following, small question. I have panel data and have played around with it a bit. In my first estimation (1) I assumed that the coefficient of union is biased and therefore wanted to ...
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Test for Multicolinearity

i recently ran a regression with fixed effects. As expected, STATA removed one of the dummy-variables, as well as every time-invariant variable (educ). My question is now. Why does STATA also removes ...
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Fixed time effects or fixed individual effects?

I have the following question or problem. I am currently using panel data to predict the hourly wage. I have only used the variable "union" as an influence variable from the initial model, ...
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How to use panel data for a time series machine learning problem?

I am trying to determine if machine learning models provide better predictions of stock market returns when a proxy for investor sentiment is included as factor in the explanatory data. I am using ...
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Adoption of agricultural technologies empirical research

At the moment I am working on my bachelor thesis about the adoption of agricultural technologies. More specifically, I want to study the effect of improved market access (infrastructure) and access to ...
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Where can I find panel data of intra-EU trade (i.e. how much countries trade with other EU member states)

The WDI only has data on overall trade, not on intra-EU trade. Any idea where you can find that?
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Pooled OLS, fixed effects and random effects yield very similar results

I have used pooled OLS, fixed effects and random effects to estimate a model and the results are as expected. I expected coefficients to differ quite significantly for the different techniques and ...
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How can I add yearly control variables on daily Panel data?

I am working on a dataset where I have to regress daily stock return on daily ESG momentum scores, including some control variables. For market based measure of risk factors, I have added Fama-French ...
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Is there granger causality that can be applied to panel data with structural breaks?

I have panel data containing various macroeconomic variables (for example: interest rate, output, unemployment). I would like to run a Granger causality test on some of them, but there are structural ...
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Which econometric model should I use?

I have the following model Expenditures = a + $b_1$ Output + $b_2$ Labor + $b_3$ CapitalStock + $b_4$ D where D is dummy variable that is Categorical. If tax is imposed, it takes 1. Or if tax is not ...
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Clustering Standard Errors for Panel Data with multiple clusters

I have a Group-Firm-Year panel data set (i.e., multiple firms make up a group). Suppose I have exogenous variation at the group level over time. In a panel regression with firm and time fixed effects ...
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Identify time vaying variables in VAR

I am having a panel VAR and would like to identify which varaibles remain constant and which vary over time. I have added time varition in the model. I would like to avoid to use bayesian approarch . ...
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Dynamic panel textbook

which books do you recommend for understanding dynamic panel models including Arellano-Bond, System GMM, etc? Ideally intuitive and not too advanced. Thanks :)
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Clustering of standard errors in Fixed Effects models

Why is there still a block structure in the covariance-variance matrix, and consequently a need for clustering of standard errors in fixed-effects models? Shouldn't demeaning solve the serial ...
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What can explain a wrong sign on difference-in-difference estimator?

I am trying to estimate the casual impact of treatment T on outcome Y based on an unbalanced panel data. The data consists of two subsamples: subsample A and subsample B. Based on context of the ...
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In difference-in-difference method, should I code treatment exposure as 0 or missing for pre treatment rounds?

In my data, there are some pre-treatment rounds, and some post-treatment rounds. I use months of exposure to treatment in my analysis. So for post-treatment rounds, I have positive values for months ...
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How to estimate a system of equations with missing values in dependent variable with sureg?

I am trying to estimate vote shares of different parties. So, suppose I have 4 parties, each having its own column in the data set. Hence, the sum would be tending to 1. Now, if a party does not ...
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Missing values in difference-in-differences

To give a background of the problem: I'm performing a difference-in-differences analysis to estimate the effect of a treatment, say A. I have a panel data with 5 rounds and about 3000 observations in ...
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Which countries should i remove from a panel data based on the coefficients for capital accumulation

My question may sound more econometrical than about economics at the begining, but it is the contrary. I am working with a panel data of about 150 countries and it is cointegrated. My variables are ...
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When I should concern if the number of observation varies quite a bit?

I am running an international regression, the number of observations and adjusted R-squared is as below In Column 1, we only consider the effect of a leniency law without any additional controls, and,...
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where can I download financial statements (or financial data) for firms in many industries in one shot?

I'm interested in doing some empirical analysis of firm's financial statements (such as asset, working capital, operating cost, etc) for many firms across industries over the past few years. Where can ...
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3 votes
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When to use dynamic panel data models

I recently got a comment that I should use dynamic panel data model instead of a static one because my outcome is likely to be serially correlated. I guess it makes sense for my application, but it ...
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Fixed effects vs first difference

Or more generally, what are the reasons for the absolute dominance of the fixed effects estimators to control for unobserved heterogeneity in large N, short T panel settings? I get that random effects ...
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Why we need to add firm and year relating independent variables in two-way fixed effect model?

From what I know, these terms are very basic in econometrics but I still not yet fully got it. To me, year fixed effect is to control time-variant omitted variables and firm fixed effect is to control ...
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A doubt on summary statistic of post*treat variable of a paper using DID (Dong,2019)

Generalized DID or Staggered DID are DID using staggered treatment events. In Dong,2019's paper, he uses the framework as below: $Margin_{ikjt}$ = $\alpha$ + $\beta$ $(Leniency Law)_{kt}$ + $\delta$$...
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Advice on research methodology

I had wanted to ask this community for some advice on some potential methodologies I am developing. Context: I want to evaluate the effectiveness of a component of this scholarship program, which ...
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Interpretation of coefficients in a regression with a lagged dependent variable

I have estimated the following dynamic panel data model using GMM:           $\ln Y_{it}=\beta_0+\beta_1\ln Y_{it-1}+\beta_2\ln X_{it-1}+\epsilon_{it} $ where $Y$ is employment and $X$ is productivity....
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Is there any confliction in dataset and sample period description here?

Dasgupta,2019, p.2598 documented that they consider all nonfinancial firms in Worldscope, Compustat Global, and Compustat North America data sets from 1990 to 2012 However, they used the [-2;+5] ...
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How to justify the treatment and control groups for Difference-In-Difference with staggered implementation of laws?

A. Background: Dong, 2019 and Dasgupta, 2019 used the same way to generate the treatment and control groups because they all learn about the impact of the same laws on different dependent variables. I ...
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Alternative ways of visualizing longitudinal macro data?

Problem: Visualizing longitudinal is challenging when the dataset has large number of panel members. A common ways to visualize such data is to either make a large set of small individual plots such ...
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Converting monthly data to quarterly

I have monthly shock series, which I want to convert to quarterly form. I have seen several methods like taking average of 3 months or summing 3 months for making a quarter. I would like to know how I ...
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Comparing Real GDP with different base years and currencies

I have a quarterly panel data of several countries. I have taken the data from Fred. Some countries' real gdp is in chained 2010 prices and some in other years (such as 2015 and 2018). How can I make ...
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Replicate Blundell and Bond (2000) results using R

I want to replicate Blundell and Bond (2000) Table III in R. I'm using the function pgmm from package plm, which (apparently) ...
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How to interpret fixed effects?

I want to interpret the output of a fixed effects regression and need help with interpreting the country-fixed effects. The regression is the following: ...
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2 votes
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Econometrics - Panel Data: Relationship between total, within and between

I need to prove the following statement, which is $\hat{\beta}_{total} = W(x)\hat{\beta}_{within} + (I-W(x))\hat{\beta}_{between}$, where $\hat{\beta}_{within}$ is the fixed effect estimator(i.e. the ...
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Synthetic control question on donors

I'm using synthetic control methods. The treatment group has covariates that are the extrema of the values across itself and all potential donor units. So, say, on covariate $x_1$, the treatment unit ...
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Can I add a variable that varies only with time in Least Squares Regression model with a time-fixed effects term?

I'm estimating this equation for the trade flows between various countries at time t: ($i$ and $j$ are countries) The last 3 terms are control variables, one of which is oil prices. Can I add oil ...
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2 votes
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Identifying Households in Panel Data

For my thesis, I'm working with a panel dataset that tracks individuals within households. To allow for merging, the dataset provides the household ID in the previous round for each individual. What I'...
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Panel Data: Fill missing values (on ends) to balance dataset?

So I have this project to work on with panel data. I am using a dataset featuring most European countries and some of my variables are Macroeconomic such as GDP, GDP per Capita. Thing is, for some ...
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Coefficient omitted due to time fixed effect and multi-collinearity

I am working on a research paper (my first one) where I am dealing with company level unbalanced panel data. There are broadly two types of control variables in the study - a) firm level control ...
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Stochastic Frontier Analysis (SFA) in Stata: Technical Efficiency Estimates

I am prepared to look quite the fool, but hopefully you can help me. I am trying to perform Stochastic Frontier Analysis on a balanced panel dataset by estimating the following model: I think the ...
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Interaction term between lagged and non lagged variable Fixed/Random effect model

I am analyzing a panel dataset. I am wondering if I could use an interaction of a lagged variable ( one time step behind) and a non lagged variable ( both continuos indipendent variables) and still ...
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GDP per Capita in Panel Data: Must the base year be the same for all cross-sections?

I'm trying to run a small project using time series in panel data. One of the variables used is the GDP per capita for a few countries (the countries are the cross-sections). Is there a problem if the ...
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R's felm() fixed effects vs. factor() within lm()

I am wondering why using felm's fixed effect option versus using the factor() function is different? I was under the impression they were one in the same? I am running a panel regression where i is ...
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graph of dependent variable after years of restructuring in panel data

i'm not very able to use stata. For my thesis, I have a panel data(1970-2017) for different countries and a lot of variables. In this dataset, there is a dummy (dhairendH) that is equal to one in the ...
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Fixed Effects Model Interpretation

$$\ln(\text{pay})_{itj}= \alpha_{ij} + \beta\ln(\text{performance})_{jt} + \gamma X_{ijt} + T_t + ε_{ijt}$$ This fixed effects model was used to investigate the link between pay-performance throughout ...
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Error in cbind(yX1[[i]], V1) : number of rows of matrices must match (see arg 2) in r

I estimated a gmm model using pgmm() of the plm package, but received the following error term: ...
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3 votes
1 answer
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How to choose between fixed and random effects using economic intuition?

In class, our professor said that when it comes to deciding between estimating panel regression with fixed and random effects we should not just blindly follow the Hausman test, but also think about ...
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5 votes
1 answer
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Up-to-date survey of panel data models

I am looking for an up-to-date survey paper or a book chapter on panel data models. I know there are excellent textbooks out there like Wooldridge "Econometric analysis of cross section and ...
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4 votes
1 answer
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Skepticism about the claims of instrument variable validity/exclusion through a statistical test—the Arellano-Bond Test

I am an applied researcher and occasionally come across papers that have panel data and that use dynamic models with both a fixed-effects term and lagged DV (or multiple autoregressive terms): $y_{it} ...
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