Questions tagged [cross-section]
Cross section data is drawn at a single point in time as a sample of many different units from a certain population.
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A Method for Functional Misspecification
I have been thinking about unbiasedness recently. An idea for came to my mind . Imagine that the dataset is separated into three different parts as training, the data that will be added to training ...
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Statistical test for independent and non-independent data together?
Aim
I would like to compare the prevalence rates of some common mental disorders (CMD) between the findings of several authors (Studies 1 to 5). All of the studies are observational. Four of them are ...
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Cross-sectional data in a DiD Design?
I am conducting a difference-in-differences Design (in R), however, not in the classical sense as I have two groups that were treated at the same time, but no control group. My groups are individuals ...
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How should I test for parallel trend assumption in a repeated cross-sectional data?
I have a repeated cross-sectional dataset on time-use which I am using to estimate the impact of a certain shock. My outcome of interest is time spent by certain individual on particular activity. ...
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How do I calculate a mediation model with 2 independent variables, 1 mediator and 2 outcome variables with R?
It is suggested that both independent variables could influence the mediator, which in turn could have an effect on both outcome variables (direct effects are also expected).
All variables are on ...
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Principal Component Analysis using Panel Data
I have a panel data with identifiers(a,b,c,....z) and different times(t=1,2,3,....100)
I have 6 different variables (A,B,C,D,E,F) for every identifier-time observation. I attempt to use those 6 ...
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Pooling survey years in random forests
I am currently trying to predict household wealth in a random forest, using survey data.
My problem is the number of the observations. I have the option to either choose single years (n=4.000) or ...
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Best Practices for Difference-in-Difference Analysis of Quasi-Experimental Repeated Cross-Sectional (Cat.) Data Different Samples per Neighborhood
I'm working with repeated cross-sectional data where each measure comes from a different sample of respondents per neighborhood. My study aims to evaluate the impact of varying police patrol levels (...
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Panel Event Study
I want to perform a panel data event study using quarterly data. I have collected time series data on stock prices for approx. 1000 firms from 29 different industries over a 365 day period. My goal is ...
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Treating longitudinal data as a repeated cross section
Can you introduce bias by treating longitudinal data as a repeated cross section?
Suppose I have two data sources measuring the same variables. The first is a balanced panel dataset $\{y^{long}_{it},X^...
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Estimating average processing time based on complexity
We calculate average processing time (y) to monitor the efficiency of a process. The process can vary in complexity and we observe some proxies to assess the complexity of the process (x1, x2, x3).
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What counts as cross-sectional units (within which observationsare embedded)?
Observations can be nested/embedded within cross-sections or cross-sectional units that are measured. For instance, populations are distributed across regions. There are various methods for dealing ...
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Causality for cross sectional data
I have been reading and reading about causality for cross-sectional datasets (different variables including only ONE-YEAR information) and I am still confused...
CAN WE analyze causality in one-year ...
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Will creating a time series solve issues related to repeated cross-sectional analysis?
I aim to explore agricultural productivity over time using repeated cross-sections. If I assume a functional form and estimate TFP for each farm in the sample how would I examine the drivers of TFP ...
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What is the difference between a repeated cross-sectional survey design and a trend survey design?
Most of the references I have checked for repeated cross-sectional design and trend design (a type of longitudinal design) have said that they are one and the same. However, my professor says that ...
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Accounting for repeated measurements vs cross section with averages
If I had repeated measures of the units in my sample, is it always preferable to analyse as is and account for these with a method such as GEE or a multi-level model - because of the gain in ...
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Using bilateral export flows as a proxy variable in gravity model
I have used a gravity model (cross-section data) for my thesis and as a dependent variable, I have taken bilateral export flows which I used as a proxy to measure the risk of being exposed to a carbon ...
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Sample size calculation in an analytical cross-sectional study
I want to calculate the sample size for an analytical cross-sectional study I'm planning on doing. I want to find out if there's an association between an exposure and a disorder.
I will be finding ...
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Can I use the mean value of a dummy variable the same way I would use a dummy variable?
My dataset is composed of various country-level observations over the years. I am interested in the cross-sectionnal dimension of my database rather than the time series aspect. For this reason, I ...
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Unbalanced cross-sectional data
My research endeavors to explore the relationship between conflict exposure and attitudes towards international institutions. Specifically, my hypothesis posits that individuals who have experienced ...
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Can we include fixed effects in cross sectional data?
I'm new to econometrics and recently learned about fixed effects. If I have a cross sectional data, is it possible to include fixed effects? What seemed strange is that the number of dummy variables ...
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pooled cross section data
I want to find input demand elasticities using a cost function. Input quantities and input prices are available for individual farmers for 5 food crops and 5 years (2015-2019). But farmers may vary ...
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Books reference for econometrics for PhD that focus on the programming aspect [closed]
I'd like to know which book you would recommend for studying econometrics in a rigorous way at a PhD level.
I'm aware that this question has already been asked, but what I want to question is slightly ...
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Difference in Differences with binary outcome and repeated cross section
I have to do a public policy evaluation (on R) based on an article where the authors use a quarterly survey to study the effect of a parental leave reform in 2015(reducing the length of leave) on the ...
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How to estimate cluster robust errors in the presence of fixed effects for groups within cross sectional data?
I am dealing with cross sectional data that has groups within the observations. For example, the dataset of an online firm registered in one country that allows multiple banks from different countries ...
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Serial correlation for units accidentally picked in pooled-cross section data
I have a pooled cross-section dataset.
Suppose that, for every year from 2010 to 2020, I observe the individuals that apply for a bank loan.
Some individuals apply more than one time, i.e. more than ...
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Pooled cross-section or very highly unbalanced panel data?
Suppose I observe high school graduates applying to a certain college.
I want to model the probability to get admitted on the basis of individual characteristics (cognitive ability, test score, GPA, ...
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What is the difference between "repeated cross-section" and "pooled cross-section"?
What is the difference between "repeated cross-section" and "pooled cross-section"?
Pooled cross-section is defined e.g. here as "randomly sampled cross sections of ...
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Do I need to test for OLS assumptions(autocorrelation and normality) in cross sectional data with 2 time variant control variables?
My dataset consists of 950k unique loan observations over the period of 4 months. The institution is international, so it has some observations from different countries (not panel data). I am studying ...
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Polynomial Regression sensible in case with 6 cross-sectional points of experience?
I have a dataset of 300 cases of police students, spread over 6 semesters. They all filled out a survey at the same time (cross section), thus their experience is interval scaled since semester 1 ...
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What are the pitfalls of matching on the outcome variable pre-treatment?
Are conducting propensity score matching to compare the effect of treatment in a balanced sample, however one of the factors associated with the assignment of treatment is previous levels of the ...
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will it take the form of cluster? is regression analysis possible here?
i am working with some data regarding my PhD, where i am interested to see the ability of the institution of different villages of four districts in enhancing people's living condition.
here, through ...
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Am I really dealing with panel data?
I am working with a dataset that consists of multiple transactions from the multiple individuals over a span of roughly three years. From my research I understand that cross sectional data is rather a ...
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Is this a repeated cross-secitonal analyses?
I am using a dataset that has three waves divided by months (e.g., Wave 1 April to June 2021, Wave 2 July to September 2021, Wave 3 October to December 2021). Some of the participants have ...
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Developing a predictive model using only cross-sectional data
Let us assume I am trying to develop a predictive model that will give an indication of the progression of the percentage crack area on bridge decks. Engineering knowledge indicates that the crack ...
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repeated cross section v. panel data
What is the best way to describe the difference between a repeated cross-sectional and panel dataset?
I consider an example of measuring blood pressure for a set of patients $i\in\{1,...,N\}$.
A ...
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Difference-in-difference regression with pooled cross sectional data - fixed effects
I'm trying to estimate a difference-in-difference model with pooled cross-sectional data. The dataset consists of rental prices in one city for the years of 2011-2021 and includes a wide range of ...
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Three level multilevel model in r
I am conducting an analysis looking at trust across a range of 30 countries between 2002-2018. I am using repeated cross sectional survey data.
My data is structured so that individuals(level 1) are ...
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Testing whether two percentage changes from different datasets are statistically significantly different
I have data on Male strength at 40 and 70 years, and equivalent data for Women. I can calculate the raw and % differences in strength for each sex, and of course compare the raw values to see which ...
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Does directionality matter in regression for cross-sectional studies?
I am trying to see if slow walking is associated with certain brain regions. I think it makes most sense that brain atrophy leads to slow walking, so my model would be ...
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Representative Observation and Random sampling
Suppose that we have a cross-sectional data set drawn by random sampling.
Then, the data may represent our population of interests.
We can consider two subpopulations: male group and female group.
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How I can compare three models (nested) using lavaan with R?
I want to test a new model, and for doing this, as I only have cross sectional data, I need to compare different models. My model is like this:
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Can enough cross-sectional data eventually substitute for longitudinal studies?
Imagine there is an injection being recommended, and it’s to lower your risk of getting a disease. The injection is new, meaning almost no time has passed to do a proper longitudinal study on its ...
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Problem with weigts in survey analysis of GSS cross-sectional data
I have a dataset made from https://gss.norc.org/get-the-data
There is a description from the codebook how to use weights:
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Fixed effects in a cross-sectional data
I'm working with research that has cross-sectional data. I have collected information about publicly-listed banks in many countries. For example, for each bank I collected the following information:
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PR estimation of a cross sectional study with a continuous variable possibly by Cox proportional hazard regression
I have a table of a simple cross sectional data:
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Entropy balancing what are the gains in applying the technique?
I am developing a research that involves a model and when estimating it the coefficients were not significant. Because the hypotheses are strong, my advisor suspects that there is some problem in the ...
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Modelling longitudinal data using cross sectional data
I only have access to cross sectional data (surveys taken at one date after variable days after exposure). I want to show the relationship between the days after exposure and the survey measure but am ...
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Help for a cross sectional multiple regression
I am trying to make a regression on the following model:
Y = β0 + β1 X1 + β2 X2 + β3 X3 + β4 X4 error
I am studying the effect of X1 on Y and added X2, X3 and X4.
The data I have is cross sectional ...
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Testing for independence in clustered cross-sectional data
I am developing a multiple regression model using Expert-survey data on different ideological positions of political parties in Europe. So my dataset contains >200 political parties with different ...
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