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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Panel regression with exogenous time-invariant categorial variables
I have a panel data set with a continuous endogenous variable and exogenous time-invariant categorial variables (and also some continuous exogenous variables). Now I am wondering which panel ...
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How to use inter-individual time series (panel) to predict cross sectional data?
I'm trying to analyze head rotation (euler angles on axes x y z) over time in order to predict motion sickness scores (from 0 to ~ 15). I have 12000 points (per axis) per individual and 35 individuals....
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Does a cross-sectional data have one point per user?
This probably is a very basic question and I might be missing something on the definition, but does cross-sectional data have more than one point per user?
In other words, suppose I have a dataset of (...
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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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Do we expect sorted or unshuffled single variable outcomes to be the cause, a mere artifact, or generally prevalent?
Forgive me if this is a high school AP level theorem, my last stats class, but how can we treat upon a y-axis outcome an endogenous exogenous cause from an unnecessary but sufficient artifact. A (1) ...
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What is an appropriate threshold to estimate if there is serial correlation in cross sectional data
I have cross sectional dataset with several groups (46 banks) within the data. I am aware normally one would use cluster robust errors by clustering errors at the group level by including a dummy ...
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Computing autocorrelation of a time-series observed on different instruments (2D data)
I am interested in the autocorrelation properties of a time-series that can be observed on different instruments / timestamps. As an example, I may want to know if in general, stock returns exhibit ...
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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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Scenario volatility methods
I have 1000 scenarios (time series) of length 15 years x 12 months = 180 months for one asset's return. The model that underlies the scenarios is unknown.
I want to say something about the projected/...
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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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Repeated cross section data analysis with fraction of treatment as RHS variable
Suppose the data is yearly and each survey respondent's location is identified at the state level. However, the treatment is at the county level, so for a typical state-year, only a fraction 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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Is this data time series or panel
I am working with a dataset of an online institution that is registered in one country, but has customers from across the world. I am working with a sample period of 5 months in 2022. I am unable to ...
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Statistical analysis query for a cross-sectional questionnaire study
I am planning to run a study looking at self-rated stress caused by a large number of stressors in the workplace (e.g., poor work-life balance, lack of control over schedule, rude clients, etc). There ...
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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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Fixed effects in pooled cross section data
I am using two rounds of nationally representative dataset in which the samples are different. While the literature says that we cannot apply fixed effects in polled cross section data but I ...
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SPSS Statistics HELP - Likert data
I have a cross sectional sample of around 300 respondents. The sample collects data on individuals living with a certain mental health disorder.
The variables are as follows:
Continuous dependent ...
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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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Multinomial logit vs. expanded panel regression
I want to show that firms tend to be founded in MSAs with other firms operating in similar industries (e.g., average cosine similarity with every existing firm in the MSA). I am considering the ...
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Multiple Comparisons Problem in Cross Sectional and Panel Data
I am not sure if this question will make sense to someone who is actually knowledgeable about statistics but it is causing me some confusion.
I am working on a project using panel data that collects ...
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Smple size for analytical cross sectional studies, that does not have a previous study to detect the effect size from
I conducted an analytical Cross-Sectional Study, the aim was to detect the difference between exposed group and control group in regard to an outcome. Because there was no previous study investigating ...
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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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Why include fixed effect in cross sectional ols?
Consider repeated cross-sectional data that contains observations in 10 provinces from 2011 to 2015. Each observation is an individual, but the same person is not observed each year, instead, ...
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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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Simple size calculation in a X-sectional study - 95% CI, alpha 5%, existing prevalence 22%, response rate 80%, power (minimum) 80%
I would kindly need your support. I'm planning a research project to estimate the prevalence of hypertension (HTN) and diabetes mellitus (DM) in IDPs. The prevalence of HTN from other studies was 22% ...
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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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When to use Time Series Cross Section vs. Single period aggregate difference cross section?
Im struggling with understanding when I should be using time series vs a single time aggregated period cross sectional.
Say I have many customers and i want to understand the impact of marketing on ...
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Cross-sectional study design with no control group compares 2 treatment arms
There is a trend among medical research that assesses cross sectional (singular point in time) treatment comparisons between 2 treated groups in retrospective data. In other words the a person who ...
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Doing T-test across two data sets [closed]
So our paper is undergoing a second round of reviews and one of the reviewers asked the following question:
"Add a t-test for wave 1 vs. wave 2. They won't be perfect, but if they are included as ...
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Study seems to show inconsistencies in study population
I'm currently reading this paper about the adherence of health check-ups in the korean population and try to make sense out of the given numbers. In particular I am confused about the adherence to ...
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Difference Score as Outcome Variable [duplicate]
I am trying to evaluate the effect of a certain policy on the achievement gains of students between two points in time. However, not all the students are exposed to this policy. I am supposed to use ...
