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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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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Multi-Year Data with Level-1 Predictors and Level-2 Dependent Variables
I'm studying a multi-year program. Each year, individuals form teams and compete for a prize. I have predictor data about the individuals and the teams they formed each year, but my dependent ...
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I want to test the equality of coefficients of 2SLS structural model estimated from 3 cross-section household data 13 years apart.?
The dependent, exogeneous and instrumental variables are the same in the 2SLS technique I have used for 3 models.
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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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Multicollinearity in a demand system
I have a question regarding a paper I am currently reading, which can be found here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3819959.
The authors mainly rely on cross-sectional price data ...
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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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Doubt about Chow test for testing differences in regression function across groups
For simplicity I consider a model of hourly wage determination:
$$
wage =\beta_0 + \delta_0 female + \beta_1 education + u
$$
Where $wage$ is the dependent variable, hourly wage, $female$ is a dummy ...
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Fixed effects in a cross-sectional data
I'm new to econometrics and need some help with my research. I'm working with research that has cross-sectional data. I have collected information about publicly-listed banks in many countries. For ...
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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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Does pooled cross sectional data equal unbalanced panel data? [duplicate]
I am thinking about the difference between pooled cross sectional data and unbalanced panel data, especially in the context of fixed effect models.
What I can't get my head around is, where exactly ...
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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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On the use of FEs in repeated cross section
I have a repeated cross-section of state representative household surveys in the United States (20 years). Note the data is not longitudinal. For each year, the data was collected on a brand new ...
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Transforming time series to cross-sectional data
I believe i understand the basics of both time series and cross-sectional data and how they are collected. Doubt is why not convert some of the time series to traditional cross-sectional data. Say i ...
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Using longitudinal and cross-section data together
Suppose I have longitudinal data (for three time periods) on divorce (yes, no), and occupation (categorical). I also have data, at time 3, on financial stress (score from 0 to 10). Two individuals in ...
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prediction model for a cross sectional data for ONE YEAR
I have a set of cross sectional database in which are the scores of 30000 students in different subjects plus their sex and type of school, it looks like this (13 explanatory variables)
All these ...
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Sample size in Cross-sectional study
I have to calculate the sample size for a cross-sectional study conducted on children of different ages who suffered from neonatal stroke. The input variables are descriptive (weight at birth, ...
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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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Panel data: how to choose cross-sectional units in hierarchical model
I am working with panel data and I have flight delays for multiple airlines as a variable of interest. In order to proceed with estimations, I need to choose the cross-sectional units. I have a choice ...
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Compare Moran I at different time periods
Consider the case of X agents distributed in a geographical space.
Their number and spatial position is fixed over time.
However, their characteristics change from one time to another.
I can compute ...
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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 ...
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Diebold Mariano test for non time-series data
Can the Diebold Mariano test be used to compare the MSE of two models (trained on the same data) for non time series data?
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Pooled cross-sectional data or Fixed Effects?
Note: Apologies in advance for mistakes in terminology and understanding of the methods, I am a novice at this.
I would like to compare the mental health of different groups of immigrants (by region-...
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Usefulness of decomposition of time series in a panel data regression analysis setting?
So, I am working with panel data. The different panels are for the different inverters that are present inside a solar plant. Each panel has variables that are time variant and are sampled at a 15 min ...
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Test for nonlinearity in cross-sectional time series data in R
I have a cross sectional time series dataset that looks like this:
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complex Difference-in-difference formula
I have 5-year sales information from a grocery store in Canada. I want to check whether an event that happened in 2017, affected the effect of the price of a product on its sales.
For example, imagine ...
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Controlling for Exam Change in Regression Model?
I am analyzing exam data collected from participants who applied to an academic program. The data was collected from 2014-2018, and applicants only took the exam once when applying to the program (...
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Differences between time-series regression versus cross-sectional regression
I am currently trying to grasp the differences between time series regression and cross-sectional regression, because these terms are often used in papers about market predictability.
I understand ...
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How can I control for unobserved heterogeneity with cross-sectional data?
I want to run a cross sectional regression for 700 firms in the US to test the impact of working capital on profitability. I specifically want to limit my analysis to the 2008 financial crisis and ...
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Hierarchical models and fixed effects
I'm trying to model some data using hierarchical models. I have the data at two levels, I have information for different firms in seven countries, $Y_{ij}$. So, the data is a firm-country level.
I ...
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Which techniques can be used to explore causality in repeated cross-sectional data?
I have repeated cross-sectional data for certain variables during 51 years (hundreds of variables, measured every year). The number of samples (individuals) for which these variables are measured in ...
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Do we always need at least two time points in order to do a fixed effects model?
I have a question concerning fixed effects regression models. I have a cross-sectional data set which only accounts for one year (2017). I want to look at the effect of one individual factor (e.g., ...
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How many observations should a dummy variable encompass?
So I feel like this is a rather stupid question, but I can't find a straightforward explanation on the issue. When constructing a dichotomous dummy variable, how many observations should each category ...
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Creating a synthetic control with pooled cross-sectional data
Is there a way to create a synthetic control using pooled cross-sectional data, rather than a panel?
I'm analyzing a staggered reform and, so far, the methods I've found require having a panel: Ben-...
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Accounting for connectedness during the analysis of nodes in a directed acyclcic graph
I am studying a river network and environmental features measured at different stations along the network. Often, one station is higher up the river than another (or multiple others). I can ...
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Comparing job satisfaction of part-time workers from two different industries
I would like to compare the job satisfaction of part-time workers in the health industry and the financial industry. Should I do a t-test? How can I do this with R. Can I use stargazer to get a table ...
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