Cross section data is drawn at a single point in time as a sample of many different units from a certain population.

learn more… | top users | synonyms

-3
votes
0answers
18 views

STATA COMMAND ON MATCHING PROTOCOLE FOR MULTIVALUED TREATMENT [on hold]

Good morning, i would like to assess the impact of level of environmental compliance (treatment variable: 0=non compliance; 1=fair compliance; 2=good compliance; 3=excellent compliance) on firm ...
1
vote
0answers
18 views

What is demeaning data & what is its purpose?

What is demeaning a data? When it should be done? Or what is its use? Is it necessary to do for a cross section survey data before use for regression analysis?
1
vote
0answers
23 views

GMM Moment Condition

I have encountered some difficulties in solving the following exercise: Consider $(y_{i},x_{i})$, which are i.i.d pairs. We observe a random sample from this distribution. We want to estimate $\mu=E[...
0
votes
0answers
13 views

How to find frequency of string data on repeated cross section using STATA?

So I am looking at a dataset for auctions. I have all the bidders who won something, and how much they bid. This auction takes place every year. I wanna see if the same people come back every year to ...
0
votes
0answers
9 views

Causal Inference from cross-sectional survey data with recall questions and associated problems

I have a dataset from a cross-sectional study (n=121) where people where asked about production characteristics in 2015 and how they recall their production in 2010. One set of example questions could ...
0
votes
0answers
11 views

Interpretation of max and odds ratio

Please I will like to know how different or similar the interpretation of odds ratio results mad fixed effect results are. I will like to compare the result they provide
0
votes
0answers
25 views

My regression shows zero

After running my logit model I had one of the variables showing zero.. When I run the mix I get a zero and a dash when I run the odds ratio. It looks odd to me cos I haven't come across any such ...
0
votes
0answers
15 views

Time-Series Cross-Section or Multi Level

I trying to make a quite complicated model (for me at least) which i cannot figure out myself :/ I have a dependent variable (level of production) (and perhaps more than one - different types of ...
1
vote
0answers
27 views

Using several cross-sectional regressions (for different years) vs. a single fixed-effects panel model

I have what I think is a relatively simple question about the merits of performing a single panel regression with fixed effects as opposed to individual yearly cross-sectional regressions with the ...
0
votes
0answers
18 views

Analyzing repeated cross-sectional surveys

I'm planning analyses for a substance abuse prevention media campaign and the funder is interested in looking at change over time in perceptions and attitudes towards drug use. We will take a sample ...
2
votes
0answers
20 views

Regression models with several samples of the same people

I am trying to implement some regression models with my data of 56 features x 1500 samples to fit a response variable of 1x1500 and I am hesitating about the statistical validity of what I am trying ...
0
votes
0answers
32 views

Analysis for panel data

I have data by year, variables, and Metropolitan Statistical Area (MSA) for the state of Pennsylvania for the following variables for years 2000-2014: y = birthrate of firm/population of MSA x1 =...
0
votes
1answer
18 views

Simple cross-tabulated data and probability

I saw this question which I found confusing: Suppose 400 people are surveyed. For each person, they flip a coin and if it lands heads they are asked, A: Are you a student? otherwise they are ...
0
votes
0answers
26 views

difference in difference cross section or panel

Hello so i am doing some econometric on inflation targeting. What do you recommend I use if I am doing difference in difference with CPI quarterly: the method of collecting data on should it be cross ...
1
vote
1answer
50 views

cross-sectional data : regression model

I'm using a cross-sectional dataset ( just one point in time) and want to use a regression. In literature, mostly an OLS regression or a regression with fixed or random effects were used. However, I ...
0
votes
0answers
49 views

Logistic fixed-effects model with group-dummies

I have cross-sectional data with ~800 individuals nested within 6 countries, across 3 time points. Each individual is sampled only once, so time is cross-sectional here too. The number of individuals ...
0
votes
0answers
49 views

DiD Matching with Time-Varying Treatment and Repeated Cross Sectional Data

I am conducting research on the effect of modularizationg (dividing courses in modules) on early school leaving (dummy variable where 1 = left school prematurely). I would like to match my treatment ...
0
votes
0answers
44 views

second genration panel unit root tests

I'm conducting panel data analysis in Eviews-9 Fistly, I have obtained the result that the data in my study is cross-sectionally dependent. (there exists cross-section dependence) Therefore, I ...
1
vote
0answers
51 views

How to implement a two-level beta regression?

I am working with Time-series Cross-section data and my response variable is a proportion ranging from 0 to 1 (including 0 values but no 1s observed). Beta regressions, and especially the ...
0
votes
0answers
29 views

statistical tests for case-control studies on malnutrition

I got some data containing sociodemographic information (e.g. Age, level of education, BMI, type of employment) about mothers of malnourished and well-nourished children. I am trying to design it as a ...
2
votes
3answers
253 views

What level should I cluster at in my regression?

So I am running a pooled OLS. My dependent variable is house prices, and my main explanatory variables are job creation and distance to job creation, plus a raft of control variables. The housing ...
0
votes
1answer
77 views

Structuring data for ticket sale analysis

I have some experience doing statistical analysis but most of it has been practiced using data formatted specifically for that type of regression/analysis. I now have my own data set but I'm at a loss ...
1
vote
1answer
83 views

Statistical differences between longitudinal and cross-sectional data

I would like to start a follow-up discussion to an existing question on cross-validated: Difference between longitudinal design and time series. Most of the answers there tend to make distinctions ...
0
votes
0answers
110 views

Is serial and cross-sectional correlation a problem for random forest?

I apply random forest on panel data (many countries over many years). I was wondering whether serial correlation (i.e. the value of a time series depends on its value in previous periods) and cross-...
0
votes
0answers
8 views

Separate-Sample versus Pooled-Sample Estimation of Interactive Effects

I have a question regards pros and cons for Separate-Sample versus Pooled-Sample Estimation of Interactive Effects, when alayzing group differences. For instance, I am interested in the effect of a ...
1
vote
1answer
34 views

In linear regression, what is the difference between controlling for a random variable and standardizing the DV by that random variable?

I am working on a project where my dependent variable is the number of violent events in a given city. It is obvious that cities that are highly populated are going to have a higher number of these ...
1
vote
1answer
69 views

Modeling repeated measures of cross-sectional county level data

I'm currently preparing an analysis project and am wondering people's thoughts on how to best model these data. I have 8 waves of data from a statewide random sample of 6, 8, 10, & 12 graders that ...
0
votes
0answers
27 views

How should I interpret the results of these two models?

I have a panel data set with two time points: t and t+10. I first ran cross-sectional models for data at t and t+10 separately Y = a + bX b is statistically significant in both models, indicating X ...
0
votes
1answer
38 views

Variables for Local Economic Environment

I'm working on a regression to explain store sales (cross section data over a number of stores in one time frame only). Some of my variables are 'min distance to competitor x'. However, the results ...
0
votes
0answers
70 views

Time-series cross-sectional classification problem

I have a time-series cross-sectional dataset consisting of 100 individuals that each had 4 features measured yearly for 21 consecutive years. One of the features is binary and the other three are ...
1
vote
0answers
19 views

Assessing dependencies

I am looking for a method to assess the dependencies between random variables (cross sectional data). I know that I can use copulas models, but I'd like to see if there are any other alternatives.
3
votes
0answers
71 views

Test whether cross-sectional dependence in panel data follows known (network/spatial) structure

I want to test whether cross-sectional dependence in one specific variable (y) in panel data format follows a known structure (W) (e.g. network, spatial dependence), after controlling for individual ...
2
votes
1answer
761 views

Causal inference from Cross sectional study

As far I know that, causal inference can make for longitudinal study. Is their anyway way to make causal inference from cross sectional study design? If yes, how can I do this? Please share if any ...
0
votes
1answer
56 views

Interpreting OLS Cross-Sectional Macro Data

I have the following model: $y=a_0+a_1(x_1/z_1)+a_2(x_2)+e $, where $y$ = the average log of variable y, $x_1$ = the average ratio of $ x_1/z_1 $, $x_2$ = is the averae log of the variable $x_2$. ...
1
vote
0answers
407 views

Analyzing Independently Pooled Cross Sectional data (TIme series)

I am new with time-series data analysis. It seems that there is some confusion in terminology (Panel, and time-series cross-sectional). But my question is general in nature. How do I analyze a ...
0
votes
0answers
60 views

can individuals resampled in reoccurring cross section surveys be considered as panel dataset?

I have data from a reoccurring cross sectional firm survey, For every year a new sample was selected ( with replacement between years). The data is identified, so I can see the subset of firms appear ...
2
votes
0answers
174 views

Is there any difference between pooled cross section and pseudo panel data?

I have a 17 years (1997 - 2014) of data from independents surveys. It's a large dataset (with around 1.2 million observations), which I'm using to measure the effect of distance on unemployment length....
2
votes
2answers
246 views

What to call exponentiated coefficients from a Poisson/negative binomial regression of cross-sectional data

In epidemiology, exponentiated coefficients are often reported as odds ratios, relative risks/ incidence rate ratios or hazard ratios. In the analysis of cross-sectional data using Poisson/negative ...
1
vote
1answer
288 views

Avoiding spurious regression with cross-sectional data

I have been reading everything I can get my hands on about spurious regression but can't seem to definitively find out what is best in regressing cross-sectional data including non-stationary ...
0
votes
1answer
84 views

type of study and sample size

I'm a medical student and for my thesis I'll study some features of the retina in patients in neurodegenerative disorders (Parkinson, Alzheimer) compared with controls. We are not going to make a ...
0
votes
0answers
21 views

probability life similarities in a population cross section

I have just read up on Bouchard's Minnesota Twins study that turned up some amazing identical similarities in the lives of some identical twins reared apart. Both had same jobs, married and divorced ...
2
votes
1answer
694 views

Time Series Cross Sectional Analysis and Forecasting With R

cty time tl Argentina 2009_Q4 3 Argentina 2010_Q1 2 Argentina 2010_Q2 7 Argentina 2010_Q3 7 Argentina 2010_Q4 10 Argentina 2011_Q1 7 Argentina 2011_Q2 7 Argentina ...
1
vote
1answer
95 views

Help with determining model for cross-sectional data where all variables are dummies

I am currently working on my dissertation project where my data are essentially all dummies. From my dependent to my independent variables, everything is a dummy variable (0,1), at least for the ...
0
votes
0answers
21 views

How to test multiple group mean different than unconditonal mean using regression?

Let's say we have N apples from multiple vendors (A, B, C, D) and want to test if mean weight of each vendor group different than unconditional mean weight. I know I can use cross sectional dummy ...
1
vote
0answers
230 views

Cross-Section Dummy Variables in a Logistic Regression

first of all - I am not really into regression analysis (I have performed some linear regressions) and my statistic/econometric skills are more or less elementary. I have panel data (several ...
1
vote
1answer
377 views

Interpreting transformed dependent and independent variables [duplicate]

How would I interpret a transformed dependent variable (4th root) with some of its predictor variables transformed as well? In our study, we transformed our dependent variable to 4th root, $Y^\frac{1}{...
1
vote
0answers
313 views

Interpreting coefficients of Regression Model (Mincer Model)

Hi all, I am an undergraduate student who is currently doing an assignment. I am now facing a few problems which are:- 1) Age is usually a positive return to wage, but in my regression output, that's ...
0
votes
0answers
117 views

Cross correlation in Stata

I have a cross sectional dataset of investment figures (in $) and a set of dependent variables. The data relates to various years (2000-2013). More than one investment is included in the dataset for ...
0
votes
0answers
101 views

Error in variables problem and maximum likelihood estimation in R

I am estimating cross-sectional regressions - fragment: lm(rate~liqamih.log+cap.log+F1+F2, data=x) of the R code listed below. F1 and F2 are the coefficients estimates of time series model. In ...
5
votes
1answer
117 views

Accounting for post-intervention bias following propensity matching

Using a large, cross-sectional survey of victims of violence, I am interested in testing the effect of alcohol intoxication (let's call it the 'treatment') on victims' subjective rating of the ...