Can Probit or Logit Models Be Used on Panel Data with 50 Subjects?

In summary, it is possible to use probit or logit models on panel data. However, the number of individuals and the selection criteria can greatly affect the validity of the results. With 50 subjects, there should be enough data for reasonable statistics, but the sample is biased towards larger companies and may not be representative of smaller ones.
  • #1
monsmatglad
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Is it possible to use probit or logit models on panel data?

Mons
 
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  • #2
monsmatglad said:
Is it possible to use probit or logit models on panel data?

Mons
Yes, but depending on the number of people there may not be enough data to do any meaningful statistics. Also, depending on the selection criteria the panel may constitute a very biased sample
 
  • #3
I have about 50 different "individuals" and (optimally) 20 observations for each. the "individuals" are chosen based on a list of the 50 largest US, public companies at the time of the first observation. Do you see any immediate reasons for concern, based on this information (if I am using this data material for a logit or probit model)?

Mons
 
  • #4
50 subjects should be enough for reasonable statistics. Your sample is highly biased towards large companies, so your conclusions should not be generalized to smaller companies.
 
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1. What is panel data?

Panel data refers to a type of data that contains observations of multiple individuals, groups, or entities over a period of time. It is also known as longitudinal data or cross-sectional time series data.

2. How is panel data different from other types of data?

Panel data is different from other types of data, such as cross-sectional data or time series data, because it combines both cross-sectional and time series dimensions. This means that it contains information about multiple individuals or groups observed over a period of time.

3. What is the purpose of using panel data in research?

The use of panel data allows researchers to analyze changes over time and control for individual heterogeneity, which is the variation among individuals or groups. It also allows for the examination of dynamic relationships between variables.

4. How is probability used in panel data analysis?

Probability is used in panel data analysis to estimate the likelihood of certain outcomes occurring based on the observed data. It is used to make statistical inferences and draw conclusions about the relationships between variables in the panel data.

5. What are some common methods for analyzing panel data?

Some common methods for analyzing panel data include fixed effects models, random effects models, and generalized estimating equations. These methods take into account both the cross-sectional and time series dimensions of the data to make more accurate and robust inferences.

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