## Is it possible to combine time series and cross-sectional data and analysis?

A simple answer is “yes” – by using the time series data to estimate values at the time of the cross-section then comparing these with the cross-sectional data.

### What is cross-sectional time series study?

Cross sectional data consist of observations of many subjects at the same point in time. Time series data focuses on the same variable over a period of time. On the other hand, cross sectional data focuses on several variables at the same point in time.

#### How would you differentiate cross-sectional time series pooled and panel data explain with suitable examples?

Panel data differs from pooled cross-sectional data across time, because it deals with the observations on the same subjects in different times whereas the latter observes different subjects in different time periods.

**What is cross sectional regression analysis?**

In statistics and econometrics, a cross-sectional regression is a type of regression in which the explained and explanatory variables are all associated with the same single period or point in time.

**When should you Detrend data?**

One of the most common uses of detrending is in a data set that shows some kind of overall increase. Detrending the data will allow you to see any potential subtrends, which can be incredibly useful for scientific, financial, sales, and marketing research across the board.

## What is cross-sectional model?

Cross-Sectional Multi-Factor Model Cross-sectional models estimate stock returns from a set of variables that are specific to each company, rather than through factors that are common across all stocks. Cross-sectional models use stock-specific factors that are based on fundamental and technical data.

### What is the difference between fixed and random effect model?

A fixed-effects model supports prediction about only the levels/categories of features used for training. A random-effects model, by contrast, allows predicting something about the population from which the sample is drawn.

#### What are fixed factors in SPSS?

Fixed Factors are categorical independent variables. It does not matter if the variable is something you manipulated or something you are controlling for. If it’s categorical, it goes in Fixed Factors.

**What is a fixed effect variable?**

Fixed effects are variables that are constant across individuals; these variables, like age, sex, or ethnicity, don’t change or change at a constant rate over time. They have fixed effects; in other words, any change they cause to an individual is the same.

**Is fixed effects the ‘default’ model for time-series-cross-section and panel data?**

This article challenges Fixed Effects (FE) modeling as the ‘default’ for time-series-cross-sectional and panel data. Understanding different within and between effects is crucial when choosing modeling strategies.

## Is it possible to model cross-sectional time series in SPSS Statistics?

The SPSS Trends package only allows you to model one series at a time. Is there a way to model cross-sectional time series in SPSS Statistics? Some cross-sectional time series may be analyzed using mixed linear modeling procedures. In this solution, we provide an example of this kind of model using the MIXED procedure SPSS Statistics.

### What are fixed fixed effects and random effects models?

Fixed effects (FE) modeling is used more frequently in economics and political science, reflecting its status as the “gold standard” default (Schurer and Yong 2012, 1). However, random effects (RE) models—also called multilevel models, hierarchical linear models and mixed models—have gained increasing prominence in political science (Beck and Katz

#### How to analyze cross-sectional time series using mixed linear modeling procedures?

Some cross-sectional time series may be analyzed using mixed linear modeling procedures. In this solution, we provide an example of this kind of model using the MIXED procedure SPSS Statistics. The GENLIN procedure, which offers GEE (generalized estimating equations) estimation is also available.