panel

  1. D

    Help for my dissertation - quantitative analysis

    Good morning I hope you can help. If I have 1 year data of: Number of enterprises, employment, and turnover of UK businesses -by size -by region -by industry can I use this data as dependent variable to do a regression and correlation on the manufactoring sector by region? Link...
  2. N

    Interaction between a time-varying and a time invariant variable? (Panel regression)

    Hi everyone, I have got a question regarding the specification of interaction effects in panel regressions (fixed effects within estimators). I would like to know: Can I create an interaction-term between a time-varying and a time-invariant variable? Some background: My data is from...
  3. H

    Should I standardize response variables in a panel regression?

    Suppose I have the following Data Yit = price of one foreign currency in one US dollar, at time t, where i= different countries[Australia, Japan] Xit=employment rate and other explanatory variables of that country at time t I want to run panel regression [fixed effect/random effect] . Should...
  4. C

    SEM CFA results in error for longitudinal data

    I am trying to build a longitudinal measurement model of a "strategy construct" using SEM. As long as I am building the model for each year individually, I have no problem and Stata's SEM converges. I use the following code...
  5. V

    Analysing Panel Poisson Coefficients

    Hi, I'm running a panel poisson regression with fixed effects in Stata. The result in Stata doesn't display a constant. Normally I use standard poisson regression and then the coefficients represent the procentual change of the constant. So I'm confused about how to interpet the coefficients...
  6. V

    First differences

    I have a panel data set over a 5 year period, with which I have undertaken pooled ols, fixed effect and random effect estimation. Conducting a Hausman test shows that fixed effects is the most appropriate model. I have been advised that I need to carry out a first difference regression. Is it...
  7. A

    Panel Data: Vary in time but constant for all individuals

    Dear all, we are using a standard panel model like Y_it = a_i + b*X_it + e_it. For one additional variable (prices=P) we only have observations through time, but not across individuals, i.e. prices are the same for all individuals (think of "i" being the districts and prices are given for...
  8. B

    Logistic Regression - Equation

    Hi! I run a logistic regression, and i know that it can be written as Pr(y=1)=F(a+b_1*x+b_2*z). With y being the dependent variable, a the intercept, b_ the coefficients and x&z the independent variables. Concerning the notation only: Any ideas how I could write this for x and z being...
  9. A

    Partially linear (semi-parametric) difference in differences models with clustered SE

    Hi All, I'm digging through stats literature, and not really finding what I need. I'm looking for a difference in differences estimator that uses the within transformation (subtracting off the means of all variables to lose the fixed effects), that can accomodate more than one non-linearly...
  10. R

    How to perform regression on panel-data with timelag in SPSS?

    For my thesis, I have gathered search volume data ("svi") from Google and message data from Twitter ("tweets" is the number of daily tweets) for serveral companies ("comp"). The variable "tradevol" is the trading volume in the stock of a company, as taken from Yahoo! Finance. "svi" and "tweets"...
  11. H

    Long format for OLS?

    Hello everyone, I am currently working on a project for which I use a panel analysis and ordinary least squares analysis. For the panel analysis I transformed the data set into a long format. afterwards I tested a hypothesis using OLS and kept the long format. Now I am thinking, is this...
  12. J

    Nonlinear Panel Regression in R

    Hello World. I have a micro data set for my local CPI basket structured as (panel data with varying monthly periods over set products) in Eviews. I however, need to run a Logit model on a number of covariates which include a set of dummies. Eviews is limited in this regard (in that it cannot...
  13. R

    Gretl - Pooled Time Series Cross Sectional Data

    I've been working on a multiple regression analysis on bank failures using a probit model. I am currently using cross sectional data but I would like to use time series data in order to use historical data and increase the sample size. I am unsure of how to do this using the Gretl interface...
  14. S

    Panel Data: Conducting N time-series regressions and averaging coefficients

    Hi, I stumbled upon a special regression method in a published paper (A+ journal) that I hadn't heard before. In dealing with a panel data set, the authors perform a time-series regression for each single entity. As they explain, "The reported coefficient values are averages of the...