Suppose, the semiparametric regression ( Robinson's estimator) say that the function is quadratic. How can I estimate the derivative function of that quadratic function? Is there any STATA code or R-package available?
Maybe this helps:
If you know the exact function definition (or you can obtain it from estimation), you can use the "deriv" function in R.
Given arbitrary function, you can approximate the function with "splinefun", than use that estimated function to obtain derivatives:
f_true
Andrews and Kim (2006). " Tests for Cointegration Breakdown Over a Short Time Period", Journal of Business and Economics Statistics, Volume 24, 2006 - Issue 4, pp: 379-394. Several articles have...
11 December 2017 1,670 2 View
Which software can perform (MATLAB/R/STATA/EvIews) Andrews and Kim's (2006) break-point cointegration test? Is there any package or code available?
10 November 2016 5,102 2 View
How can I get capital-labor ratio for each country? Does the PWT table calculate this ratio?
31 December 2015 5,717 2 View
If data set is in panel-form, then can we perform principle component analysis( PCA) for overall data? Or, should we perform PCA on individual basis?
10 November 2015 6,071 4 View
If one of my variables is an index variable, then can I perform granger causality test ( time series or panel )? If the index variable is the main independent variable, can I perform the...
06 July 2015 4,437 5 View
01 January 1970 2,664 0 View
I am trying to analyse data from a survey examining what variables affect teachers perceived barriers to incorporating technology into their classroom. I have 5 predictor variables however my DV...
06 August 2024 1,752 3 View
I am using unit level data (IHDS round 2) & Stata 17
06 August 2024 5,725 2 View
When we conduct linear regression, there are several assumptions. The assumption of normality is whether the residual errors are normally distributed, not whether a predictor is normal?
31 July 2024 6,164 3 View
I am currently working on a regression model for a project and considering using both Random Forest and Decision Tree algorithms. Given that Random Forest is essentially an ensemble of Decision...
23 July 2024 4,306 3 View
In my data set, T is greater than N, so I chose quantile regression for my data set. So is it appropriate for that?
15 July 2024 6,416 4 View
Why direct inversion of mutivariate regression equation is not preferred and instead optimization techniques are used?
15 July 2024 8,642 3 View
Hi guys, in the context of my master thesis i analyze the statistical relationship between income and subjective well-being (Panel: SOEP, n: 300.000 observations over 10 years). After creating a...
13 July 2024 7,539 6 View
I created Bland Altman Plot to assess the difference, But I want to visualize the difference between the two curves in the same graph.
02 July 2024 5,361 0 View
I utilized a Bayesian state space model to analyze the data. The 95% confidence interval, which ranges from 0.0 to 1.2, prompts the question: Is the regression coefficient significantly different...
01 July 2024 9,575 2 View
I means exactly ,linear regression like ( logit , inverse power ...), what is the difference between each other ?
01 July 2024 4,479 1 View