clean

robertdkirkby · robertdkirkby · commit 2e1a0faac02a · 2025-05-04T21:31:14.000+12:00
diff --git a/DiscretizationMethods/discretizeLifeCycleAR1_KFTT/discretizeLifeCycleAR1_KFTT.m b/DiscretizationMethods/discretizeLifeCycleAR1_KFTT/discretizeLifeCycleAR1_KFTT.m
@@ -1,5 +1,5 @@
 function [z_grid_J, pi_z_J,jequaloneDistz,otheroutputs] = discretizeLifeCycleAR1_KFTT(mew,rho,sigma,znum,J,kfttoptions)
-% Please cite: Kirkby (working paper)
+% Please cite: Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models
 %
 % KFTT discretization method for a 'life-cycle non-stationary AR(1) process with
 %    gaussian innovations'. 
@@ -44,7 +44,7 @@
 %
 % !========================================================================%
 % Original paper:
-% Kirkby (working paper)
+% Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models
 
 mewz=zeros(1,J); % period j mean of z
 sigmaz = zeros(1,J); % period j std dev of z
diff --git a/DiscretizationMethods/discretizeLifeCycleAR1wGM_KFTT/discretizeLifeCycleAR1wGM_KFTT.m b/DiscretizationMethods/discretizeLifeCycleAR1wGM_KFTT/discretizeLifeCycleAR1wGM_KFTT.m
@@ -1,5 +1,5 @@
 function [z_grid_J, pi_z_J, jequaloneDistz,otheroutputs] = discretizeLifeCycleAR1wGM_KFTT(mew,rho,mixprobs_i,mu_i,sigma_i,znum,J,kfttoptions)
-% Please cite: Kirkby (working paper)
+% Please cite: Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models
 %
 % KFTT discretization method for a 'life-cycle non-stationary AR(1) process with
 %    gaussian-mixture innovations'. 
@@ -38,7 +38,7 @@
 %
 % !========================================================================%
 % Original paper:
-% Kirkby (working paper)
+% Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models
 
 mewz=zeros(1,J); % period j mean of z
 sigmaz = zeros(1,J);

Original file line number	Diff line number	Diff line change
`@@ -1,5 +1,5 @@`
`1`	`1`	`function [z_grid_J, pi_z_J,jequaloneDistz,otheroutputs] = discretizeLifeCycleAR1_KFTT(mew,rho,sigma,znum,J,kfttoptions)`
`2`		`-% Please cite: Kirkby (working paper)`
	`2`	`+% Please cite: Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models`
`3`	`3`	`%`
`4`	`4`	`% KFTT discretization method for a 'life-cycle non-stationary AR(1) process with`
`5`	`5`	`% gaussian innovations'.`
`@@ -44,7 +44,7 @@`
`44`	`44`	`%`
`45`	`45`	`% !========================================================================%`
`46`	`46`	`% Original paper:`
`47`		`-% Kirkby (working paper)`
	`47`	`+% Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models`
`48`	`48`
`49`	`49`	`mewz=zeros(1,J); % period j mean of z`
`50`	`50`	`sigmaz = zeros(1,J); % period j std dev of z`
Original file line number	Diff line number	Diff line change
`@@ -1,5 +1,5 @@`
`1`	`1`	`function [z_grid_J, pi_z_J, jequaloneDistz,otheroutputs] = discretizeLifeCycleAR1wGM_KFTT(mew,rho,mixprobs_i,mu_i,sigma_i,znum,J,kfttoptions)`
`2`		`-% Please cite: Kirkby (working paper)`
	`2`	`+% Please cite: Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models`
`3`	`3`	`%`
`4`	`4`	`% KFTT discretization method for a 'life-cycle non-stationary AR(1) process with`
`5`	`5`	`% gaussian-mixture innovations'.`
`@@ -38,7 +38,7 @@`
`38`	`38`	`%`
`39`	`39`	`% !========================================================================%`
`40`	`40`	`% Original paper:`
`41`		`-% Kirkby (working paper)`
	`41`	`+% Kirkby (2025) - Discretizing Earnings Dynamics: Implications of Gaussian-Mixture Shocks for Life-Cycle Models`
`42`	`42`
`43`	`43`	`mewz=zeros(1,J); % period j mean of z`
`44`	`44`	`sigmaz = zeros(1,J);`