This file describes the Data used in Leitner et al. (2015), PLOS



The Matlab file "S1_Dataset.mat" contains 2 arrays:



* Data_Baseline

* Data_cet_par



% ---

Data_Baseline refers to Figures 5 to 8 and has 5 dimensions of size [10000, 4, 7, 7, 4]:



Data_Baseline = (10000 sims, [Wrong project 0/1, TL, PL, CL], #projects 2-8, #departments 2-8, correlation .2, .4, .6, .8)



"Wrong project" is a binary variable, indicating if the wrong (1) project is chosen or if the best project - even in presence of noisy estimates is chosen (0) 



Thus, Data_Baseline(3481, 2, 3, 7, 3) refers to the Total Loss of the 3481th simulation run, for 4 projects, 8 departments and a correlation of .6



%---

Data_cet_par refers to the results presented in Table 9 and has 6 dimensions of size [10000, 4, 2, 2, 2, 12]:



Data_Baseline = (10000 sims, [Wrong project 0/1, TL, PL, CL], #projects 2 and 8, #departments 2 and 8, correlation .2, .8, altered parameters)



the dimension "ceteris paribus parameters" contains 12 values each, namely results of changes (as compared to the baseline scenario) in:



(1)  project horizon (T=3)

(2)  project horizon (T=7)

(3)  cost of capital (r_c=.05)

(4)  cost of capital (r_c=.15)

(5)  risk parameter (sigma = .05)

(6)  risk parameter (sigma = .15)

(7)  drift rate (mu = -.02)

(8)  drift rate (mu = +.02)

(9)  average outlay (f_kappa = .2)

(10) average outlay (f_kappa = .8)

(11) average efficiency (f_rho = .2)

(12) average efficiency (f_rho = .8)



%---

The Matlab file "S2_Dataset.mat" and "S3_Dataset.mat" contain 1 array each, named Data_red_error (the dataset is split into two parts due to the size of the file):



Data_red_error refers to Figures 9 to 14 and has 6 dimensions of size [5000, 4, 7, 7, 2, 6]:



Data_Baseline = (5000 sims, [Wrong project 0/1, TL, PL, CL], #projects 2-8, #departments 2-8, correlation .2, .8, known parameters)



the dimension "known parameters" contains 6 values each, namely results for perfectly predictable:



(1) cash flows (x)

(2) efficiency (rho)

(3) outlay (kappa)

(4) cash flows, efficiency (x, rho)

(5) cash flows, outlay (x, kappa)

(6) outlay, efficiency (kappa, rho)