Download 42/replication_package/model_replication/Simple Exponential/simulate.m from chuxuan/REPRO-Bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/chuxuan/REPRO-Bench/resolve/main/42/replication_package/model_replication/Simple%20Exponential/simulate.m
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hf download 'hf://datasets/chuxuan/REPRO-Bench/42/replication_package/model_replication/Simple Exponential/simulate.m'
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curl -L -o simulate.m https://huggingface.co/datasets/chuxuan/REPRO-Bench/resolve/main/42/replication_package/model_replication/Simple%20Exponential/simulate.m
10.7 kB
| close all | |
| set(groot, 'DefaultAxesLineWidth', 1.5); | |
| set(groot, 'DefaultLineLineWidth', 4); | |
| set(groot, 'DefaultAxesTickLabelInterpreter','latex'); | |
| set(groot, 'DefaultLegendInterpreter','latex'); | |
| set(groot, 'DefaultAxesFontSize',24); | |
| N = 2500; | |
| T = 450; | |
| A = zeros(2*N, T + 1); % Liquid Assets | |
| Th = zeros(2*N, T + 1); % initial mortgage size | |
| C = zeros(2*N, T); % consumption | |
| L = zeros(2*N, T); % liquidity after making housing choice | |
| R = zeros(2*N, T); % decision to refinance | |
| X = zeros(2*N, T); % amount extracted | |
| Age = zeros(2*N, T); % age of loan | |
| % First simulate history of shocks to income | |
| rng(100); | |
| Y = randn(N, T)*se; | |
| Y = exp([Y; -Y]); | |
| Th(:, 1) = p.thetam; | |
| A(:, 1) = 0; | |
| Age(:,1) = 1; | |
| for t = 1 : T | |
| unif = rand(2*N, 1); | |
| state = [(1 + p.rl)*A(:,t) + Y(:,t), Th(:,t)]; | |
| [~, pall, ~, Lall, thetall] = solveh(state, Winterp, p); | |
| R(:,t) = unif <= pall(:,1); | |
| L(:,t) = Lall(:,1).*R(:,t) + Lall(:,2).*(1 - R(:,t)); % when many options: generate a single unif and ask which interval belongs to | |
| Th(:, t+1) = thetall(:,1).*R(:,t) + thetall(:,2).*(1 - R(:,t)); | |
| cmax = bisect('savings', 1e-13, 1e5, L(:,t), p, amin); % c that implies a' = amin | |
| cmin = bisect('savings', 1e-13, 1e5, L(:,t), p, amax); % c that implies a' = amax | |
| C(:,t) = max(min(Cinterp(L(:,t), Th(:,t+1)), cmax), cmin); | |
| [~, A(:, t+1)] = savings(C(:,t), L(:,t), p); | |
| Age(:, t+1) = (Age(:,t) + 1).*(1 - R(:,t)) + R(:,t); | |
| X(:,t) = (Th(:,t+1) - Th(:,t))./Th(:,t).*R(:,t); | |
| end | |
| A(:, 1 : 150) = []; | |
| Th(:, 1 : 150) = []; | |
| C(:, 1 : 150) = []; | |
| R(:, 1 : 150) = []; | |
| L(:, 1 : 150) = []; | |
| Y(:, 1 : 150) = []; | |
| X(:, 1 : 150) = []; | |
| Age(:, 1 : 150) = []; | |
| Asave = A; | |
| Thsave = Th; | |
| Csave = C; | |
| Lsave = L; | |
| Rsave = R; | |
| Ysave = Y; | |
| Xsave = X; | |
| Agesave = Age; | |
| A(:, end) = []; | |
| Th(:, end) = []; | |
| Age(:, end) = []; | |
| Age = floor(Age/4); | |
| D = Th.*p.hbar; | |
| W = A + p.hbar - D; | |
| Yh = p.phi^(1/p.gamma)*C.^(-p.sigma/p.gamma); | |
| figure(2) | |
| id = 1; | |
| subplot(1, 3, 1), plot([C(id, :)', Y(id, :)']); | |
| title('Consumption and Income', 'Interpreter','Latex'); | |
| h = legend('consumption', 'income'); | |
| set(gca, 'ygrid', 'on') | |
| set(h,'Interpreter','latex'); | |
| subplot(1, 3, 2), plot([A(id, :)', p.hbar.*(1 - Th(id, :)')]); | |
| title('Wealth', 'Interpreter','Latex'); | |
| set(gca, 'ygrid', 'on') | |
| h = legend('liquid', 'illiquid'); | |
| set(h,'Interpreter','latex'); | |
| subplot(1, 3, 3), plot(Th(id, :)'); | |
| title('Debt', 'Interpreter','Latex'); | |
| set(gca, 'ygrid', 'on') | |
| set(h,'Interpreter','latex'); | |
| fextract = mean(vec(X >= 0.05))*4; | |
| medianextract = median(X(X >= 0.05)); | |
| HY = p.hbar./Y/4; | |
| PTI = p.mbar*p.hbar./Y; | |
| moment_model = zeros(60, 1); | |
| moment_model(1) = mean(W(:)) /mean(vec(Y))/4; | |
| moment_model(2) = p.hbar /mean(vec(Y))/4; | |
| moment_model(3) = mean(D(:)) /mean(vec(Y))/4; | |
| moment_model(4) = mean(A(:)) /mean(vec(Y))/4; | |
| moment_model(5) = fextract; | |
| moment_model(6) = mean(vec(Yh))/mean(vec(C)); | |
| moment_model(7 : 11) = prctile( A(:), [10; 25; 50; 75; 90])/mean(vec(Y))/4; | |
| moment_model(12 : 16) = prctile(Th(:), [10; 25; 50; 75; 90]); | |
| moment_model(17 : 21) = prctile((1 - Th(:)).*p.hbar./W(:), [10; 25; 50; 75; 90]); | |
| moment_model(22 : 26) = prctile( W(:), [10; 25; 50; 75; 90])/mean(vec(Y))/4; | |
| moment_model(27 : 31) = prctile(PTI(:), [10; 25; 50; 75; 90]); | |
| moment_model(32 : 36) = prctile(HY(:), [10; 25; 50; 75; 90]); | |
| moment_model(37 : 41) = prctile(Age(:), [10; 25; 50; 75; 90]); | |
| moment_model(42) = medianextract; | |
| moment_data = [1.45; 1.82; 0.83; 0.46; 0.08; 0.23; -0.04; 0.01; 0.15; 0.68; 1.69; | |
| 0.18; 0.39; 0.62; 0.77; 0.88; 0.36; 0.64; 0.87; 0.99; 1.04; 0; 0.04; 0.73; 2.34; 3.94; | |
| 0.05; 0.08; 0.11; 0.17; 0.24; 1.02; 1.62; 2.48; 3.78; 6.43; 0; 1; 3; 6; 10; 0.23]; | |
| fprintf('\n') | |
| fprintf('Aggregate Wealth to Income = %9.2f %9.2f\n', [moment_model(1), moment_data(1)]); | |
| fprintf('Aggregate Housing to Income = %9.2f %9.2f\n', [moment_model(2), moment_data(2)]); | |
| fprintf('Aggregate Debt to Income = %9.2f %9.2f\n', [moment_model(3), moment_data(3)]); | |
| fprintf('Aggregate Liquid assets to Income = %9.2f %9.2f\n', [moment_model(4), moment_data(4)]); | |
| fprintf('Non-Market Production to Consumption = %9.2f %9.2f\n', [moment_model(6), moment_data(6)]); | |
| fprintf('\n') | |
| fprintf('Fraction Borrowers who extract = %9.2f %9.2f\n', [moment_model(5), moment_data(5)]); | |
| fprintf('Median Change in the Balance = %9.2f %9.2f\n', [moment_model(42), moment_data(42)]); | |
| fprintf('\n') | |
| fprintf('10 pctile liquid assets owners = %9.2f %9.2f\n', [moment_model(7), moment_data(7)]); | |
| fprintf('25 pctile liquid assets owners = %9.2f %9.2f\n', [moment_model(8), moment_data(8)]); | |
| fprintf('50 pctile liquid assets owners = %9.2f %9.2f\n', [moment_model(9), moment_data(9)]); | |
| fprintf('75 pctile liquid assets owners = %9.2f %9.2f\n', [moment_model(10), moment_data(10)]); | |
| fprintf('90 pctile liquid assets owners = %9.2f %9.2f\n', [moment_model(11), moment_data(11)]); | |
| fprintf('\n') | |
| fprintf('10 pctile LTV, borrowers = %9.2f %9.2f\n', [moment_model(12), moment_data(12)]); | |
| fprintf('25 pctile LTV, borrowers = %9.2f %9.2f\n', [moment_model(13), moment_data(13)]); | |
| fprintf('50 pctile LTV, borrowers = %9.2f %9.2f\n', [moment_model(14), moment_data(14)]); | |
| fprintf('75 pctile LTV, borrowers = %9.2f %9.2f\n', [moment_model(15), moment_data(15)]); | |
| fprintf('90 pctile LTV, borrowers = %9.2f %9.2f\n', [moment_model(16), moment_data(16)]); | |
| fprintf('\n') | |
| fprintf('10 Share Housing Wealth in Owner Wealth = %9.2f %9.2f\n', [moment_model(17), moment_data(17)]); | |
| fprintf('25 Share Housing Wealth in Owner Wealth = %9.2f %9.2f\n', [moment_model(18), moment_data(18)]); | |
| fprintf('50 Share Housing Wealth in Owner Wealth = %9.2f %9.2f\n', [moment_model(19), moment_data(19)]); | |
| fprintf('75 Share Housing Wealth in Owner Wealth = %9.2f %9.2f\n', [moment_model(20), moment_data(20)]); | |
| fprintf('90 Share Housing Wealth in Owner Wealth = %9.2f %9.2f\n', [moment_model(21), moment_data(21)]); | |
| fprintf('\n') | |
| fprintf('10 pctile Wealth = %9.2f %9.2f\n', [moment_model(22), moment_data(22)]); | |
| fprintf('25 pctile Wealth = %9.2f %9.2f\n', [moment_model(23), moment_data(23)]); | |
| fprintf('50 pctile Wealth = %9.2f %9.2f\n', [moment_model(24), moment_data(24)]); | |
| fprintf('75 pctile Wealth = %9.2f %9.2f\n', [moment_model(25), moment_data(25)]); | |
| fprintf('90 pctile Wealth = %9.2f %9.2f\n', [moment_model(26), moment_data(26)]); | |
| fprintf('\n') | |
| fprintf('10 pctile PTI = %9.2f %9.2f\n', [moment_model(27), moment_data(27)]); | |
| fprintf('25 pctile PTI = %9.2f %9.2f\n', [moment_model(28), moment_data(28)]); | |
| fprintf('50 pctile PTI = %9.2f %9.2f\n', [moment_model(29), moment_data(29)]); | |
| fprintf('75 pctile PTI = %9.2f %9.2f\n', [moment_model(30), moment_data(30)]); | |
| fprintf('90 pctile PTI = %9.2f %9.2f\n', [moment_model(31), moment_data(31)]); | |
| fprintf('\n') | |
| fprintf('10 pctile housing to income = %9.2f %9.2f\n', [moment_model(32), moment_data(32)]); | |
| fprintf('25 pctile housing to income = %9.2f %9.2f\n', [moment_model(33), moment_data(33)]); | |
| fprintf('50 pctile housing to income = %9.2f %9.2f\n', [moment_model(34), moment_data(34)]); | |
| fprintf('75 pctile housing to income = %9.2f %9.2f\n', [moment_model(35), moment_data(35)]); | |
| fprintf('90 pctile housing to income = %9.2f %9.2f\n', [moment_model(36), moment_data(36)]); | |
| fprintf('\n') | |
| fprintf('10 pctile mortgage age = %9.2f %9.2f\n', [moment_model(37), moment_data(37)]); | |
| fprintf('25 pctile mortgage age = %9.2f %9.2f\n', [moment_model(38), moment_data(38)]); | |
| fprintf('50 pctile mortgage age = %9.2f %9.2f\n', [moment_model(39), moment_data(39)]); | |
| fprintf('75 pctile mortgage age = %9.2f %9.2f\n', [moment_model(40), moment_data(40)]); | |
| fprintf('90 pctile mortgage age = %9.2f %9.2f\n', [moment_model(41), moment_data(41)]); | |
| % Calculate life time value | |
| T = size(C, 2); | |
| U = C.^(1 - p.sigma)/(1 - p.sigma) - p.phi^(1 + 1/p.gamma)/(1 + p.gamma)*C.^(-p.sigma*(1 + 1/p.gamma)); | |
| V = sum(p.beta.^(0 : 1 : T -1).*U, 2); | |
| V = ((1 - p.sigma)*(1 - p.beta)*mean(V))^(1/(1 - p.sigma)); | |
| fprintf('\n') | |
| fprintf('Life Time Value, CEV = %9.4f \n', V); | |
| % Compare characteristics of those who refinance and don't | |
| S = (1 - Th(:)).*p.hbar./W(:); | |
| R = R(:) == 1; | |
| fprintf('\n'); | |
| fprintf('Mean Liquid Assets = %9.2f %9.2f %9.2f \n', [mean(A(:)), mean(A(R)), mean(A(~R))]); | |
| fprintf('Mean Income = %9.2f %9.2f %9.2f \n', [mean(Y(:)), mean(Y(R)), mean(Y(~R))]); | |
| fprintf('Mean Liquid Asset to Income = %9.2f %9.2f %9.2f \n', [mean(A(:)./Y(:)), mean(A(R)./Y(R)), mean(A(~R)./Y(~R))]); | |
| fprintf('Mean Share Housing Wealth = %9.2f %9.2f %9.2f \n', [mean(S(:)), mean(S(R)), mean(S(~R))]); | |
| fprintf('Mean Wealth = %9.2f %9.2f %9.2f \n', [mean(W(:)), mean(W(R)), mean(W(~R))]); | |
| fprintf('Mean LTV = %9.2f %9.2f %9.2f \n', [mean(Th(:)), mean(Th(R)), mean(Th(~R))]); | |
| fprintf('Mean Age = %9.2f %9.2f %9.2f \n', [mean(Age(:)), mean(Age(R)), mean(Age(~R))]); | |
| fprintf('\n'); | |
| fprintf('\n'); | |