| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| - DIFFERENTIAL RESPONSES OF LABOR SUPPLY ACROSS PRODUCTIVITY GROUPS |
0 |
0 |
0 |
14 |
0 |
2 |
2 |
96 |
| - HETEROGENEITY IN CAPITAL AND SKILLS IN A NEOCLASSICAL STOCHASTIC GROWTH MODEL |
0 |
0 |
0 |
73 |
0 |
0 |
0 |
218 |
| A Cluster-Grid Projection Method: Solving Problems with High Dimensionality |
0 |
0 |
0 |
96 |
0 |
0 |
2 |
322 |
| A MODEL OF UNBALANCED SECTORIAL GROWTH WITH APPLICATION TO TRANSITION ECONOMIES |
0 |
0 |
0 |
126 |
0 |
0 |
1 |
475 |
| A NEOCLASSICAL THEORY OF WAGE ARREARS IN TRANSITION ECONOMIES |
0 |
0 |
2 |
31 |
0 |
0 |
2 |
211 |
| A Tractable Framework for Analyzing a Class of Nonstationary Markov Models |
0 |
0 |
0 |
48 |
0 |
0 |
4 |
169 |
| A Tractable Framework for Analyzing a Class of Nonstationary Markov Models |
0 |
0 |
0 |
42 |
0 |
0 |
1 |
164 |
| AN ANALYTICAL CONSTRUCTION OF CONSTANTINIDES¿ SOCIAL UTILITY FUNCTION |
0 |
0 |
1 |
123 |
0 |
1 |
2 |
732 |
| Assessing gains from parallel computation on supercomputers |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
42 |
| CAPITAL-SKILL COMPLEMENTARITY AND STEADY-STATE GROWTH |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
253 |
| DOWNWARD NOMINAL WAGE RIGIDITY: THE IMPLICATIONS FROM A NEW-KEYNESIAN MODEL |
0 |
0 |
1 |
121 |
0 |
1 |
3 |
422 |
| ENDOGENOUS GROWTH AND ENDOGENOUS BUSINESS CYCLES |
0 |
0 |
2 |
124 |
0 |
0 |
3 |
304 |
| Envelope Condition Method with an Application to Default Risk Models |
0 |
0 |
1 |
95 |
0 |
1 |
6 |
189 |
| Envelope Condition Method with an Application to Default Risk Models |
0 |
0 |
0 |
59 |
0 |
0 |
3 |
143 |
| Envelope condition method versus endogenous grid method for solving dynamic programming problems |
0 |
0 |
1 |
150 |
0 |
1 |
4 |
368 |
| HETEROGENEITY IN THE DEGREE OF QUASI-GEOMETRIC DISCOUNTING: THE DISTRIBUTIONAL IMPLICATIONS |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
176 |
| How to Solve Dynamic Stochastic Models Computing Expectations Just Once |
0 |
0 |
1 |
281 |
0 |
0 |
5 |
437 |
| INCOME AND WEALTH DISTRIBUTIONS ALONG THE BUSINESS CYCLE: IMPLICATIONS FROM THE NEOCLASSICAL GROWTH MODEL |
0 |
0 |
0 |
84 |
0 |
0 |
0 |
241 |
| INDETERMINACY IN A LOG-LINEARIZED NEOCLASSICAL ROWTH MODEL WITH QUASI-GEOMETRIC DISCOUNTING |
0 |
0 |
0 |
44 |
0 |
0 |
9 |
203 |
| INDIVISIBLE LABOR, LOTTERIES AND IDIOSYNCRATIC PRODUCTIVITY SHOCKS |
0 |
1 |
2 |
138 |
0 |
1 |
2 |
565 |
| Lower Bounds on Approximation Errors: Testing the Hypothesis That a Numerical Solution Is Accurate? |
0 |
0 |
0 |
55 |
0 |
0 |
4 |
161 |
| Merging Simulation and Projection Approaches to Solve High-Dimensional Problems |
0 |
0 |
1 |
156 |
1 |
2 |
4 |
329 |
| Merging simulation and projection approaches to solve high-dimensional problems |
0 |
0 |
0 |
41 |
0 |
0 |
1 |
148 |
| Numerically Stable Stochastic Simulation Approaches for Solving Dynamic Economic Models |
0 |
0 |
0 |
175 |
0 |
0 |
1 |
460 |
| Numerically Stable Stochastic Simulation Approaches for Solving Dynamic Economic Models |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
107 |
| Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models |
0 |
0 |
1 |
245 |
0 |
1 |
4 |
363 |
| One-node Quadrature Beats Monte Carlo: A Generalized Stochastic Simulation Algorithm |
0 |
0 |
0 |
102 |
0 |
0 |
1 |
243 |
| PARAMETERIZED EXPECTATIONS ALGORITHM: HOW TO SOLVE FOR LABOR EASILY |
0 |
0 |
0 |
122 |
0 |
0 |
0 |
337 |
| PARAMETRIZED EXPECTATIONS ALGORITHM AND THE MOVING BOUNDS |
0 |
0 |
0 |
62 |
0 |
0 |
0 |
147 |
| PREFERENCE SHOCKS FROM AGGREGATION: TIME SERIES DATA EVIDENCE |
0 |
0 |
0 |
89 |
0 |
0 |
0 |
272 |
| QUASI-GEOMETRIC CONSUMERS: PANEL DATA EVIDENCE |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
115 |
| QUASI-GEOMETRIC DISCOUNTING: A CLOSED-FORM SOLUTION UNDER THE EXPONENTIAL UTILITY FUNCTION |
0 |
0 |
0 |
61 |
0 |
0 |
2 |
317 |
| QUASI-LINEAR PREFERENCES IN THE MACROECONOMY: INDETERMINACY, HETEROGENEITY ANDTHE REPRESENTATIVE CONSUMER |
0 |
0 |
0 |
100 |
0 |
0 |
0 |
1,391 |
| RICH, POOR AND GROWTH-MIRACLE NATIONS: MULTIPLE EQUILIBRIA REVISITED |
0 |
0 |
0 |
110 |
0 |
0 |
1 |
360 |
| SOLVING NONLINEAR DYNAMIC STOCHASTIC MODELS: AN ALGORITHM COMPUTING VALUE FUNCTIONS BY SIMULATIONS |
0 |
0 |
0 |
220 |
0 |
0 |
1 |
475 |
| SOLVING THE NEOCLASSICAL GROWTH MODEL WITH QUASI-GEOMETRIC DISCOUNTING: NON-LINEAR EULER-EQUATION MODELS |
0 |
0 |
1 |
61 |
0 |
0 |
3 |
220 |
| SOVEREIGN RISK, FDI SPILLOVERS, AND ECONOMIC GROWTH |
0 |
0 |
0 |
163 |
0 |
0 |
4 |
559 |
| Smolyak Method for Solving Dynamic Economic Models: Lagrange Interpolation, Anisotropic Grid and Adaptive Domain |
0 |
0 |
0 |
86 |
1 |
2 |
3 |
308 |
| Smolyak Method for Solving Dynamic Economic Models: Lagrange Interpolation, Anisotropic Grid and Adaptive Domain |
0 |
0 |
0 |
54 |
0 |
0 |
0 |
322 |
| Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
194 |
| Solving the Multi-Country Real Business Cycle Model Using Ergodic Set Methods |
0 |
0 |
0 |
71 |
0 |
0 |
1 |
224 |
| Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm |
0 |
0 |
3 |
251 |
0 |
1 |
5 |
560 |
| Solving the multi-country real business cycle model using ergodic set methods |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
141 |
| THE EU EASTERN ENLARGEMENT AND FDI: THE IMPLICATIONS FROM A NEOCLASSICAL GROWTH MODEL |
0 |
0 |
0 |
285 |
0 |
0 |
1 |
812 |
| THE NEOCLASSICAL GROWTH MODEL WITH HETEROGENOUS QUASI-GEOMETRIC CONSUMERS |
0 |
0 |
1 |
37 |
0 |
0 |
2 |
179 |
| THE REPRESENTATIVE CONSUMER IN THE NEOCLASSICAL GROWTH MODEL WITH IDIOSYNCRATIC SHOCKS |
0 |
0 |
0 |
62 |
0 |
0 |
1 |
206 |
| Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions |
0 |
0 |
1 |
65 |
0 |
0 |
2 |
198 |
| Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
49 |
| Total Working Papers |
0 |
1 |
19 |
4,591 |
2 |
13 |
92 |
14,927 |
LogEc is hosted by the
Örebro University School of Business.