| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Forecast Comparison of Financial Volatility Models: GARCH (1,1) is not Enough |
0 |
0 |
0 |
44 |
1 |
1 |
1 |
180 |
| A Range-Based GARCH Model for Forecasting Volatility |
0 |
4 |
8 |
115 |
1 |
11 |
18 |
361 |
| An Early Warning System for Inflation in the Philippines Using Markov-Switching and Logistic Regression Models |
2 |
4 |
5 |
79 |
3 |
6 |
12 |
213 |
| Analyzing and Forecasting Movements of the Philippine Economy using the Dynamic Factor Models (DFM) |
2 |
4 |
6 |
68 |
4 |
7 |
12 |
163 |
| Awards and Rewards: Evidence from an Evaluation of the Metrobank's Search for Outstanding Teachers |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
191 |
| Bayesian Averaging of Classical Estimates in Asymmetric Vector Autoregressive (AVAR) Models |
0 |
3 |
4 |
92 |
5 |
10 |
13 |
208 |
| Determinants of Poverty in Elderly-Headed Households in the Philippines |
0 |
0 |
0 |
124 |
1 |
1 |
3 |
517 |
| Estimating Inflation-at-Risk (IaR) using Extreme Value Theory (EVT) |
0 |
0 |
0 |
83 |
1 |
3 |
4 |
256 |
| Estimating Value-at-Risk (VaR) using TiVEx-POT Models |
0 |
0 |
2 |
88 |
0 |
2 |
12 |
286 |
| Filipino 2040 Energy: Power Security and Competitiveness |
1 |
2 |
3 |
31 |
1 |
2 |
4 |
126 |
| Forecasting Time-Varying Correlation using the Dynamic Conditional Correlation (DCC) Model |
0 |
0 |
0 |
96 |
0 |
0 |
3 |
218 |
| Household Coping and Recovery from Nature’s Wrath: Rising from the Ruins of Yolanda |
0 |
0 |
0 |
85 |
0 |
2 |
5 |
285 |
| Hunger Incidence in the Philippines: Facts, Determinants and Challenges |
0 |
0 |
1 |
57 |
1 |
3 |
12 |
299 |
| Hunger Incidence in the Philippines: Facts, Determinants and Challenges |
0 |
0 |
1 |
195 |
2 |
3 |
9 |
2,096 |
| Investigating the Presence of Regional Economic Growth Convergence in the Philippines using Kalman Filter |
0 |
1 |
1 |
52 |
1 |
3 |
6 |
204 |
| Is Income Growth Enough to Reduce Total Fertility Rate in the Philippines? Empirical Evidence from Regional Panel Data |
1 |
1 |
5 |
134 |
1 |
2 |
12 |
694 |
| Measuring market risk using extreme value theory |
0 |
0 |
0 |
156 |
0 |
0 |
2 |
526 |
| Measuring the Common Component of Stock Market Fluctuations in the Asia-Pacific Region |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
124 |
| Overcoming Critical Constraints to Sustaining Productivity Growth in Key Commodities of Asia and the Pacific |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
62 |
| Population Dynamics and Household Saving: Evidence from the Philippines |
0 |
0 |
0 |
113 |
1 |
2 |
7 |
523 |
| Population Management should be mainstreamed in the Philippine Development Agenda |
0 |
0 |
0 |
71 |
2 |
2 |
2 |
312 |
| Range-Based Models in Estimating Value-at-Risk (VaR) |
0 |
0 |
1 |
61 |
0 |
0 |
2 |
238 |
| Rice Price, Job Misery, Hunger Incidence: Need to Track Few More Statistical Indicators for the Poor |
0 |
0 |
1 |
33 |
2 |
3 |
5 |
102 |
| Robustness Procedures in Economic Growth Regression Models |
0 |
0 |
0 |
76 |
0 |
0 |
0 |
257 |
| Sectoral Growth Linkages and the Role of Infrastructure Development: Revisiting the sources of nonfarm development in the rural Philippines |
0 |
0 |
0 |
87 |
2 |
2 |
2 |
198 |
| Spatial Analysis of Income Growth in the Philippines: Evidence from Intra-Country Data (1988 to 2009) |
0 |
0 |
0 |
59 |
0 |
0 |
3 |
117 |
| The Dynamics of Inflation and GDP Growth: A Mixed Frequency Model Approach |
0 |
0 |
0 |
75 |
0 |
0 |
3 |
149 |
| The Economic Transition and Growth of Philippine Regions |
0 |
0 |
0 |
55 |
0 |
1 |
1 |
261 |
| The Link between Agricultural Output and the States of Poverty in the Philippines: Evidence from Self-Rated Poverty Data |
0 |
0 |
0 |
39 |
0 |
1 |
1 |
125 |
| The Link between Extreme Poverty and Young Dependents in the Philippines:Evidence from Household Surveys |
0 |
0 |
0 |
49 |
0 |
1 |
2 |
217 |
| The Philippine Economy and Poverty During the Global Economic Crisis |
0 |
0 |
6 |
245 |
2 |
3 |
42 |
1,601 |
| Time Series Analysis using Vector Auto Regressive (VAR) Model of Wind Speeds in Bangui Bay and Selected Weather Variables in Laoag City, Philippines |
0 |
0 |
0 |
48 |
0 |
2 |
4 |
137 |
| Time-varying conditional Johnson SU density in value-at-risk (VaR) methodology |
0 |
0 |
1 |
79 |
1 |
1 |
4 |
257 |
| What really matters for income growth in the Philippines: Empirical evidence from provincial data |
0 |
0 |
1 |
150 |
1 |
2 |
4 |
461 |
| Total Working Papers |
6 |
19 |
46 |
2,837 |
33 |
76 |
211 |
11,964 |
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