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Abstract Views |
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3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A CONTINUOUS TIME APPROXIMATION TO THE UNSTABLE FIRST- ORDER AUTOREGRESSIVE PROCESS: THE CASE WITHOUT AN INTERCEPT |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
383 |
| A Comparison of Alternative Asymptotic Frameworks to Analyze a Structural Change in a Linear Time Trend |
0 |
0 |
0 |
129 |
0 |
1 |
2 |
422 |
| A Comparison of Alternative Methods to Construct Confidence Intervals for the Estimate of a Break Date in Linear Regression Models |
0 |
0 |
0 |
3 |
1 |
1 |
9 |
57 |
| A Comparison of Alternative Methods to Construct to Confidence Intervals for the Estimate of a Break Date in Linear Regression Models |
0 |
0 |
1 |
3 |
0 |
0 |
8 |
47 |
| A Modified Information Criterion for Cointegration Tests based on a VAR Approximation |
0 |
0 |
0 |
205 |
1 |
1 |
5 |
564 |
| A Non-local Perspective on the Power Properties of the CUSUM and CUSUM of Squares Tests for Structural Change |
0 |
0 |
0 |
72 |
1 |
1 |
5 |
236 |
| A Non-local Perspective on the Power Properties of the CUSUM and CUSUM of Squares Tests for Structural Change* |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
169 |
| A Note on Estimating and Testing for Multiple Structural Changes in Models with Endogenous Regressors via 2SLS |
0 |
0 |
0 |
12 |
0 |
0 |
5 |
96 |
| A Note on the Selection of Time Series Models |
0 |
0 |
1 |
1,101 |
0 |
0 |
4 |
2,331 |
| A Sequential Procedure to Determine the Number of Breaks in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
75 |
1 |
2 |
19 |
190 |
| A Sequential Procedure to Determine the Number of Breaks in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
267 |
3 |
5 |
20 |
710 |
| A Simple Modification to Improve the Finite Sample Properties of Ng and Perron’s Unit Root Tests |
0 |
0 |
0 |
168 |
0 |
0 |
1 |
446 |
| A Stochastic Volatility Model with Random Level Shifts: Theory and Applications to S&P 500 and NASDAQ Return Indices |
0 |
0 |
0 |
102 |
0 |
1 |
3 |
185 |
| A Test for Changes in a Polynomial Trend Functions for a Dynamioc Time Series |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
774 |
| A Two Step Procedure for Testing Partial Parameter Stability in Cointegrated Regression Models |
0 |
2 |
2 |
29 |
0 |
2 |
9 |
54 |
| A time-series analysis of the 20th century climate simulations produced for the IPCC’s AR4 |
0 |
0 |
0 |
12 |
5 |
10 |
28 |
145 |
| AN ANLYSIS OF THE REAL INTEREST RATE UNDER REGIME SHIFTS |
0 |
0 |
0 |
1 |
0 |
2 |
4 |
815 |
| Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time |
0 |
1 |
3 |
198 |
0 |
1 |
7 |
473 |
| Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time |
0 |
0 |
0 |
1 |
0 |
3 |
6 |
625 |
| An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data |
0 |
0 |
0 |
29 |
1 |
4 |
11 |
159 |
| An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data |
0 |
0 |
0 |
247 |
1 |
2 |
7 |
803 |
| An Analysis of the Real Interest Rate Under Regime Shifts |
0 |
0 |
2 |
855 |
2 |
2 |
15 |
3,425 |
| An Analysis of the Real Interest rate Under Regime Shifts |
0 |
0 |
0 |
103 |
2 |
5 |
22 |
490 |
| An Analysis of the Real Interest rate Under Regime Shifts |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
931 |
| An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts |
0 |
0 |
0 |
27 |
0 |
0 |
2 |
124 |
| An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts and its Implications for Stock Returns Volatility* |
0 |
0 |
0 |
94 |
0 |
0 |
3 |
217 |
| An Autoregressive Spectral Density Estimator at Frequency Zero for Nonstationarity Tests |
0 |
0 |
0 |
76 |
1 |
1 |
2 |
362 |
| An Autoregressive Spectral Density Estimator at Frequency Zero for Nonstationarity Tests |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1,242 |
| An analysis of Real Interest Rate Under Regime Shifts |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
220 |
| An analysis of Real Interest Rate Under Regime Shifts |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
98 |
| Approximations to Some Exact Distributions in the First Order Autogressive Model with Dependent Errors |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
156 |
| Approximations to Some Exact Distributions in the First Order Autogressive Model with Dependent Errors |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
76 |
| Assessing the Relative Power of Structural Break Tests Using a Framework Based on the Approximate Bahadur Slope |
0 |
0 |
0 |
28 |
0 |
0 |
3 |
127 |
| Asymptotic Approximations in the Near-Integrated Model with a Non-Zero Initial Condition |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
213 |
| Bootstrap Procedures for Detecting Multiple Persistence Shifts in Heteroskedastic Time Series |
0 |
0 |
0 |
21 |
0 |
0 |
1 |
27 |
| Breaks, trends and the attribution of climate change: a time-series analysis |
0 |
0 |
0 |
139 |
1 |
6 |
27 |
366 |
| Change-Point Analysis of Time Series with Evolutionary Spectra |
0 |
0 |
1 |
24 |
0 |
0 |
6 |
25 |
| Characterizing and attributing the warming trend in sea and land surface temperatures |
0 |
0 |
2 |
26 |
1 |
1 |
6 |
63 |
| Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
48 |
| Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
1 |
86 |
0 |
0 |
3 |
211 |
| Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
0 |
10 |
1 |
1 |
6 |
106 |
| Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
0 |
67 |
0 |
0 |
2 |
60 |
| Comparisons of Robust Tests for Shifts in Trend with an Application to Trend Deviations of Real Exchange Rates in the Long Run |
0 |
0 |
0 |
14 |
4 |
7 |
26 |
127 |
| Computation and Analysis of Multiple Structural-Change Models |
0 |
5 |
7 |
2,508 |
1 |
16 |
40 |
5,263 |
| Continuous Record Asymptotics for Change-Point Models |
0 |
0 |
0 |
20 |
0 |
0 |
6 |
26 |
| Continuous Record Asymptotics for Change-Points Models |
0 |
0 |
0 |
25 |
0 |
1 |
4 |
52 |
| Continuous Record Laplace-based Inference about the Break Date in Structural Change Models |
0 |
0 |
0 |
12 |
0 |
0 |
2 |
38 |
| Continuous Record Laplace-based Inference about the Break Date in Structural Change Models |
0 |
0 |
1 |
2 |
0 |
0 |
3 |
18 |
| Data Dependent Rules for the Selection of the Number of Leads and Lags in the Dynamic OLS Cointegrating Regression |
0 |
0 |
0 |
77 |
0 |
0 |
5 |
283 |
| Data Dependent Rules for the Selection of the Number of Leads and Lags in the Dynamic OLS Cointegrating Regression* |
0 |
0 |
0 |
103 |
0 |
1 |
8 |
262 |
| Dealing with Structural Breaks |
0 |
0 |
0 |
723 |
2 |
12 |
47 |
1,912 |
| Detection and attribution of climate change through econometric methods |
0 |
0 |
1 |
24 |
0 |
0 |
6 |
41 |
| Does Gnp Have a Unit Root? a Reevaluation |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
318 |
| Estimating & Testing Linear Models with Multiple Structural Changes |
0 |
0 |
0 |
0 |
2 |
2 |
5 |
1,053 |
| Estimating Deterministic Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
77 |
1 |
1 |
5 |
213 |
| Estimating Deterministic Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
12 |
1 |
2 |
4 |
110 |
| Estimating Deterministric Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
68 |
0 |
1 |
7 |
292 |
| Estimating and Testing Linear Models with Multiple Structural Changes |
0 |
2 |
11 |
737 |
2 |
8 |
32 |
1,896 |
| Estimating and Testing Linear Models with Multiple Structural Changes |
0 |
0 |
0 |
10 |
1 |
3 |
30 |
1,945 |
| Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions |
0 |
0 |
0 |
19 |
1 |
1 |
8 |
172 |
| Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions |
0 |
0 |
0 |
43 |
0 |
0 |
3 |
161 |
| Estimating and Testing Multiple Structural Changes in Models with Endogenous Regressors |
0 |
0 |
0 |
115 |
0 |
0 |
9 |
338 |
| Estimating and testing structural changes in multivariate regressions |
0 |
0 |
0 |
231 |
0 |
2 |
11 |
580 |
| Estimation and Inference in Nearly Unbalanced, Nearly Cointegrated Systems |
0 |
0 |
0 |
40 |
1 |
1 |
4 |
157 |
| Estimation and Inference in Nearly Unbalanced, Nearly Cointegrated Systems |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
226 |
| Extracting and analyzing the warming trend in global and hemispheric temperatures |
0 |
0 |
0 |
19 |
2 |
2 |
23 |
67 |
| FURTHER EVIDENCE ON BREAKING TREND FUNCTIONS IN MACROECONOMICS VARIABLES |
0 |
0 |
0 |
4 |
0 |
1 |
5 |
1,081 |
| Forecasting Return Volatility: Level Shifts with Varying Jump Probability and Mean Reversion |
0 |
1 |
1 |
5 |
0 |
1 |
4 |
35 |
| Forecasting in the presence of in and out of sample breaks |
0 |
0 |
0 |
60 |
1 |
1 |
3 |
51 |
| Forecasting in the presence of in and out of sample breaks |
0 |
0 |
1 |
3 |
0 |
0 |
7 |
45 |
| Further Evidence on Breaking Trend Functions in Macroeconomic Variables |
1 |
3 |
5 |
250 |
2 |
4 |
11 |
725 |
| Further Evidence on Breaking Trend Functions in Macroeconomic Variables |
0 |
0 |
0 |
7 |
0 |
1 |
4 |
1,186 |
| GLS Detrending, Efficient Unit Root Tests and Structural Change |
0 |
0 |
2 |
609 |
1 |
1 |
7 |
1,347 |
| GLS-based unit root tests with multiple structural breaks both under the null and the alternative hypotheses |
0 |
0 |
0 |
141 |
3 |
3 |
68 |
533 |
| Generalized Laplace Inference in Multiple Change-Points Models |
0 |
0 |
1 |
29 |
0 |
1 |
6 |
86 |
| Generalized Laplace Inference in Multiple Change-Points Models |
0 |
0 |
0 |
3 |
0 |
0 |
6 |
36 |
| Improved Tests for Forecast Comparisons in the Presence of Instabilities |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
38 |
| Improved Tests for Forecast Comparisons in the Presence of Instabilities |
0 |
0 |
0 |
42 |
0 |
0 |
4 |
41 |
| Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures |
0 |
0 |
0 |
15 |
0 |
0 |
4 |
38 |
| Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures |
0 |
0 |
0 |
2 |
2 |
5 |
25 |
70 |
| Inference Related to Locally Ordered and Common Breaks in a Multivariate System with Joined Segmented Trends |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
19 |
| Inference on Locally Ordered Breaks in Multiple Regressions |
0 |
0 |
1 |
3 |
1 |
1 |
7 |
59 |
| Inference on a Structural Break in Trend with Fractionally Integrated Errors |
0 |
0 |
0 |
4 |
1 |
3 |
18 |
56 |
| Inference on a Structural Break in Trend with Fractionally Integrated Errors |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
30 |
| Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power |
0 |
0 |
3 |
1,956 |
1 |
2 |
11 |
6,020 |
| Let’s Take a Break: Trends and Cycles in US Real GDP |
0 |
0 |
0 |
87 |
5 |
9 |
46 |
462 |
| Let’s Take a Break: Trends and Cycles in US Real GDP? |
0 |
0 |
0 |
222 |
0 |
1 |
10 |
905 |
| Level Shifts and Purchasing Power Parity |
0 |
0 |
1 |
323 |
0 |
1 |
3 |
898 |
| Local Asymtotic Distributions Related to the AR(1) MOdel with Dependent Errors |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
485 |
| Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices |
0 |
0 |
0 |
115 |
0 |
1 |
5 |
282 |
| Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data |
1 |
1 |
1 |
13 |
2 |
5 |
22 |
78 |
| Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data |
0 |
0 |
0 |
63 |
0 |
2 |
3 |
48 |
| Memory Parameter Estimation in the Presence of Level Shifts and Deterministic Trends |
0 |
0 |
0 |
7 |
1 |
1 |
3 |
77 |
| Memory Parameter Estimation in the Presence of Level Shifts and Deterministic Trends |
0 |
0 |
0 |
59 |
1 |
1 |
6 |
88 |
| Methodology in Economics: the Logic of Appraisal |
0 |
0 |
1 |
67 |
0 |
0 |
2 |
247 |
| Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model |
0 |
0 |
0 |
78 |
0 |
0 |
5 |
205 |
| Nonstationary and Level Shifts With An Application To Purchasing Power Parity |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
1,051 |
| On the Irrelevance of Impossibility Theorems: The Case of the Long-run Variance |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
59 |
| On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
4 |
0 |
1 |
4 |
29 |
| On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
14 |
1 |
1 |
5 |
95 |
| On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
42 |
1 |
1 |
6 |
148 |
| PPP May not Hold After all: A Further Investigation |
0 |
0 |
0 |
278 |
0 |
0 |
5 |
931 |
| PPP May not Hold Afterall: A Further Investigation |
0 |
0 |
0 |
17 |
1 |
5 |
26 |
302 |
| Pitfalls and Opportunities: What Macroeconomics should know about unit roots |
0 |
0 |
0 |
3 |
2 |
6 |
35 |
1,624 |
| Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots |
0 |
1 |
4 |
2,902 |
5 |
8 |
41 |
6,120 |
| Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots |
0 |
0 |
0 |
35 |
2 |
6 |
28 |
281 |
| Pitfalls of Two Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
47 |
| Prewhitened Long-Run Variance Estimation Robust to Nonstationarity |
0 |
0 |
2 |
19 |
1 |
1 |
9 |
17 |
| Residual Based Tests for Cointegration with GLS Detrended Data |
0 |
0 |
0 |
2 |
0 |
0 |
6 |
764 |
| Residual test for cointegration with GLS detrended data |
0 |
0 |
2 |
180 |
1 |
1 |
9 |
435 |
| Residuals-based Tests for Cointegration with GLS Detrended Data |
0 |
0 |
4 |
37 |
1 |
1 |
9 |
77 |
| Robust testing of time trend and mean with unknown integration order errors Frequency (and Other) Contaminations |
0 |
1 |
2 |
10 |
3 |
9 |
31 |
73 |
| Sampling Interval and Estimated Betas: Implications for the Presence of Transitory Components in Stock Prices |
0 |
0 |
0 |
7 |
1 |
1 |
6 |
85 |
| Sampling Interval and estimated Betas: Implications for the Presence of Transitory Components in Stock Prices |
0 |
0 |
0 |
55 |
1 |
1 |
7 |
386 |
| Seraching for Additive Outliers in Nonstationary Time Series |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
933 |
| Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings |
0 |
0 |
2 |
17 |
0 |
0 |
11 |
28 |
| Single-equation tests for Cointegration with GLS Detrended Data |
0 |
0 |
0 |
10 |
10 |
16 |
41 |
95 |
| State Space Model with Mixtures of Normals: Specifications and Applications to International Data |
0 |
0 |
0 |
31 |
1 |
7 |
29 |
209 |
| Statistical evidence about human influence on the climate system |
0 |
0 |
0 |
106 |
0 |
0 |
5 |
365 |
| Statistically-derived contributions of diverse human influences to 20th century temperature changes |
0 |
0 |
1 |
9 |
2 |
3 |
48 |
104 |
| Structural Breaks in Time Series |
0 |
0 |
3 |
173 |
0 |
3 |
24 |
163 |
| Structural Breaks in Time Series |
1 |
4 |
21 |
131 |
3 |
9 |
71 |
358 |
| TEST CONSISTENCY WITH VARYING SAMPLING FREQUENCY |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
511 |
| TESTING FOR A RANDOM WALK: A SIMULATION EXPERIMENT OF POWER WHEN THE SIMPLING INTERVAL IS VARIED |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
708 |
| TESTING FOR A UNIT ROOT IN A TIME SERIES WITH A CHANGING MEAN |
0 |
0 |
0 |
12 |
1 |
2 |
6 |
1,320 |
| THE ADEQUACY OF LIMITING DISTRIBUTIONS IN THE AR(1) MODEL WITH DEPENDENT ERRORS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
163 |
| THE EFFECT OF SEASONAL ADJUSTMENT FILTERS ON TEST FOR UNIT ROOT |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
252 |
| THE EFFECT OF SEASONAL ADJUSTMENT FILTERS ON TESTS FOR A UNIT ROOT |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
447 |
| THE GREAT CRASH, THE OIL PRICE SHOCK AND THE UNIT ROOT HYPOTHESIS |
0 |
0 |
0 |
6 |
2 |
5 |
26 |
2,728 |
| THE LIMITING DISTRIBUTION OF THE LEAST SQUARES ESTIMATOR IN NEARLY INTEGRATED SEASONAL MODELS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
217 |
| Temporal Aggregation, Bandwidth Selection and Long Memory for Volatility Models |
0 |
0 |
0 |
5 |
0 |
0 |
4 |
50 |
| Test Consistency with Varying Sampling Frequency |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
326 |
| Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model |
0 |
0 |
0 |
67 |
1 |
1 |
8 |
238 |
| Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model |
0 |
0 |
2 |
42 |
2 |
3 |
19 |
80 |
| Testing for Breaks in Coefficients and Error Variance: Simulations and Applications |
0 |
0 |
0 |
64 |
1 |
1 |
2 |
185 |
| Testing for Changes in Forecasting Performance |
0 |
0 |
0 |
69 |
0 |
1 |
9 |
74 |
| Testing for Changes in Forecasting Performance |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
32 |
| Testing for Changes in Forecasting Performance |
0 |
0 |
0 |
36 |
1 |
1 |
7 |
58 |
| Testing for Common Breaks in a Multiple Equations System |
0 |
0 |
0 |
17 |
1 |
2 |
19 |
154 |
| Testing for Common Breaks in a Multiple Equations System |
0 |
0 |
1 |
20 |
1 |
1 |
5 |
44 |
| Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
18 |
1 |
1 |
10 |
52 |
| Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
72 |
1 |
3 |
13 |
166 |
| Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
1 |
5 |
498 |
1 |
3 |
13 |
1,131 |
| Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
0 |
0 |
31 |
0 |
1 |
2 |
141 |
| Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
0 |
0 |
54 |
0 |
0 |
5 |
183 |
| Testing for Shifts in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
114 |
0 |
0 |
4 |
378 |
| Testing for Shifts in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
188 |
4 |
4 |
20 |
515 |
| Testing for Trend in the Presence of Autoregressive Error: A Comment |
0 |
0 |
0 |
61 |
0 |
0 |
4 |
152 |
| Testing for Trend in the Presence of Autoregressive Error: A Comment |
0 |
0 |
0 |
5 |
1 |
1 |
5 |
58 |
| Testing for a Unit Root in Time Series Regression |
1 |
1 |
4 |
3,038 |
2 |
11 |
53 |
7,667 |
| Testing for common breaks in a multiple equations system |
0 |
0 |
1 |
16 |
1 |
4 |
13 |
60 |
| Testing jointly for structural changes in the error variance and coe¢ cients of a linear regression model |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
26 |
| Testing the Random Walk Hypothesis: Power Versus Frequency of Observation |
0 |
0 |
3 |
998 |
1 |
1 |
12 |
3,414 |
| Testing the Random Walk Hypothesis: Power versus Frequency of Observation |
0 |
0 |
9 |
640 |
1 |
2 |
22 |
2,696 |
| Tests of Joint Hypotheses for Time Series Regression with a Unit Root |
0 |
0 |
1 |
68 |
1 |
4 |
22 |
304 |
| The Adequacy of Asymptotic Approximations in the Near- Integrated Autoregressive Model with Dependent Errors |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
121 |
| The Adequacy of Asymptotic Approximations in the Near-Integrated Autoregressive Model with Dependent Errors |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
51 |
| The Calculation of the Limiting Distribution of the Least Squares Estimator in Near-Integrated Model |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
152 |
| The Effect of Linear Filters on Dynamic Time series with Structural Change |
0 |
0 |
0 |
0 |
2 |
3 |
10 |
320 |
| The Effect of Linear Filters on Dynamic Time series with Structural Change |
0 |
0 |
0 |
38 |
1 |
8 |
34 |
196 |
| The Effect of Seasonal Adjustment Filters on Test for Unit Root |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
101 |
| The Exact Error in Estimating the Special Density at the Origin |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
83 |
| The Exact Error in Estimating the Special Density at the Origin |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
334 |
| The FCLT with Dependent Errors: an Helicopter Tour of the Quality of the Approximation |
0 |
0 |
0 |
32 |
0 |
0 |
0 |
215 |
| The Great Crash, the Oil Prices and the Unit Root Hypothesis |
0 |
0 |
0 |
1 |
0 |
1 |
6 |
441 |
| The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence |
0 |
0 |
1 |
31 |
0 |
0 |
7 |
57 |
| The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence |
0 |
0 |
1 |
4 |
1 |
7 |
18 |
46 |
| The Limit Distribution of the CUSUM of Square Test Under Genreal MIxing Conditions* |
0 |
0 |
0 |
163 |
0 |
0 |
3 |
625 |
| The Limit Distribution of the CUSUM of Squares Test Under General Mixing Conditions |
0 |
0 |
0 |
16 |
0 |
0 |
2 |
94 |
| The Limit Distribution of the Estimates in Cointegrated Regression Models with Multiple Structural Changes |
0 |
0 |
0 |
35 |
1 |
1 |
5 |
111 |
| Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference |
0 |
0 |
0 |
15 |
0 |
0 |
2 |
7 |
| Trend and Cycles: A New Approach and Explanations of Some Old Puzzles |
0 |
0 |
3 |
319 |
2 |
4 |
32 |
1,046 |
| Trends and Random Walks in Macroeconomic Time Series: Further Evidence From a New Approach |
0 |
0 |
0 |
3 |
0 |
0 |
12 |
2,244 |
| Trigonometric Trend Regressions of Unknown Frequencies with Stationary or Integrated Noise |
0 |
0 |
4 |
38 |
0 |
0 |
10 |
51 |
| Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag |
0 |
0 |
1 |
257 |
0 |
0 |
7 |
680 |
| Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag |
0 |
0 |
0 |
1 |
1 |
2 |
14 |
1,005 |
| Unit Root Tests Allowing for a Break in the Trend Function at an Unknown Time Under Both the Null and Alternative Hypotheses |
0 |
0 |
0 |
76 |
1 |
3 |
10 |
333 |
| Unit roots in the presence of abrupt governmental interventions with an application to Brazilian to Brazilian data |
0 |
0 |
0 |
48 |
0 |
0 |
0 |
142 |
| Useful Modifications to Some Unit Root Tests with Dependent Errors and Their Local Asymptotic Properties |
0 |
0 |
0 |
1 |
0 |
0 |
6 |
344 |
| Useful Modifications to Some Unit Root Tests with Dependent Errors and Their Local Asymptotic Properties |
0 |
0 |
1 |
68 |
0 |
0 |
6 |
279 |
| Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors |
0 |
0 |
0 |
26 |
0 |
1 |
7 |
149 |
| Wald Tests for Detecting Multiple Structural Changes in Persistence |
0 |
0 |
1 |
208 |
1 |
1 |
5 |
427 |
| Total Working Papers |
4 |
23 |
129 |
25,026 |
134 |
325 |
1,852 |
98,055 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Continuous Time Approximation to the Stationary First-Order Autoregressive Model |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
39 |
| A Continuous Time Approximation to the Unstable First-Order Autoregressive Process: The Case without an Intercept |
0 |
1 |
2 |
125 |
0 |
1 |
5 |
586 |
| A MODIFIED INFORMATION CRITERION FOR COINTEGRATION TESTS BASED ON A VAR APPROXIMATION |
0 |
0 |
0 |
51 |
0 |
0 |
0 |
212 |
| A NOTE ON ESTIMATING AND TESTING FOR MULTIPLE STRUCTURAL CHANGES IN MODELS WITH ENDOGENOUS REGRESSORS VIA 2SLS |
0 |
0 |
0 |
28 |
1 |
2 |
6 |
114 |
| A Note on Johansen's Cointegration Procedure When Trends Are Present |
0 |
0 |
0 |
0 |
2 |
3 |
12 |
2,571 |
| A Note on the Asymptotic Distributions of Unit Root Tests in the Additive Outlier Model With Breaks |
2 |
4 |
4 |
20 |
2 |
6 |
13 |
60 |
| A Note on the Selection of Time Series Models |
0 |
0 |
2 |
248 |
0 |
1 |
5 |
620 |
| A Time-Series Analysis of the 20th Century Climate Simulations Produced for the IPCC’s Fourth Assessment Report |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
| A comparison of alternative asymptotic frameworks to analyse a structural change in a linear time trend |
0 |
0 |
0 |
32 |
2 |
8 |
20 |
429 |
| A comparison of alternative methods to construct confidence intervals for the estimate of a break date in linear regression models |
0 |
0 |
1 |
5 |
1 |
1 |
7 |
43 |
| A look at the quality of the approximation of the functional central limit theorem |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
63 |
| A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change |
0 |
0 |
1 |
61 |
1 |
1 |
7 |
237 |
| A note on estimating a structural change in persistence |
0 |
0 |
0 |
16 |
1 |
2 |
2 |
90 |
| A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise component |
0 |
0 |
0 |
62 |
0 |
1 |
7 |
186 |
| A simple modification to improve the finite sample properties of Ng and Perron's unit root tests |
1 |
2 |
6 |
126 |
2 |
3 |
10 |
349 |
| A stochastic volatility model with random level shifts and its applications to S&P 500 and NASDAQ return indices |
0 |
1 |
2 |
18 |
0 |
1 |
2 |
61 |
| A two‐step procedure for testing partial parameter stability in cointegrated regression models |
1 |
1 |
2 |
2 |
1 |
7 |
9 |
9 |
| AN AUTOREGRESSIVE SPECTRAL DENSITY ESTIMATOR AT FREQUENCY ZERO FOR NONSTATIONARITY TESTS |
0 |
0 |
0 |
81 |
0 |
0 |
1 |
201 |
| Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time |
0 |
0 |
0 |
1 |
0 |
2 |
20 |
1,101 |
| An Analysis of the Real Interest Rate under Regime Shifts |
0 |
1 |
14 |
785 |
9 |
15 |
63 |
1,896 |
| Assessing the relative power of structural break tests using a framework based on the approximate Bahadur slope |
0 |
0 |
0 |
133 |
2 |
2 |
5 |
472 |
| Asymptotic approximations in the near-integrated model with a non-zero initial condition |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
252 |
| Bootstrap procedures for detecting multiple persistence shifts in heteroskedastic time series |
0 |
0 |
1 |
2 |
1 |
1 |
2 |
8 |
| Combining long memory and level shifts in modelling and forecasting the volatility of asset returns |
0 |
0 |
1 |
8 |
1 |
1 |
6 |
34 |
| Comment on "Statistical Adequacy and the Testing of Trend Versus Difference Stationarity" by Andreou and Spanos (Number 1) |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
117 |
| Comparisons of robust tests for shifts in trend with an application to trend deviations of real exchange rates in the long run |
0 |
0 |
0 |
20 |
1 |
2 |
16 |
128 |
| Computation and analysis of multiple structural change models |
4 |
11 |
36 |
2,971 |
14 |
41 |
186 |
6,875 |
| Continuous record Laplace-based inference about the break date in structural change models |
0 |
1 |
3 |
5 |
0 |
1 |
11 |
20 |
| Critical values for multiple structural change tests |
0 |
0 |
0 |
450 |
2 |
7 |
30 |
1,038 |
| DATA DEPENDENT RULES FOR SELECTION OF THE NUMBER OF LEADS AND LAGS IN THE DYNAMIC OLS COINTEGRATING REGRESSION |
0 |
0 |
1 |
71 |
2 |
7 |
39 |
218 |
| Does GNP have a unit root?: A re-evaluation |
0 |
0 |
2 |
73 |
0 |
0 |
4 |
192 |
| Erratum [The Great Crash, the Oil Price Shock and the Unit Root Hypothesis] |
0 |
2 |
5 |
336 |
0 |
3 |
15 |
704 |
| Estimating and Testing Linear Models with Multiple Structural Changes |
0 |
0 |
0 |
9 |
3 |
15 |
89 |
4,800 |
| Estimating and Testing Structural Changes in Multivariate Regressions |
0 |
2 |
4 |
409 |
0 |
2 |
9 |
930 |
| Estimating and testing multiple structural changes in linear models using band spectral regressions |
0 |
0 |
2 |
28 |
1 |
1 |
8 |
88 |
| Estimating deterministic trends with an integrated or stationary noise component |
0 |
0 |
6 |
141 |
3 |
4 |
16 |
466 |
| Estimating restricted structural change models |
3 |
4 |
24 |
283 |
6 |
11 |
46 |
579 |
| Estimation and inference in nearly unbalanced nearly cointegrated systems |
0 |
0 |
0 |
90 |
2 |
2 |
4 |
279 |
| Extracting and Analyzing the Warming Trend in Global and Hemispheric Temperatures |
0 |
0 |
0 |
5 |
0 |
0 |
11 |
50 |
| Forecasting return volatility: Level shifts with varying jump probability and mean reversion |
1 |
1 |
1 |
20 |
1 |
1 |
5 |
101 |
| Fractional Unit Root Tests Allowing for a Structural Change in Trend under Both the Null and Alternative Hypotheses |
0 |
0 |
0 |
4 |
1 |
2 |
5 |
59 |
| Further evidence on breaking trend functions in macroeconomic variables |
0 |
2 |
16 |
1,201 |
4 |
11 |
46 |
2,484 |
| GENERALIZED LAPLACE INFERENCE IN MULTIPLE CHANGE-POINTS MODELS |
0 |
1 |
2 |
2 |
0 |
1 |
3 |
3 |
| GLS detrending, efficient unit root tests and structural change |
1 |
1 |
6 |
408 |
2 |
5 |
34 |
1,058 |
| GLS para eliminar los componentes determinísticos, estadísticos de raíz unitaria eficientes y cambio estructural |
0 |
0 |
1 |
29 |
0 |
0 |
5 |
102 |
| GLS-BASED UNIT ROOT TESTS WITH MULTIPLE STRUCTURAL BREAKS UNDER BOTH THE NULL AND THE ALTERNATIVE HYPOTHESES |
1 |
3 |
11 |
403 |
4 |
9 |
41 |
854 |
| Improved Tests for Forecast Comparisons in the Presence of Instabilities |
0 |
0 |
1 |
5 |
1 |
1 |
5 |
34 |
| Inference on a Structural Break in Trend with Fractionally Integrated Errors |
0 |
0 |
0 |
1 |
0 |
0 |
6 |
38 |
| Inference on locally ordered breaks in multiple regressions |
0 |
0 |
0 |
2 |
0 |
1 |
5 |
46 |
| Inference related to common breaks in a multivariate system with joined segmented trends with applications to global and hemispheric temperatures |
0 |
1 |
1 |
4 |
1 |
2 |
5 |
32 |
| L'estimation de modèles avec changements structurels multiples |
0 |
0 |
1 |
1 |
0 |
0 |
2 |
2 |
| LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power |
0 |
0 |
0 |
1,132 |
1 |
5 |
28 |
3,130 |
| Let's take a break: Trends and cycles in US real GDP |
3 |
6 |
19 |
595 |
14 |
19 |
60 |
1,434 |
| Local asymptotic distribution related to the AR(1) model with dependent errors |
0 |
0 |
0 |
105 |
0 |
0 |
1 |
314 |
| Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices |
1 |
1 |
2 |
153 |
1 |
1 |
7 |
349 |
| L’estimation de modèles avec changements structurels multiples |
0 |
1 |
1 |
33 |
0 |
1 |
5 |
130 |
| MEMORY PARAMETER ESTIMATION IN THE PRESENCE OF LEVEL SHIFTS AND DETERMINISTIC TRENDS |
0 |
0 |
0 |
14 |
0 |
0 |
3 |
63 |
| Measuring business cycles with structural breaks and outliers: Applications to international data |
1 |
4 |
4 |
32 |
6 |
13 |
31 |
182 |
| Modeling and forecasting stock return volatility using a random level shift model |
2 |
2 |
5 |
231 |
3 |
4 |
13 |
640 |
| Modelling exchange rate volatility with random level shifts |
1 |
1 |
2 |
3 |
1 |
1 |
4 |
18 |
| Modified local Whittle estimator for long memory processes in the presence of low frequency (and other) contaminations |
0 |
0 |
4 |
50 |
1 |
2 |
11 |
180 |
| Nonstationarity and Level Shifts with an Application to Purchasing Power Parity |
0 |
0 |
0 |
0 |
2 |
5 |
14 |
1,236 |
| On the Irrelevance of Impossibility Theorems: The Case of the Long-run Variance |
0 |
0 |
0 |
37 |
0 |
1 |
2 |
136 |
| On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
39 |
| PPP May not Hold Afterall: A Further Investigation |
0 |
0 |
0 |
41 |
1 |
2 |
6 |
284 |
| Pitfalls of Two-Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model |
1 |
1 |
1 |
4 |
2 |
2 |
8 |
48 |
| Racines unitaires en macroéconomie: le cas d’une variable |
0 |
0 |
0 |
12 |
0 |
0 |
6 |
113 |
| Racines unitaires en macroéconomie: le cas multidimensionnel |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
27 |
| Residuals‐based tests for cointegration with generalized least‐squares detrended data |
0 |
0 |
2 |
30 |
0 |
0 |
3 |
154 |
| Royal Economic Society Annual Conference 2009 Special Issue on Factor Models: Theoretical and Applied Perspectives |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
22 |
| SEARCHING FOR ADDITIVE OUTLIERS IN NONSTATIONARY TIME SERIES |
0 |
0 |
0 |
213 |
0 |
1 |
5 |
506 |
| Saltos, tendencias y la atribución del cambio climático: un análisis de series de tiempo |
0 |
0 |
0 |
9 |
0 |
0 |
5 |
34 |
| Sampling interval and estimated betas: Implications for the presence of transitory components in stock prices |
0 |
0 |
1 |
18 |
0 |
0 |
4 |
100 |
| Structural breaks with deterministic and stochastic trends |
2 |
5 |
11 |
244 |
3 |
8 |
20 |
528 |
| Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
| THE EXACT ERROR IN ESTIMATING THE SPECTRAL DENSITY AT THE ORIGIN |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
11 |
| THE LIMIT DISTRIBUTION OF THE CUSUM OF SQUARES TEST UNDER GENERAL MIXING CONDITIONS |
0 |
1 |
2 |
42 |
0 |
1 |
3 |
155 |
| THE VARIANCE RATIO TEST: AN ANALYSIS OF SIZE AND POWER BASED ON A CONTINUOUS-TIME ASYMPTOTIC FRAMEWORK |
1 |
1 |
1 |
47 |
1 |
1 |
2 |
357 |
| Temporal Aggregation and Long Memory for Asset Price Volatility |
0 |
0 |
0 |
1 |
1 |
2 |
3 |
17 |
| Test Consistency with Varying Sampling Frequency |
0 |
0 |
0 |
33 |
0 |
0 |
1 |
112 |
| Testing for Changes in Forecasting Performance |
0 |
3 |
7 |
12 |
1 |
4 |
17 |
29 |
| Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component |
0 |
0 |
1 |
6 |
1 |
1 |
4 |
68 |
| Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
1 |
8 |
163 |
0 |
4 |
21 |
404 |
| Testing for Shifts in Trend With an Integrated or Stationary Noise Component |
0 |
0 |
0 |
200 |
0 |
1 |
5 |
458 |
| Testing for Trend in the Presence of Autoregressive Error: A Comment |
0 |
0 |
1 |
10 |
0 |
0 |
1 |
58 |
| Testing for a Unit Root in a Time Series with a Changing Mean |
0 |
0 |
0 |
0 |
2 |
5 |
12 |
1,202 |
| Testing for a Unit Root in a Time Series with a Changing Mean: Corrections and Extensions |
0 |
0 |
0 |
0 |
0 |
4 |
11 |
755 |
| Testing for common breaks in a multiple equations system |
1 |
1 |
2 |
4 |
1 |
1 |
12 |
75 |
| Testing jointly for structural changes in the error variance and coefficients of a linear regression model |
0 |
0 |
1 |
2 |
0 |
0 |
15 |
52 |
| Testing the random walk hypothesis: Power versus frequency of observation |
1 |
1 |
10 |
234 |
2 |
6 |
43 |
665 |
| Tests of return predictability: an analysis of their properties based on a continuous time asymptotic framework |
0 |
0 |
1 |
39 |
0 |
0 |
1 |
142 |
| The Calculation of the Limiting Distribution of the Least-Squares Estimator in a Near-Integrated Model |
0 |
0 |
0 |
30 |
0 |
0 |
1 |
125 |
| The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis |
1 |
3 |
26 |
3,565 |
2 |
12 |
99 |
9,464 |
| The HUMP-Shaped Behavior of Macroeconomic Fluctuations |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
188 |
| The adequacy of asymptotic approximations in the near-integrated autoregressive model with dependent errors |
0 |
0 |
0 |
30 |
0 |
0 |
1 |
98 |
| The effect of linear filters on dynamic time series with structural change |
1 |
1 |
1 |
61 |
2 |
2 |
7 |
269 |
| The effect of seasonal adjustment filters on tests for a unit root |
0 |
0 |
0 |
172 |
0 |
0 |
8 |
409 |
| The great moderation: updated evidence with joint tests for multiple structural changes in variance and persistence |
0 |
0 |
0 |
0 |
1 |
4 |
7 |
7 |
| The limit distribution of the estimates in cointegrated regression models with multiple structural changes |
1 |
1 |
2 |
86 |
2 |
3 |
10 |
287 |
| Time Series Methods Applied to Climate Change |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
58 |
| Trends and random walks in macroeconomic time series: Further evidence from a new approach |
0 |
2 |
11 |
738 |
1 |
4 |
33 |
1,367 |
| Unit Roots and Structural Breaks |
0 |
0 |
0 |
4 |
0 |
2 |
14 |
57 |
| Unit Roots in the Presence of Abrupt Governmental Interventions with an Application to Brazilian Data |
0 |
1 |
2 |
175 |
0 |
1 |
6 |
664 |
| Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses |
1 |
7 |
13 |
447 |
1 |
8 |
36 |
1,077 |
| Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties |
0 |
2 |
8 |
337 |
0 |
3 |
25 |
966 |
| Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors |
1 |
1 |
1 |
31 |
1 |
1 |
5 |
120 |
| WALD TESTS FOR DETECTING MULTIPLE STRUCTURAL CHANGES IN PERSISTENCE |
0 |
0 |
0 |
40 |
1 |
1 |
2 |
114 |
| Total Journal Articles |
33 |
86 |
309 |
18,323 |
129 |
323 |
1,500 |
60,434 |
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