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A CONTINUOUS TIME APPROXIMATION TO THE UNSTABLE FIRST- ORDER AUTOREGRESSIVE PROCESS: THE CASE WITHOUT AN INTERCEPT |
0 |
0 |
0 |
0 |
3 |
3 |
11 |
382 |
A Comparison of Alternative Asymptotic Frameworks to Analyze a Structural Change in a Linear Time Trend |
0 |
0 |
0 |
129 |
1 |
1 |
6 |
417 |
A Comparison of Alternative Methods to Construct Confidence Intervals for the Estimate of a Break Date in Linear Regression Models |
0 |
0 |
1 |
3 |
1 |
4 |
10 |
38 |
A Comparison of Alternative Methods to Construct to Confidence Intervals for the Estimate of a Break Date in Linear Regression Models |
0 |
0 |
1 |
2 |
1 |
3 |
13 |
30 |
A Modified Information Criterion for Cointegration Tests based on a VAR Approximation |
0 |
0 |
0 |
205 |
1 |
3 |
9 |
558 |
A Non-local Perspective on the Power Properties of the CUSUM and CUSUM of Squares Tests for Structural Change |
0 |
0 |
0 |
72 |
1 |
2 |
3 |
225 |
A Non-local Perspective on the Power Properties of the CUSUM and CUSUM of Squares Tests for Structural Change* |
0 |
0 |
0 |
36 |
1 |
2 |
4 |
162 |
A Note on Estimating and Testing for Multiple Structural Changes in Models with Endogenous Regressors via 2SLS |
0 |
0 |
0 |
12 |
1 |
3 |
6 |
80 |
A Note on the Selection of Time Series Models |
0 |
0 |
3 |
1,095 |
2 |
4 |
18 |
2,316 |
A Sequential Procedure to Determine the Number of Breaks in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
1 |
265 |
3 |
4 |
16 |
678 |
A Sequential Procedure to Determine the Number of Breaks in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
75 |
1 |
2 |
4 |
166 |
A Simple Modification to Improve the Finite Sample Properties of Ng and Perron’s Unit Root Tests |
0 |
0 |
0 |
168 |
1 |
2 |
3 |
443 |
A Stochastic Volatility Model with Random Level Shifts: Theory and Applications to S&P 500 and NASDAQ Return Indices |
0 |
0 |
0 |
102 |
1 |
1 |
5 |
174 |
A Test for Changes in a Polynomial Trend Functions for a Dynamioc Time Series |
0 |
0 |
0 |
0 |
3 |
8 |
16 |
764 |
A Two Step Procedure for Testing Partial Parameter Stability in Cointegrated Regression Models |
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2 |
23 |
23 |
3 |
9 |
29 |
29 |
A time-series analysis of the 20th century climate simulations produced for the IPCC’s AR4 |
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0 |
0 |
12 |
2 |
4 |
12 |
104 |
AN ANLYSIS OF THE REAL INTEREST RATE UNDER REGIME SHIFTS |
0 |
0 |
0 |
1 |
3 |
5 |
16 |
801 |
Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time |
0 |
0 |
4 |
194 |
3 |
4 |
14 |
457 |
Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time |
0 |
0 |
0 |
1 |
3 |
7 |
21 |
609 |
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 |
6 |
13 |
781 |
An Alternative Trend-Cycle Decomposition using a State Space Model with Mixtures of Normals: Specifications and Applications to International Data |
0 |
0 |
0 |
29 |
3 |
6 |
8 |
137 |
An Analysis of the Real Interest Rate Under Regime Shifts |
0 |
0 |
2 |
847 |
2 |
9 |
17 |
3,399 |
An Analysis of the Real Interest rate Under Regime Shifts |
0 |
0 |
0 |
102 |
3 |
4 |
14 |
458 |
An Analysis of the Real Interest rate Under Regime Shifts |
0 |
0 |
0 |
1 |
2 |
4 |
11 |
922 |
An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts |
0 |
0 |
0 |
27 |
1 |
1 |
3 |
118 |
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 |
3 |
3 |
8 |
213 |
An Autoregressive Spectral Density Estimator at Frequency Zero for Nonstationarity Tests |
0 |
0 |
0 |
0 |
1 |
2 |
9 |
1,238 |
An Autoregressive Spectral Density Estimator at Frequency Zero for Nonstationarity Tests |
0 |
0 |
0 |
76 |
2 |
2 |
3 |
359 |
An analysis of Real Interest Rate Under Regime Shifts |
0 |
0 |
0 |
0 |
1 |
3 |
12 |
90 |
An analysis of Real Interest Rate Under Regime Shifts |
0 |
0 |
0 |
0 |
4 |
5 |
13 |
211 |
Approximations to Some Exact Distributions in the First Order Autogressive Model with Dependent Errors |
1 |
1 |
1 |
15 |
2 |
2 |
12 |
76 |
Approximations to Some Exact Distributions in the First Order Autogressive Model with Dependent Errors |
0 |
0 |
0 |
0 |
2 |
3 |
6 |
156 |
Assessing the Relative Power of Structural Break Tests Using a Framework Based on the Approximate Bahadur Slope |
0 |
0 |
0 |
28 |
1 |
6 |
9 |
118 |
Asymptotic Approximations in the Near-Integrated Model with a Non-Zero Initial Condition |
0 |
0 |
0 |
28 |
1 |
1 |
5 |
211 |
Bootstrap Procedures for Detecting Multiple Persistence Shifts in Heteroskedastic Time Series |
0 |
1 |
18 |
18 |
1 |
4 |
19 |
19 |
Breaks, trends and the attribution of climate change: a time-series analysis |
1 |
1 |
3 |
137 |
2 |
3 |
8 |
328 |
Characterizing and attributing the warming trend in sea and land surface temperatures |
1 |
1 |
3 |
24 |
3 |
5 |
13 |
52 |
Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
0 |
0 |
2 |
4 |
17 |
36 |
Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
1 |
67 |
1 |
2 |
6 |
53 |
Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
1 |
1 |
85 |
2 |
4 |
7 |
201 |
Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns |
0 |
0 |
0 |
10 |
1 |
2 |
6 |
93 |
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 |
1 |
2 |
7 |
95 |
Computation and Analysis of Multiple Structural-Change Models |
0 |
4 |
12 |
2,495 |
4 |
16 |
54 |
5,199 |
Continuous Record Asymptotics for Change-Point Models |
1 |
1 |
18 |
18 |
2 |
2 |
14 |
14 |
Continuous Record Asymptotics for Structural Change Models |
0 |
0 |
2 |
25 |
1 |
1 |
7 |
43 |
Continuous Record Laplace-based Inference about the Break Date in Structural Change Models |
0 |
0 |
0 |
12 |
1 |
2 |
9 |
32 |
Continuous Record Laplace-based Inference about the Break Date in Structural Change Models |
0 |
0 |
0 |
0 |
1 |
4 |
8 |
8 |
Data Dependent Rules for the Selection of the Number of Leads and Lags in the Dynamic OLS Cointegrating Regression |
0 |
0 |
0 |
77 |
4 |
9 |
14 |
257 |
Data Dependent Rules for the Selection of the Number of Leads and Lags in the Dynamic OLS Cointegrating Regression* |
0 |
0 |
0 |
103 |
2 |
2 |
9 |
246 |
Dealing with Structural Breaks |
0 |
0 |
0 |
723 |
11 |
26 |
89 |
1,824 |
Detection and attribution of climate change through econometric methods |
1 |
1 |
2 |
23 |
3 |
4 |
9 |
34 |
Does Gnp Have a Unit Root? a Reevaluation |
0 |
0 |
0 |
2 |
1 |
2 |
10 |
310 |
Estimating & Testing Linear Models with Multiple Structural Changes |
0 |
0 |
0 |
0 |
1 |
4 |
11 |
1,045 |
Estimating Deterministic Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
77 |
2 |
4 |
9 |
199 |
Estimating Deterministic Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
12 |
1 |
2 |
5 |
102 |
Estimating Deterministric Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
68 |
1 |
3 |
8 |
280 |
Estimating and Testing Linear Models with Multiple Structural Changes |
3 |
8 |
22 |
715 |
13 |
29 |
94 |
1,811 |
Estimating and Testing Linear Models with Multiple Structural Changes |
0 |
0 |
0 |
10 |
4 |
9 |
48 |
1,891 |
Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions |
0 |
0 |
0 |
19 |
2 |
4 |
10 |
154 |
Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions |
1 |
1 |
2 |
42 |
3 |
5 |
10 |
148 |
Estimating and Testing Multiple Structural Changes in Models with Endogenous Regressors |
0 |
0 |
0 |
115 |
2 |
4 |
7 |
328 |
Estimating and testing structural changes in multivariate regressions |
0 |
0 |
0 |
231 |
4 |
9 |
22 |
560 |
Estimation and Inference in Nearly Unbalanced, Nearly Cointegrated Systems |
0 |
0 |
0 |
1 |
1 |
1 |
5 |
225 |
Estimation and Inference in Nearly Unbalanced, Nearly Cointegrated Systems |
0 |
0 |
0 |
40 |
2 |
3 |
10 |
147 |
Extracting and analyzing the warming trend in global and hemispheric temperatures |
0 |
0 |
1 |
19 |
2 |
3 |
8 |
36 |
FURTHER EVIDENCE ON BREAKING TREND FUNCTIONS IN MACROECONOMICS VARIABLES |
0 |
0 |
0 |
4 |
3 |
5 |
25 |
1,063 |
Forecasting Return Volatility: Level Shifts with Varying Jump Probability and Mean Reversion |
0 |
0 |
0 |
3 |
1 |
2 |
7 |
26 |
Forecasting in the presence of in and out of sample breaks |
0 |
0 |
1 |
60 |
1 |
4 |
9 |
44 |
Forecasting in the presence of in and out of sample breaks |
0 |
0 |
1 |
1 |
2 |
7 |
14 |
27 |
Further Evidence on Breaking Trend Functions in Macroeconomic Variables |
0 |
0 |
1 |
242 |
2 |
7 |
35 |
701 |
Further Evidence on Breaking Trend Functions in Macroeconomic Variables |
0 |
0 |
0 |
7 |
3 |
4 |
27 |
1,172 |
GLS Detrending, Efficient Unit Root Tests and Structural Change |
0 |
0 |
3 |
607 |
1 |
5 |
20 |
1,337 |
GLS-based unit root tests with multiple structural breaks both under the null and the alternative hypotheses |
0 |
0 |
0 |
141 |
2 |
10 |
21 |
457 |
Generalized Laplace Inference in Multiple Change-Points Models |
0 |
0 |
0 |
0 |
1 |
5 |
12 |
12 |
Generalized Laplace Inference in Multiple Change-Points Models |
0 |
0 |
1 |
28 |
3 |
4 |
16 |
66 |
Improved Tests for Forecast Comparisons in the Presence of Instabilities |
0 |
0 |
0 |
3 |
1 |
2 |
5 |
30 |
Improved Tests for Forecast Comparisons in the Presence of Instabilities |
0 |
0 |
0 |
42 |
1 |
2 |
4 |
31 |
Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures |
0 |
0 |
5 |
15 |
1 |
4 |
12 |
29 |
Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures |
0 |
0 |
0 |
2 |
0 |
5 |
12 |
27 |
Inference Related to Locally Ordered and Common Breaks in a Multivariate System with Joined Segmented Trends |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
16 |
Inference on Locally Ordered Breaks in Multiple Regressions |
0 |
0 |
1 |
2 |
1 |
3 |
11 |
37 |
Inference on a Structural Break in Trend with Fractionally Integrated Errors |
1 |
1 |
3 |
4 |
2 |
3 |
10 |
31 |
Inference on a Structural Break in Trend with Fractionally Integrated Errors |
0 |
0 |
1 |
3 |
2 |
4 |
6 |
23 |
Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power |
0 |
0 |
1 |
1,949 |
2 |
7 |
47 |
5,969 |
Let’s Take a Break: Trends and Cycles in US Real GDP |
0 |
0 |
0 |
87 |
1 |
4 |
23 |
391 |
Let’s Take a Break: Trends and Cycles in US Real GDP? |
0 |
0 |
0 |
222 |
3 |
4 |
17 |
888 |
Level Shifts and Purchasing Power Parity |
0 |
0 |
2 |
321 |
1 |
2 |
14 |
893 |
Local Asymtotic Distributions Related to the AR(1) MOdel with Dependent Errors |
0 |
0 |
0 |
1 |
2 |
3 |
6 |
482 |
Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices |
0 |
0 |
0 |
115 |
1 |
1 |
7 |
276 |
Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data |
0 |
2 |
3 |
11 |
2 |
6 |
13 |
42 |
Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data |
0 |
0 |
0 |
63 |
2 |
5 |
11 |
40 |
Memory Parameter Estimation in the Presence of Level Shifts and Deterministic Trends |
0 |
0 |
0 |
7 |
1 |
2 |
8 |
68 |
Memory Parameter Estimation in the Presence of Level Shifts and Deterministic Trends |
0 |
0 |
0 |
58 |
1 |
3 |
7 |
75 |
Methodology in Economics: the Logic of Appraisal |
0 |
0 |
0 |
66 |
2 |
2 |
5 |
244 |
Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model |
0 |
0 |
0 |
78 |
2 |
6 |
10 |
195 |
Nonstationary and Level Shifts With An Application To Purchasing Power Parity |
0 |
0 |
0 |
6 |
4 |
6 |
13 |
1,043 |
On the Irrelevance of Impossibility Theorems: The Case of the Long-run Variance |
0 |
0 |
0 |
3 |
2 |
4 |
17 |
53 |
On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
14 |
1 |
4 |
7 |
83 |
On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
4 |
1 |
3 |
8 |
20 |
On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
42 |
1 |
3 |
6 |
133 |
PPP May not Hold After all: A Further Investigation |
0 |
0 |
0 |
278 |
3 |
6 |
21 |
911 |
PPP May not Hold Afterall: A Further Investigation |
0 |
0 |
0 |
17 |
1 |
4 |
8 |
263 |
Pitfalls and Opportunities: What Macroeconomics should know about unit roots |
0 |
0 |
0 |
3 |
5 |
13 |
34 |
1,565 |
Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots |
1 |
5 |
11 |
2,896 |
4 |
11 |
44 |
6,050 |
Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots |
0 |
3 |
6 |
32 |
4 |
10 |
40 |
230 |
Pitfalls of Two Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model |
0 |
0 |
1 |
26 |
1 |
5 |
18 |
40 |
Residual Based Tests for Cointegration with GLS Detrended Data |
0 |
0 |
0 |
2 |
2 |
4 |
11 |
753 |
Residual test for cointegration with GLS detrended data |
0 |
2 |
4 |
177 |
1 |
7 |
18 |
420 |
Residuals-based Tests for Cointegration with GLS Detrended Data |
0 |
0 |
1 |
32 |
2 |
4 |
9 |
60 |
Robust testing of time trend and mean with unknown integration order errors Frequency (and Other) Contaminations |
0 |
0 |
1 |
6 |
2 |
3 |
9 |
33 |
Sampling Interval and Estimated Betas: Implications for the Presence of Transitory Components in Stock Prices |
0 |
0 |
0 |
7 |
1 |
2 |
6 |
70 |
Sampling Interval and estimated Betas: Implications for the Presence of Transitory Components in Stock Prices |
0 |
0 |
0 |
55 |
2 |
3 |
7 |
374 |
Seraching for Additive Outliers in Nonstationary Time Series |
0 |
0 |
0 |
1 |
0 |
3 |
13 |
932 |
Single-equation tests for Cointegration with GLS Detrended Data |
0 |
0 |
1 |
10 |
1 |
2 |
6 |
41 |
State Space Model with Mixtures of Normals: Specifications and Applications to International Data |
0 |
0 |
0 |
31 |
2 |
6 |
9 |
150 |
Statistical evidence about human influence on the climate system |
0 |
0 |
0 |
106 |
2 |
3 |
7 |
353 |
Statistically-derived contributions of diverse human influences to 20th century temperature changes |
0 |
0 |
3 |
4 |
4 |
5 |
13 |
27 |
Structural Breaks in Time Series |
0 |
1 |
11 |
165 |
3 |
8 |
34 |
110 |
Structural Breaks in Time Series |
3 |
6 |
31 |
87 |
10 |
28 |
98 |
161 |
TEST CONSISTENCY WITH VARYING SAMPLING FREQUENCY |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
501 |
TESTING FOR A RANDOM WALK: A SIMULATION EXPERIMENT OF POWER WHEN THE SIMPLING INTERVAL IS VARIED |
0 |
0 |
0 |
0 |
2 |
4 |
12 |
703 |
TESTING FOR A UNIT ROOT IN A TIME SERIES WITH A CHANGING MEAN |
0 |
0 |
0 |
12 |
2 |
5 |
16 |
1,310 |
THE ADEQUACY OF LIMITING DISTRIBUTIONS IN THE AR(1) MODEL WITH DEPENDENT ERRORS |
0 |
0 |
0 |
0 |
2 |
2 |
4 |
163 |
THE EFFECT OF SEASONAL ADJUSTMENT FILTERS ON TEST FOR UNIT ROOT |
0 |
0 |
0 |
0 |
1 |
1 |
7 |
248 |
THE EFFECT OF SEASONAL ADJUSTMENT FILTERS ON TESTS FOR A UNIT ROOT |
0 |
0 |
0 |
1 |
2 |
3 |
11 |
445 |
THE GREAT CRASH, THE OIL PRICE SHOCK AND THE UNIT ROOT HYPOTHESIS |
0 |
0 |
0 |
6 |
6 |
16 |
56 |
2,669 |
THE LIMITING DISTRIBUTION OF THE LEAST SQUARES ESTIMATOR IN NEARLY INTEGRATED SEASONAL MODELS |
0 |
0 |
0 |
0 |
3 |
3 |
8 |
217 |
Temporal Aggregation, Bandwidth Selection and Long Memory for Volatility Models |
0 |
0 |
0 |
5 |
1 |
2 |
9 |
37 |
Test Consistency with Varying Sampling Frequency |
0 |
0 |
0 |
2 |
2 |
2 |
9 |
325 |
Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model |
0 |
0 |
1 |
67 |
1 |
4 |
18 |
218 |
Testing Jointly for Structural Changes in the Error Variance and Coefficients of a Linear Regression Model |
2 |
2 |
5 |
39 |
4 |
8 |
22 |
46 |
Testing for Breaks in Coefficients and Error Variance: Simulations and Applications |
0 |
0 |
0 |
64 |
1 |
2 |
13 |
181 |
Testing for Changes in Forecasting Performance |
0 |
0 |
0 |
0 |
1 |
6 |
8 |
8 |
Testing for Changes in Forecasting Performance |
0 |
0 |
0 |
36 |
1 |
6 |
11 |
35 |
Testing for Changes in Forecasting Performance |
0 |
0 |
0 |
68 |
2 |
4 |
11 |
48 |
Testing for Common Breaks in a Multiple Equations System |
0 |
0 |
0 |
19 |
1 |
1 |
15 |
33 |
Testing for Common Breaks in a Multiple Equations System |
0 |
0 |
0 |
17 |
1 |
1 |
8 |
119 |
Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component |
0 |
0 |
1 |
72 |
2 |
4 |
10 |
143 |
Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
18 |
1 |
2 |
7 |
36 |
Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
0 |
0 |
31 |
1 |
2 |
9 |
136 |
Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
3 |
7 |
489 |
1 |
7 |
33 |
1,094 |
Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
0 |
0 |
54 |
1 |
2 |
7 |
173 |
Testing for Shifts in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
188 |
1 |
3 |
11 |
489 |
Testing for Shifts in Trend with an Integrated or Stationary Noise Component |
0 |
0 |
0 |
114 |
2 |
3 |
6 |
367 |
Testing for Trend in the Presence of Autoregressive Error: A Comment |
0 |
0 |
0 |
5 |
1 |
2 |
4 |
48 |
Testing for Trend in the Presence of Autoregressive Error: A Comment |
0 |
0 |
1 |
61 |
2 |
3 |
6 |
141 |
Testing for a Unit Root in Time Series Regression |
3 |
9 |
37 |
3,019 |
13 |
46 |
199 |
7,526 |
Testing for common breaks in a multiple equations system |
0 |
0 |
0 |
14 |
1 |
1 |
11 |
40 |
Testing jointly for structural changes in the error variance and coe¢ cients of a linear regression model |
0 |
0 |
0 |
0 |
2 |
2 |
19 |
19 |
Testing the Random Walk Hypothesis: Power Versus Frequency of Observation |
0 |
0 |
10 |
992 |
2 |
4 |
23 |
3,381 |
Testing the Random Walk Hypothesis: Power versus Frequency of Observation |
1 |
3 |
8 |
627 |
3 |
6 |
25 |
2,663 |
Tests of Joint Hypotheses for Time Series Regression with a Unit Root |
0 |
1 |
2 |
65 |
2 |
6 |
18 |
270 |
The Adequacy of Asymptotic Approximations in the Near- Integrated Autoregressive Model with Dependent Errors |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
121 |
The Adequacy of Asymptotic Approximations in the Near-Integrated Autoregressive Model with Dependent Errors |
0 |
0 |
0 |
14 |
1 |
1 |
2 |
49 |
The Calculation of the Limiting Distribution of the Least Squares Estimator in Near-Integrated Model |
0 |
0 |
0 |
0 |
2 |
2 |
5 |
149 |
The Effect of Linear Filters on Dynamic Time series with Structural Change |
0 |
0 |
0 |
0 |
1 |
2 |
9 |
302 |
The Effect of Linear Filters on Dynamic Time series with Structural Change |
0 |
0 |
0 |
38 |
1 |
2 |
4 |
149 |
The Effect of Seasonal Adjustment Filters on Test for Unit Root |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
100 |
The Exact Error in Estimating the Special Density at the Origin |
0 |
0 |
0 |
0 |
1 |
1 |
8 |
331 |
The Exact Error in Estimating the Special Density at the Origin |
0 |
0 |
0 |
22 |
1 |
1 |
6 |
82 |
The FCLT with Dependent Errors: an Helicopter Tour of the Quality of the Approximation |
0 |
0 |
0 |
32 |
2 |
2 |
7 |
213 |
The Great Crash, the Oil Prices and the Unit Root Hypothesis |
0 |
0 |
0 |
1 |
3 |
3 |
13 |
429 |
The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence |
0 |
1 |
5 |
27 |
1 |
6 |
23 |
35 |
The Great Moderation: Updated Evidence with Joint Tests for Multiple Structural Changes in Variance and Persistence |
0 |
0 |
0 |
0 |
2 |
4 |
10 |
10 |
The Limit Distribution of the CUSUM of Square Test Under Genreal MIxing Conditions* |
0 |
0 |
0 |
163 |
1 |
1 |
3 |
621 |
The Limit Distribution of the CUSUM of Squares Test Under General Mixing Conditions |
0 |
0 |
0 |
16 |
1 |
2 |
6 |
90 |
The Limit Distribution of the Estimates in Cointegrated Regression Models with Multiple Structural Changes |
0 |
0 |
0 |
35 |
1 |
2 |
4 |
101 |
Trend and Cycles: A New Approach and Explanations of Some Old Puzzles |
1 |
1 |
3 |
315 |
6 |
11 |
27 |
996 |
Trends and Random Walks in Macroeconomic Time Series: Further Evidence From a New Approach |
0 |
0 |
0 |
3 |
1 |
3 |
18 |
2,212 |
Trigonometric Trend Regressions of Unknown Frequencies with Stationary or Integrated Noise |
1 |
2 |
33 |
33 |
2 |
4 |
36 |
36 |
Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag |
0 |
0 |
0 |
1 |
2 |
6 |
17 |
978 |
Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag |
0 |
1 |
1 |
254 |
1 |
4 |
11 |
668 |
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 |
2 |
4 |
9 |
313 |
Unit roots in the presence of abrupt governmental interventions with an application to Brazilian to Brazilian data |
0 |
0 |
1 |
48 |
0 |
0 |
4 |
141 |
Useful Modifications to Some Unit Root Tests with Dependent Errors and Their Local Asymptotic Properties |
0 |
2 |
4 |
67 |
2 |
5 |
18 |
267 |
Useful Modifications to Some Unit Root Tests with Dependent Errors and Their Local Asymptotic Properties |
0 |
0 |
0 |
1 |
1 |
2 |
10 |
332 |
Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors |
0 |
0 |
0 |
26 |
2 |
5 |
9 |
132 |
Wald Tests for Detecting Multiple Structural Changes in Persistence |
0 |
0 |
4 |
205 |
2 |
3 |
15 |
418 |
Total Working Papers |
22 |
67 |
337 |
24,680 |
362 |
813 |
2,698 |
94,364 |
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 |
1 |
1 |
2 |
38 |
A Continuous Time Approximation to the Unstable First-Order Autoregressive Process: The Case without an Intercept |
0 |
0 |
0 |
123 |
1 |
4 |
8 |
577 |
A MODIFIED INFORMATION CRITERION FOR COINTEGRATION TESTS BASED ON A VAR APPROXIMATION |
1 |
1 |
2 |
51 |
1 |
2 |
6 |
207 |
A NOTE ON ESTIMATING AND TESTING FOR MULTIPLE STRUCTURAL CHANGES IN MODELS WITH ENDOGENOUS REGRESSORS VIA 2SLS |
0 |
0 |
0 |
27 |
1 |
4 |
9 |
96 |
A Note on Johansen's Cointegration Procedure When Trends Are Present |
0 |
0 |
0 |
0 |
2 |
6 |
12 |
2,549 |
A Note on the Asymptotic Distributions of Unit Root Tests in the Additive Outlier Model With Breaks |
0 |
0 |
5 |
14 |
1 |
5 |
19 |
40 |
A Note on the Selection of Time Series Models |
0 |
0 |
2 |
245 |
1 |
2 |
14 |
611 |
A Time-Series Analysis of the 20th Century Climate Simulations Produced for the IPCC’s Fourth Assessment Report |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
3 |
A comparison of alternative asymptotic frameworks to analyse a structural change in a linear time trend |
0 |
0 |
0 |
32 |
1 |
3 |
14 |
387 |
A comparison of alternative methods to construct confidence intervals for the estimate of a break date in linear regression models |
0 |
0 |
2 |
4 |
3 |
5 |
13 |
23 |
A look at the quality of the approximation of the functional central limit theorem |
0 |
0 |
1 |
8 |
1 |
1 |
5 |
61 |
A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change |
0 |
0 |
1 |
60 |
1 |
3 |
9 |
223 |
A note on estimating a structural change in persistence |
0 |
0 |
1 |
16 |
1 |
1 |
5 |
87 |
A sequential procedure to determine the number of breaks in trend with an integrated or stationary noise component |
0 |
0 |
1 |
62 |
1 |
3 |
7 |
171 |
A simple modification to improve the finite sample properties of Ng and Perron's unit root tests |
1 |
1 |
3 |
118 |
2 |
3 |
17 |
334 |
A stochastic volatility model with random level shifts and its applications to S&P 500 and NASDAQ return indices |
1 |
2 |
6 |
16 |
2 |
3 |
11 |
54 |
AN AUTOREGRESSIVE SPECTRAL DENSITY ESTIMATOR AT FREQUENCY ZERO FOR NONSTATIONARITY TESTS |
0 |
1 |
1 |
81 |
1 |
2 |
3 |
199 |
Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time |
0 |
0 |
0 |
1 |
5 |
14 |
38 |
1,051 |
An Analysis of the Real Interest Rate under Regime Shifts |
1 |
5 |
28 |
755 |
6 |
23 |
74 |
1,773 |
Assessing the relative power of structural break tests using a framework based on the approximate Bahadur slope |
0 |
0 |
0 |
133 |
2 |
3 |
6 |
459 |
Asymptotic approximations in the near-integrated model with a non-zero initial condition |
0 |
0 |
0 |
7 |
1 |
1 |
3 |
251 |
Bootstrap procedures for detecting multiple persistence shifts in heteroskedastic time series |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
Combining long memory and level shifts in modelling and forecasting the volatility of asset returns |
0 |
0 |
2 |
7 |
2 |
4 |
8 |
22 |
Comment on "Statistical Adequacy and the Testing of Trend Versus Difference Stationarity" by Andreou and Spanos (Number 1) |
0 |
0 |
0 |
26 |
1 |
1 |
3 |
116 |
Comparisons of robust tests for shifts in trend with an application to trend deviations of real exchange rates in the long run |
0 |
0 |
1 |
20 |
1 |
2 |
8 |
106 |
Computation and analysis of multiple structural change models |
3 |
17 |
72 |
2,901 |
27 |
80 |
296 |
6,540 |
Critical values for multiple structural change tests |
1 |
3 |
11 |
445 |
5 |
14 |
40 |
973 |
DATA DEPENDENT RULES FOR SELECTION OF THE NUMBER OF LEADS AND LAGS IN THE DYNAMIC OLS COINTEGRATING REGRESSION |
0 |
0 |
0 |
69 |
1 |
5 |
9 |
160 |
Does GNP have a unit root?: A re-evaluation |
0 |
0 |
1 |
71 |
1 |
2 |
5 |
184 |
Erratum [The Great Crash, the Oil Price Shock and the Unit Root Hypothesis] |
0 |
6 |
16 |
323 |
4 |
20 |
39 |
671 |
Estimating and Testing Linear Models with Multiple Structural Changes |
0 |
0 |
0 |
9 |
23 |
60 |
190 |
4,602 |
Estimating and Testing Structural Changes in Multivariate Regressions |
1 |
3 |
6 |
405 |
6 |
14 |
27 |
905 |
Estimating and testing multiple structural changes in linear models using band spectral regressions |
0 |
0 |
1 |
26 |
1 |
3 |
6 |
69 |
Estimating deterministic trends with an integrated or stationary noise component |
1 |
1 |
4 |
129 |
2 |
9 |
30 |
430 |
Estimating restricted structural change models |
2 |
3 |
25 |
248 |
4 |
9 |
57 |
506 |
Estimation and inference in nearly unbalanced nearly cointegrated systems |
0 |
0 |
1 |
90 |
2 |
3 |
14 |
268 |
Extracting and Analyzing the Warming Trend in Global and Hemispheric Temperatures |
0 |
1 |
2 |
5 |
2 |
6 |
9 |
28 |
Forecasting return volatility: Level shifts with varying jump probability and mean reversion |
0 |
0 |
3 |
18 |
1 |
3 |
13 |
85 |
Fractional Unit Root Tests Allowing for a Structural Change in Trend under Both the Null and Alternative Hypotheses |
0 |
0 |
0 |
4 |
2 |
4 |
15 |
44 |
Further evidence on breaking trend functions in macroeconomic variables |
2 |
11 |
29 |
1,165 |
6 |
25 |
86 |
2,370 |
GLS detrending, efficient unit root tests and structural change |
2 |
8 |
12 |
399 |
5 |
16 |
42 |
1,003 |
GLS para eliminar los componentes determinísticos, estadísticos de raíz unitaria eficientes y cambio estructural |
0 |
0 |
0 |
28 |
1 |
1 |
5 |
95 |
GLS-BASED UNIT ROOT TESTS WITH MULTIPLE STRUCTURAL BREAKS UNDER BOTH THE NULL AND THE ALTERNATIVE HYPOTHESES |
2 |
5 |
21 |
385 |
9 |
23 |
67 |
782 |
Improved Tests for Forecast Comparisons in the Presence of Instabilities |
0 |
0 |
1 |
4 |
2 |
3 |
6 |
25 |
Inference on a Structural Break in Trend with Fractionally Integrated Errors |
0 |
0 |
1 |
1 |
2 |
3 |
6 |
24 |
Inference on locally ordered breaks in multiple regressions |
0 |
0 |
1 |
2 |
1 |
3 |
10 |
29 |
Inference related to common breaks in a multivariate system with joined segmented trends with applications to global and hemispheric temperatures |
0 |
0 |
2 |
2 |
1 |
8 |
13 |
13 |
LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power |
0 |
0 |
3 |
1,132 |
2 |
12 |
61 |
3,070 |
Let's take a break: Trends and cycles in US real GDP |
4 |
6 |
41 |
564 |
9 |
17 |
96 |
1,339 |
Local asymptotic distribution related to the AR(1) model with dependent errors |
0 |
1 |
3 |
103 |
2 |
4 |
9 |
307 |
Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices |
0 |
0 |
7 |
150 |
1 |
3 |
18 |
334 |
L’estimation de modèles avec changements structurels multiples |
0 |
0 |
1 |
30 |
1 |
1 |
4 |
120 |
MEMORY PARAMETER ESTIMATION IN THE PRESENCE OF LEVEL SHIFTS AND DETERMINISTIC TRENDS |
0 |
0 |
1 |
13 |
1 |
3 |
5 |
52 |
Measuring business cycles with structural breaks and outliers: Applications to international data |
0 |
0 |
3 |
26 |
2 |
7 |
28 |
131 |
Modeling and forecasting stock return volatility using a random level shift model |
1 |
1 |
6 |
226 |
2 |
5 |
18 |
618 |
Modelling exchange rate volatility with random level shifts |
0 |
0 |
0 |
1 |
1 |
2 |
5 |
9 |
Modified local Whittle estimator for long memory processes in the presence of low frequency (and other) contaminations |
0 |
1 |
2 |
40 |
3 |
4 |
8 |
151 |
Nonstationarity and Level Shifts with an Application to Purchasing Power Parity |
0 |
0 |
0 |
0 |
2 |
12 |
29 |
1,204 |
On the Irrelevance of Impossibility Theorems: The Case of the Long-run Variance |
0 |
0 |
0 |
37 |
3 |
3 |
7 |
131 |
On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests |
0 |
0 |
0 |
0 |
1 |
4 |
6 |
29 |
PPP May not Hold Afterall: A Further Investigation |
0 |
0 |
1 |
41 |
3 |
4 |
10 |
272 |
Pitfalls of Two-Step Testing for Changes in the Error Variance and Coefficients of a Linear Regression Model |
0 |
0 |
0 |
3 |
1 |
5 |
13 |
29 |
Racines unitaires en macroéconomie: le cas d’une variable |
0 |
0 |
0 |
12 |
1 |
2 |
6 |
101 |
Racines unitaires en macroéconomie: le cas multidimensionnel |
0 |
0 |
1 |
3 |
1 |
1 |
6 |
24 |
Residuals‐based tests for cointegration with generalized least‐squares detrended data |
0 |
3 |
3 |
28 |
82 |
87 |
90 |
132 |
Royal Economic Society Annual Conference 2009 Special Issue on Factor Models: Theoretical and Applied Perspectives |
1 |
2 |
2 |
3 |
3 |
4 |
5 |
20 |
SEARCHING FOR ADDITIVE OUTLIERS IN NONSTATIONARY TIME SERIES |
0 |
1 |
1 |
213 |
1 |
2 |
7 |
495 |
Saltos, tendencias y la atribución del cambio climático: un análisis de series de tiempo |
0 |
2 |
6 |
6 |
2 |
7 |
18 |
18 |
Sampling interval and estimated betas: Implications for the presence of transitory components in stock prices |
0 |
0 |
0 |
17 |
2 |
4 |
5 |
89 |
Structural breaks with deterministic and stochastic trends |
0 |
4 |
10 |
230 |
2 |
7 |
20 |
496 |
THE EXACT ERROR IN ESTIMATING THE SPECTRAL DENSITY AT THE ORIGIN |
0 |
0 |
1 |
1 |
1 |
1 |
4 |
7 |
THE LIMIT DISTRIBUTION OF THE CUSUM OF SQUARES TEST UNDER GENERAL MIXING CONDITIONS |
0 |
0 |
0 |
40 |
1 |
2 |
7 |
151 |
THE VARIANCE RATIO TEST: AN ANALYSIS OF SIZE AND POWER BASED ON A CONTINUOUS-TIME ASYMPTOTIC FRAMEWORK |
0 |
0 |
0 |
46 |
1 |
3 |
4 |
355 |
Temporal Aggregation and Long Memory for Asset Price Volatility |
1 |
1 |
1 |
1 |
3 |
7 |
10 |
10 |
Test Consistency with Varying Sampling Frequency |
0 |
0 |
0 |
33 |
1 |
2 |
5 |
111 |
Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component |
0 |
0 |
1 |
4 |
1 |
3 |
8 |
57 |
Testing for Multiple Structural Changes in Cointegrated Regression Models |
0 |
1 |
6 |
153 |
2 |
8 |
31 |
363 |
Testing for Shifts in Trend With an Integrated or Stationary Noise Component |
0 |
0 |
0 |
198 |
2 |
4 |
10 |
441 |
Testing for Trend in the Presence of Autoregressive Error: A Comment |
0 |
0 |
0 |
9 |
1 |
2 |
5 |
56 |
Testing for a Unit Root in a Time Series with a Changing Mean |
0 |
0 |
0 |
0 |
1 |
7 |
34 |
1,177 |
Testing for a Unit Root in a Time Series with a Changing Mean: Corrections and Extensions |
0 |
0 |
0 |
0 |
1 |
2 |
18 |
727 |
Testing for common breaks in a multiple equations system |
0 |
0 |
0 |
1 |
1 |
2 |
10 |
47 |
Testing jointly for structural changes in the error variance and coefficients of a linear regression model |
1 |
1 |
1 |
1 |
2 |
4 |
7 |
7 |
Testing the random walk hypothesis: Power versus frequency of observation |
1 |
5 |
19 |
219 |
4 |
12 |
60 |
595 |
Tests of return predictability: an analysis of their properties based on a continuous time asymptotic framework |
0 |
1 |
1 |
38 |
2 |
3 |
8 |
141 |
The Calculation of the Limiting Distribution of the Least-Squares Estimator in a Near-Integrated Model |
0 |
0 |
0 |
30 |
1 |
1 |
4 |
122 |
The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis |
6 |
21 |
76 |
3,519 |
18 |
73 |
241 |
9,270 |
The HUMP-Shaped Behavior of Macroeconomic Fluctuations |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
186 |
The adequacy of asymptotic approximations in the near-integrated autoregressive model with dependent errors |
0 |
0 |
1 |
30 |
1 |
1 |
5 |
94 |
The effect of linear filters on dynamic time series with structural change |
0 |
0 |
1 |
60 |
1 |
3 |
8 |
257 |
The effect of seasonal adjustment filters on tests for a unit root |
0 |
0 |
3 |
171 |
1 |
3 |
12 |
399 |
The limit distribution of the estimates in cointegrated regression models with multiple structural changes |
0 |
1 |
3 |
84 |
1 |
3 |
13 |
270 |
Time Series Methods Applied to Climate Change |
0 |
0 |
3 |
20 |
2 |
2 |
7 |
57 |
Trends and random walks in macroeconomic time series: Further evidence from a new approach |
0 |
2 |
11 |
721 |
2 |
10 |
30 |
1,302 |
Unit Roots and Structural Breaks |
0 |
1 |
1 |
2 |
2 |
7 |
17 |
34 |
Unit Roots in the Presence of Abrupt Governmental Interventions with an Application to Brazilian Data |
0 |
0 |
0 |
172 |
2 |
2 |
7 |
650 |
Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses |
4 |
5 |
14 |
427 |
7 |
13 |
54 |
1,014 |
Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties |
1 |
4 |
18 |
326 |
6 |
16 |
53 |
920 |
Using OLS to Estimate and Test for Structural Changes in Models with Endogenous Regressors |
0 |
1 |
3 |
28 |
2 |
5 |
12 |
101 |
WALD TESTS FOR DETECTING MULTIPLE STRUCTURAL CHANGES IN PERSISTENCE |
1 |
1 |
3 |
39 |
3 |
5 |
9 |
109 |
Total Journal Articles |
39 |
134 |
523 |
17,800 |
352 |
820 |
2,454 |
57,446 |