| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Factor Analytical Approach to Price Discovery |
0 |
0 |
0 |
36 |
2 |
5 |
6 |
145 |
| A Factor Analytical Method to Interactive Effects Dynamic Panel Models with or without Unit Root |
0 |
0 |
0 |
121 |
0 |
5 |
9 |
302 |
| A Note on the Pooling of Individual PANIC Unit Root Tests |
0 |
0 |
0 |
70 |
0 |
2 |
2 |
192 |
| A Panel CUSUM Test of the Null of Cointegration |
0 |
0 |
0 |
78 |
0 |
3 |
6 |
505 |
| A Panel Data Test of the Bank Lending Channel in Sweden |
0 |
0 |
0 |
343 |
0 |
1 |
2 |
923 |
| A Simplified Klein–Spady Estimator for Binary Choice Models |
0 |
2 |
15 |
15 |
0 |
6 |
17 |
17 |
| A factor analytical approach to the efficient futures market hypothesis |
0 |
0 |
0 |
51 |
2 |
7 |
7 |
128 |
| A factor-augmented new Keynesian Phillips curve for the European Union countries |
0 |
1 |
3 |
28 |
0 |
6 |
9 |
57 |
| A practical note on the determination of the number of factors using information criteria with data-driven penalty |
0 |
0 |
0 |
33 |
0 |
0 |
2 |
31 |
| A random coefficient approach to the predictability of stock returns in panels |
0 |
0 |
0 |
44 |
1 |
7 |
11 |
89 |
| Are Crime Rates Really Stationary? |
0 |
0 |
0 |
35 |
1 |
3 |
5 |
156 |
| Are Crime Rates Really Stationary? |
0 |
0 |
0 |
45 |
1 |
2 |
4 |
186 |
| CCE estimation of factor-augmented regression models with more factors than observables |
0 |
0 |
0 |
130 |
0 |
5 |
6 |
488 |
| Can Panel Data Really Improve the Predictability of the Monetary Exchange Rate Model? |
0 |
0 |
0 |
99 |
1 |
9 |
10 |
323 |
| Cross sectional averages or principal components? |
0 |
0 |
0 |
143 |
1 |
5 |
10 |
287 |
| Difference-in-Differences via Common Correlated Effects |
0 |
2 |
3 |
45 |
3 |
14 |
19 |
45 |
| Do oil prices predict economic growth? New global evidence |
0 |
0 |
0 |
38 |
1 |
4 |
7 |
121 |
| Does cash flow predict returns? |
0 |
0 |
0 |
28 |
0 |
26 |
28 |
85 |
| Does the choice of estimator matter when forecasting returns? |
0 |
0 |
0 |
50 |
2 |
8 |
11 |
140 |
| Essays in Honor of Professor Badi H Baltagi: Editorial |
0 |
0 |
1 |
10 |
8 |
13 |
18 |
55 |
| Estimation of Factor-Augmented Panel Regressions with Weakly Influential Factors |
0 |
0 |
0 |
56 |
1 |
4 |
5 |
144 |
| Estimation of Panel Data Models with Interactive Effects and Multiple Structural Breaks When T Is Fixed |
0 |
0 |
0 |
66 |
0 |
4 |
7 |
54 |
| Feasible Estimation in Cointegrated Panels |
0 |
0 |
0 |
49 |
2 |
4 |
7 |
267 |
| GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels |
0 |
0 |
0 |
109 |
1 |
7 |
7 |
195 |
| Heteroskedasticity robust panel unit root tests |
0 |
0 |
0 |
16 |
1 |
8 |
9 |
82 |
| Interactive Effects Panel Data Models with General Factors and Regressors |
0 |
0 |
0 |
11 |
3 |
4 |
7 |
21 |
| Interactive Effects Panel Data Models with General Factors and Regressors |
0 |
0 |
1 |
53 |
1 |
5 |
12 |
40 |
| Interactive-effects panel-data models with general factors and regressors |
0 |
0 |
2 |
8 |
0 |
3 |
10 |
21 |
| Is there Really a Unit Root in the Inflation Rate? More Evidence from Panel Data Models |
0 |
0 |
0 |
253 |
7 |
17 |
31 |
834 |
| Mixed Signals Among Tests for Panel Cointegration |
0 |
0 |
0 |
87 |
1 |
29 |
33 |
281 |
| Multiple Structural Breaks in Interactive Effects Panel Data and the Impact of Quantitative Easing on Bank Lending |
0 |
0 |
0 |
17 |
0 |
6 |
10 |
29 |
| Multiple Structural Breaks in Interactive Effects Panel Data and the Impact of Quantitative Easing on Bank Lending |
0 |
1 |
1 |
24 |
1 |
6 |
8 |
36 |
| Multiple structural breaks in interactive effects panel data and the impace of quantitative easing on bank lending |
0 |
1 |
2 |
29 |
3 |
12 |
27 |
86 |
| Myths and Facts about Panel Unit Root Tests |
0 |
0 |
1 |
186 |
1 |
4 |
7 |
256 |
| New Improved Tests for Cointegration with Structural Breaks |
0 |
0 |
0 |
100 |
3 |
21 |
25 |
893 |
| New Simple Tests for Panel Cointegration |
0 |
0 |
0 |
83 |
4 |
15 |
25 |
1,564 |
| Nonparametric Rank Tests for Non-stationary Panels |
0 |
0 |
0 |
163 |
3 |
10 |
11 |
357 |
| On the asymptotic distribution of the DF-GLS test statistic |
0 |
0 |
1 |
51 |
0 |
4 |
8 |
115 |
| On the importance of the first observation in GLS detrending in unit root testing |
0 |
0 |
0 |
57 |
1 |
4 |
5 |
56 |
| PANICCA - PANIC on Cross-Section Averages |
0 |
0 |
0 |
49 |
0 |
13 |
14 |
171 |
| Panel Cointegration Tests of the Fisher Hypothesis |
0 |
0 |
0 |
445 |
0 |
4 |
7 |
1,112 |
| Panel Cointegration Tests with Deterministic Trends and Structural Breaks |
0 |
1 |
1 |
327 |
0 |
1 |
5 |
660 |
| Panel Cointegration and the Monetary Exchange Rate Model |
0 |
0 |
0 |
177 |
4 |
11 |
14 |
355 |
| Panel Cointegration and the Neutrality of Money |
0 |
0 |
0 |
132 |
2 |
6 |
8 |
407 |
| Panel cointegration tests of the Fisher effect |
0 |
1 |
2 |
267 |
3 |
14 |
22 |
639 |
| Panel error correction testing with global stochastic trends |
0 |
0 |
1 |
256 |
0 |
5 |
8 |
586 |
| Pooled Unit Root Tests in Panels with a Common Factor |
0 |
0 |
0 |
163 |
0 |
4 |
9 |
421 |
| Pooled panel unit root tests and the effect of past initialization |
0 |
0 |
0 |
4 |
1 |
5 |
6 |
41 |
| Robust block bootstrap panel predictability tests |
0 |
0 |
0 |
108 |
1 |
5 |
8 |
176 |
| Seasonal Unit Root Tests for Trending and Breaking Series with Application to Industrial Production |
0 |
0 |
0 |
80 |
1 |
6 |
7 |
164 |
| Simple Difference-in-Differences Estimation in Fixed-T Panels |
0 |
2 |
4 |
17 |
1 |
5 |
13 |
44 |
| Simple Tests for Cointegration in Dependent Panels with Structural Breaks |
0 |
0 |
0 |
129 |
2 |
10 |
14 |
582 |
| Some cautions on the use of the LLC panel unit root test |
0 |
0 |
0 |
196 |
2 |
7 |
13 |
608 |
| Spurious Regression in Nonstationary Panels time Series with Cross-Member Cointegration |
0 |
0 |
0 |
2 |
1 |
3 |
3 |
10 |
| Spurious regression in nonstationary panels with cross-unit cointegration |
0 |
0 |
0 |
178 |
1 |
6 |
11 |
488 |
| Structural Breaks in Interactive Effects Panels and the Stock Market Reaction to COVID-19 |
0 |
0 |
0 |
25 |
0 |
1 |
7 |
53 |
| TESTING FACTORS IN CCE |
0 |
1 |
2 |
17 |
3 |
7 |
10 |
34 |
| Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata |
0 |
2 |
20 |
169 |
2 |
22 |
134 |
618 |
| Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata |
0 |
1 |
5 |
129 |
0 |
5 |
19 |
74 |
| Testing and estimating structural breaks in time series and panel data in Stata |
0 |
0 |
17 |
17 |
0 |
30 |
55 |
55 |
| Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data |
0 |
0 |
0 |
104 |
3 |
4 |
13 |
305 |
| Testing for Error Correction in Panel Data |
0 |
0 |
0 |
1,150 |
2 |
11 |
20 |
2,959 |
| Testing for Panel Cointegration with Multiple Structural Breaks |
0 |
0 |
0 |
76 |
1 |
4 |
9 |
1,290 |
| Testing for Unit Roots in Panel Time Series Models with Multiple Breaks |
0 |
0 |
0 |
135 |
0 |
4 |
6 |
261 |
| Testing for a Unit Root in a Random Coefficient Panel Data Model |
0 |
0 |
0 |
90 |
0 |
12 |
16 |
219 |
| Testing for error correction in panel data |
1 |
4 |
7 |
400 |
4 |
27 |
41 |
1,133 |
| Testing for predictability in conditionally heteroskedastic stock returns |
0 |
0 |
0 |
89 |
4 |
12 |
15 |
219 |
| Testing for predictability in panels of small time series dimensions with an application to Chinese stock returns |
0 |
0 |
0 |
77 |
0 |
3 |
4 |
96 |
| Testing for predictability in panels with general predictors |
0 |
0 |
0 |
23 |
0 |
4 |
7 |
60 |
| Testing for stock return predictability in a large Chinese panel |
0 |
0 |
0 |
1 |
0 |
1 |
5 |
34 |
| Testing slope homogeneity in large panels with serial correlation |
0 |
0 |
3 |
23 |
1 |
6 |
18 |
75 |
| The Factor Analytical Approach in Trending Near Unit Root Panels |
0 |
0 |
0 |
26 |
1 |
3 |
7 |
49 |
| The Present Value Model, Farmland Prices and Structural Breaks |
0 |
1 |
1 |
62 |
0 |
4 |
5 |
283 |
| The Tax-Spending Nexus: Evidence from a Panel of US State- Local Governments |
0 |
1 |
1 |
62 |
1 |
5 |
7 |
175 |
| The local power of the CADF and CIPS panel unit root tests |
0 |
0 |
1 |
148 |
0 |
6 |
13 |
312 |
| Using Panel Data to Construct Simple and Efficient Unit Root Tests in the Presence of GARCH |
0 |
0 |
0 |
90 |
1 |
5 |
6 |
188 |
| Why is Chinese Regional Output Diverging? |
0 |
0 |
0 |
53 |
0 |
4 |
5 |
151 |
| Total Working Papers |
1 |
21 |
95 |
8,356 |
98 |
583 |
1,027 |
24,713 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Factor Analytical Approach to Price Discovery |
0 |
0 |
0 |
1 |
1 |
7 |
12 |
42 |
| A Factor Analytical Approach to the Efficient Futures Market Hypothesis |
0 |
0 |
0 |
16 |
0 |
4 |
4 |
70 |
| A Factor‐Augmented New Keynesian Phillips Curve for the European Union Countries |
0 |
0 |
0 |
1 |
0 |
6 |
7 |
10 |
| A GARCH model for testing market efficiency |
0 |
0 |
1 |
79 |
1 |
12 |
26 |
313 |
| A NOTE ON THE POOLING OF INDIVIDUAL PANIC UNIT ROOT TESTS |
0 |
0 |
1 |
33 |
0 |
11 |
23 |
125 |
| A Panel CUSUM Test of the Null of Cointegration |
0 |
0 |
2 |
10 |
0 |
5 |
13 |
44 |
| A Random Coefficient Approach to the Predictability of Stock Returns in Panels |
0 |
0 |
0 |
12 |
2 |
6 |
7 |
79 |
| A Simple Test for Cointegration in Dependent Panels with Structural Breaks* |
0 |
1 |
9 |
195 |
5 |
18 |
45 |
506 |
| A computationally convenient unit root test with covariates, conditional heteroskedasticity and efficient detrending |
0 |
0 |
1 |
12 |
0 |
4 |
7 |
48 |
| A cross‐section average‐based principal components approach for fixed‐T panels |
0 |
0 |
0 |
2 |
0 |
5 |
7 |
29 |
| A modified LLC panel unit root test of the PPP hypothesis |
0 |
0 |
0 |
12 |
2 |
10 |
23 |
190 |
| A new poolability test for cointegrated panels |
0 |
0 |
0 |
36 |
0 |
6 |
8 |
124 |
| A note on the use of the LLC panel unit root test |
0 |
0 |
0 |
63 |
0 |
3 |
6 |
190 |
| A panel bootstrap cointegration test |
1 |
1 |
17 |
567 |
4 |
15 |
50 |
1,409 |
| A sequential purchasing power parity test for panels of large cross-sections and implications for investors |
0 |
0 |
2 |
4 |
0 |
0 |
3 |
23 |
| A simple test for nonstationarity in mixed panels with incidental trends |
0 |
0 |
0 |
5 |
0 |
10 |
12 |
42 |
| Alternative representations for cointegrated panels with global stochastic trends |
0 |
0 |
0 |
15 |
1 |
3 |
7 |
64 |
| An IV Test for a Unit Root in Generally Trending and Correlated Panels |
0 |
0 |
1 |
2 |
0 |
2 |
9 |
38 |
| Are Islamic stock returns predictable? A global perspective |
0 |
1 |
1 |
20 |
0 |
6 |
11 |
85 |
| Are state–local government expenditures converging? New evidence based on sequential unit root tests |
0 |
0 |
1 |
6 |
0 |
5 |
9 |
115 |
| Asymptotic collinearity in CCE estimation of interactive effects models |
0 |
0 |
1 |
9 |
2 |
5 |
10 |
62 |
| Breaks in persistence in fixed-T panel data |
0 |
0 |
1 |
5 |
1 |
3 |
6 |
17 |
| CCE estimation of factor‐augmented regression models with more factors than observables |
0 |
1 |
1 |
7 |
1 |
7 |
11 |
47 |
| CCE in fixed‐T panels |
0 |
0 |
0 |
19 |
1 |
2 |
6 |
59 |
| CCE in heterogenous fixed-T panels |
0 |
0 |
1 |
7 |
1 |
5 |
8 |
24 |
| CCE in panels with general unknown factors |
0 |
0 |
0 |
8 |
1 |
9 |
10 |
36 |
| CCE under nonrandom heterogeneity |
0 |
1 |
1 |
1 |
4 |
10 |
11 |
11 |
| Can panel data really improve the predictability of the monetary exchange rate model? |
0 |
0 |
0 |
40 |
0 |
2 |
4 |
163 |
| Class size and student evaluations in Sweden |
0 |
0 |
1 |
40 |
1 |
5 |
8 |
205 |
| Common Breaks in Means for Cross‐Correlated Fixed‐T Panel Data |
0 |
0 |
0 |
5 |
0 |
2 |
6 |
17 |
| Cross-sectional averages versus principal components |
0 |
1 |
3 |
122 |
2 |
11 |
18 |
324 |
| Data Dependent Endogeneity Correction in Cointegrated Panels |
0 |
0 |
0 |
76 |
0 |
6 |
8 |
210 |
| Do oil prices predict economic growth? New global evidence |
0 |
0 |
3 |
95 |
1 |
6 |
14 |
282 |
| Do order imbalances predict Chinese stock returns? New evidence from intraday data |
0 |
0 |
1 |
48 |
3 |
9 |
16 |
165 |
| Does cash flow predict returns? |
0 |
1 |
2 |
45 |
0 |
6 |
9 |
142 |
| Does the choice of estimator matter when forecasting returns? |
0 |
1 |
5 |
96 |
2 |
9 |
28 |
324 |
| Effects of rent dependency on quality of government |
0 |
0 |
0 |
19 |
1 |
6 |
11 |
127 |
| Efficient but getting wet feet: A not-entirely-frivolous note on the side-effects of growth-promoting institutions |
0 |
0 |
0 |
8 |
0 |
6 |
7 |
91 |
| Error Correction Testing in Panels with Common Stochastic Trends |
0 |
0 |
1 |
29 |
0 |
8 |
13 |
87 |
| Error-correction–based cointegration tests for panel data |
2 |
4 |
13 |
1,582 |
6 |
27 |
65 |
3,037 |
| Essays in honor of Professor Badi H Baltagi |
0 |
0 |
0 |
5 |
1 |
6 |
8 |
21 |
| Estimating Cointegrated Panels with Common Factors and the Forward Rate Unbiasedness Hypothesis |
0 |
0 |
0 |
23 |
0 |
4 |
6 |
53 |
| Estimating the Speed of Adjustment of Leverage in the Presence of Interactive Effects* |
0 |
0 |
0 |
6 |
0 |
3 |
9 |
22 |
| Estimating the gravity model without gravity using panel data |
0 |
1 |
2 |
100 |
0 |
9 |
19 |
270 |
| Estimation of Panel Data Models with Random Interactive Effects and Multiple Structural Breaks when T is Fixed |
0 |
0 |
1 |
8 |
0 |
4 |
10 |
27 |
| Estimation of factor-augmented panel regressions with weakly influential factors |
0 |
0 |
1 |
7 |
1 |
4 |
8 |
38 |
| Farmland prices, structural breaks and panel data |
0 |
0 |
0 |
64 |
1 |
4 |
6 |
149 |
| Financial systems and mechanisms of growth in different conditions of country risk |
0 |
0 |
0 |
20 |
0 |
4 |
5 |
86 |
| Fiscal stringency and fiscal sustainability: Panel evidence from the American state and local governments |
0 |
0 |
1 |
68 |
2 |
4 |
11 |
340 |
| Fixed effects demeaning in the presence of interactive effects in treatment effects regressions and elsewhere |
0 |
1 |
1 |
14 |
1 |
7 |
13 |
50 |
| Forecasting using cross-section average–augmented time series regressions |
0 |
0 |
0 |
2 |
0 |
6 |
9 |
15 |
| Heteroscedasticity Robust Panel Unit Root Tests |
0 |
0 |
0 |
9 |
1 |
4 |
9 |
66 |
| Indirect Estimation of Semiparametric Binary Choice Models |
0 |
0 |
1 |
3 |
0 |
9 |
11 |
39 |
| Is there really a unit root in the inflation rate? More evidence from panel data models |
0 |
0 |
0 |
14 |
2 |
7 |
8 |
69 |
| Islamic spot and index futures markets: Where is the price discovery? |
0 |
0 |
0 |
6 |
2 |
4 |
8 |
63 |
| Lag truncation and the local asymptotic distribution of the ADF test for a unit root |
0 |
0 |
0 |
2 |
0 |
3 |
6 |
34 |
| Least Squares Asymptotics in Spurious and Cointegrated Panel Regressions with Common and Idiosyncratic Stochastic Trends |
0 |
0 |
0 |
0 |
1 |
8 |
10 |
87 |
| Lessons from a Decade of IPS and LLC |
0 |
0 |
0 |
57 |
0 |
4 |
6 |
210 |
| Mixed signals among tests for panel cointegration |
0 |
0 |
1 |
21 |
6 |
15 |
21 |
136 |
| Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi-squared and Normal Limiting Distributions |
0 |
1 |
2 |
18 |
0 |
2 |
7 |
59 |
| Multiple Structural Breaks in Interactive Effects Panel Data Models |
1 |
4 |
8 |
8 |
4 |
17 |
38 |
41 |
| New Improved Tests for Cointegration with Structural Breaks |
0 |
0 |
0 |
196 |
0 |
6 |
9 |
403 |
| New Simple Tests for Panel Cointegration |
0 |
2 |
12 |
302 |
1 |
16 |
45 |
687 |
| New tools for understanding the local asymptotic power of panel unit root tests |
0 |
0 |
0 |
10 |
2 |
6 |
12 |
70 |
| Nonparametric rank tests for non-stationary panels |
1 |
1 |
3 |
40 |
2 |
5 |
12 |
156 |
| On CCE estimation of factor-augmented models when regressors are not linear in the factors |
0 |
0 |
1 |
8 |
3 |
8 |
13 |
50 |
| On Estimation and Inference in Heterogeneous Panel Regressions with Interactive Effects |
0 |
0 |
0 |
6 |
0 |
5 |
6 |
22 |
| On the Importance of the First Observation in GLS Detrending in Unit Root Testing |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
44 |
| On the Use of GLS Demeaning in Panel Unit Root Testing |
0 |
0 |
0 |
3 |
0 |
4 |
6 |
30 |
| On the choice of test for a unit root when the errors are conditionally heteroskedastic |
0 |
0 |
0 |
2 |
0 |
4 |
6 |
27 |
| On the determination of the number of factors using information criteria with data-driven penalty |
0 |
0 |
0 |
7 |
0 |
5 |
8 |
33 |
| On the estimation and inference in factor-augmented panel regressions with correlated loadings |
0 |
0 |
1 |
56 |
0 |
1 |
8 |
186 |
| On the estimation and testing of predictive panel regressions |
0 |
0 |
0 |
9 |
1 |
3 |
6 |
45 |
| On the implementation and use of factor-augmented regressions in panel data |
0 |
0 |
0 |
27 |
0 |
1 |
3 |
105 |
| On the robustness of the pooled CCE estimator |
0 |
1 |
2 |
12 |
0 |
6 |
8 |
39 |
| On the role of the rank condition in CCE estimation of factor-augmented panel regressions |
0 |
0 |
4 |
26 |
1 |
3 |
9 |
89 |
| On the use of panel cointegration tests in energy economics |
2 |
2 |
3 |
56 |
2 |
7 |
12 |
188 |
| Optimal panel unit root testing with covariates |
0 |
0 |
0 |
5 |
1 |
7 |
8 |
33 |
| PANIC in the Presence of Uncertainty about the Deterministic Trend |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
36 |
| Panel bootstrap tests of slope homogeneity |
1 |
2 |
3 |
28 |
2 |
16 |
26 |
123 |
| Panel cointegration and the monetary exchange rate model |
0 |
1 |
1 |
187 |
1 |
6 |
11 |
431 |
| Panel cointegration and the neutrality of money |
0 |
0 |
1 |
107 |
0 |
4 |
12 |
283 |
| Panel cointegration tests of the Fisher effect |
1 |
2 |
6 |
579 |
8 |
18 |
44 |
1,384 |
| Panel cointegration tests of the sustainability hypothesis in rich OECD countries |
0 |
0 |
0 |
60 |
3 |
6 |
7 |
246 |
| Panel data measures of price discovery |
0 |
0 |
0 |
1 |
0 |
3 |
4 |
10 |
| Panel evidence on the ability of oil returns to predict stock returns in the G7 area |
0 |
0 |
0 |
21 |
1 |
5 |
8 |
92 |
| Panel multi-predictor test procedures with an application to emerging market sovereign risk |
0 |
0 |
0 |
6 |
4 |
9 |
10 |
54 |
| Panel stationary tests against changes in persistence |
0 |
0 |
1 |
2 |
1 |
6 |
9 |
24 |
| Panel versus GARCH information in unit root testing with an application to financial markets |
0 |
0 |
0 |
16 |
2 |
8 |
12 |
62 |
| Panicca: Panic on Cross‐Section Averages |
0 |
1 |
2 |
36 |
1 |
7 |
16 |
96 |
| Pooled Panel Unit Root Tests and the Effect of Past Initialization |
0 |
0 |
0 |
0 |
0 |
2 |
5 |
24 |
| Price discovery and asset pricing |
0 |
0 |
1 |
20 |
0 |
2 |
7 |
94 |
| Reducing the size distortions of the panel LM Test for cointegration |
0 |
0 |
2 |
17 |
1 |
3 |
6 |
64 |
| Rethinking the Univariate Approach to Panel Unit Root Testing: Using Covariates to Resolve the Incidental Trend Problem |
0 |
0 |
0 |
6 |
0 |
3 |
3 |
70 |
| Robust block bootstrap panel predictability tests |
0 |
0 |
0 |
1 |
1 |
4 |
4 |
11 |
| Simple unit root testing in generally trending data with an application to precious metal prices in Asia |
0 |
0 |
0 |
5 |
0 |
3 |
4 |
60 |
| Some preliminary evidence of price discovery in Islamic banks |
0 |
0 |
0 |
4 |
0 |
3 |
6 |
79 |
| Structural Breaks in Interactive Effects Panels and the Stock Market Reaction to COVID-19 |
0 |
0 |
10 |
19 |
2 |
8 |
42 |
71 |
| Subnational government tax revenue capacity and effort convergence: New evidence from sequential unit root tests |
0 |
0 |
2 |
23 |
3 |
10 |
16 |
160 |
| TESTING FOR UNIT ROOTS IN PANEL TIME-SERIES MODELS WITH MULTIPLE LEVEL BREAKS |
0 |
0 |
0 |
7 |
0 |
2 |
3 |
39 |
| Testing additive versus interactive effects in fixed-T panels |
0 |
0 |
2 |
12 |
1 |
3 |
10 |
73 |
| Testing and estimating structural breaks in time series and panel data in Stata |
2 |
3 |
9 |
9 |
5 |
14 |
32 |
32 |
| Testing factors in CCE |
1 |
2 |
3 |
4 |
1 |
7 |
11 |
13 |
| Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data |
0 |
0 |
1 |
76 |
0 |
4 |
9 |
237 |
| Testing for Error Correction in Panel Data* |
8 |
25 |
66 |
985 |
21 |
76 |
210 |
2,308 |
| Testing for Panel Cointegration with Multiple Structural Breaks* |
0 |
0 |
0 |
477 |
1 |
4 |
8 |
1,051 |
| Testing for Predictability in Conditionally Heteroskedastic Stock Returns |
0 |
0 |
1 |
104 |
0 |
8 |
16 |
378 |
| Testing for Predictability in panels with General Predictors |
0 |
0 |
0 |
9 |
1 |
5 |
8 |
38 |
| Testing for a unit root in a random coefficient panel data model |
0 |
0 |
0 |
18 |
0 |
5 |
11 |
128 |
| Testing for panel cointegration with a level break |
0 |
0 |
0 |
77 |
0 |
6 |
11 |
204 |
| Testing for predictability in panels of any time series dimension |
0 |
0 |
0 |
5 |
0 |
3 |
6 |
47 |
| Testing for stock return predictability in a large Chinese panel |
1 |
1 |
3 |
21 |
3 |
12 |
17 |
105 |
| Testing slope homogeneity in large panels with serial correlation |
2 |
7 |
27 |
146 |
8 |
27 |
113 |
527 |
| Testing the Efficient Market Hypothesis in Conditionally Heteroskedastic Futures Markets |
0 |
0 |
0 |
32 |
2 |
9 |
9 |
217 |
| Tests of Equal Forecasting Accuracy for Nested Models with Estimated CCE Factors* |
0 |
0 |
0 |
1 |
1 |
4 |
5 |
8 |
| The Local Power of the CADF and CIPS Panel Unit Root Tests |
0 |
0 |
0 |
24 |
3 |
10 |
16 |
118 |
| The effect of recursive detrending on panel unit root tests |
0 |
0 |
0 |
17 |
1 |
7 |
14 |
87 |
| The factor analytical approach in near unit root interactive effects panels |
0 |
0 |
1 |
4 |
1 |
3 |
5 |
15 |
| The factor analytical approach in trending near unit root panels |
0 |
0 |
0 |
2 |
4 |
5 |
5 |
10 |
| The factor analytical method for interactive effects dynamic panel models with moving average errors |
0 |
1 |
1 |
3 |
1 |
3 |
6 |
24 |
| The power of PANIC |
0 |
0 |
1 |
37 |
0 |
2 |
7 |
127 |
| The tax-spending nexus: Evidence from a panel of US state-local governments |
0 |
0 |
3 |
63 |
4 |
12 |
20 |
239 |
| Unit Root Inference in Generally Trending and Cross-Correlated Fixed-T Panels |
0 |
0 |
0 |
4 |
2 |
6 |
8 |
28 |
| Using Panel Data to Test for Fiscal Sustainability within the European Union |
0 |
0 |
0 |
110 |
1 |
8 |
11 |
304 |
| Using information criteria to select averages in CCE |
0 |
1 |
2 |
2 |
1 |
7 |
11 |
12 |
| Why is Chinese provincial output diverging? |
0 |
0 |
0 |
39 |
0 |
5 |
6 |
198 |
| Total Journal Articles |
23 |
71 |
263 |
8,008 |
170 |
881 |
1,799 |
23,099 |