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Helmut Lütkepohl

Global rank #490 99%

Institution: DIW Berlin (Deutsches Institut für Wirtschaftsforschung)

Primary Field: Econometrics (weighted toward more recent publications)

Homepage: http://www.wiwiss.fu-berlin.de/fachbereich/vwl/luetkepohl/index.html

First Publication: 1981

Most Recent: 2025

RePEc ID: plt2 ↗

Publication Scores

Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.01: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).

Period S (4x) A (2x) B (1x) C (½x) Total
Last 5 Years 0.00 1.68 4.52 0.00 8.38
Last 10 Years 0.00 2.35 9.55 0.00 16.25
All Time 0.00 26.48 30.00 0.00 91.49

Publication Statistics

Raw Publications 64
Coauthorship-Adjusted Count 73.88

Publications (64)

Year Article Journal Tier Authors
2025 Comparing external and internal instruments for vector autoregressions Journal of Economic Dynamics and Control B 2
2025 Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis Journal of Business & Economic Statistics A 3
2024 Heteroskedastic proxy vector autoregressions: An identification-robust test for time-varying impulse responses in the presence of multiple proxies Journal of Economic Dynamics and Control B 2
2023 Have the effects of shocks to oil price expectations changed? Economics Letters C 2
2022 Comparison of local projection estimators for proxy vector autoregressions Journal of Economic Dynamics and Control B 2
2022 Heteroscedastic Proxy Vector Autoregressions Journal of Business & Economic Statistics A 2
2021 Qualitative versus quantitative external information for proxy vector autoregressive analysis Journal of Economic Dynamics and Control B 2
2021 Testing identification via heteroskedasticity in structural vector autoregressive models The Econometrics Journal B 4
2020 Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity Journal of Economic Dynamics and Control B 2
2020 Structural vector autoregressive models with more shocks than variables identified via heteroskedasticity Economics Letters C 1
2020 Inference in partially identified heteroskedastic simultaneous equations models Journal of Econometrics A 3
2019 Bootstrapping impulse responses of structural vector autoregressive models identified through GARCH Journal of Economic Dynamics and Control B 2
2018 Choosing Between Different Time‐Varying Volatility Models for Structural Vector Autoregressive Analysis Oxford Bulletin of Economics and Statistics B 2
2017 Structural vector autoregressions with smooth transition in variances Journal of Economic Dynamics and Control B 2
2016 STRUCTURAL VECTOR AUTOREGRESSIONS: CHECKING IDENTIFYING LONG-RUN RESTRICTIONS VIA HETEROSKEDASTICITY Journal of Economic Surveys C 2
2016 Testing for identification in SVAR-GARCH models Journal of Economic Dynamics and Control B 2
2015 Confidence Bands for Impulse Responses: Bonferroni vs. Wald Oxford Bulletin of Economics and Statistics B 3
2015 Comparison of methods for constructing joint confidence bands for impulse response functions International Journal of Forecasting B 3
2014 Structural vector autoregressions with Markov switching: Combining conventional with statistical identification of shocks Journal of Econometrics A 2
2014 DISENTANGLING DEMAND AND SUPPLY SHOCKS IN THE CRUDE OIL MARKET: HOW TO CHECK SIGN RESTRICTIONS IN STRUCTURAL VARS Journal of Applied Econometrics B 2
2013 Forecasting contemporaneous aggregates with stochastic aggregation weights International Journal of Forecasting B 2
2013 Does the Box–Cox transformation help in forecasting macroeconomic time series? International Journal of Forecasting B 2
2011 Forecasting levels of log variables in vector autoregressions International Journal of Forecasting B 2
2010 Structural vector autoregressions with Markov switching Journal of Economic Dynamics and Control B 3
2008 Identifying Monetary Policy Shocks via Changes in Volatility Journal of Money, Credit, and Banking B 2
2008 Problems related to over-identifying restrictions for structural vector error correction models Economics Letters C 1
2007 General-to-specific or specific-to-general modelling? An opinion on current econometric terminology Journal of Econometrics A 1
2006 Residual autocorrelation testing for vector error correction models Journal of Econometrics A 3
2006 BREAK DATE ESTIMATION FOR VAR PROCESSES WITH LEVEL SHIFT WITH AN APPLICATION TO COINTEGRATION TESTING Econometric Theory B 3
2006 A small monetary system for the euro area based on German data Journal of Applied Econometrics B 2
2005 Practical Problems with Reduced‐rank ML Estimators for Cointegration Parameters and a Simple Alternative Oxford Bulletin of Economics and Statistics B 2
2005 A NOTE ON TESTING RESTRICTIONS FOR THE COINTEGRATION PARAMETERS OF A VAR WITH I(2) VARIABLES Econometric Theory B 2
2004 On unit root tests in the presence of transitional growth Economics Letters C 2
2003 Test Procedures for Unit Roots in Time Series with Level Shifts at Unknown Time Oxford Bulletin of Economics and Statistics B 3
2003 Comparison of tests for the cointegrating rank of a VAR process with a structural shift Journal of Econometrics A 3
2002 Unit root tests for time series with level shifts: a comparison of different proposals Economics Letters C 2
2002 TESTING FOR A UNIT ROOT IN A TIME SERIES WITH A LEVEL SHIFT AT UNKNOWN TIME Econometric Theory B 2
2001 On the reliability of Chow-type tests for parameter constancy in multivariate dynamic models Economics Letters C 2
2001 Comment on essays on current state and future challenges of econometrics Journal of Econometrics A 1
2000 TESTING FOR THE COINTEGRATING RANK OF A VAR PROCESS WITH AN INTERCEPT Econometric Theory B 2
2000 Testing for the cointegrating rank of a VAR process with a time trend Journal of Econometrics A 2
1999 LOCAL POWER OF LIKELIHOOD RATIO TESTS FOR THE COINTEGRATING RANK OF A VAR PROCESS Econometric Theory B 2
1999 A lag augmentation test for the cointegrating rank of a VAR process Economics Letters C 2
1998 Modeling The Demand For M3 In The Unified Germany Review of Economics and Statistics A 3
1997 Modified Wald tests under nonregular conditions Journal of Econometrics A 2
1997 Analysis of cointegrated VARMA processes Journal of Econometrics A 2
1997 Nonparametric dynamic modelling Journal of Econometrics A 1
1997 Impulse response analysis in infinite order cointegrated vector autoregressive processes Journal of Econometrics A 2
1996 Testing for Causation Using Infinite Order Vector Autoregressive Processes Econometric Theory B 2
1996 Infinite-Order Cointegrated Vector Autoregressive Processes Econometric Theory B 2
1996 Specification of varying coefficient time series models via generalized flexible least squares Journal of Econometrics A 2
1992 Impulse response analysis of cointegrated systems Journal of Economic Dynamics and Control B 2
1992 Granger-causality in cointegrated VAR processes The case of the term structure Economics Letters C 2
1991 Estimating Orthogonal Impulse Responses via Vector Autoregressive Models Econometric Theory B 2
1990 Asymptotic Distributions of Impulse Response Functions and Forecast Error Variance Decompositions of Vector Autoregressive Models. Review of Economics and Statistics A 1
1989 A note on the asymptotic distribution of impulse response functions of estimated var models with orthogonal residuals Journal of Econometrics A 1
1988 Asymptotic Distribution of the Moving Average Coefficients of an Estimated Vector Autoregressive Process Econometric Theory B 1
1988 Prediction tests for structural stability Journal of Econometrics A 1
1985 The joint asymptotic distribution of multistep prediction errors of estimated vector autoregressions Economics Letters C 1
1984 Linear aggregation of vector autoregressive moving average processes Economics Letters C 1
1984 Linear transformations of vector ARMA processes Journal of Econometrics A 1
1983 Non-linear least squares estimation under non-linear equality constraints Economics Letters C 1
1982 Non-causality due to omitted variables Journal of Econometrics A 1
1981 A model for non-negative and non-positive distributed lag functions Journal of Econometrics A 1