Access Statistics for Koen Jochmans

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Working Paper File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
A Neyman-Orthogonalization Approach to The Incidental Parameter Problem 0 0 2 2 1 2 8 8
A Neyman-Orthogonalization Approach to the Incidental Parameter Problem 0 0 11 11 0 0 27 27
A Note on Sufficiency in Binary Panel Models 0 0 0 0 0 0 1 1
A Note on Sufficiency in Binary Panel Models 0 0 0 0 0 0 2 2
A Portmanteau Test for Correlation in Short Panels 0 0 0 7 0 1 2 44
A neyman-orthogonalization approach to the incidental parameter problem 0 0 0 0 0 0 1 1
A neyman-orthogonalization approach to the incidental parameter problem 0 0 0 0 1 1 1 1
A note on sufficiency in binary panel models 0 0 0 4 1 1 3 24
A note on sufficiency in binary panel models 0 0 0 9 0 0 0 15
A note on sufficiency in binary panel models 0 0 0 0 0 0 1 1
An Adjusted profile likelihood for non-stationary panel data models with fixed effects 0 0 0 15 0 0 1 58
An Adjusted profile likelihood for non-stationary panel data models with fixed effects 0 0 0 4 0 1 4 31
Bias In Instrumental-Variable Estimators Of Fixed-Effect Models For Count Data 0 0 0 15 0 0 1 12
Bias in instrumental-variable estimators of fixed-effect models for count data 0 0 0 1 1 1 5 8
Bias-corrected estimation of panel vector autoregressions 0 0 0 62 0 0 1 74
Bias-corrected estimation of panel vector autoregressions 0 0 0 11 0 0 1 33
Bias-corrected estimation of panel vector autoregressions 0 0 0 0 0 0 0 0
Bias-corrected estimation of panel vector autoregressions 0 0 0 48 0 0 1 62
Bias-corrected estimation of panel vector autoregressions 0 0 0 0 0 0 1 3
Bootstrap inference for fixed-effect models 0 0 0 0 1 1 4 10
Bootstrap inference for fixed-effect models 0 0 0 17 1 2 5 15
Bootstrap inference for fixed-effect models 0 0 0 2 1 1 1 9
Bootstrap inference for fixed-effect models 0 2 3 22 0 5 13 63
Estimating Multivariate Latent-Structure Models 0 0 0 0 1 1 2 3
Estimating Multivariate Latent-Structure Models 0 0 0 36 0 0 0 79
Estimating Multivariate Latent-Structure Models 0 0 0 16 0 0 1 67
Estimating Multivariate Latent-Structure Models 0 0 0 0 0 0 2 3
Estimating Multivariate Latent-Structure Models 0 0 0 2 0 0 0 21
Exponential regression models with two-way fixed effects: twexp and twgravity 0 0 1 35 1 3 5 128
First-differencing in panel data models with incidental functions 0 0 0 0 0 0 2 2
First-differencing in panel data models with incidental functions 0 0 0 0 0 0 1 22
First-differencing in panel data models with incidental functions 0 0 0 0 0 0 3 12
First-differencing in panel data models with incidental functions 0 0 0 6 0 0 3 68
Fixed-Effect Regressions on Network Data 0 0 0 43 1 1 2 106
Fixed-Effect Regressions on Network Data 0 0 0 60 1 2 4 165
Fixed-effect regressions on network data 0 0 0 0 0 0 2 3
Fixed-effect regressions on network data 0 0 0 19 0 1 2 54
Fixed-effect regressions on network data 0 0 0 12 2 2 2 40
Fixed-effect regressions on network data 0 0 0 6 2 2 3 19
Fixed-effect regressions on network data 0 0 0 27 0 0 3 44
Fixed-effect regressions on network data 0 0 1 1 0 0 5 6
Heteroskedasticity-Robust Inference in Linear Regression Models 0 0 1 45 0 1 3 56
Heteroskedasticity-Robust Inference in Linear Regression Models with Many Covariates 0 1 1 7 1 3 5 34
Identification Of Mixtures Of Dynamic Discrete Choices 0 0 0 27 0 0 0 18
Identification in Bivariate binary-choice Models with elliptical innovations 0 0 0 6 0 0 0 36
Identification in Bivariate binary-choice Models with elliptical innovations 0 0 0 0 0 0 0 12
Identification in Models for Matched Worker-Firm Data with Two-Sided Random Effects 3 6 6 6 2 8 8 8
Identification in Models for Matched Worker-Firm Data with Two-Sided Random Effects 0 0 0 0 0 1 1 1
Identification of mixtures of dynamic discrete choices 0 0 0 1 0 0 0 3
Inference On A Distribution From Noisy Draws 0 1 1 4 1 2 3 9
Inference in Dynamic Models for Panel Data Using The Moving Block Bootstrap 0 0 10 10 0 1 4 4
Inference in Dynamic Models for Panel Data Using The Moving Block Bootstrap 0 0 0 0 0 1 4 4
Inference in dynamic models for panel data using the moving block bootstrap 0 0 0 0 0 0 2 2
Inference on Mixtures Under Tail Restrictions 0 0 0 23 0 1 1 85
Inference on Mixtures Under Tail Restrictions 0 0 0 0 0 0 0 65
Inference on Mixtures Under Tail Restrictions 0 0 0 17 0 1 2 98
Inference on Two-Component Mixtures under Tail Restrictions 0 0 0 0 0 0 2 2
Inference on Two-Component Mixtures under Tail Restrictions 0 0 0 0 1 2 3 3
Inference on a Distribution from Noisy Draws 0 0 0 26 2 2 4 48
Inference on a distribution from noisy draws 0 0 0 0 0 0 1 2
Inference on a distribution from noisy draws 0 0 0 4 0 0 4 31
Inference on a distribution from noisy draws 0 0 0 2 0 0 2 23
Inference on a distribution from noisy draws 0 0 0 1 0 0 2 17
Inference on a distribution from noisy draws 0 0 0 6 0 0 1 29
Inference on two component mixtures under tail restrictions 0 0 0 12 0 0 0 9
Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations 0 1 1 12 1 3 3 11
Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations 0 1 2 31 3 4 8 49
Instrumental-Variable Estimation of Gravity Equations 0 1 5 131 3 7 18 409
Learning Markov Processes with Latent Variables 0 0 0 0 1 1 1 1
Learning Markov Processes with Latent Variables 0 0 0 16 0 2 3 11
Likelihood Corrections for Two-way Models 0 0 0 2 0 0 0 19
Likelihood Inference in an Autoregression with Fixed Effects 0 0 0 41 0 0 1 66
Likelihood Inference in an Autoregression with Fixed Effects 0 0 0 0 0 0 0 2
Likelihood corrections for two-way models 0 0 1 7 0 1 2 15
Likelihood corrections for two-way models 0 0 0 71 0 0 1 117
Likelihood inference in an Autoregression with fixed effects 0 0 0 1 0 0 1 29
Likelihood inference in an Autoregression with fixed effects 0 0 0 27 0 0 1 123
Likelihood inference in an Autoregression with fixed effects 0 0 0 0 1 1 1 3
Many (Weak) Judges in Judge-Leniency Designs 0 0 1 13 0 2 8 22
Modified-Likelihood Estimation of Fixed-Effect Models for Dyadic Data 0 0 0 42 0 0 0 41
Modified-likelihood estimation of fixed-effect models for dyadic data 0 0 1 8 0 0 1 5
Modified-likelihood estimation of the β-model 0 0 0 6 1 1 3 43
Modified-likelihood estimation of the β-model 0 0 0 2 0 0 1 6
Modified-likelihood estimation of the β-model 0 0 0 11 0 0 0 130
Multiplicative-error models with sample selection 0 0 0 25 0 0 1 59
Multiplicative-error models with sample selection 0 0 0 11 0 0 1 91
Multiplicative-error models with sample selection 0 0 0 0 1 1 2 3
Multiplicative-error models with sample selection 0 0 0 2 0 0 3 32
Multiplicative-error models with sample selection 0 0 0 0 0 0 1 10
Nonparametric Identification And Estimation of Stochastic Block Models From Many Small Networks” 0 0 0 15 0 0 2 11
Nonparametric Identification of Models for Dyadic Data 0 0 1 1 1 3 4 4
Nonparametric Identification of Models for Dyadic Data” 0 0 8 8 0 0 5 5
Nonparametric estimation of finite measures 0 0 0 0 0 0 1 1
Nonparametric estimation of finite measures 0 0 0 26 1 1 2 60
Nonparametric estimation of finite mixtures 0 0 0 3 0 0 0 39
Nonparametric estimation of finite mixtures 0 0 0 3 0 0 1 23
Nonparametric estimation of finite mixtures 0 0 0 37 0 0 0 100
Nonparametric estimation of finite mixtures from repeated measurements 0 0 0 0 0 0 1 3
Nonparametric estimation of finite mixtures from repeated measurements 0 0 0 0 2 2 2 2
Nonparametric estimation of non-exchangeable latent-variable models 0 0 0 0 0 0 0 2
Nonparametric estimation of non-exchangeable latent-variable models 0 0 0 0 0 0 1 2
Nonparametric identification and estimation of stochastic block models from many small networks 0 0 5 5 1 1 7 7
Nonparametric spectral-based estimation of latent structures 0 0 0 0 0 0 2 2
Nonparametric spectral-based estimation of latent structures 0 0 0 27 0 0 1 52
Pairwise-comparison estimation with non-parametric controls 0 0 0 0 0 0 1 3
Pairwise-comparison estimation with non-parametric controls 0 0 0 2 0 0 0 26
Pairwise-comparison estimation with nonparametric controls 0 0 1 2 1 1 3 21
Pairwise-comparison estimation with nonparametric controls 0 0 0 0 2 2 4 4
Pairwise-comparison estimation with nonparametric controls 0 0 0 13 0 0 1 74
Peer Effects and Endogenous Social Interactions 0 0 1 13 1 1 2 21
Peer effects and endogenous social interactions 0 0 0 13 0 1 4 25
Peer effects and endogenous social interactions 0 0 0 23 1 2 4 8
Profile-Score Adjustments for Incidental-Parameter Problems 0 1 1 37 0 1 5 60
Profile-score Adjustements for Nonlinearfixed-effect Models 0 0 0 1 0 0 1 26
Profile-score Adjustements for Nonlinearfixed-effect Models 0 0 0 11 0 0 2 46
Profile-score adjustments for incidental-parameter problems 0 0 0 14 0 0 1 60
Profile-score adjustments for incidental-parameter problems 0 0 0 0 0 1 2 2
Semiparametric Analysis of Network Formation 0 0 0 23 2 2 2 51
Semiparametric Analysis of Network Formation 0 0 0 0 0 0 0 3
Semiparametric Analysis of Network Formation 0 0 0 22 0 0 0 64
Split-Panel Jackknife Estimation of Fixed-Effect Models 0 0 1 5 0 0 3 58
Split-Panel Jackknife Estimation of Fixed-Effect Models 0 0 1 30 0 0 1 173
Split-Panel Jackknife Estimation of Fixed-Effect Models 0 0 0 67 0 0 2 203
Split-panel jackknife estimation of fixed-effect models 0 0 0 0 0 0 4 8
Split-panel jackknife estimation of fixed-effect models 0 2 4 7 0 3 8 16
Split-panel jackknife estimation of fixed-effect models 0 0 0 81 1 1 8 293
Split-panel jackknife estimation of fixed-effect models 0 0 0 0 0 0 6 22
Testing Correlation in Error-Component Models 0 0 0 14 0 0 0 22
Testing Random Assignment To Peer Groups 0 0 1 12 0 0 1 4
Testing Random Assignment To Peer Groups 0 0 0 6 0 1 1 15
Testing Random Assignment to Peer Groups 0 0 0 29 1 1 4 64
Testing for Correlation in Error-Component Models 0 0 0 11 1 1 1 41
The variance of a rank estimator of transformation models 0 0 0 0 0 0 1 28
The variance of a rank estimator of transformation models 0 0 0 0 0 0 2 3
The variance of a rank estimator of transformation models 0 0 0 0 0 0 2 2
The variance of a rank estimator of transformation models 0 0 0 2 0 0 4 28
Two-Way Models for Gravity 0 0 0 49 1 3 5 114
Two-Way Models for Gravity 0 0 0 0 0 1 4 7
Two-way models for gravity 0 0 0 0 1 1 4 4
Two-way models for gravity 0 0 0 111 1 2 5 203
Two-way models for gravity 0 0 0 10 0 1 4 55
twexp and twgravity: Estimating exponential regression models with two-way fixed effects 0 0 0 32 0 1 5 96
xtserialpm: A portmanteau test for serial correlation in a linear panel model 0 0 0 48 1 2 3 148
Total Working Papers 3 16 72 1,962 52 110 378 5,654
18 registered items for which data could not be found


Journal Article File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
A PORTMANTEAU TEST FOR CORRELATION IN SHORT PANELS 1 1 1 2 1 3 3 10
A note on sufficiency in binary panel models 0 0 0 3 0 0 3 21
A portmanteau test for serial correlation in a linear panel model 1 4 8 48 1 5 19 120
Bias in instrumental-variable estimators of fixed-effect models for count data 0 1 1 4 0 2 6 17
Bias-corrected estimation of panel vector autoregressions 0 0 1 16 0 2 4 66
Bootstrap Inference for Fixed‐Effect Models 0 2 3 3 1 4 8 8
First‐differencing in panel data models with incidental functions 0 0 0 1 0 0 2 33
Fitting exponential regression models with two-way fixed effects 0 0 0 12 0 0 0 50
Fixed‐Effect Regressions on Network Data 2 2 4 29 3 4 10 158
Heteroscedasticity-Robust Inference in Linear Regression Models With Many Covariates 0 0 0 1 0 0 3 7
INFERENCE ON A DISTRIBUTION FROM NOISY DRAWS 0 0 1 1 1 1 4 4
INFERENCE ON TWO-COMPONENT MIXTURES UNDER TAIL RESTRICTIONS 0 0 0 0 0 0 1 24
Identification of mixtures of dynamic discrete choices 0 0 0 0 0 0 2 7
Instrumental‐variable estimation of exponential‐regression models with two‐way fixed effects with an application to gravity equations 0 1 4 10 0 3 9 34
LIKELIHOOD INFERENCE IN AN AUTOREGRESSION WITH FIXED EFFECTS 0 0 0 10 0 0 0 37
Likelihood Corrections for Two-way Models 0 0 1 15 0 2 3 48
Modified-likelihood estimation of fixed-effect models for dyadic data 0 0 0 1 1 1 4 6
Multiplicative-error models with sample selection 0 0 0 9 0 1 2 57
Non-parametric estimation of finite mixtures from repeated measurements 0 0 0 3 0 0 0 20
Nonparametric estimation of non-exchangeable latent-variable models 0 0 0 11 2 4 4 67
Nonparametric identification and estimation of stochastic block models from many small networks 0 0 1 1 0 2 7 7
Pairwise‐comparison estimation with non‐parametric controls 0 0 0 6 0 0 2 45
Peer effects and endogenous social interactions 0 0 7 14 2 3 16 33
Semiparametric Analysis of Network Formation 0 0 1 13 3 3 7 55
Split-panel Jackknife Estimation of Fixed-effect Models 0 1 8 61 2 8 26 247
Testing for correlation in error‐component models 0 0 0 2 0 1 1 21
Testing random assignment to peer groups 0 0 0 3 1 2 6 16
The variance of a rank estimator of transformation models 0 0 0 14 0 0 3 64
Two-Way Models for Gravity 0 0 11 60 0 1 25 197
Total Journal Articles 4 12 52 353 18 52 180 1,479


Software Item File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
IVGRAVITY: Stata module containing method-of-moment IV estimators of exponential-regression models with two-way fixed effects from a cross-section of data on dyadic interactions and endogenous covariates 1 9 21 98 3 17 51 334
RASSIGN: Stata module to perform regression-based test for random assignment to peer groups 0 0 17 72 2 7 52 323
TWEXP: Stata module to estimate exponential-regression models with two-way fixed effects 0 2 3 38 3 6 15 335
TWGRAVITY: Stata module to estimate exponential-regression models with two-way fixed effects from a cross-section of data on dyadic interactions 0 0 1 29 1 1 10 220
XTSERIALPM: Stata module to perform a portmanteau test for serial correlation in panel data 1 2 5 116 5 8 36 615
Total Software Items 2 13 47 353 14 39 164 1,827


Statistics updated 2025-09-05