Journal of Econometrics

Papers
(The TQCC of Journal of Econometrics is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Difference-in-differences with variation in treatment timing2012
Difference-in-Differences with multiple time periods1891
Estimating dynamic treatment effects in event studies with heterogeneous treatment effects1256
Doubly robust difference-in-differences estimators320
Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S.259
Design-based analysis in Difference-In-Differences settings with staggered adoption235
Autoencoder asset pricing models190
What’s trending in difference-in-differences? A synthesis of the recent econometrics literature162
Consumer panic in the COVID-19 pandemic128
Identification and estimation of the SEIRD epidemic model for COVID-19118
Measuring news sentiment114
Estimating latent asset-pricing factors94
Estimating the COVID-19 infection rate: Anatomy of an inference problem80
Testing the impossible: Identifying exclusion restrictions69
Randomization inference for difference-in-differences with few treated clusters67
Cluster-robust inference: A guide to empirical practice58
The term structure of equity and variance risk premia50
Inference in Structural Vector Autoregressions identified with an external instrument48
Reducing the state space dimension in a large TVP-VAR44
Factor-adjusted regularized model selection43
Overlap in observational studies with high-dimensional covariates40
High-frequency factor models and regressions39
Autoregressive models for matrix-valued time series39
Maximum likelihood estimation for score-driven models39
Surveying business uncertainty38
Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-1936
Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure34
Nowcasting in a pandemic using non-parametric mixed frequency VARs34
Time series analysis of COVID-19 infection curve: A change-point perspective32
High dimensional minimum variance portfolio estimation under statistical factor models31
Panel forecasts of country-level Covid-19 infections31
Illuminating economic growth29
When will the Covid-19 pandemic peak?29
On the robustness of the pooled CCE estimator29
Nonlinear factor models for network and panel data28
Model averaging prediction by K-fold cross-validation28
Heterogeneous structural breaks in panel data models28
Smoothed quantile regression with large-scale inference27
Time-varying general dynamic factor models and the measurement of financial connectedness27
Regression discontinuity design with many thresholds26
On factor models with random missing: EM estimation, inference, and cross validation26
Volatility analysis with realized GARCH-Itô models26
Time-varying model averaging26
On LASSO for predictive regression26
Inference in Bayesian Proxy-SVARs25
Econometric analysis of production networks with dominant units24
Closed-form implied volatility surfaces for stochastic volatility models with jumps24
On the unbiased asymptotic normality of quantile regression with fixed effects24
Tail risk and return predictability for the Japanese equity market23
A robust procedure to build dynamic factor models with cluster structure23
Liquidity and volatility in the U.S. Treasury market22
Can we measure inflation expectations using Twitter?22
Double machine learning with gradient boosting and its application to the Big N audit quality effect21
Identifying latent group structures in nonlinear panels21
Labor market search, informality, and on-the-job human capital accumulation21
Multivariate leverage effects and realized semicovariance GARCH models20
Joint Bayesian inference about impulse responses in VAR models20
Uniform nonparametric inference for time series20
Generic results for establishing the asymptotic size of confidence sets and tests20
Nowcasting the output gap20
The drift burst hypothesis19
Probability assessments of an ice-free Arctic: Comparing statistical and climate model projections19
Multivariate spatial autoregressive model for large scale social networks19
Dynamic spatial panel data models with common shocks19
Corrigendum to “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors” [J. Econometrics 212 (1) (2019) 137–154]19
Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with 19
Bootstrapping factor models with cross sectional dependence19
Deviance information criterion for latent variable models and misspecified models18
High-frequency jump tests: Which test should we use?18
Dependent microstructure noise and integrated volatility estimation from high-frequency data18
Robust Bayesian inference in proxy SVARs18
Estimation and inference of change points in high-dimensional factor models18
Semiparametric model averaging prediction for dichotomous response18
Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements18
Estimating and testing high dimensional factor models with multiple structural changes18
Nowcasting with large Bayesian vector autoregressions18
Beliefs about public debt and the demand for government spending18
Identification and estimation in panel models with overspecified number of groups18
Celebrating 40 years of panel data analysis: Past, present and future17
Volatility estimation and jump detection for drift–diffusion processes17
Testing a large set of zero restrictions in regression models, with an application to mixed frequency Granger causality17
Covariate-adjusted Fisher randomization tests for the average treatment effect17
Efficient estimation of heterogeneous coefficients in panel data models with common shocks17
Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration16
Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process16
Inference for high-dimensional instrumental variables regression16
A survey of preference estimation with unobserved choice set heterogeneity16
Recursive estimation in large panel data models: Theory and practice16
Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables16
Boosting high dimensional predictive regressions with time varying parameters16
Two-way fixed effects and differences-in-differences estimators with several treatments16
Identification of structural vector autoregressions through higher unconditional moments15
Option market trading activity and the estimation of the pricing kernel: A Bayesian approach15
Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks15
Identifying dynamic discrete choice models off short panels15
Threshold factor models for high-dimensional time series15
Max-linear regression models with regularization15
Sparse HP filter: Finding kinks in the COVID-19 contact rate15
Estimating production functions with robustness against errors in the proxy variables15
Nonparametric estimation of large covariance matrices with conditional sparsity14
Disentangling moral hazard and adverse selection in private health insurance14
A coupled component DCS-EGARCH model for intraday and overnight volatility14
Tail and center rounding of probabilistic expectations in the Health and Retirement Study14
Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals14
Testing serial correlations in high-dimensional time series via extreme value theory14
Testing continuity of a density via g-order statistics in the regression discontinuity design14
Projected estimation for large-dimensional matrix factor models14
Estimating permanent price impact via machine learning14
Factor-based imputation of missing values and covariances in panel data of large dimensions13
Volatility of volatility: Estimation and tests based on noisy high frequency data with jumps13
Limit theorems for network dependent random variables13
An explainable attention network for fraud detection in claims management13
Predicting the VIX and the volatility risk premium: The role of short-run funding spreads Volatility Factors13
Spatial dynamic panel data models with correlated random effects13
Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit13
Estimation and inference in semiparametric quantile factor models13
Incorporating overnight and intraday returns into multivariate GARCH volatility models13
Instrument strength in IV estimation and inference: A guide to theory and practice13
A projection-based conditional dependence measure with applications to high-dimensional undirected graphical models13
Large dimensional latent factor modeling with missing observations and applications to causal inference13
Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty13
Factor models with local factors — Determining the number of relevant factors13
Factor models with many assets: Strong factors, weak factors, and the two-pass procedure13
GMM quantile regression13
Understanding migration aversion using elicited counterfactual choice probabilities13
Identification of structural multivariate GARCH models13
Statistical inferences for price staleness13
Estimation of panel group structure models with structural breaks in group memberships and coefficients12
ExpectHill estimation, extreme risk and heavy tails12
Testing for episodic predictability in stock returns12
Two-mode network autoregressive model for large-scale networks12
Consistent inference for predictive regressions in persistent economic systems12
High-dimensional predictive regression in the presence of cointegration12
Nearest comoment estimation with unobserved factors12
Simultaneous inference for time-varying models11
Heterogeneous panel data models with cross-sectional dependence11
The uniform validity of impulse response inference in autoregressions11
Maternal subjective expectations about the technology of skill formation predict investments in children one year later11
A doubly corrected robust variance estimator for linear GMM11
Noncausal vector AR processes with application to economic time series11
Macroeconomic uncertainty prices when beliefs are tenuous11
Bayesian MIDAS penalized regressions: Estimation, selection, and prediction11
Estimation of heterogeneous panels with systematic slope variations11
An empirical total survey error decomposition using data combination11
Estimation of Covid-19 prevalence from serology tests: A partial identification approach11
Stationary vine copula models for multivariate time series11
Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations11
Estimation and inference in spatial models with dominant units11
Time varying Markov process with partially observed aggregate data: An application to coronavirus11
Continuous record Laplace-based inference about the break date in structural change models10
Variance risk: A bird’s eye view10
Augmented factor models with applications to validating market risk factors and forecasting bond risk premia10
Effects of taxes and safety net pensions on life-cycle labor supply, savings and human capital: The case of Australia10
Efficient estimation of multivariate semi-nonparametric GARCH filtered copula models10
Fast and accurate variational inference for models with many latent variables10
Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff10
Time-varying instrumental variable estimation10
Estimation of a multiplicative correlation structure in the large dimensional case10
Incentives, search engines, and the elicitation of subjective beliefs: Evidence from representative online survey experiments10
On the past, present, and future of the Diebold–Yilmaz approach to dynamic network connectedness10
Nonstationary panel models with latent group structures and cross-section dependence10
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management10
Twisted probabilities, uncertainty, and prices9
On improvability of model selection by model averaging9
Comment on “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors”9
A GMM approach to estimate the roughness of stochastic volatility9
Self-perceptions about academic achievement: Evidence from Mexico City9
Impossible inference in econometrics: Theory and applications9
Semiparametrically efficient estimation of the average linear regression function9
Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root9
PELVE: Probability Equivalent Level of VaR and ES9
Robust likelihood estimation of dynamic panel data models9
Unobserved heterogeneity in auctions under restricted stochastic dominance9
Spanning tests for Markowitz stochastic dominance9
Semiparametric identification in panel data discrete response models9
Global temperatures and greenhouse gases: A common features approach9
Approximate factor models with weaker loadings8
Do firm effects drift? Evidence from Washington administrative data8
Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure8
Nonlinearities and regimes in conditional correlations with different dynamics8
Local regression distribution estimators8
Uncovering heterogeneous social effects in binary choices8
The role of heterogeneous risk preferences, discount rates, and earnings expectations in college major choice8
Spatial dynamic models with intertemporal optimization: Specification and estimation8
Identification in nonparametric models for dynamic treatment effects8
Linear IV regression estimators for structural dynamic discrete choice models8
Heterogeneity in households’ stock market beliefs8
Simple and trustworthy cluster-robust GMM inference8
Parental beliefs about returns to child health investments8
Efficient size correct subset inference in homoskedastic linear instrumental variables regression8
A weighted sieve estimator for nonparametric time series models with nonstationary variables8
Vehicle size choice and automobile externalities: A dynamic analysis8
Asset selection based on high frequency Sharpe ratio8
Treatment effects in interactive fixed effects models with a small number of time periods8
Volatility measurement with pockets of extreme return persistence8
Testing the existence of moments for GARCH processes8
Estimation and inference in heterogeneous spatial panels with a multifactor error structure8
Nonparametric difference-in-differences in repeated cross-sections with continuous treatments8
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models8
Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity8
Simple tests for stock return predictability with good size and power properties7
Control variables, discrete instruments, and identification of structural functions7
Testing and relaxing the exclusion restriction in the control function approach7
Reflections on “Testing for unit roots in heterogeneous panels”7
Forward-selected panel data approach for program evaluation7
Panel threshold models with interactive fixed effects7
Pairwise local Fisher and naive Bayes: Improving two standard discriminants7
High-dimensional VARs with common factors7
Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models7
The dynamic factor network model with an application to international trade7
Optimal model averaging based on forward-validation7
Testing identification strength7
Survey weighted estimating equation inference with nuisance functionals7
Parsimony inducing priors for large scale state–space models7
Counterfactual prediction in complete information games: Point prediction under partial identification7
High frequency traders and the price process7
It ain’t where you’re from, it’s where you’re at: Hiring origins, firm heterogeneity, and wages7
SVARs with occasionally-binding constraints7
High-dimensional test for alpha in linear factor pricing models with sparse alternatives7
Quantile regression methods for first-price auctions7
Testing for observation-dependent regime switching in mixture autoregressive models7
Testing underidentification in linear models, with applications to dynamic panel and asset pricing models7
Specification test on mixed logit models6
Identification and estimation of spillover effects in randomized experiments6
Stationary bubble equilibria in rational expectation models6
Factor investing: A Bayesian hierarchical approach6
Incentive-driven inattention6
Estimating multiple breaks in nonstationary autoregressive models6
Adjusted QMLE for the spatial autoregressive parameter6
A Bayesian robust chi-squared test for testing simple hypotheses6
Time series estimation of the dynamic effects of disaster-type shocks6
Posterior-based Wald-type statistics for hypothesis testing6
Infinite Markov pooling of predictive distributions6
Matching estimators with few treated and many control observations6
Semiparametric estimation of dynamic discrete choice models6
CRPS learning6
How should parameter estimation be tailored to the objective?6
Initial conditions and Blundell–Bond estimators6
Inference in ordered response games with complete information6
Testing high-dimensional covariance matrices under the elliptical distribution and beyond6
The wisdom of the crowd and prediction markets6
An automated approach towards sparse single-equation cointegration modelling6
Sparse spatio-temporal autoregressions by profiling and bagging6
Testing-optimal kernel choice in HAR inference6
Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models6
Bootstrap based probability forecasting in multiplicative error models6
Permutation test for heterogeneous treatment effects with a nuisance parameter6
Detection of units with pervasive effects in large panel data models6
Profile GMM estimation of panel data models with interactive fixed effects6
Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence6
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