Journal of Econometrics

Papers
(The TQCC of Journal of Econometrics is 7. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Difference-in-differences with variation in treatment timing2482
Difference-in-Differences with multiple time periods2387
Estimating dynamic treatment effects in event studies with heterogeneous treatment effects1553
Doubly robust difference-in-differences estimators384
Design-based analysis in Difference-In-Differences settings with staggered adoption276
What’s trending in difference-in-differences? A synthesis of the recent econometrics literature275
Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S.268
Autoencoder asset pricing models209
Consumer panic in the COVID-19 pandemic139
Measuring news sentiment135
Identification and estimation of the SEIRD epidemic model for COVID-19123
Estimating latent asset-pricing factors107
Estimating the COVID-19 infection rate: Anatomy of an inference problem84
Testing the impossible: Identifying exclusion restrictions80
Cluster-robust inference: A guide to empirical practice78
Randomization inference for difference-in-differences with few treated clusters71
Inference in Structural Vector Autoregressions identified with an external instrument58
The term structure of equity and variance risk premia55
Can we measure inflation expectations using Twitter?55
Overlap in observational studies with high-dimensional covariates46
Reducing the state space dimension in a large TVP-VAR46
Maximum likelihood estimation for score-driven models45
Autoregressive models for matrix-valued time series43
Surveying business uncertainty43
Model averaging prediction by K-fold cross-validation42
Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure42
Nowcasting in a pandemic using non-parametric mixed frequency VARs40
Time series analysis of COVID-19 infection curve: A change-point perspective39
Illuminating economic growth39
Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-1938
High dimensional minimum variance portfolio estimation under statistical factor models34
Heterogeneous structural breaks in panel data models33
Nonlinear factor models for network and panel data33
Panel forecasts of country-level Covid-19 infections33
Smoothed quantile regression with large-scale inference31
Time-varying general dynamic factor models and the measurement of financial connectedness31
When will the Covid-19 pandemic peak?30
Inference in Bayesian Proxy-SVARs30
On the robustness of the pooled CCE estimator30
On LASSO for predictive regression30
On factor models with random missing: EM estimation, inference, and cross validation29
Two-way fixed effects and differences-in-differences estimators with several treatments29
Closed-form implied volatility surfaces for stochastic volatility models with jumps29
Regression discontinuity design with many thresholds29
Volatility analysis with realized GARCH-Itô models29
It ain’t where you’re from, it’s where you’re at: Hiring origins, firm heterogeneity, and wages28
Time-varying model averaging26
Tail risk and return predictability for the Japanese equity market25
Beliefs about public debt and the demand for government spending24
Identifying latent group structures in nonlinear panels24
On the unbiased asymptotic normality of quantile regression with fixed effects24
Econometric analysis of production networks with dominant units24
Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements23
Joint Bayesian inference about impulse responses in VAR models23
Nowcasting the output gap23
Labor market search, informality, and on-the-job human capital accumulation23
Liquidity and volatility in the U.S. Treasury market23
Estimation and inference of change points in high-dimensional factor models22
The drift burst hypothesis22
Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process22
Estimating and testing high dimensional factor models with multiple structural changes22
Generic results for establishing the asymptotic size of confidence sets and tests21
Multivariate leverage effects and realized semicovariance GARCH models21
Volatility estimation and jump detection for drift–diffusion processes21
Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with 21
A survey of preference estimation with unobserved choice set heterogeneity21
Dynamic spatial panel data models with common shocks21
Corrigendum to “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors” [J. Econometrics 212 (1) (2019) 137–154]21
Semiparametric model averaging prediction for dichotomous response20
High-frequency jump tests: Which test should we use?20
Covariate-adjusted Fisher randomization tests for the average treatment effect20
Probability assessments of an ice-free Arctic: Comparing statistical and climate model projections20
Uniform nonparametric inference for time series20
Robust Bayesian inference in proxy SVARs20
Bootstrapping factor models with cross sectional dependence20
Nowcasting with large Bayesian vector autoregressions19
Identification of structural vector autoregressions through higher unconditional moments19
Projected estimation for large-dimensional matrix factor models18
Testing continuity of a density via g-order statistics in the regression discontinuity design18
Celebrating 40 years of panel data analysis: Past, present and future18
Testing a large set of zero restrictions in regression models, with an application to mixed frequency Granger causality17
On the past, present, and future of the Diebold–Yilmaz approach to dynamic network connectedness17
Recursive estimation in large panel data models: Theory and practice17
Inference for high-dimensional instrumental variables regression17
Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables17
Factor models with local factors — Determining the number of relevant factors16
Max-linear regression models with regularization16
Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration16
Estimation of panel group structure models with structural breaks in group memberships and coefficients16
Boosting high dimensional predictive regressions with time varying parameters16
Estimation and inference in semiparametric quantile factor models16
Volatility of volatility: Estimation and tests based on noisy high frequency data with jumps16
Approximate factor models with weaker loadings16
Disentangling moral hazard and adverse selection in private health insurance16
Factor models with many assets: Strong factors, weak factors, and the two-pass procedure16
Instrument strength in IV estimation and inference: A guide to theory and practice16
Large dimensional latent factor modeling with missing observations and applications to causal inference16
GMM quantile regression16
Understanding migration aversion using elicited counterfactual choice probabilities15
Spatial dynamic panel data models with correlated random effects15
A coupled component DCS-EGARCH model for intraday and overnight volatility15
Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks15
Factor-based imputation of missing values and covariances in panel data of large dimensions15
Sparse HP filter: Finding kinks in the COVID-19 contact rate15
Tail and center rounding of probabilistic expectations in the Health and Retirement Study15
Effects of taxes and safety net pensions on life-cycle labor supply, savings and human capital: The case of Australia14
A projection-based conditional dependence measure with applications to high-dimensional undirected graphical models14
Predicting the VIX and the volatility risk premium: The role of short-run funding spreads Volatility Factors14
Statistical inferences for price staleness14
Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit14
An explainable attention network for fraud detection in claims management14
Bayesian MIDAS penalized regressions: Estimation, selection, and prediction14
Nonparametric estimation of large covariance matrices with conditional sparsity14
Limit theorems for network dependent random variables14
Testing for episodic predictability in stock returns14
Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty14
Incorporating overnight and intraday returns into multivariate GARCH volatility models13
Fast and accurate variational inference for models with many latent variables13
High-dimensional predictive regression in the presence of cointegration13
Nearest comoment estimation with unobserved factors13
Nonparametric difference-in-differences in repeated cross-sections with continuous treatments13
High-dimensional VARs with common factors13
Linear IV regression estimators for structural dynamic discrete choice models13
A doubly corrected robust variance estimator for linear GMM13
A GMM approach to estimate the roughness of stochastic volatility13
Stationary vine copula models for multivariate time series13
Identification of structural multivariate GARCH models13
Continuous record Laplace-based inference about the break date in structural change models12
Do firm effects drift? Evidence from Washington administrative data12
Estimation of heterogeneous panels with systematic slope variations12
Consistent inference for predictive regressions in persistent economic systems12
Estimation and inference in spatial models with dominant units12
Efficient estimation of multivariate semi-nonparametric GARCH filtered copula models12
ExpectHill estimation, extreme risk and heavy tails12
Maternal subjective expectations about the technology of skill formation predict investments in children one year later12
An empirical total survey error decomposition using data combination12
Nonstationary panel models with latent group structures and cross-section dependence11
Estimation of Covid-19 prevalence from serology tests: A partial identification approach11
Self-perceptions about academic achievement: Evidence from Mexico City11
Initial conditions and Blundell–Bond estimators11
Time varying Markov process with partially observed aggregate data: An application to coronavirus11
Simultaneous inference for time-varying models11
Macroeconomic uncertainty prices when beliefs are tenuous11
Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff11
Augmented factor models with applications to validating market risk factors and forecasting bond risk premia11
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management11
Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root11
Heterogeneous panel data models with cross-sectional dependence11
Treatment effects in interactive fixed effects models with a small number of time periods11
Incentives, search engines, and the elicitation of subjective beliefs: Evidence from representative online survey experiments10
Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity10
Identification in nonparametric models for dynamic treatment effects10
Impossible inference in econometrics: Theory and applications10
Panel threshold models with interactive fixed effects10
On improvability of model selection by model averaging10
Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models10
SVARs with occasionally-binding constraints10
Comparing stochastic volatility specifications for large Bayesian VARs10
Time-varying instrumental variable estimation10
Local regression distribution estimators10
A weighted sieve estimator for nonparametric time series models with nonstationary variables10
Global temperatures and greenhouse gases: A common features approach10
Heterogeneity in households’ stock market beliefs10
Estimation of a multiplicative correlation structure in the large dimensional case10
Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations9
Testing the existence of moments for GARCH processes9
Quantile regression methods for first-price auctions9
Parental beliefs about returns to child health investments9
Efficient size correct subset inference in homoskedastic linear instrumental variables regression9
PELVE: Probability Equivalent Level of VaR and ES9
Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure9
Robust likelihood estimation of dynamic panel data models9
Estimation and inference in heterogeneous spatial panels with a multifactor error structure9
Comment on “Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors”9
Semiparametric identification in panel data discrete response models9
Vehicle size choice and automobile externalities: A dynamic analysis9
Reflections on “Testing for unit roots in heterogeneous panels”9
Lasso inference for high-dimensional time series9
Spanning tests for Markowitz stochastic dominance9
Semiparametrically efficient estimation of the average linear regression function9
Community network auto-regression for high-dimensional time series9
An automated approach towards sparse single-equation cointegration modelling8
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models8
Identification and estimation of spillover effects in randomized experiments8
Asset selection based on high frequency Sharpe ratio8
Testing identification strength8
A Bayesian robust chi-squared test for testing simple hypotheses8
Nonlinearities and regimes in conditional correlations with different dynamics8
Testing underidentification in linear models, with applications to dynamic panel and asset pricing models8
Infinite Markov pooling of predictive distributions8
Testing and relaxing the exclusion restriction in the control function approach8
Spatial dynamic models with intertemporal optimization: Specification and estimation8
Volatility measurement with pockets of extreme return persistence8
Who should get vaccinated? Individualized allocation of vaccines over SIR network8
Simple and trustworthy cluster-robust GMM inference8
Firm pay dynamics8
Uncovering heterogeneous social effects in binary choices8
The role of heterogeneous risk preferences, discount rates, and earnings expectations in college major choice8
Optimal model averaging based on forward-validation8
Permutation test for heterogeneous treatment effects with a nuisance parameter8
Inference in ordered response games with complete information8
Parsimony inducing priors for large scale state–space models8
Integrated likelihood based inference for nonlinear panel data models with unobserved effects7
Quasi-maximum likelihood estimation of break point in high-dimensional factor models7
Simple tests for stock return predictability with good size and power properties7
Discrete mixtures of normals pseudo maximum likelihood estimators of structural vector autoregressions7
High frequency traders and the price process7
CRPS learning7
Control variables, discrete instruments, and identification of structural functions7
High-dimensional test for alpha in linear factor pricing models with sparse alternatives7
Profile GMM estimation of panel data models with interactive fixed effects7
The wisdom of the crowd and prediction markets7
Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence7
Testing for observation-dependent regime switching in mixture autoregressive models7
Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models7
A spatial panel quantile model with unobserved heterogeneity7
Posterior-based Wald-type statistics for hypothesis testing7
Factor investing: A Bayesian hierarchical approach7
Evaluating forecast performance with state dependence7
How should parameter estimation be tailored to the objective?7
A simple joint model for returns, volatility and volatility of volatility7
Relevant parameter changes in structural break models7
Dynamics and heterogeneity of subjective stock market expectations7
Quasi score-driven models7
A new robust inference for predictive quantile regression7
An integrated panel data approach to modelling economic growth7
Dynamic decisions under subjective expectations: A structural analysis7
Sparse spatio-temporal autoregressions by profiling and bagging7
Employer policies and the immigrant–native earnings gap7
Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models7
Semiparametric estimation of dynamic discrete choice models7
Policy evaluation during a pandemic7
Forward-selected panel data approach for program evaluation7
Dynamic factor copula models with estimated cluster assignments7
Time series estimation of the dynamic effects of disaster-type shocks7
Testing high-dimensional covariance matrices under the elliptical distribution and beyond7
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