Works matching IS 03777332 AND DT 2023 AND VI 64 AND IP 6
Results: 26
Simultaneity in binary outcome models with an application to employment for couples.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3197, doi. 10.1007/s00181-023-02417-7
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Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2661, doi. 10.1007/s00181-023-02414-w
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Indirect inference estimation of stochastic production frontier models with skew-normal noise.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2771, doi. 10.1007/s00181-023-02412-y
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Generalized kernel regularized least squares estimator with parametric error covariance.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3059, doi. 10.1007/s00181-023-02411-z
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Predicting binary outcomes based on the pair-copula construction.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3089, doi. 10.1007/s00181-023-02418-6
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Introduction.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2467, doi. 10.1007/s00181-023-02438-2
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Refined GMM estimators for simultaneous equations models with network interactions.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2535, doi. 10.1007/s00181-023-02408-8
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DS-HECK: double-lasso estimation of Heckman selection model.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3167, doi. 10.1007/s00181-023-02406-w
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An alternative corrected ordinary least squares estimator for the stochastic frontier model.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2831, doi. 10.1007/s00181-023-02401-1
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Public subsidies and innovation: a doubly robust machine learning approach leveraging deep neural networks.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3121, doi. 10.1007/s00181-023-02398-7
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Identification and estimation of categorical random coefficient models.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2543, doi. 10.1007/s00181-023-02402-0
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Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2611, doi. 10.1007/s00181-023-02390-1
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Proportional incremental cost probability functions and their frontiers.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2721, doi. 10.1007/s00181-023-02386-x
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Likelihood-based inference for dynamic panel data models.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2859, doi. 10.1007/s00181-023-02375-0
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Unbiased estimation of the OLS covariance matrix when the errors are clustered.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2511, doi. 10.1007/s00181-023-02379-w
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Internal adjustment costs of firm-specific factors and the neoclassical theory of the firm.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2703, doi. 10.1007/s00181-023-02378-x
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Multivariate models of commodity futures markets: a dynamic copula approach.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3037, doi. 10.1007/s00181-023-02373-2
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Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2589, doi. 10.1007/s00181-023-02374-1
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- Article
Does climate change affect economic data?
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- Empirical Economics, 2023, v. 64, n. 6, p. 2939, doi. 10.1007/s00181-023-02363-4
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Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2911, doi. 10.1007/s00181-022-02357-8
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Information loss in volatility measurement with flat price trading.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2957, doi. 10.1007/s00181-022-02353-y
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Robust dynamic space–time panel data models using ε-contamination: an application to crop yields and climate change.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2475, doi. 10.1007/s00181-022-02348-9
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Forecasting in the presence of in-sample and out-of-sample breaks.
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- Empirical Economics, 2023, v. 64, n. 6, p. 3001, doi. 10.1007/s00181-022-02346-x
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Hotelling tubes, confidence bands and conformal inference.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2757, doi. 10.1007/s00181-022-02344-z
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The noise error component in stochastic frontier analysis.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2795, doi. 10.1007/s00181-022-02339-w
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A simple, robust test for choosing the level of fixed effects in linear panel data models.
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- Empirical Economics, 2023, v. 64, n. 6, p. 2683, doi. 10.1007/s00181-022-02337-y
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