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Ganugi, Piero; Grossi, Luigi; Ianulardo, Giancarlo - In: Bulletin of economic research 67 (2015) 2, pp. 146-165

Persistent link: https://www.econbiz.de/10011396469

Celebrating 40 years of panel data analysis : past, present and future

Sarafidis, Vasilis; Wansbeek, Tom - In: Journal of econometrics 220 (2021) 2, pp. 215-226

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A survey of preference estimation with unobserved choice set heterogeneity

Crawford, Gregory S.; Griffith, Rachel; Iaria, Alessandro - In: Journal of econometrics 222 (2021) 1,1, pp. 4-43

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Sufficient statistics for unobserved heterogeneity in structural dynamic logit models

Aguirregabiria, Victor; Gu, Jiaying; Luo, Yao - In: Journal of econometrics 223 (2021) 2, pp. 280-311

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Exploiting information from singletons in panel data analysis : a GMM approach

Bruno, Randolph; Magazzini, Laura; Stampini, Marco - In: Economics letters 186 (2020), pp. 1-4

Persistent link: https://www.econbiz.de/10012503722

Identification and estimation of time-varying nonseparable panel data models without stayers

Ishihara, Takuya - In: Journal of econometrics 215 (2020) 1, pp. 184-208

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Heterogeneity and state dependence in firms' access to credit : microevidence from the euro area

Angori, Gabriele; Aristei, David - 2020

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Unit root inference in generally trending and cross-correlated fixed-T panels

Robertson, Donald; Sarafidis, Vasilis; Westerlund, Joakim - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 3, pp. 493-504

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Testing the binomial fixed effects logit model : with an application to female labor supply

Winkelmann, Rainer; Xu, Lin - 2019 - Revised version

Regression models for proportions are frequently encountered in applied work. The conditional expectation function is bounded between 0 and 1 and therefore must be non-linear, requiring nonstandard panel data extensions. One possible approach is the binomial panel logit model with fixed effects...

Persistent link: https://www.econbiz.de/10012111398

Identification and estimation of semi‐parametric censored dynamic panel data models of short time periods

Hu, Yingyao; Shiu, Ji-Liang - In: The econometrics journal 21 (2018) 1, pp. 55-85

Persistent link: https://www.econbiz.de/10012166595