13 citations · 20 across the 14 of their papers we have counts for
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Testing for Unobserved Heterogeneity in Censored Duration Models: EM Approach
Hiroyuki Kasahara, Hirokazu Matsuyama, Katsumi Shimotsu +1
Ignoring unobserved heterogeneity in duration models biases parameter estimates and invalidates inference, but testing for it is non-regular: the null hypothesis lies on the bounda…
Sequential Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity
Ertian Chen, Hiroyuki Kasahara, Katsumi Shimotsu
Unobserved heterogeneity is empirically central in dynamic discrete choice models but computationally costly to incorporate: estimation requires repeatedly solving fixed-point equa…
When Is GMM Actually LATE? Weighting Matrices and Causal Interpretation in Overidentified IV
Chun Pang Chow, Hiroyuki Kasahara
Under heterogeneous treatment effects, the weighting matrix of overidentified IV-GMM selects the estimand, not just its precision. We characterize the selection exactly: for any pa…
Identification and Estimation of Production Function and Consumer Demand Function under Monopolistic Competition from Revenue Data
Chun Pang Chow, Hiroyuki Kasahara, Yoichi Sugita
We establish nonparametric identification of production functions, total factor productivity (TFP), price markups, and firms' output prices and quantities, as well as consumer dema…
Event-Study Designs for Discrete Outcomes with Latent Transition Heterogeneity
Young Ahn, Hiroyuki Kasahara
We develop an identification strategy for average treatment effects on the treated (ATT) in panel data with discrete outcomes. For such outcomes, the parallel trends assumption und…
Identification and Estimation of Production Function with Unobserved Heterogeneity
Hiroyuki Kasahara, Paul Schrimpf, Michio Suzuki
This paper examines the nonparametric identifiability of production functions, considering firm heterogeneity beyond Hicks-neutral technology terms. We propose a finite mixture mod…
Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data
Yu Hao, Hiroyuki Kasahara
This paper develops the likelihood ratio-based test of the null hypothesis of a M0-component model against an alternative of (M0 + 1)-component model in the normal mixture panel re…
Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data
Hiroyuki Kasahara, Yoichi Sugita
Commonly used methods of production function and markup estimation assume that a firm's output quantity can be observed as data, but typical datasets contain only revenue, not outp…
Identification of Regression Models with a Misclassified and Endogenous Binary Regressor
Hiroyuki Kasahara, Katsumi Shimotsu
We study identification in nonparametric regression models with a misclassified and endogenous binary regressor when an instrument is correlated with misclassification error. We sh…
Testing the Number of Regimes in Markov Regime Switching Models
Hiroyuki Kasahara, Katsumi Shimotsu
Markov regime switching models have been used in numerous empirical studies in economics and finance. However, the asymptotic distribution of the likelihood ratio test statistic fo…