نتایج جستجو برای: panel datajel classification
تعداد نتایج: 572510 فیلتر نتایج به سال:
In this paper I propose a computationally practical simulation estimator for large categories of the dynamic panel Tobit model with complicated dependence structures. I first apply the sequential decomposition methods introduced by Hendry and Richard (1992) to obtain the tractable simulated log-likelihood function of the dynamic panel Tobit model. I then maximize this log-likelihood function si...
Subsidies and Exports in Germany: First Evidence from Enterprise Panel Data We use newly available representative panel data for manufacturing enterprises in West and East Germany to investigate the link between production-related subsidies and exports. We document that only a small fraction of enterprises is subsidized, and that exports and subsidies are positively related. Using a matching ap...
The Rate of Return to Private Schooling This paper examines the relationship between “school quality” and earnings in the United Kingdom. The specific focus is on evaluating the effect that private schooling has on hourly wage rates. It is well known that private (i.e. fee-paying) schools compared to state schools score higher on most measures of school quality. Therefore by comparing individua...
We develop a stochastic frontier model with unknown locations and number of structural breaks for both efficiency and technology. The structural changes in technology and efficiency are different. It is possible to identify these two types of changes even under a short panel context. The algorithm to estimate the model is designed to avoid the potential pitfalls with panel data. Parallel comput...
This paper tries to explore the asymptotic properties of maximum likelihood estimators for spatial dynamic panel data with fixed effects when both the number of time periods T and number of individuals n are large. When n is proportional to T or T is relatively large, the estimator is √ nT consistent and asymptotically normal; when n is relatively large, the estimator is consistent with the rat...
The Rate of Return to Private Schooling This paper examines the relationship between “school quality” and earnings in the United Kingdom. The specific focus is on evaluating the effect that private schooling has on hourly wage rates. It is well known that private (i.e. fee-paying) schools compared to state schools score higher on most measures of school quality. Therefore by comparing individua...
We use panel probit models with unobserved heterogeneity and serially correlated errors in order to analyze the determinants and the dynamics of current-account reversals for a panel of developing and emerging countries. The likelihood evaluation of these models requires high-dimensional integration for which we use a generic procedure known as Efficient Importance Sampling (EIS). Our empirical...
In this paper, we estimate a health care demand function for 18 OECD countries for the period 1972-1995. We consider a demand side approach where health expenditure depend on per capita GDP and the relative price of health care. We use panel data unit root and stationarity tests to characterize our data. Then, we test cointegration between our variables with Kao[16] panel data cointegration tes...
Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context offers various opportunities to derive moment conditions that result in consistent GMM estimators. We consider three sources of moment conditions: (i) restrictions on the intertemporal covariance matrix of the errors in the equations, (ii) heteroskedasticity and nonlinearity in ...
This study tests the importance of Ricardian technology differences for international trade. The empirical analysis has three comparative advantages: including emerging and advanced economies, isolating panel variation regarding the link between productivity and exports, and exploiting heterogeneous technology diffusion from immigrant communities in the United States for identification. The lat...
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