I propose a method that aims to learn if and how the effects of predictors depend on moderating variables. The algorithm presented is based on the two-stage cumulative logit mixed model and it builds piecewise constant fixed coefficient functions. Moreover, it is scalable for many moderators of possibly mixed scales, integrates interactions between moderators and can handle nonlinearities. The ...

This paper investigates the relationship between R&D stock and productivity growth, while taking into account the effect of spatial spillovers. We propose a homogeneous dynamic panel data model and three heterogeneous dynamic panel data models to consider the individual effect as well as endogenous. We also distinguish between the estimated long-run and short-run results. Our results indicate t...

This paper examines whether foreign aid, together with other economic, social and environmental factors, contributes to sustainable development. It starts with a theoretical model where sustainable development is modelled as a different kind of growth that protects the environment. Using factor analysis and newly developed estimation methods for a dynamic panel data model with endogenous regres...

This paper examines the asymptotics of the QMLE for unit root spatial dynamic panel data models with …xed e¤ects. When the exogenous variables or …xed e¤ects are included in the DGP, the estimate for the dynamic coe¢ cient is p nT 3 consistent and the estimates of other parameters are p nT consistent, and all of them are asymptotically normal. Also, sum of the contemporaneous spatial e¤ect and ...

This paper compares neural network models with the standard logit and probit models, the most widely used choice/classi cation models in current empirical research, and explores the application of neural network models in analyzing political choice/classi cation problems. Political relationships are usually nonlinear and of unknown functional forms, and political data are likely noisy. The logi...

This paper investigates whether the India-Sri Lanka Free Trade Agreement (ISLFTA) has had trade creation or trade diversion effects on the rest of the World. The method used resembles the one used by Romalis (2005) to study NAFTA. In order to use the variations in tariff at the product level, we use six digit HS classification of products. We construct seven panel data sets for the period 1996 ...

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...

breast cancer is a malignant tumor and the most common cancer among american women that starts from cells of the breast. the growth of the size of data exceeds the ability of humans to analyze the data. so we need some intelligent machines that can analyze datasets intelligently for us. we propose a multi nominal logit model to evaluate correlation between risk factors of breast tumor. our mode...

This paper extends the existing research on real estate investment trust (REIT) operating efficiencies. We estimate stochastic-frontier, panel-data models specifying a translog cost function. The specified model updates the cost frontier with new information as it becomes available over time. The model can identify frontier cost improvements, returns to scale, and cost inefficiencies over time....