Korean Abstract: 본 연구에서는 저출산 및 고령화 중심의 인구구조 변화가 한국경제의 재정에 미치는 영향을 분석하였다. 세입측면에서는 인구구조의 변화로 인한 생산가능인구의 감소가 조세수입에 미칠 영향을 DSGE 모형을...

The analysis of auctions is an active area of research for both theoretical and empirical economists. Concentrating on a particular auction format, namely the First--Price Sealed--Bid auction, this dissertation contributes to the analysis of auction both from a methodological viewpoint and from...

CHAPTER 1: Discrete Choice Models With Local Interactions: A Game Theoretical ApproachConsider observations from a single equilibrium of a local interaction game in which each player, a firm, has a finite number of actions (discrete choice) and is subject to interactions that are localfor...

It is unrealistic to conceive that economic variables or relationships follow a statistical law in which moments or parameters are kept constant over time. The focus of this dissertation is on model specification and testing of time series that are subject to gradual or sudden structural changes...

The economic decisions of rational agents can be analyzedby theoretical models and/or empirical models. This dissertationconsists of two different applications of empirical models on twodifferent economic conundrums, both based on theoretical hypotheses.The first chapter introduces the related...

This dissertation investigates the entry and exit dynamics on the local telephone market and the cable television markets. An important feature pertaining to the study of these markets is the large amount of capital investment in building local telephone networks or cable television system...

In this paper, we study the local polynomial composite quantile regression (CQR) smoothing method for the nonlinear and nonparametric models under the Harris recurrent Markov chain framework. The local polynomial CQR regression method is a robust alternative to the widely-used local polynomial...

Ultrahigh dimensional data with both categorical responses and categorical covariates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable statistical tool. We propose a Pearson chi-square based feature screening procedure for...

When the functional data are not homogeneous, e.g., there exist multiple classes of functional curves in the dataset, traditional estimation methods may fail. In this paper, we propose a new estimation procedure for the Mixture of Gaussian Processes, to incorporate both functional and...

Investigation of the characteristics and estimation of quantities of hidden and hard-to-access population are of interest to scientists. Such populations are difficult to target because of their elusive nature or other prohibitive characteristics. So crafting designs of a representative sample...