Econometrics

Abstract This paper presents a review of nine theoretical models of foreign direct investment (FDI). Discussed are early studies of determinants of FDI (1) as well as determinants of FDI based on the neoclassical trade theory (2), ownership advantages (3), aggregate variables (4), the ownership, location and internalization advantage framework (5), horizontal and vertical FDI models (6), the knowledge-capital model (7), diversified FDI and risk diversification models (8) and policy variables (9). From each of the nine theories, the relevant determinants of FDI are derived. Empirical studies indicate the importance of these determinants in the real world. The paper shows that there is not one single theory of FDI, but a variety of theoretical models attempting to explain FDI and the location decision of multinational firms. Therefore, any analysis of determinants of FDI should not be based on a single theoretical model. Instead, FDI should be explained more broadly by a combination of factors from a variety of theoretical models such as ownership advantages or agglomeration economics, market size and characteristics, cost factors, transport costs, protection, risk factors and policy variables.

Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective. The method extends the Bayesian Lasso quantile regression by allowing different penalization parameters for different regression coefficients. Inverse gamma prior distributions are placed on the penalty parameters. We treat the hyperparameters of the inverse gamma prior as unknowns and estimate them along with the other parameters. A Gibbs sampler is developed to simulate the parameters from the posterior distributions. Through simulation studies and analysis of a prostate cancer dataset, we compare the performance of the BALQR method proposed with six existing Bayesian and non-Bayesian methods. The simulation studies and the prostate cancer data analysis indicate that the BALQR method performs well in comparison to the other approaches.

This study utilizes panel data analysis over the 1996 to 2015 period to investigate the impact of governance quality (including democratic quality and technical quality) on income inequality in ten Asain countries, classified as "advanced economies" and "emerging market and developing economies". The empirical results show that the impacts of democratic quality and technical quality on income inequality are significantly negative within "emerging market and developing economies". However, for the "advanced economies", the effects of democratic quality and technical quality on income inequality are nonsignificantly positive and significantly positive, respectively. These findings imply that promoting good governance is useful to reduce income inequality for "emerging market and developing economies" but the effect may not be effective for "advanced economies.

A continuous-time model that incorporates several key elements in tumor dynamics is analyzed. More precisely, the form of proliferating and quiescent cell lines comes out from their relations with the whole tumor mass, giving rise to a two-dimensional diffusion ...

This paper models and predicts how the strengthening of intellectual property (IP) protection will impact R&D in developing economies. International agreements such as TRIPs and free trade agreements are enhancing the level of international control on IP. This is changing deeply the R&D environment in developing economies by restraining illegal channels of knowledge accumulation such as imitation, reverse engineering and piracy. An asymmetric and non-cooperative two-stage (R&D-Production) game is proposed to model a developing market where two local firms compete with a more innovative foreign firm. Equilibrium R&D expenditures and profits of the competing firms are compared for different levels of: market technology, technological gaps and IP protection. The proposed model shows clearly that a stringent enforcement of IP agreements will dramatically decrease the innovative abilities of developing economies especially in high technological sectors. The maintain and increase of their...

This paper examines the asymmetrical relationship between exchange rate and consumer prices in 40 Sub-Saharan African (SSA) countries from 1990q1 to 2017q4. The exchange rate pass-through (ERPT) to consumer prices is estimated for each country by using the nonlinear autoregressive distributed lags (NARDL) framework and dynamic panel estimators robust to cross-sectionally correlated errors. Firstly, our findings suggest an asymmetrical ERPT in the SSA region during the short-term, whereas there are mixed results across sub-regions in the long-term. Next, we find incomplete and significant ERPT to consumer prices in the entire SSA region which is higher during the depreciation of the local currency than after appreciations. Third, we find nonlinear ERPT with respect to the size of the exchange rate. The pass-through is higher during large exchange rate changes than after small changes.  Finally, we find that the pass-through is greater in the countries with fixed exchange rate re...

This paper analyzes the impacts and the welfare cost of building-height restrictions, providing a concrete welfare-cost estimate for the city of Bangalore. Relying on several theoretical results, the analysis shows that the welfare cost imposed on its residents by Bangalore's FAR restriction ranges between 3 and 6 percent of household consumption. This burden represents a signi¯cant share of individual resources, and its presence may push many marginal households

The main purpose of this research paper is to explore and understand the nature of association and the possible existence of a short run and long run relationship between US Dollar, EURO, British Pound and Japanese Yen. To find out the relationship among currencies USD/INR, EUR/INR, GBP/INR and JPY/INR pairs are considered. The main idea is to know how these selected indicators are related to each other. The daily basis 2781 observations for all four variables from year 2007 to 2018 are taken into consideration. Data are collected from website of Reserve Bank of India. The stationarity of time series is checked and differentiated as per requirement. Johansen co-integration test to know the long run relationship between variables is used. The result shows that there is no co-integration equation among the variables. The short run relationship is examined with help of Vector Auto-regression (VAR) model and the short run relationship within different lags of variables has been identifi...

... a function that is assumed to have two continuous derivatives, adding the side condition guarantees positivity and produces, uniquely, the Epanechnikov kernel. ... It will be clear from the previous paragraphs that, in the problem of noise-free density estimation, the side constraints ...

The paper represents the research of matching Hurst exponent to Elliott wave models for financial time series. It illustrates that there are some values of Hurst exponent which match the most efficient using of Elliot Wave Principle for time series prediction.
Keywords: wave models, Hurst exponent, financial time series, stock market, R/S-analysis