scholarly journals The Impact of ICT on Educational Performance and its Efficiency In Selected EU and OECD Countries: A Non-Parametric Analysis

2012 ◽  
Author(s):  
Aleksander Aristovnik
Keyword(s):  
Parametric Analysis ◽  
Oecd Countries ◽  
Educational Performance ◽  
The Impact ◽  
Non Parametric

scholarly journals Explaining Disparities in AH Stock Premium Returns with Chinese Economic Policy Uncertainty: Evidence Based on a Non-Parametric Analysis

2019 ◽  
Vol 23 (4) ◽  
pp. 658-666 ◽  
Author(s):  
Mohib Ur Rahman ◽  
Bing Xu ◽  
Yuan Xiao ◽  
Wen-Tsung Lai ◽  
◽  
...  
Keyword(s):  
Economic Policy ◽  
Parameter Uncertainty ◽  
Parametric Analysis ◽  
Kernel Density ◽  
Evidence Based ◽  
Policy Uncertainty ◽  
Economic Policy Uncertainty ◽  
Premium Puzzle ◽  
The Impact ◽  
Non Parametric

This paper empirically investigates the AH share premium puzzle considering the impact of economic policy uncertainty (EPU) in China, using Hang Seng AH premium (HSAHP) index data from March 2011 to June 2018. Specifically, the index of Baker, Bloom, and Davis is used as a proxy for EPU in China. The data has been divided into two periods: 0 and 1. Period 0 includes data before the launch of the stock connect program and spans from March 2011 to October 2014, while period 1 represents data from after the launch of stock connect program and spans from November 2014 to June 2018. To more robustly test the change in AH premiums after the “connect” is launched; we evaluate the impact of Chinese EPU using non-parametric kernel density estimation. The empirical results show that parameter uncertainty explains variations in price disparity and can significantly reduce the returns of the AH share premium index.

Evaluating the Performance of Hedge Fund Strategies: A Non-Parametric Analysis

2015 ◽  
Author(s):  
Alessandra Canepa ◽  
Maria O. Gonzalez ◽  
Frank S. Skinner
Keyword(s):  
Parametric Analysis ◽  
Hedge Fund ◽  
Non Parametric

The Quantification of Structural Reforms in OECD Countries

2018 ◽  
Author(s):  
Balázs Égert ◽  
Peter Gal
Keyword(s):  
Product Market ◽  
Physical Capital ◽  
Oecd Countries ◽  
Market Regulation ◽  
Structural Reforms ◽  
Long Term Effects ◽  
Per Capita ◽  
Product Market Regulation ◽  
The Impact

This chapter describes and discusses a new supply-side framework that quantifies the impact of structural reforms on per capita income in OECD countries. It presents the overall macroeconomic impacts of reforms by aggregating over the effects on physical capital, employment, and productivity through a production function. On the basis of reforms defined as observed changes in policies, the chapter finds that product market regulation has the largest overall single policy impact five years after the reforms. But the combined impact of all labour market policies is considerably larger than that of product market regulation. The paper also shows that policy impacts can differ at different horizons. The overall long-term effects on GDP per capita of policies transiting through capital deepening can be considerably larger than the five- to ten-year impacts. By contrast, the long-term impact of policies coming only via the employment rate channel materializes at a shorter horizon.

scholarly journals Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

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