Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

THE SMALL BUT SIGNIFICANT AND NONTRANSITORY INCREASE IN PRICES (SSNIP) TEST

Liviana Niminet    

Resumen

The Small but Significant Nontransitory Increase in Price Test was designed to define the relevant market by concepts of product, geographical area and time. This test, also called the ,,hypothetical monopolistic test? is the subject of many researches both economical and legal as it deals with economic concepts as well as with legally aspects.

 Artículos similares

       
 
José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa    
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat... ver más
Revista: Forecasting

 
Nassar S. Al-Nassar    
This study contributes to the ongoing debate on the size effect and size-based investment styles by investigating the return and volatility spillovers and time-varying conditional correlations among Saudi large-, mid-, and small-cap indices. To this end,... ver más

 
Dachen Sheng and Heather A. Montgomery    
This paper examines the determinants of bond issuance in the Chinese market and the influence of capital structure?in particular direct debt finance?on firm performance and the cost of debt. The results reveal that institutional factors in the Chinese ma... ver más

 
Heliyani heliyani, Evi Susanti Tasri, Dona Amelia, Yudi Dwianda     Pág. 129 - 140
The e-commerce business sector is a sector that has undergone considerable changes due to the COVID-19 pandemic. This study aims to examine the impact of the decline in e-commerce revenue due to the COVID-19 pandemic on Indonesia's economic growth. The d... ver más

 
James T. E. Chapman and Ajit Desai    
This paper assesses the usefulness of comprehensive payments data for macroeconomic predictions in Canada. Specifically, we evaluate which type of payments data are useful, when they are useful, why they are useful, and whether machine learning (ML) mode... ver más
Revista: Forecasting