El presente trabajo de investigación tiene como propósito conocer la relación que existe entre el presupuesto por resultados y la calidad del gasto público en la Universidad Nacional de Moquegua, en el año 2016. En la metodología utilizada, la investigación es de tipo aplicada, con carácter cuantitativo y diseño correlacional. La población en estudio está conformada por 70 trabajadores de la Universidad Nacional de Moquegua y una muestra representativa aleatoria de 59 individuos. Para la obtención de los datos se aplicó la técnica de la encuesta, con un cuestionario de 59 preguntas como instrumento, orientado a recoger datos de las variables en estudio: presupuesto por resultados y calidad del gasto público. Para el análisis de los datos, se utilizó estadística descriptiva que permitió conocer el comportamiento de cada variable en estudio, a través de medidas de tende...

Objective: To prove through an econometric model the number of deaths in Peru is significantly related to the number of infected cases of COVID-19. Method: Basic research, not experimental. For the whole country of Peru, 52 series (days) have been taken and in the specific case from the department of Moquegua, 37 series in the period from March 16 until May 10, 2020. The database of the Ministry of Health has been used, the COVID-19 Situation Chamber and the Moquegua Regional Health Management; Pearson's R and R2 are used. Regression models were generated on May 10 (after 52 days after the first death), which must be contrasted on May 31. Results: The models comply with the prediction, with a high and significant R2 and Rho. Conclusions: The death prediction models are corroborated as of May 31, 73 days after the first death in Peru. Pearson's correlation and determination levels in coun...

Objective: To prove through an econometric model the number of deaths in Peru is significantly related to the number of infected cases of COVID-19. Method: Basic research, not experimental. For the whole country of Peru, 52 series (days) have been taken and in the specific case from the department of Moquegua, 37 series in the period from March 16 until May 10, 2020. The database of the Ministry of Health has been used, the COVID-19 Situation Chamber and the Moquegua Regional Health Management; Pearson's R and R2 are used. Regression models were generated on May 10 (after 52 days after the first death), which must be contrasted on May 31. Results: The models comply with the prediction, with a high and significant R2 and Rho. Conclusions: The death prediction models are corroborated as of May 31, 73 days after the first death in Peru. Pearson's correlation and determination levels in coun...