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Inmaculada C. Álvarez Ayuso

About Inmaculada C. Álvarez Ayuso

Inmaculada C. Álvarez Ayuso, With an exceptional h-index of 24 and a recent h-index of 15 (since 2020), a distinguished researcher at Universidad Autónoma de Madrid, specializes in the field of Infraestructuras, Eficiencia y Productividad, Economia Espacial, Desarrollo y Crecimiento regional, Métodos Cuantitativos.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correction: Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models

Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models

Fitting spatial stochastic frontier models in Stata

How institutions shape the economic returns of public investment in European regions

The Structural and Productivity Effects of Infrastructure Provision in Developed and Developing Countries

How effective has the Spanish lockdown been to battle COVID‐19? A spatial analysis of the coronavirus propagation across provinces

Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain

Production Economics in Spatial Analysis

Inmaculada C. Álvarez Ayuso Information

University

Position

___

Citations(all)

1614

Citations(since 2020)

861

Cited By

1078

hIndex(all)

24

hIndex(since 2020)

15

i10Index(all)

41

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Inmaculada C. Álvarez Ayuso Skills & Research Interests

Infraestructuras

Eficiencia y Productividad

Economia Espacial

Desarrollo y Crecimiento regional

Métodos Cuantitativos

Top articles of Inmaculada C. Álvarez Ayuso

Correction: Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models

Journal of Productivity Analysis

2023/11/27

Luis Orea
Luis Orea

H-Index: 16

Alan Wall
Alan Wall

H-Index: 11

Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models

Journal of Productivity Analysis

2023/6

Luis Orea
Luis Orea

H-Index: 16

Alan Wall
Alan Wall

H-Index: 11

Fitting spatial stochastic frontier models in Stata

2023

Ana Rodriguez-Alvarez
Ana Rodriguez-Alvarez

H-Index: 11

How institutions shape the economic returns of public investment in European regions

Available at SSRN 4791698

2023/8

Luis Orea
Luis Orea

H-Index: 16

The Structural and Productivity Effects of Infrastructure Provision in Developed and Developing Countries

2024/4/5

Luis Orea
Luis Orea

H-Index: 16

How effective has the Spanish lockdown been to battle COVID‐19? A spatial analysis of the coronavirus propagation across provinces

Health economics

2022/1

Luis Orea
Luis Orea

H-Index: 16

Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain

2021

Luis Orea
Luis Orea

H-Index: 16

Alan Wall
Alan Wall

H-Index: 11

Production Economics in Spatial Analysis

2020

Luis Orea
Luis Orea

H-Index: 16

A panel data toolbox for MATLAB

Journal of Statistical Software, Vol. 76

2017

The Impact of Land Consolidation on Livestock Production in Asturias’ Parishes: A Spatial Production Analysis

2020/7/21

Luis Orea
Luis Orea

H-Index: 16

A two-level top-down decomposition of aggregate productivity growth: the role of infrastructure

2020/7/21

Luis Orea
Luis Orea

H-Index: 16

See List of Professors in Inmaculada C. Álvarez Ayuso University(Universidad Autónoma de Madrid)

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