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Pregled bibliografske jedinice broj: 1076021

Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach


Čižmešija, Mirjana; Škrinjarić, Tihana
Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach // Business Practices, Growth and Economic Policy in Emerging Markets / Camacho, Luis ; Singh, Satyendra (ur.).
New Jersey, USA: World Scientific Publishing Co., Inc., 2020. str. 69-88 doi:10.1142/9789811221750_0005


CROSBI ID: 1076021 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach

Autori
Čižmešija, Mirjana ; Škrinjarić, Tihana

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Business Practices, Growth and Economic Policy in Emerging Markets

Urednik/ci
Camacho, Luis ; Singh, Satyendra

Izdavač
World Scientific Publishing Co., Inc.

Grad
New Jersey, USA

Godina
2020

Raspon stranica
69-88

ISBN
981122174X

Ključne riječi
poverty rates ; midas regression ; forecasting

Sažetak
Consumer surveys (CS) conducted in accordance with The Joint Harmonized European Union Programme of Business and Consumer Surveys produce very useful data for economic modeling and forecasting, especially within the area of macroeconomic and financial applications. One part of the application is the investigation of poverty levels and social problems. Therefore, the purpose of this chapter is to examine if the monthly data available from CS can be used to forecast future poverty rates of a country. This research utilizes the mixed sampling (MIDAS) regression approach of modeling and forecasting the yearly poverty rates of a country by using monthly data on the financial situation from the CS data. Results of the analysis show that the potential of using such an approach exists. This means that policymakers of emerging markets could use the MIDAS regression to forecast future poverty rates so that timely decisions and moves can be made, which will reduce costs and achieve the country’s goals of better and faster development.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Citiraj ovu publikaciju

Čižmešija, Mirjana; Škrinjarić, Tihana
Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach // Business Practices, Growth and Economic Policy in Emerging Markets / Camacho, Luis ; Singh, Satyendra (ur.).
New Jersey, USA: World Scientific Publishing Co., Inc., 2020. str. 69-88 doi:10.1142/9789811221750_0005
Čižmešija, M. & Škrinjarić, T. (2020) Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach. U: Camacho, L. & Singh, S. (ur.) Business Practices, Growth and Economic Policy in Emerging Markets. New Jersey, USA, World Scientific Publishing Co., Inc., str. 69-88 doi:10.1142/9789811221750_0005.
@inbook{inbook, year = {2020}, pages = {69-88}, DOI = {10.1142/9789811221750\_0005}, keywords = {poverty rates, midas regression, forecasting}, doi = {10.1142/9789811221750\_0005}, isbn = {981122174X}, title = {Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach}, keyword = {poverty rates, midas regression, forecasting}, publisher = {World Scientific Publishing Co., Inc.}, publisherplace = {New Jersey, USA} }
@inbook{inbook, year = {2020}, pages = {69-88}, DOI = {10.1142/9789811221750\_0005}, keywords = {poverty rates, midas regression, forecasting}, doi = {10.1142/9789811221750\_0005}, isbn = {981122174X}, title = {Predicting Poverty Rates with Consumer Survey Results: A MIDAS Approach}, keyword = {poverty rates, midas regression, forecasting}, publisher = {World Scientific Publishing Co., Inc.}, publisherplace = {New Jersey, USA} }

Časopis indeksira:


  • Scopus


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