Results 141 to 150 of about 5,709 (159)

Sosyal Güven ve Ekonomik Kalkınma: Avrupa Ülkeleri Üzerine Mekânsal Ekonometri Analizi

, 2013
Burcu Ozcan, Fatma Zeren
semanticscholar   +1 more source

TÜRKİYE'DE ŞEHİRLEŞMEYİ ETKİLEYEN FAKTÖRLER: MEKANSAL EKONOMETRİ ANALİZİ

, 2012
Fatma Zeren Burcu Kilinç Savrul
semanticscholar   +1 more source

Google ekonometrie: Aplikace na Českou republiku

2014
This thesis examines the applicability of Google Econometrics - the use of search volume data of particular queries as explanatory variables in time se- ries modeling - in the case of the Czech Republic. We analyze the contribu- tion of Google data by comparing out-of-sample nowcasting performance and in-sample fit with control variables in three ...
openaire   +2 more sources

Ekonometri--I: Giris (Econometrics--I: Introduction)

Econometrica, 1972
Selim Ilkin, Ilhan Ugurel, Halil Dirimtekin   +2 more
openaire   +1 more source

Google ekonometrie: Nezaměstnanost v zemích Visegrádské čtyřky

2014
This thesis examines the relationship between job-related Google search query indices and unemployment rate in Visegrad countries. We found that the unemployment rate generally moves in the same direction as the search volume index for the job-related term. The series of Google search query indices also proved useful for prediction-making.
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Uygulamalarla Mikro Ekonometri

2021
Üçdoğruk Birecikli, Şenay, Şengül, Seda   +1 more
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FİNANSAL EKONOMETRİ UYGULAMALARI

2021
Demir, Gökçe, Kılınç, Zeliha Semra, Aydın, Üzeyir   +2 more
openaire   +1 more source

Google ekonometrie: Predikování cen cenných papírů

2018
1 Abstract The thesis analysed whether it is possible to improve on time-series forecasting models used to predict prices and volatility of government bonds by adding online search data. Previous research showed that Google trends data are an useful source of an additional information which could improve various fore- casting or nowcasting models.
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Kauzální usuzování a klasická ekonometrie

The thesis attempts to provide a basic insight into the theory used in causal infer- ence. In this regard, it focuses on the potential outcomes model and the use of directed acyclic graphs (DAGs). It also presents one of the classical methods used in economet- rics, which uses instrumental variables and two-stage estimation using the least squares ...
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Eseje z vysokorozměrné ekonometrie a financí

Essay in High-Dimensional Econometrics and Finance Vladimir Pyrlik Abstract High dimensionality is a popular contemporary setting in applied statistical analysis of various types of data. Growing dimensionality of the data challenges precise and well-conditioned estimates of statistical models.
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