A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks

Tabak, Benjamin Miranda; Miranda, Rogério Boueri; Fazio, Dimas M.

doi:10.1016/j.jbankfin.2013.05.022

Cited by 28 publications

(18 citation statements)

References 25 publications

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Section: Heterogeneity In Mcb Performance: the Empty Mlm And The Timesupporting

confidence: 91%

“…It is also remarkable to highlight that the coefficient of time is always negative, indicating that during the years of the Lehman crisis the MCBs register significant losses in efficiency. While the nexus between crisis and small banks efficiency deserves to be investigated better, as done by Barra et al (2016), it is interesting to point out that our evidence is in line with the results provided by Tabak et al (2013), which focus on US savings banks over the period 2001-2009. The province-specific unobservable factors capture 28.27 per cent of the MCB heterogeneity in efficiency, while the remainder is explained by MCBs (23.62%) and time (48.11%; Table 2, column 1). Moving from one model to another, the portion of variance explained by each level Source: Our elaborations on data from ABI and Bank of Italy.…”

Section: Heterogeneity In Mcb Performance: the Empty Mlm And The Timesupporting

confidence: 89%

“…Importantly, these results are robust to any MLM specification and across different samples of banks. As Tabak et al (2013) argue for US saving banks, the conclusion we can confidentially draw is that geography matters a lot in determining Italian MCB efficiency.…”

Section: Discussionmentioning

confidence: 83%

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Multilevel empirics for small banks in local markets

Aiello

Bonanno

2018

Papers in Regional Science

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Banking is increasingly a-spatial. However, the environment matters for small banks. Indeed, they are embedded in narrowed markets and hence benefit from proximity to their member-customers. By referring to multilevel approach, this article aims at measuring how much the performance of Italian mutual-cooperative banks is determined by both geographical (provincial level) and individual characteristics (small bank level). The effect of local markets explains 28.27% of bank heterogeneity in the empty multilevel model and 33% in the most extended model. Moreover, it is found that bank efficiency increases with market concentration and demand density and decreases with branching in local markets.JEL codes: G21, C13, D00, R19

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Section: Heterogeneity In Mcb Performance: the Empty Mlm And The Timesupporting

confidence: 91%

Section: Heterogeneity In Mcb Performance: the Empty Mlm And The Timesupporting

confidence: 89%

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Multilevel empirics for small banks in local markets

Aiello

Bonanno

2018

Papers in Regional Science

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“…public or private ownership of capital, the origin (domestic or foreign) of investors, or the nature of the regulations that govern banking activity (Chortareas, Girardone, & Ventouri, 2012Servin, Lensink, & van den Berg, 2012). Lastly, there has been analyses at a global scale (Barth, Lin, Mac, Seade, & Song, 2013;Kösedağ, Denizel, & Özdemir, 2011), as well as in terms of developed countries (Brissimis, Delis, & Tsionas, 2010;Feng & Serletis, 2010;Tabak, Boueri, & Fazio, 2013), and emerging countries or regions (Ariss, 2010;Assaf, Matousek, & Tsionas, 2013;Ray & Das, 2010), and economies in transition (Bonin, Hasan, & Wachtel, 2005;Koutsomanoli-Filippaki, Margaritis, & Staikouras, 2009). …”

Section: Efficiency In the Lac Banking Industry: A Brief Review Of LImentioning

confidence: 99%

Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?

Sáez-Fernández

Picazo‐Tadeo

Beltrán-Esteve

2015

Cogent Economics & Finance

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This paper studies the relative performance of domestic and foreign banks in the Latin American and Caribbean banking industry. Data Envelopment Analysis is used to compute technical efficiency scores for the years 2001 and 2013. Our main contribution is twofold. On the one hand, we assess performance at the level of the management of specific production factors. On the other hand, we distinguish program efficiency from managerial efficiency, which allows us to evaluate whether the differences in technical efficiency between national and foreign banks are due to the use of different technologies (program efficiency) or, conversely, differences in the managerial capacities of managers in both categories of banks (managerial efficiency). The results show that foreign banks are more efficient than domestic ones, and provide evidence that the greater efficiency of foreign banks is mostly due to the superior technology they use.The financial crises experienced by the Latin American and Caribbean region in the 1980s and the first half of the 1990s boosted reforms in the banking system aimed at adapting banks to international solvency standards, liberalizing their operational capacity, opening to international competition, and increasing their efficiency and productivity. Foreign banks were encouraged to enter these countries and were also meant to play a leadership role in the process of modernization; however, the role they actually played still remains a cause for debate. This paper contributes to this ongoing debate by analyzing performance in the regional banking industry. Our results show that foreign banks are managed more efficiently than their domestic counterparts; furthermore, this superiority is determined to a great extent by the use of more efficient technologies. Accordingly, our results appear to support the opening up of the Latin American industry, and the positive role of foreign banks in its modernization.

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“…It has been applied to the research of China's real estate market [38], but the GWR model are commonly used for cross-sectional data. Although some studies developed expanded version of the cross-sectional GWR analysis to panel data, the method assumes bandwidths and weights generated from the kernel function will remain temporally invariant [39][40][41]. The geographically and temporally weighted regression (GTWR) model incorporates time factors based on the GWR model [33] and can be used to estimate panel data.…”

Section: Literature Reviewmentioning

confidence: 99%

Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market

et al. 2019

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Differences in housing prices and rental prices across cities or regions and the relationship between prices and socioeconomic fundamentals are frequent research foci in urban and real estate economics, but the existing studies on China's housing market rarely consider both housing price and rent. This study provides a framework for a quantitative analysis of a country's housing market from the perspective of supply and demand, and takes China's housing market as a case study. The current study first explores the key factors that affect housing prices and rental prices using data from 202 cities and collected from 2011 to 2014. Then, theoretical values of housing prices and rental prices in each city are estimated, and the spatiotemporal characteristics of deviation of housing prices and rental prices are analysed. The empirical findings of the current study mainly reveal the following three points. First, the determinants of housing prices and rental prices have similarities. Second, the effect of above factors shows obvious spatial heterogeneity. The coefficients of the variables are different between coastal and inland regions, indicating different demand and supply elasticities across regions. Third, the price deviation presents significant spatial agglomeration. Cities with higher price deviations are clustered in the Yangtze River Delta and Beijing-Tianjin-Hebei, while the price deviations are relatively mild in the Pearl River Delta region.

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A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks

Cited by 28 publications

References 25 publications

Multilevel empirics for small banks in local markets

Multilevel empirics for small banks in local markets

Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?

Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market

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