Estimating Consumer Lock-In Effects from Firm-Level Data
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DOI: 10.1007/s10842-012-0149-2
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- Gábor Kézdi & Gergely Csorba, 2012. "Estimating consumer lock-in effects from firm-level data," CEU Working Papers 2012_17, Department of Economics, Central European University, revised 19 Oct 2012.
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Cited by:
- Gábor Kézdi & Gergely Csorba, 2013.
"Estimating Consumer Lock-In Effects from Firm-Level Data,"
Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 431-452, September.
- Gábor Kézdi & Gergely Csorba, 2012. "Estimating consumer lock-in effects from firm-level data," CEU Working Papers 2012_17, Department of Economics, Central European University, revised 19 Oct 2012.
- Dancsik, Bálint & Marosi, Anna & Szabó, Beáta, 2022. "Túl drága az olcsó hitel - a családi otthonteremtési kedvezmény támogatott hitelkamatainak vizsgálata [Cheap loans are too expensive: an examination of interest rates on subsidised housing loans]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1493-1506.
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More about this item
Keywords
lock-in; switching costs; demand analysis; difference-in-differences; personal loans; C33; D12; L13;All these keywords.
JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
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