Similar Search Results

Social learning through networks : the adoption of new agricultural technologies in Ghana

Conley, Timothy G.; Udry, Christopher - In: American journal of agricultural economics 83 (2001) 3, pp. 668-673

Persistent link: https://ebvufind01.dmz1.zbw.eu/10001633367

Gender, agricultural production, and the theory of the household

Udry, Christopher - In: Journal of political economy 104 (1996) 5, pp. 1010-1046

Persistent link: https://ebvufind01.dmz1.zbw.eu/10001208000

Introduction: Land and property rights

Udry, Christopher - In: Journal of development economics 110 (2014), pp. 170

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011293076

GMM estimation with cross sectional dependence

Conley, Timothy G. - In: Journal of econometrics 92 (1999) 1, pp. 1-45

Persistent link: https://ebvufind01.dmz1.zbw.eu/10001400085

A new semiparametric spatial model for panel time series

Chen, Xiaoheng; Conley, Timothy G. - In: Journal of econometrics 105 (2001) 1, pp. 59-83

Persistent link: https://ebvufind01.dmz1.zbw.eu/10001617144

Short-term interest rates as subordinated diffusions

Conley, Timothy G.; Hansen, Lars Peter; Luttmer, Erzo … - In: The review of financial studies 10 (1997) 3, pp. 525-577

Persistent link: https://ebvufind01.dmz1.zbw.eu/10001227983

Bootstrapping the long run

Conley, Timothy G.; Hansen, Lars Peter; Liu, Wen-fang - In: Macroeconomic dynamics 1 (1997) 2, pp. 279-311

Persistent link: https://ebvufind01.dmz1.zbw.eu/10001630054

The local-spillover decomposition of an aggregate causal

Conley, Timothy G.; Dupor, Bill; Mahdi, Ebsim,; Li, Jingchao - 2021

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012606709

Bootstrap inference under cross sectional dependence

Conley, Timothy G.; Gonçalves, Sílvia; Kim, Min Seong; … - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013483670

Bootstrap inference under cross-sectional dependence

Conley, Timothy G.; Gonçalves, Sílvia; Kim, Min Seong; … - In: Quantitative economics : QE ; journal of the … 14 (2023) 2, pp. 511-569

In this paper, we introduce a method of generating bootstrap samples with unknown patterns of cross-sectional/spatial dependence, which we call the spatial dependent wild bootstrap. This method is a spatial counterpart to the wild dependent bootstrap of Shao (2010) and generates data by...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014308576