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  1. With the application of frequency domain filter, this paper estimates Nepalese business and financial cycles. To estimate the cycles, the annual series of GDP, CPI and Credit to Private Sectors were used ranging from 1991 to 2017. The data is modified and indexed by applying the standard data generation process.

  2. 9 cze 2022 · Abstract. This paper examines the long-run and short-run growth effects of financial institutions depth in Nepal along with the sensitivity to the choice of proxy representing financial depth.

  3. 26 kwi 2020 · This paper aims to examine the role of financial development and economic growth in Nepal employing Autoregressive distributed lag (ARDL) approach of cointegration using time series data for...

  4. 21 maj 2020 · Using time series data of the last twenty-seven years (1990 to 2016), this study tries to go in-depth regarding the relationship between macroeconomic variables and its impact on economic growth...

  5. This paper presents a brief survey of macro modeling exercise carried out at Nepal Rastra Bank and presents estimation of some sectoral models. Sample period of 1975 to 2016 is used for estimation. Models such as inflation, money demand, tax elasticity, and buoyancy and import-export elasticity have been estimated.

  6. This study aims to investigate the effects of money supply on economic growth of Nepal over the period 1975 to 2016,using co-integration, Vector Error Correction Model (VECM) and Causality test to make a conclusion.

  7. 22 lut 2024 · The comprehensive report evaluates Nepals provinces based on 64 indicators spanning four crucial domains: macroeconomic stability, government and institutional framework, financial landscape, business environment, workforce conditions, and quality of life along with infrastructure development.

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