The whole globe is going under a devastating threat of economic depression amid impact of COVID-19 pandemic. Almost No country can deny the fact propelling to the economic ramification of this diseases suggesting a confirmed apropos plan to recuperate any unavoidable circumstance in forthcoming economic arena. Bangladesh with no exception is also capitulated under a significant threat of economic disparity navigating a colossal crisis during and after this epidemic. This paper attempts to reveal what those possible impacts are causing this economic crisis for Bangladesh and how government along with all other stakeholders will respond to sustain socio-economic developments achieved during the recent fiscal years in spite of being submerged by the depressing mode of major economic indicators such as inverse trade growth, vigorous revenue deficit, mounting non-performing loan, falling private sector investment, volatility of market interest rate, capital market unrest and imminent horrid of global economic recession.
{"title":"COVID-19 vs Bangladesh: Is it Possible to Recover the Impending Economic Distress Amid this Pandemic?","authors":"Raad Mozib Lalon","doi":"10.2139/ssrn.3579697","DOIUrl":"https://doi.org/10.2139/ssrn.3579697","url":null,"abstract":"The whole globe is going under a devastating threat of economic depression amid impact of COVID-19 pandemic. Almost No country can deny the fact propelling to the economic ramification of this diseases suggesting a confirmed apropos plan to recuperate any unavoidable circumstance in forthcoming economic arena. Bangladesh with no exception is also capitulated under a significant threat of economic disparity navigating a colossal crisis during and after this epidemic. This paper attempts to reveal what those possible impacts are causing this economic crisis for Bangladesh and how government along with all other stakeholders will respond to sustain socio-economic developments achieved during the recent fiscal years in spite of being submerged by the depressing mode of major economic indicators such as inverse trade growth, vigorous revenue deficit, mounting non-performing loan, falling private sector investment, volatility of market interest rate, capital market unrest and imminent horrid of global economic recession.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120957917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently, Syria startup a remarkable economic and financial revolution, which raised many positive expectations regarding development and growth in all sectors and on many levels. This research is evidence for an individual case study, although it is common to study regression across countries to judge the effects of financial development, but it is also important to study the evidence for each country at least at the simple level. Through this research we will highlight the impact of previous Syrian reforms, and analyze their role to reach this important stage, by explaining the relationship between financial development and economic growth in Syria, over a period of twenty years, in addition to examines whether the exogenous component of financial intermediary development influences economic growth, by using the direction of causality between financial development and economic growth in Syria is investigated for the period 1970-2009. In order to see the impact of different aspects of financial development . The results were obtained using statistical methods, and further provided panel results supported with evidence involve the legal, regulatory, and policy determinants of financial development.
{"title":"Financial Development and Economic Growth an Empirical Analysis for Syria","authors":"Lina Hammoud","doi":"10.2139/ssrn.3569798","DOIUrl":"https://doi.org/10.2139/ssrn.3569798","url":null,"abstract":"Recently, Syria startup a remarkable economic and financial revolution, which raised many positive expectations regarding development and growth in all sectors and on many levels. This research is evidence for an individual case study, although it is common to study regression across countries to judge the effects of financial development, but it is also important to study the evidence for each country at least at the simple level. Through this research we will highlight the impact of previous Syrian reforms, and analyze their role to reach this important stage, by explaining the relationship between financial development and economic growth in Syria, over a period of twenty years, in addition to examines whether the exogenous component of financial intermediary development influences economic growth, by using the direction of causality between financial development and economic growth in Syria is investigated for the period 1970-2009. In order to see the impact of different aspects of financial development . The results were obtained using statistical methods, and further provided panel results supported with evidence involve the legal, regulatory, and policy determinants of financial development.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126660549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper examines the long-term labour market consequences of a positive economic shock, the first discovery of oil and gas in Norway. Existing studies focus on the short-term and men, while less is known about women and the persistence of such shocks. Oil discovery increased male earnings (by 7%), while female earnings declined (by 10%). These shifts persist for two decades. Labour force participation and occupational change account for the earnings divergence. Within married couples, wives’ earnings declined, but household earnings increased. However, women’s income loss in oil regions is transitory: younger cohorts catch up to women in non-oil regions.
{"title":"Losing in a Boom: Long-Term Consequences of a Local Economic Shock for Female Labour Market Outcomes","authors":"P. Bennett, Chiara Ravetti, Po Yin Wong","doi":"10.2139/ssrn.3542205","DOIUrl":"https://doi.org/10.2139/ssrn.3542205","url":null,"abstract":"This paper examines the long-term labour market consequences of a positive economic shock, the first discovery of oil and gas in Norway. Existing studies focus on the short-term and men, while less is known about women and the persistence of such shocks. Oil discovery increased male earnings (by 7%), while female earnings declined (by 10%). These shifts persist for two decades. Labour force participation and occupational change account for the earnings divergence. Within married couples, wives’ earnings declined, but household earnings increased. However, women’s income loss in oil regions is transitory: younger cohorts catch up to women in non-oil regions.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130166202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Intense competition in Indian banking industry compelled the bankers to involve in active selling. This paper aimed to identify the different sales strategies used in banks and to investigate the perceptual gap between employees and customers towards different sales strategies. Empirical study has been conducted among select private sector banks in the Barak valley region of Indian state of Assam. Perceptual gap has been analysed by estimating significance difference between two sample mean. Findings revealed that there is a significance difference between perception between employees and customers towards up-selling strategy whereas there is no such difference in case of other sales strategies. Study found that unique nature of the up selling strategy is responsible for creating such differences in perception. This study cannot be generalised in case of entire Indian banking industry as it focused only on the sales strategies of private sector banks in India. Findings help the banks to understand the gap between the thinking of employees and customers towards the importance of different sales strategies.
{"title":"Sales Strategies of Banks: An Empirical Study of Select Private Sector Banks in India","authors":"S. Sinha, S. Mukherjee","doi":"10.31838/jcr.07.02.14","DOIUrl":"https://doi.org/10.31838/jcr.07.02.14","url":null,"abstract":"Intense competition in Indian banking industry compelled the bankers to involve in active selling. This paper aimed to identify the different sales strategies used in banks and to investigate the perceptual gap between employees and customers towards different sales strategies. Empirical study has been conducted among select private sector banks in the Barak valley region of Indian state of Assam. Perceptual gap has been analysed by estimating significance difference between two sample mean. Findings revealed that there is a significance difference between perception between employees and customers towards up-selling strategy whereas there is no such difference in case of other sales strategies. Study found that unique nature of the up selling strategy is responsible for creating such differences in perception. This study cannot be generalised in case of entire Indian banking industry as it focused only on the sales strategies of private sector banks in India. Findings help the banks to understand the gap between the thinking of employees and customers towards the importance of different sales strategies.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127630866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study critically examines the effects of specific exogenous shocks—oil price shocks on Nigeria’s external sector. Employing a Structural Macroeconomic Model (SMM) comprising of ten behavioural equations and four identities with quarterly data spanning from 1981 to 2015, the SMM simulations of the external sector found that oil price shocks do have significant impacts on the components of Nigeria’s external sector. Specifically, while oil price shocks elicited varying responses from all components of Nigeria’s external sector components, the simulated results showed very limited evidence of asymmetry in the responses to both positive and negative oil price shocks. For policy, the simulated responses of capital financial flows, foreign debt flows, imports, nominal exchange rates, reserves, remittances, and capital financial flows, reflect the over-dependence of the Nigerian economy on crude oil, and the justifiable need to diversify the Nigerian economy away from the oil sector.
{"title":"External Sector Responses to Oil Price Shocks: A Structural System Model for Nigeria","authors":"C. Onyimadu","doi":"10.4236/tel.2019.98180","DOIUrl":"https://doi.org/10.4236/tel.2019.98180","url":null,"abstract":"This study critically examines the effects of \u0000specific exogenous shocks—oil price shocks on Nigeria’s external \u0000sector. Employing a Structural Macroeconomic Model (SMM) comprising of ten behavioural equations and four identities with \u0000quarterly data spanning from 1981 to 2015, the SMM simulations of the external \u0000sector found that oil price shocks do have significant impacts on the \u0000components of Nigeria’s external sector. Specifically, while oil price shocks \u0000elicited varying responses from all components of Nigeria’s external sector \u0000components, the simulated results showed very limited evidence of asymmetry in \u0000the responses to both positive and negative oil price shocks. For policy, the \u0000simulated responses of capital financial flows, foreign debt flows, imports, \u0000nominal exchange rates, reserves, remittances, and capital financial flows, \u0000reflect the over-dependence of the Nigerian economy on crude oil, and the \u0000justifiable need to diversify the Nigerian economy away from the oil sector.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121743890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ingrid Kristine Folgerø, Torfinn Harding, Benjamin S. Westby
Abstract This paper studies the impact of speed limits on local air pollution using a series of date-specific speed limit reductions in Oslo over the 2004–2011 period. We find that lowering the speed limit from 80 to 60 km/h reduces travel speed by 5.8 km/h. However, we find no evidence of reduced air pollution as measured next to the treated roads. Our estimates suggest an annual time loss of the speed limit reductions of 66 USD per affected vehicle. Our findings imply that policy makers need to consider other actions than speed limit reductions to improve local air quality.
{"title":"Going Fast or Going Green? Evidence from Environmental Speed Limits in Norway","authors":"Ingrid Kristine Folgerø, Torfinn Harding, Benjamin S. Westby","doi":"10.2139/ssrn.3464251","DOIUrl":"https://doi.org/10.2139/ssrn.3464251","url":null,"abstract":"Abstract This paper studies the impact of speed limits on local air pollution using a series of date-specific speed limit reductions in Oslo over the 2004–2011 period. We find that lowering the speed limit from 80 to 60 km/h reduces travel speed by 5.8 km/h. However, we find no evidence of reduced air pollution as measured next to the treated roads. Our estimates suggest an annual time loss of the speed limit reductions of 66 USD per affected vehicle. Our findings imply that policy makers need to consider other actions than speed limit reductions to improve local air quality.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130130094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using a 20-year-long, population-wide panel with detailed firm and group level data from Norway, we study the profitability change in companies that shift from being domestic to being multinational as well as companies that shift from being multinational to being domestic. Profitability falls when domestic companies become multinational and increases when multinational companies become domestic. The average change in profitability is about 24 %, all else equal. We attribute our findings to the profit shifting opportunities that are available for multinational companies, and we display several patterns in the data that are consistent with this interpretation. We find that the extent of profit shifting decreases after the introduction of stricter transfer pricing regulations, and an increase in transfer pricing audits, starting in 2007/2008. Our best estimate of the total corporate tax revenue lost due to profit shifting is about 6 % in the last year of the sample, 2012. We estimate that the revenue loss would have been twice as large in absence of the new regulatory framework.
{"title":"Profit Shifting and the Effect of Stricter Transfer Pricing Regulation on Tax Revenue","authors":"Julia Tropina Bakke, Arnt O. Hopland, Jarle Møen","doi":"10.2139/ssrn.3464248","DOIUrl":"https://doi.org/10.2139/ssrn.3464248","url":null,"abstract":"Using a 20-year-long, population-wide panel with detailed firm and group level data from Norway, we study the profitability change in companies that shift from being domestic to being multinational as well as companies that shift from being multinational to being domestic. Profitability falls when domestic companies become multinational and increases when multinational companies become domestic. The average change in profitability is about 24 %, all else equal. We attribute our findings to the profit shifting opportunities that are available for multinational companies, and we display several patterns in the data that are consistent with this interpretation. We find that the extent of profit shifting decreases after the introduction of stricter transfer pricing regulations, and an increase in transfer pricing audits, starting in 2007/2008. Our best estimate of the total corporate tax revenue lost due to profit shifting is about 6 % in the last year of the sample, 2012. We estimate that the revenue loss would have been twice as large in absence of the new regulatory framework.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115323112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mario Arturo Ruiz Estrada, Khor Swee Kheng, Rashid Ating
This paper shows how obesity can affect the productivity of any country. In our case, we evaluate its impact on Malaysia. The main objective of this paper is to evaluate any relationship between obesity and productivity. We then assess the association between obesity and the growth in labor productivity. We propose a new index entitled “The National Obesity Behavior Index (NOB-Index).” The NOB-Index offers the possibility to evaluate and monitoring expansion or contraction of obesity on the national and regional level. Finally, we provide a series of recommendations and policies to help solve this deep health problem in Malaysia.
{"title":"The Evaluation of Obesity in Malaysia","authors":"Mario Arturo Ruiz Estrada, Khor Swee Kheng, Rashid Ating","doi":"10.2139/ssrn.3455108","DOIUrl":"https://doi.org/10.2139/ssrn.3455108","url":null,"abstract":"This paper shows how obesity can affect the productivity of any country. In our case, we evaluate its impact on Malaysia. The main objective of this paper is to evaluate any relationship between obesity and productivity. We then assess the association between obesity and the growth in labor productivity. We propose a new index entitled “The National Obesity Behavior Index (NOB-Index).” The NOB-Index offers the possibility to evaluate and monitoring expansion or contraction of obesity on the national and regional level. Finally, we provide a series of recommendations and policies to help solve this deep health problem in Malaysia.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124013681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mario Arturo Ruiz Estrada, Michitaka Umemoto, J. Sapkota
In this paper, we introduce a new applicable tool to evaluate any post-natural disaster and its impact on people losses and damage, the new applicable tool is entitled “the post-natural disaster people losses and damage simulator (Ḧ-Simulator).” Subsequently, the Ḧ-Simulator works under the application of ten indicators such as (i) the impact of different post-natural disasters on people losses and damage ratio (ḦNH(i)-Ratio); (ii) the total impact of full post-natural disasters on people losses and damage ratio (Ḧt-Ratio); (iii) the impact of different post-natural disasters on people losses and damage balance (ḦNH(i)-Balance); (iv) the total impact of full post-natural disasters on people losses and damage balance (Ḧt-Balance); (v) the impact of different post-natural disasters on people losses and damage marginal rate (ḦNH(i)-Marginal Rate); (vi) the total impact of full post-natural disasters on people losses and damage marginal rate (Ḧt-Marginal Rate); (vii) the impact of different post-natural disasters on losses and damage critical point (ḦNH(i)-Critical Point); (viii) the total impact of full post-natural disasters on people losses and damage critical point (Ḧt-Critical Point); (ix) the impact of different post-natural disasters on losses and damage surface (ḦNH(i)-Surface); (x) the total impact of full post-natural disasters on people losses and damage surface (Ḧt-Surface). However, the measurement of the ḦNH(i)-Ratio and Ḧt-Ratio, in turn, is based on simultaneously evaluating nine sub-variables (svj), where each sub-variable is represented by “j” that is a positive integer number, each sub-variable (svj) follow this by: (i) the number of death people by Km2 (sv1); (ii) the total number of missing people by Km2 (sv2); (iii) the total number of trapped people by Km2 (sv3); (iv) the total number of minor injured people by Km2 (sv4); (v) the total number of critical injured people by Km2 (sv5); (vi) the total number of infected people by diseases or epidemics by Km2 (sv6); (vii) the total number of people affected by water and air pollution by Km2 (sv7); (viii) the capability of food and water reserves for all people by Km2 (sv8); (ix) the total number of patients that each hospital is capable to attend by Km2 (sv9). The main objective of the Ḧ-Simulator is to evaluate the people losses and damage directly from a specific natural hazard or a large number of possible natural hazards. Therefore, these natural hazards analyzed in the Ḧ-Simulator is followed by earthquake (NH1), tsunami (NH2), floods (NH3), volcano eruption (NH4), typhoon (NH5), fire pollution (NH6), snow avalanches (NH7), landslide (NH8), blizzards (NH9), cyclonic storms (NH10), Tornadoes (NH11), droughts (NH12), hailstorms (NH13), sandstorm (NH14), and hurricane (NH15) respectively. Finally, the Ḧ-Simulator offers a Microsoft excel worksheet to input, storage, classified, calculate, and visualize the people losses and damage by Km2 from each type of natural hazards or all na
{"title":"An Introduction to The Post-Natural Disasters People Losses and Damage Simulator (Ḧ-Simulator): Theoretical Framework","authors":"Mario Arturo Ruiz Estrada, Michitaka Umemoto, J. Sapkota","doi":"10.2139/ssrn.3457126","DOIUrl":"https://doi.org/10.2139/ssrn.3457126","url":null,"abstract":"In this paper, we introduce a new applicable tool to evaluate any post-natural disaster and its impact on people losses and damage, the new applicable tool is entitled “the post-natural disaster people losses and damage simulator (Ḧ-Simulator).” Subsequently, the Ḧ-Simulator works under the application of ten indicators such as (i) the impact of different post-natural disasters on people losses and damage ratio (ḦNH(i)-Ratio); (ii) the total impact of full post-natural disasters on people losses and damage ratio (Ḧt-Ratio); (iii) the impact of different post-natural disasters on people losses and damage balance (ḦNH(i)-Balance); (iv) the total impact of full post-natural disasters on people losses and damage balance (Ḧt-Balance); (v) the impact of different post-natural disasters on people losses and damage marginal rate (ḦNH(i)-Marginal Rate); (vi) the total impact of full post-natural disasters on people losses and damage marginal rate (Ḧt-Marginal Rate); (vii) the impact of different post-natural disasters on losses and damage critical point (ḦNH(i)-Critical Point); (viii) the total impact of full post-natural disasters on people losses and damage critical point (Ḧt-Critical Point); (ix) the impact of different post-natural disasters on losses and damage surface (ḦNH(i)-Surface); (x) the total impact of full post-natural disasters on people losses and damage surface (Ḧt-Surface). However, the measurement of the ḦNH(i)-Ratio and Ḧt-Ratio, in turn, is based on simultaneously evaluating nine sub-variables (svj), where each sub-variable is represented by “j” that is a positive integer number, each sub-variable (svj) follow this by: (i) the number of death people by Km2 (sv1); (ii) the total number of missing people by Km2 (sv2); (iii) the total number of trapped people by Km2 (sv3); (iv) the total number of minor injured people by Km2 (sv4); (v) the total number of critical injured people by Km2 (sv5); (vi) the total number of infected people by diseases or epidemics by Km2 (sv6); (vii) the total number of people affected by water and air pollution by Km2 (sv7); (viii) the capability of food and water reserves for all people by Km2 (sv8); (ix) the total number of patients that each hospital is capable to attend by Km2 (sv9). The main objective of the Ḧ-Simulator is to evaluate the people losses and damage directly from a specific natural hazard or a large number of possible natural hazards. Therefore, these natural hazards analyzed in the Ḧ-Simulator is followed by earthquake (NH1), tsunami (NH2), floods (NH3), volcano eruption (NH4), typhoon (NH5), fire pollution (NH6), snow avalanches (NH7), landslide (NH8), blizzards (NH9), cyclonic storms (NH10), Tornadoes (NH11), droughts (NH12), hailstorms (NH13), sandstorm (NH14), and hurricane (NH15) respectively. Finally, the Ḧ-Simulator offers a Microsoft excel worksheet to input, storage, classified, calculate, and visualize the people losses and damage by Km2 from each type of natural hazards or all na","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Inflation and Unemployment are two intricately linked concepts of Economics. The renowned economist William Phillips, described an inverse relationship between rates of unemployment and corresponding rates of rises in wages resulting within an economy. Over the years many researchers have tried to test the validity of Phillips Curve over various areas. Current research tries to find out the empirical relationship between Inflation and unemployment by testing of Phillips Curve in Indian context. To test the operation of Phillips curve in current Indian economic situation the data of twenty seven years i.e. 1992 to 2018 have been taken into consideration. To check the applicability of already existing theory of inverse relationship between Unemployment and Inflation, researchers have applied Co-integration and Granger Causality Test.
{"title":"Phillips Curve (Struggling Jargon): Practical Implication in Indian Context","authors":"Deepmala Jasuja, Preeti Sharma","doi":"10.2139/ssrn.3466611","DOIUrl":"https://doi.org/10.2139/ssrn.3466611","url":null,"abstract":"Inflation and Unemployment are two intricately linked concepts of Economics. The renowned economist William Phillips, described an inverse relationship between rates of unemployment and corresponding rates of rises in wages resulting within an economy. Over the years many researchers have tried to test the validity of Phillips Curve over various areas. Current research tries to find out the empirical relationship between Inflation and unemployment by testing of Phillips Curve in Indian context. To test the operation of Phillips curve in current Indian economic situation the data of twenty seven years i.e. 1992 to 2018 have been taken into consideration. To check the applicability of already existing theory of inverse relationship between Unemployment and Inflation, researchers have applied Co-integration and Granger Causality Test.","PeriodicalId":133518,"journal":{"name":"Norwegian School of Economics","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115441675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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