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[null,"1.","Record Nr.",null,"UNINA9910965824103321"]
[null,null,"Autore",null,"Sgherri Silvia"]
[null,null,"Titolo",null,"On Impatience and Policy Effectiveness / / Silvia Sgherri, Tamim Bayoumi"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2009"]
[null,null,"ISBN",null,"9786612842405"]
[{"$nulls":4},"9781462321476"]
[{"$nulls":4},"146232147X"]
[{"$nulls":4},"9781452742007"]
[{"$nulls":4},"1452742006"]
[{"$nulls":4},"9781451871654"]
[{"$nulls":4},"1451871651"]
[{"$nulls":4},"9781282842403"]
[{"$nulls":4},"1282842404"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (30 p.)"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Disciplina",null,"339.5;339.52"]
[null,null,"Soggetti",null,"Fiscal policy"]
[{"$nulls":4},"Economic policy"]
[{"$nulls":4},"Aggregate Factor Income Distribution"]
[{"$nulls":4},"Banks and Banking"]
[{"$nulls":4},"Comparative or Joint Analysis of Fiscal and Monetary Policy"]
[{"$nulls":4},"Consumption"]
[{"$nulls":4},"Economics"]
[{"$nulls":4},"Expenditure"]
[{"$nulls":4},"Expenditures, Public"]
[{"$nulls":4},"Finance"]
[{"$nulls":4},"Financial services"]
[{"$nulls":4},"Income"]
[{"$nulls":4},"Interest rates"]
[{"$nulls":4},"Interest Rates: Determination, Term Structure, and Effects"]
[{"$nulls":4},"Macroeconomics"]
[{"$nulls":4},"Macroeconomics: Consumption"]
[{"$nulls":4},"National accounts"]
[{"$nulls":4},"National Government Expenditures and Related Policies: General"]
[{"$nulls":4},"Personal income"]
[{"$nulls":4},"Personal Income, Wealth, and Their Distributions"]
[{"$nulls":4},"Public finance & taxation"]
[{"$nulls":4},"Public Finance"]
[{"$nulls":4},"Real interest rates"]
[{"$nulls":4},"Saving"]
[{"$nulls":4},"Stabilization"]
[{"$nulls":4},"Treasury Policy"]
[{"$nulls":4},"Wealth"]
[{"$nulls":4},"United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Contents; I. Introduction; II. Theoretical Model; III. Empirical Estimates; IV. Analysis and Discussion; V. Conclusions and Policy Implications; References; Tables; 1. United States: Unit Root Tests; 2. United States: Cointegration Tests; 3. United States: Estimates of Unrestricted Model (Eq. 10); 4. United States: Estimates of Restricted Model with Impatient Consumers (Eq. 9); Figures; 1. United States: The Data, 1955-2005; 2. United States: Validity of Model Restrictions over Time; 3. United States: Time Variation in the Discount Wedge"]
[{"$nulls":4},"4. United States: Time Variation in the Persistence of Income/Policy Shocks5. United States: Time Variation in Income/Policy Multiplier; 6. United States: Counterfactual Analysis"]
[null,null,null,"Sommario/riassunto","An increasing body of evidence suggests that the behavior of the economy has changed in many fundamental ways over the last decades. In particular, greater financial deregulation, larger wealth accumulation, and better policies might have helped lower uncertainty about future income and lengthen private sectors' planning horizon. In an overlapping-generations model, in which individuals discount the future more rapidly than implied by the market rate of interest, we find indeed evidence of a falling degree of impatience, providing empirical support for this hypothesis. The degree of persistence of \"windfall\" shocks to disposable income also appears to have varied over time. Shifts of this kind are shown to have a key impact on the average marginal propensity to consume and on the size of policy multipliers."]
[null,"2.","Record Nr.",null,"UNINA9910254063003321"]
[null,null,"Autore",null,"Mukhopadhyay Parimal"]
[null,null,"Titolo",null,"Complex Surveys : Analysis of Categorical Data / / by Parimal Mukhopadhyay"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"981-10-0871-X"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (259 p.)"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Social sciences - Statistical methods"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Statistics in Business, Management, Economics, Finance, Insurance"]
[{"$nulls":4},"Biostatistics"]
[{"$nulls":4},"Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Chapter 1. Preliminaries -- Chapter 2. The Design-Effects and Mis-Speciﬁcation Effects -- Chapter 3. Some Classical Models in Categorical Data Analysis -- Chapter 4. Analysis of Categorical Data under a Full Model -- Chapter 5. Analysis of Categorical Data under Log-Linear Models -- Chapter 6. Analysis of Categorical Data under Logistic Regression Model -- Chapter 7. Analysis in the Presence of Classiﬁcation Errors -- Chapter 8. Approximate MLE’s from Survey Data."]
[null,null,null,"Sommario/riassunto","The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters’ behaviour to fields such as industry, agriculture, economics, sociology, psychology, "]
[{"$nulls":4},"investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex surveydesigns like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed – an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades."]