Estimating Impact

Estimating Impact
Author: Alexander Kott
Publisher: Springer Science & Business Media
Total Pages: 376
Release: 2010-09-15
Genre: Computers
ISBN: 1441962352

Sociological theories of crime include: theories of strain blame crime on personal stressors; theories of social learning blame crime on its social rewards, and see crime more as an institution in conflict with other institutions rather than as in- vidual deviance; and theories of control look at crime as natural and rewarding, and explore the formation of institutions that control crime. Theorists of corruption generally agree that corruption is an expression of the Patron–Client relationship in which a person with access to resources trades resources with kin and members of the community in exchange for loyalty. Some approaches to modeling crime and corruption do not involve an explicit simulation: rule based systems; Bayesian networks; game theoretic approaches, often based on rational choice theory; and Neoclassical Econometrics, a rational choice-based approach. Simulation-based approaches take into account greater complexities of interacting parts of social phenomena. These include fuzzy cognitive maps and fuzzy rule sets that may incorporate feedback; and agent-based simulation, which can go a step farther by computing new social structures not previously identified in theory. The latter include cognitive agent models, in which agents learn how to perceive their en- ronment and act upon the perceptions of their individual experiences; and reactive agent simulation, which, while less capable than cognitive-agent simulation, is adequate for testing a policy’s effects with existing societal structures. For example, NNL is a cognitive agent model based on the REPAST Simphony toolkit.

COVID-19: Estimating impact on the economy and poverty in Pakistan: Using SAM Multiplier Model

COVID-19: Estimating impact on the economy and poverty in Pakistan: Using SAM Multiplier Model
Author: Moeen, Muhammad Saad
Publisher: Intl Food Policy Res Inst
Total Pages: 40
Release: 2021-01-23
Genre: Political Science
ISBN:

Social Accounting Matrix (SAM) multiplier analysis has been employed to assess the impacts of COVID-19 on various macroeconomic variables including Gross Domestic Product (GDP), employment, and poverty in Pakistan. SAM multiplier models are well-suited to estimate the direct and indirect effects of unanticipated demand-side shocks and short-term fluctuations on various sectors and agents in the economy, such as those caused by the COVID19 pandemic. The results show that Pakistan’s GDP declined by 26.4 percent from mid-March to the end of June 2020 (14 weeks) compared to a non-COVID scenario. Services were hit the hardest, registering losses of 17.6 percent, followed by industry with losses of 6.7 percent. Agriculture turned out to be resilient and remained relatively unhurt, falling by 2.1 percent. All households witnessed a reduction in incomes, but higher-income quartiles appeared to have lost more than lower-income ones. Our approach for economic impact with mitigation measures is to assess the effectiveness of Emergency Response Packages (ERP) by altering the remittances to levels that reflect the magnitude of the support from the government. The total government expenditures were directed towards different kinds of households of PKR 318.6 billion (USD 2.12 billion). This led to a reduction of about USD 3.1 billion in GDP losses, which, compared to the amount spent implied a multiplier of 1.4 in GDP per PKR spent. The national poverty rate soared to 43 percent and 38.7 percent in April and May respectively. The Government’s cash transfers program proved highly effective and led to 11 percent reduction in poverty rate during the pandemic. The recovery scenarios indicate a cumulative GDP loss of USD 11.8 billion and 11.1 USD billion under slow and fast recovery scenarios, respectively, by December 2020. Our estimates show that Pakistan’s annual GDP (at market prices) will register a decline of 4.6 percent in the year 2020 due to negative effects of the pandemic and sluggish economic recovery. Poverty is expected to stabilize at 27.6 percent and 27.4 percent for the two recovery scenarios by December 2020.

Estimating the Impact of External Shocks on the ECCU: Application to the COVID Shock

Estimating the Impact of External Shocks on the ECCU: Application to the COVID Shock
Author: Vivian Parlak
Publisher: International Monetary Fund
Total Pages: 37
Release: 2021-08-20
Genre: Business & Economics
ISBN: 151358541X

We measure the impact of frequent exogeneous shocks on small ECCU economies, including changes to global economic activity, tourism flows, oil prices, passport sales, FDI, and natural disasters. Using Canonical-Correlation Analysis (CCA) and dynamic panel regression analysis we find significant effects of most of these shocks on output, while only fluctuations in oil prices have significant effects on inflation. Results also suggest a significant impact of FDI and passport sales on the external balance, a link that CCA identifies as the strongest among all analyzed relations. The model also shows how Covid-19 related shocks lead to substantial contractions in output in all ECCU countries and deterioration of the current account balance in most of them, depending on countries’ tourism dependency.

Estimating the Impact of Access to Infrastructure and Extension Services in Rural Nepal

Estimating the Impact of Access to Infrastructure and Extension Services in Rural Nepal
Author: Andrew Scott Dillon
Publisher: Intl Food Policy Res Inst
Total Pages: 50
Release: 2011-01-01
Genre: Social Science
ISBN: 089629188X

During the period of Nepal's ninth five-year plan (19972002), agricultural growth in the predominantly rural society was disappointing. The recent peace process, however, gives the country new opportunities to develop its economy with less interference due to internal conflict. This research monograph investigates how Nepal might seize these opportunities by increasing agricultural growth and poverty reduction through improvements in roads, irrigation, and rural extension. The authors evaluate the impact of public investments in these areas by using two types of data and methodology: a hedonic approach that relates access to public infrastructure and services to land value and a panel of household-level data on consumption, poverty, and income. The hedonic methodology suggests a positive relationship between investments in irrigation and extension and household welfare, although the panel data approach suggests otherwise. This result reinforces the importance of methodology in evaluating rural investments. Rural roads yielded more clear-cut findings, however: both approaches agree that investment there has a positive relationship with household welfare, as measured in land values, consumption growth, poverty reduction, or agricultural income growth. The authors recommend increased public investments in rural roads, irrigation, and extension, as well as further research into precisely how infrastructure and services affect rural households' welfare and how their effectiveness can be improved. This monograph will be useful to policymakers, researchers, and others concerned with Nepal's future development.

Methodologies for Estimating the Economic Impacts of Natural Disasters

Methodologies for Estimating the Economic Impacts of Natural Disasters
Author: Hirokazu Tatano
Publisher: Springer
Total Pages: 0
Release: 2022-10-07
Genre: Nature
ISBN: 9789811627217

This book outlines methodologies to estimate the economic impacts of natural disasters based on business surveys conducted after large disasters in Japan. By including numerous observations on business activities in past disasters and the validations of both engineering and economic models based on these data sets, this book appeals to practitioners who estimate the regional economic impacts as well as to students and young professionals in various fields who conduct disaster impact studies. The book consists of 7 chapters and includes theories and practices, which help readers to interlink the estimation methods with real-world problems. The study primarily focuses on cases in Japan, but the methods employed can be generalized and applied in other countries.