Short-Run Economic Impacts of Hurricane Katrina (and Rita)

Sturm; Erdölförderung; Offshore-Industrie; Makroökonomischer Einfluss; USA

Poverty-Reducing Tax Reforms with Heterogeneous Agents

The poverty impact of indirect tax reforms is analyzed using sequential stochastic dominance methods. This allows agents to differ in dimensions that cannot always be precisely captured within the usual money-metric indicators of living standards. Examples of such dimensions include household size and composition, temporal or spatial variation in price indices, and individual needs and "merits".Poverty, Efficiency, Tax Reform, Stochastic Dominance

Everything should be as simple as possible, but no simpler : towards a protocol for accumulating evidence regarding the active content of health behaviour change interventions

Supplemental data for this article can be accessed here: 10.1080/17437199.2013.848409Peer reviewedPublisher PD

Cycles of violence and terrorist attacks index for the State of Arizona

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Arizona (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal tensions, breakdowns in social order, crime legislation, social, and political unrest, and recently with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder warns that terrorist attacks in the U.S. soil, and foreign wars fought by the country from 1941 to 2005, have affected Arizona creating estimated turning point dates clearly marked by the most tragic terrorist attacks to the nation: the shut down in power in NYC in 1965, the World Trade Center Bombing in 1993, and 9/11 2001. Other indexes already constructed include the attacks indexes for the U.S (http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf), New York City (http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf), and Massachusetts (http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf). These indexes must be used as dependent variables in structural models for terrorist attacks, and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries; cycles of violence; and terrorist attacks index for the State of Massachusetts

Cycles of violence, and terrorist attacks index for the State of Michigan

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Michigan State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part does not coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have not affected Michigan, presenting this State, along with Arkansas as immune to the suffering of the nation, and to the occurrence of attacks. The State appears as having a growing index of permanent murder. This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Michigan. Other indices constructed include the Index for the U.S., New York State, New York City, Arizona, Massachusetts, California, Washington, Ohio, Philadelphia City, Arkansas, Missouri, Florida, and Oklahoma. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries; and terrorist murder; cycles of violence; and attacks index for the City of Philadelphia during the last two centuries

Cycles of violence, and terrorist attacks index for the State of Arkansas

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Arkansas. (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part does not coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have not affected Arkansas, presenting this State as immune to the suffering of the nation, and to the occurrence of attacks. This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Arkansas. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf., Washington http://mpra.ub.uni-muenchen.de/4604/01/MPRA_paper_4604.pdf. , and Ohio http://mpra.ub.uni-muenchen.de/4605/01/MPRA_paper_4605.pdf. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries

Cycles of violence, and terrorist attacks index for the State of Washington.

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Washington. (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal tensions, breakdowns in social order, crime legislation, social, and political unrest, and recently with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder warns that terrorist attacks against the U.S. have affected Washington creating estimated turning point dates marked by the most tragic terrorist attacks to the nation: the World Trade Center Bombing in 1993, and 9/11 2001. This paper belongs to the series of papers helping the U.S identify the closeness of terrorist attacks, and constructs the attacks index for Washington. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf., Ohio, and Arkansas. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries

Cycles of violence, and terrorist attacks index for the State of Oklahoma

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Florida State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have affected Oklahoma, creating estimated turning point dates marked by the most tragic terrorist attacks to the nation, and the State: the World Trade Center bombing in 1993, 9/11 2001, and the Alfred P. Murrah Federal Building bombing This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Oklahoma. Other indices constructed include the Index for the U.S., New York State, New York City, Arizona, Massachusetts, California, Washington, Ohio, Philadelphia City, Arkansas, Missouri, Florida, and Michigan. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.: A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries; and terrorist murder; cycles of violence; and attacks index for the City of Philadelphia during the last two centuries

Cycles of violence, and attacks index for the State of Florida

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Florida State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincide with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder shows that terrorist attacks against the U.S. have affected Florida, creating estimated turning point dates marked by the most tragic terrorist attacks to the nation: the World Trade Center bombing in 1993, and 9/11 2001 This paper belongs to the series of papers helping the U.S, and Homeland Security identify the closeness of terrorist attacks, and constructs the attacks index for Florida. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf., Washington http://mpra.ub.uni-muenchen.de/4604/01/MPRA_paper_4604.pdf., Ohio http://mpra.ub.uni-muenchen.de/4605/01/MPRA_paper_4605.pdf., Philadelphia City, http://mpra.ub.uni-muenchen.de/4783/01/MPRA_paper_4783.pdf, Arkansas http://mpra.ub.uni-muenchen.de/4606/01/MPRA_paper_4606.pdf. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries

Cycles of violence, and terrorist attacks index for the State of Ohio

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of Ohio. (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal tensions, crime legislation, social, and political unrest, and recently with the periodic terrorist attacks to the U.S. The estimated cyclical component of murder warns that terrorist attacks against the U.S. have affected Ohio creating estimated turning point dates marked by the most tragic terrorist attacks to the nation: the World Trade Center Bombing in 1993, and 9/11 2001. This paper belongs to the series of papers helping the U.S identify the closeness of terrorist attacks, and constructs the attacks index for Ohio. Other indices constructed include the Index for the U.S. http://mpra.ub.uni-uenchen.de/1145/01/MPRA_paper_1145.pdf, New York State http://mpra.ub.uni-muenchen.de/3776/01/MPRA_paper_3776.pdf, New York City http://mpra.ub.uni-muenchen.de/4200/01/MPRA_paper_4200.pdf, Arizona State http://mpra.ub.uni-muenchen.de/4360/01/MPRA_paper_4360.pdf, Massachusetts State http://mpra.ub.uni-muenchen.de/4342/01/MPRA_paper_4342.pdf., California http://mpra.ub.uni-muenchen.de/4547/01/MPRA_paper_4547.pdf. Washington http://mpra.ub.uni-muenchen.de/4604/01/MPRA_paper_4604.pdf., and Arkansas. These indices must be used as dependent variables in structural models for terrorist attacks and in models assessing the effects of terrorism over the U.S. economy.A model of cyclical terrorist murder in Colombia; 1950-2004. Forecasts 2005-2019; the econometrics of violence; terrorism; and scenarios for peace in Colombia from 1950 to 2019; scenarios for sustainable peace in Colombia by year 2019; decomposing violence: terrorist murder in the twentieth in the United States; using the Beveridge and Nelson decomposition of economic time series for pointing out the occurrence of terrorist attacks; decomposing violence: terrorist murder and attacks in New York State from 1933 to 2005; terrorist murder; cycles of violence; and terrorist attacks in New York City during the last two centuries