The Distributional Impacts of Indonesia's Financial Crisis on Household Welfare: "A Rapid Response Methodology"

Analyzing the distributional impacts of economic crises is important and, unfortunately, an ever more pressing need. If policymakers are to intervene to help those most adversely impacted, then policymakers need to identify those who have been most harmed and the magnitude of that harm. Furthermore, policy responses to economic crises typically must be timely. In this paper, we develop a simple methodology to fill the order and we've applied our methodology to analyze the impact of the Indonesian economic crisis on household welfare there. Using only pre-crisis household information, we estimate the compensating variation for Indonesian households following the 1997 Asian currency crisis and then explore the results with flexible non-parametric methods. We find that virtually every household was severely impacted, although it was the urban poor that fared the worst. The ability of poor rural households to produce food mitigated the worst consequences of the high inflation. The distributional conseqences are the same whether we allow households to substitute towards relatively cheaper goods or not. However the geographic location of the household mattered even within urban or rural areas and household income categories. Additionally, households with young children may have suffered disproportionately adverse effects.http://deepblue.lib.umich.edu/bitstream/2027.42/39771/3/wp387.pd

The Distributional Impacts of Indonesia's Financial Crisis on Household Welfare: A 'Rapid Response' Methodology

Analyzing the distributional impacts of economic crises is important and, unfortunately, an ever more pressing need. If policymakers are to intervene to help those most adversely impacted, then policymakers need to identify those who have been most harmed and the magnitude of that harm. Furthermore, policy responses to economic crises typically must be timely. In this paper, we develop a simple methodology to fill the order and we’ve applied our methodology to analyze the impact of the Indonesian economic crisis on household welfare there. Using only pre-crisis household information, we estimate the compensating variation for Indonesian households following the 1997 Asian currency crisis and then explore the results with flexible non-parametric methods. We find that virtually every household was severely impacted, although it was the urban poor that fared the worst. The ability of poor rural households to produce food mitigated the worst consequences of the high inflation. The distributional consequences are the same whether we allow households to substitute towards relatively cheaper goods or not. However the geographic location of the household mattered even within urban or rural areas and household income categories. Additionally, households with young children may have suffered disproportionately adverse effects.

The Distributional Impacts of Indonesia's Financial Crisis on Household Welfare: "A Rapid Response Methodology"

Analyzing the distributional impacts of economic crises is important and, unfortunately, an ever more pressing need. If policymakers are to intervene to help those most adversely impacted, then policymakers need to identify those who have been most harmed and the magnitude of that harm. Furthermore, policy responses to economic crises typically must be timely. In this paper, we develop a simple methodology to fill the order and we've applied our methodology to analyze the impact of the Indonesian economic crisis on household welfare there. Using only pre-crisis household information, we estimate the compensating variation for Indonesian households following the 1997 Asian currency crisis and then explore the results with flexible non-parametric methods. We find that virtually every household was severely impacted, although it was the urban poor that fared the worst. The ability of poor rural households to produce food mitigated the worst consequences of the high inflation. The distributional conseqences are the same whether we allow households to substitute towards relatively cheaper goods or not. However the geographic location of the household mattered even within urban or rural areas and household income categories. Additionally, households with young children may have suffered disproportionately adverse effects.Indonesia, currency crisis, welfare distribution, compensating variation, non-parametric regression

COSPAS-SARSAT Satellite Orbit Predictor. Volume 3

The satellite orbit predictor is a graphical aid for determining the relationship between the satellite (SARSAT or COSPAS) orbit, antenna coverage of the spacecraft and coverage of the LUTs. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite. Additionally, a table of equator crossings for each satellite is included

Efficient Logging in Non-Volatile Memory by Exploiting Coherency Protocols

Non-volatile memory (NVM) technologies such as PCM, ReRAM and STT-RAM allow processors to directly write values to persistent storage at speeds that are significantly faster than previous durable media such as hard drives or SSDs. Many applications of NVM are constructed on a logging subsystem, which enables operations to appear to execute atomically and facilitates recovery from failures. Writes to NVM, however, pass through a processor's memory system, which can delay and reorder them and can impair the correctness and cost of logging algorithms. Reordering arises because of out-of-order execution in a CPU and the inter-processor cache coherence protocol. By carefully considering the properties of these reorderings, this paper develops a logging protocol that requires only one round trip to non-volatile memory while avoiding expensive computations. We show how to extend the logging protocol to building a persistent set (hash map) that also requires only a single round trip to non-volatile memory for insertion, updating, or deletion

Crime In 2016: A Preliminary Analysis

Earlier this year, the Brennan Center analyzed crime data from the 30 largest cities in 2015, finding that crime overall remained the same as in 2014. It also found that murder increased by 14 percent, with just three cities — Baltimore, Chicago, and Washington, D.C. — responsible for half that increase. All told, 2015's murder rate was still near historic lows. The authors concluded that reports of a national crime wave were premature and unfounded, and that "the average person in a large urban area is safer walking on the street today than he or she would have been at almost any time in the past 30 years."This report updates those findings. It collects midyear data from police departments to project overall crime, violent crime, and murder for all of 2016

Crime Trends: 1990-2016

This report examines crime trends at the national and city level during the last quarter century. It covers the years 1990 through 2016, as crime rates peaked in 1991. It analyzes data from the Federal Bureau of Investigation and from police departments from the nation's 30 largest cities. Data for 2016 are estimated, as full year data was not available at the time of publication.This report concludes that although there are some troubling increases in crimes in specific cities, there is no evidence of a national crime wave

A Tractable Model of Reciprocity and Fairness

We introduce a parametric model of other-regarding preferences. The income distribution and the kindness or unkindness of others' choices ('intentions') systematically affect a person's emotional state. The emotional state systematically affects the marginal rate of substitution between own and others' payoffs, and thus the person's subsequent choices. The model is applied to two sets of laboratory data: simple binary choice mini-ultimatum games, and Stackelberg duopoly games with a range of choices. The results confirm that other-regarding preferences respond to others' intentions as well as to the income distribution.

Satellite orbit predictor

An analog aid to determine satellite coverage of Emergency Locator Transmitters Emergency Position Indicating Radio Beacon (ELT/EPIRB) distress incidence is discussed. The satellite orbit predictor is a graphical aid for determining the relationship between the satellite orbit, antenna coverage of the spacecraft and coverage of the Local User Terminal. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite.A table of equator crossings for each satellite is included