Will Border Carbon Adjustments Work?

Abstract and PDF report are also available on the MIT Joint Program on the Science and Policy of Global Change website (http://globalchange.mit.edu/).The potential for greenhouse gas (GHG) restrictions in some nations to drive emission increases in other nations, or leakage, is a contentious issue in climate change negotiations. We evaluate the potential for border carbon adjustments (BCAs) to address leakage concerns using an economy-wide model. For 2025, we find that BCAs reduce leakage by up to two-thirds, but result in only modest reductions in global emissions and significantly reduce welfare. In contrast, BCA-equivalent leakage reductions can be achieved by very small emission charges or efficiency improvements in nations targeted by BCAs, which have negligible welfare effects. We conclude that BCAs are a costly method to reduce leakage but such policies may be effective coercion strategies. We also investigate the impact of BCAs on sectoral output and evaluate the leakage contributions of trade and changes in the price of crude oil.This study received support from the MIT Joint Program on the Science and Policy of Global Change, which is funded by a consortium of government, industry and foundation sponsors

COMMUNITY AND FAMILY ADJUSTMENTS

Community/Rural/Urban Development,

Social Security: Cost-of-Living Adjustments

To compensate for the effects of inflation, Social Security recipients usually receive an annual cost-of-living adjustment (COLA). Benefits will be increased by 1.7% in 2015, following an increase of 1.5% in 2014. Social Security COLAs are based on changes in the Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W), updated monthly by the Department of Labor’s Bureau of Labor Statistics (BLS). The COLA equals the growth, if any, in the index from the highest third calendar quarter average CPI-W recorded (most often, from the previous year) to the average CPI-W for the third calendar quarter of the current year. The COLA becomes effective in December of the current year and is payable in January of the following year. (Social Security payments always reflect the benefits due for the preceding month.) If there is no percentage increase in the CPI-W between the measuring periods, no COLA is payable. No COLA was payable in January 2010 because the average CPI-W for the third quarter of 2009 did not increase from the average CPI-W for the third quarter of 2008, and again in 2011 because the average CPI-W for the third quarter of 2010 remained below the average CPI-W for the third quarter of 2008. When the average CPI-W for the third quarter of 2011 exceeded that for 2008, establishing a new benchmark, a COLA was payable in 2012. Because the average CPI-W for the third quarters of 2012 and 2013 exceeded the average CPI-W for the third quarters of each respective preceding year, 2014 will be the third consecutive year in which a COLA will be paid. Because a COLA of 1.7% will be paid to Social Security beneficiaries in 2015, identical percentage increases in Supplemental Security Income (SSI) and railroad retirement “tier 1” benefits will be paid, and other changes in the Social Security program will be triggered. Although COLAs under the federal Civil Service Retirement System (CSRS) and the federal military retirement program are not triggered directly by the Social Security COLA, these programs use the same measuring period and formula for computing their COLAs. As a result, their recipients similarly will receive a 1.7% COLA in January 2015. The Congressional Budget Office (CBO) and the trustees for the Social Security trust funds both project annual COLAs beyond 2015. This report is updated annually

Restrictiveness and guidance in support systems

Restrictiveness and guidance have been proposed as methods for improving the performance of users of support systems. In many companies computerized support systems are used in demand forecasting enabling interventions based on management judgment to be applied to statistical forecasts. However, the resulting forecasts are often ‘sub-optimal’ because many judgmental adjustments are made when they are not required. An experiment was used to investigate whether restrictiveness or guidance in a support system leads to more effective use of judgment. Users received statistical forecasts of the demand for products that were subject to promotions. In the restrictiveness mode small judgmental adjustments to these forecasts were prohibited (research indicates that these waste effort and may damage accuracy). In the guidance mode users were advised to make adjustments in promotion periods, but not to adjust in non-promotion periods. A control group of users were not subject to restrictions and received no guidance. The results showed that neither restrictiveness nor guidance led to improvements in accuracy. While restrictiveness reduced unnecessary adjustments, it deterred desirable adjustments and also encouraged over-large adjustments so that accuracy was damaged. Guidance encouraged more desirable system use, but was often ignored. Surprisingly, users indicated it was less acceptable than restrictiveness

Non-linear adjustments in fiscal policy

This paper provides evidence that the Italian public finances are sustainable, as the country meets its intertemporal budget constraint. Nevertheless, the burden of correcting budgetary disequilibria is entirely carried by changes in taxes, which can have some detrimental economic effects, rather than changes in government spending or policy mixes. Our non-linear analysis, in particular, shows that taxes adjust more rapidly when deviations from the equilibrium level get larger, and that they are downward inflexible not only with respect to their long-run level, but also during periods of decreasing economic growth. In order to correct the undesirable trend of high fiscal pressure and high public debt in Italy, structural expenditure reforms aiming at a higher degree of government expenditure adjustment are needed. This would also relax the asymmetries reported in the paper