Anorexia in Teens - 1178 Words

There are many kinds of psychosocial disorders that deal with deferent things. Some psychosocial disorders are genetic and some people just pick up from everyday life. Teens can pick up disorders from high school and form our popular media. The media plays a huge roll on what teens do to their life. The media tells teens what they should eat, what size teens should be, and what is okay to wear. Media is mostly worried about what people, mostly celebrities, look like. Teens see a tiny model; teens see that as being attractive. The teen that saw the tiny model attractive would start to starve them self to become that skinny or what is known in the psychology world as anorexia. Anorexia is a big deal in the United States, a lot of†¦show more content†¦The women also talked about society playing major roll on what they did to them self’s, as young adults. They told the researches â€Å"idea of society† (Nilsson, Abrahamsson and Torbiornsson). This quote can be taki ng many ways. That just the idea of society makes them change everything in their life just to fit in. Besides society they women talked about cultural stressors. Stressors consists of tensions, discomfort, or physical symptoms that arise when a situation. Cultural stressor or stressors stimuli can be rang from many events from a job loss to combat (Lilienfeld, Lynn and Namy 457). In the interviews with the women they explained what kinds of stressors affect them like â€Å"rape at 13 years of age† or â€Å"no friends in school† (Nilsson, Abrahamsson and Torbiornsson). After the interviews they did a few follow-ups with the ladies who went thought the interview process, to see if anything had changed with their lives. One of the interviewees named Cilia said â€Å"I thought I was fat, I didn’t think muscles were nice. I thought I would lose a bit of weight, and then thought I would lose a few more kilos. Once I lost that weight, I just kept losing more.† She was made fun of during her time at school because she was a heavy. After talking with the researchers she changed and she is getting better now (Nilsson, Abrahamsson and Torbiornsson) the most common place for social stressors is in high school. High school and even middle school are great places to find a socialShow MoreRelatedHelping Teens Avoid Bulimia And Anorexia1028 Words   |  5 PagesAlexis WIlley Mrs.Gallos English 3 05 April 2017 How to Help Teens Avoid Bulimia and Anorexia Even though some teens have health conditions that make them very skinny or problems going on at home does not mean they have to hurt themselves. Teens need to avoid bulimia nervosa and anorexia nervosa. Some teens do not have self confidence in themselves. Many teens have died or get other medical conditions for becoming bulimic or anorexic. Bulimia nervosa is a life threatening eating disorder. BulimiaRead MoreAnorexia Bulimia: Why Are American Teens Starving Themselves?1533 Words   |  7 PagesAnorexia Bulimia: Why Are American Teens Starving Themselves? Dina Males Mr. James Wieber English 111 Image is very crucial for a teenager; the pressure of school and fitting in with there classmates and friends can be very difficult for a teenager. It is when a teenager starts taking image to the extreme and starts harming themselves by starving themselves. More and more teenagers are becoming anorexic and bulimic and it is not only affecting girls but boys are starting to come outRead MoreMedia’s Blow on Anorexia1054 Words   |  5 PagesMedia’s Blow on Anorexia About one in 200 persons in the United States will develop anorexia nervosa at some time. Ninety Percent are women (Anorexia Nervosa—Part 1 1). Anorexia is defined as an emotional disorder characterized by refusing to diet or eat. This is targeting young girls all across the world! This calamity is struck by something every person loves, social media. The media realm needs to be ceased from the websites that support dieting, celebrities displaying perfectionist bodiesRead MoreTaking Control of Eating with Bulemia or Anorexia Essay591 Words   |  3 PagesAccording to the article Eating disorders 101, it states that â€Å"Between 5 and 10 million Americans have anorexia or bulimia†. People may not think of anorexia as an addiction, but in many ways it is. Anorexia usually begins as a diet. People may feel a loss of control and dieting is something that they feel they can have control over, thus feeling better about themselves. People will become closer with their bodi es and soon develop a preoccupation with food and fear of gaining weight. The person mayRead MoreEssay on Cause and Effect of Anorexia1128 Words   |  5 Pageswas not cancer or AIDS. I had anorexia, a condition which afflicts many teens and young adults, especially young women.† Holly (Caringonline.org) Anorexia is a type of eating disorder who has an intense fear of gaining weight. They severely limit the amount of food they eat and can become dangerously thin (1). Anorexia affects both the mind and body and can even become deadly. Anorexia usually starts in the teen years and can go into adult hood. Untreated anorexia can lead to starvation and seriousRead MoreTaking a Look at Teenagers and Anorexia Essay1078 Words   |  5 PagesAnorexia Teenagers across America have a number of problems that they have to deal with everyday, whether it is bullying, stress, friends, school, or body image. Body image is something that is especially sensitive to adolescents and is a growing issue in the modern day. Teens, especially girls, are the most self-conscious group of people so it is not surprising that eating disorders are most likely to develop when a girl or boy becomes a teenager. Anorexia is the most common eating disorderRead MorePeer Pressure And Media Cause Eating Disorders1743 Words   |  7 Pagesor otherwise conform in order to be accepted (â€Å"Peer Pressure†). The aftermath of being constantly pressured by fellow peers can lead to various health conditions for both children and teens. This pressure doesn’t just have to be from unfriendly peers, it can also be friends or even family members. Children and teens want to be accepted and they often feel pressured to fit in. They often want to be one of t he more popular students in their class. By being thin, they feel that they can achieve thisRead MoreAnorexia Nervosa Is The Highest Mortality Rate Of All Mental Illnesses909 Words   |  4 PagesAnorexia nervosa is often misunderstood, and it is not a life style that people choose to have. Eating disorders are a serious illness. Anorexia has the highest mortality rate of all mental illnesses. Four out of ten people in the national survey reported that they either suffered or knew someone who had suffered from an eating disorder. Anorexia nervosa is an eating disorder where the person does not eat or maintain a normal body weight, in order to have a skinny body (DSM-V). Most women areRead MoreAnorexia Nervosa And Its Effects On Society1514 Words   |  7 Pagespeople are currently suffering from Anorexia. Anorexia Nervosa is an eating disorder in which people suffering drastically restrict food intake due to an intense fear of gaining weight and a distorted body image. 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Unexpected Inflation Free Essays

Unexpected In? ation and Redistribution of Wealth in Canada Cesaire A. Meh, Canadian Economic Analysis, and Yaz Terajima, Financial Stability One of the most important arguments in favour of price stability is that unexpected in? ation generates changes in the distribution of income and wealth among different economic agents. These redistributions occur because many loans in the economy are speci? ed in ? xed-dollar terms. We will write a custom essay sample on Unexpected Inflation or any similar topic only for you Order Now Unexpected in? ation redistributes wealth from creditors to debtors by reducing the real value of nominal assets and liabilities. This article quanti? es the redistributional effects of unexpected in? ation in Canada. To this end, we ? rst provide comprehensive evidence of the nominal assets and liabilities of various economic sectors and household groups. We ? nd that the redistributional effects of unexpected in? ation are large even for episodes of low in? ation. The main winners are young, middleincome households, who are major holders of ? xed-rate mortgage debt, and the government, since in? ation reduces the real burden of their debt for both groups. The losers are high-income households and middle-aged, middle-income households that hold long-term bonds and nonindexed pension wealth. T here is ongoing research on potential re? ements to monetary policy regimes in countries with low and stable in? ation. In Canada, for example, a systematic review of the current in? ationtargeting framework is underway (see the other articles in this issue). An issue that has received relatively less attention is the redistributional effects of unexpected in? ation. 1 Redistributional effects occur because many savings, investments, and loans in the economy are speci? ed in money terms (i. e. , not adjusted for in? ation); unexpected in? ation therefore redistributes wealth from lenders to borrowers by lowering the real value of nominal assets and liabilities. The analysis of these effects may be important since the welfare costs of in? ation depend not only on aggregate effects but also on potential redistributional consequences. Our calculations show that, even with an episode of low in? ation, the redistribution can be sizable. While this is a wealth transfer from one agent in the economy to another, a sense of who wins and who loses is essential in order to assess transitional costs and potential public support for reform. The goal of this article is to provide insight into the redistributional effects of in? tion in Canada. The article is a summary of the recent research of Meh and Terajima (2008). 3 The article proceeds as follows. The ? rst section documents nominal assets and liabilities (i. e. , ? nancial assets and liabilities that are denominated in Canadian dollars and not fully indexed to in? ation) held by different economic sectors and 1 2 . 3 In this article, we focus on in? ation that is either unexpected or partially unexpected. If in? ation were completely expected, the change in the real value of the nominal claim would be incorporated in the contract. Hence, there would not be any redistribution. On the other hand, lower-than-expected in? ation redistributes wealth from borrowers to lenders. Meh and Terajima (2008) build on Doepke and Schneider (2006) who document nominal assets and liabilities in the United States and develop a methodology to compute the redistribution of wealth caused by in? ation. UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 43 household groups, while the second part describes the methodology used to compute the redistribution of wealth induced by unexpected in? ation. Using this methodology and the documented nominal positions, the third section quantitatively assesses the redistribution of wealth under episodes of low and moderate in? ation. The ? nal part of the article concludes. Nominal Assets and Liabilities Unexpected in? ation generates redistributions because most ? nancial assets and liabilities are speci? ed in money terms. For example, payments on ? xedrate mortgage contracts, bank deposits, non-indexed de? ned-bene? t pension plans,4 government and corporate bonds, and other types of loans are generally not adjusted for unexpected in? ation. Hence, when in? ation is high, the value of these assets and liabilities falls in terms of purchasing power, since the prices of other goods and services go up with in? ation, but payments on these ? nancial claims are ? xed. The extent of the changes in the purchasing power of ? nancial assets and liabilities also depends on the term to maturity, as we will show later on. In this section, we document Canadian holdings by type and maturity in various categories of assets and liabilities. Speci? cally, we look at asset and liability positions for three sectors: household, government, and non-residents. We also consider different groups of households. The objective is to show that, among these different groups of agents, holdings of nominal assets and liabilities differ in both qualitatively and quantitatively important ways. Given that these differences exist, there is potential for redistribution among them following in? ation shocks. (SFS). The NBSA documents the ownership of ? nanc ial and non-? nancial assets and liabilities by sector. We use the NBSA to compute the net asset and liability positions of the household, government, and foreign sectors. The SFS is a household survey data set on income and wealth. We use the 2005 wave (the latest available), involving about 5,000 households, with weights to produce Canadian aggregates. It provides a comprehensive picture of assets and liabilities. For the sake of consistency, we use the 2005 NBSA and focus our analyses on the year 2005. Categories of nominal assets and liabilities Following Doepke and Schneider (2006), nominal assets and liabilities are de? ned as all ? nancial claims that are denominated in Canadian dollars and not fully indexed to in? ation. We report net nominal positions (i. e. , assets minus liabilities) in four categories, de? ned as follows:6 †¢ Short-term – ? nancial assets and liabilities with a term to maturity less than or equal to one year (e. g. , domestic currency, bank deposits, consumer credit, and short-term paper) †¢ Mortgages – all mortgage claims †¢ Bonds – non-mortgage and non-pension nominal claims with maturity greater than one year, including government and corporate bonds and bank loans †¢ Pensions – employer pension plans without provisions for indexing bene? ts to the cost of living, including both de? ed-contribution plans and non-indexed de? ned-bene? t plans7 We distinguish among these categories because they differ in maturity structure. Differences in maturity will emerge as a key factor in assessing the extent of potential redistribution. Unexpected in? ation generates redistributions because most ? nancial assets and liabilities are speci? ed in money terms. Sectoral positions Data We use two main data sets, both provided by Statistics Canada: the National Balance Sheet Accounts (NBSA) and the Survey of Financial Security 4 5 Non-indexed de? ned-bene? pension plans are those where retirees receive ? xed payments not adjusted for in? ation. Since all businesses are owned by their shareholders, we allocate business sector portfolios across the three sectors, based on each sector’s equity holdings. Table 1 shows net positions in each category, as well as the overall net nominal position (NNP) for each sector. Positions are expressed relative to gross domestic product (GDP) in 2005. Positive numbers indicate net lending; negative numbers, net borrowing. 6 7 For more details, see Meh and Terajima (2008). Another type of plan is the indexed de? ed-bene? t plan. These plans are treated as real assets, since in? ation will not affect them. 44 UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVI EW SPRING 2009 We observe that households are the main net nominal lenders overall, with NNP at 40. 14 per cent of GDP. The government sector, at about 43 per cent of GDP, is the main counterparty borrowing from households. The foreign sector has a positive but small NNP of 2. 85 per cent of GDP. Households tend to lend through short-term claims, bonds, and pensions, and borrow through mortgages. The government sector borrows mainly through bonds; it also borrows through short-term claims and pensions. 8 The non-resident sector lends in mortgages and bonds and owes in pensions. 9 These observations suggest that households are the likely losers of unexpected in? ation, since it lowers the purchasing power of their lending (i. e. , savings). Table 1: Net Nominal Positions as a Percentage of GDP Sectors Short-term claims Mortgages Bonds Pensions NNP Households 12. 25 -11. 94 22. 14 17. 69 40. 14 Government -7. 60 3. 19 -29. 67 -8. 91 -42. 99 Non-residents -4. 65 8. 75 7. 53 -8. 79 2. 85 Table 2: Nominal Positions as a Percentage of Net Worth by Age Age Cohort Under 36 36–45 Short-term claims Mortgages Bonds Pensions NNP 4. 83 -37. 95 -2. 63 -0. 05 -35. 80 -1. 01 -13. 57 4. 70 -1. 31 -11. 19 46–55 1. 48 0. 07 6. 50 5. 01 13. 06 56–65 2. 40 4. 48 7. 90 7. 36 22. 14 66–75 9. 00 3. 55 6. 70 8. 68 27. 93 Over 75 12. 27 3. 29 7. 68 8. 65 31. 89 Household groups We now look at the household sector in more detail, using the SFS data set. We examine three classes (low-income, middle-income, and high-income) and six age groups (under 36, 36–45, 46–55, 56–65, 66–75, and over 75) to observe differences within the sector. 0 Table 2 presents the overall positions for each age group as a percentage of the group’s net worth. We observe that the NNP increases with age, implying that households shift from being net borrowers to net lenders as they get older. Most of the borrowing of the young is from mortgages. With age, more lending (i. e. , saving) is observed in pensions and in liquid short-term claims. This implies that young households will gain from unexpected in? ation while older households will lose. Qualitatively, these patterns generally hold across different income classes, although with different magnitudes. Table 3 shows the positions of the three income classes, with the long-term category combining mortgages, bonds, and pensions. 11 The general pattern of â€Å"borrowing more when young and lending more with age† holds across different income classes. We observe, however, that levels of borrowing relative to their net worth among young middle-income and low-income households are relatively larger than they are for high-income households, mainly because the portfolios of low-income and middle-income households are concentrated in residential real estate (mortgages). This implies that while the young generally bene? from in? ation, bene? ts are likely concentrated among low-income and middleincome households. Table 3: Nominal Positions as a Percentage of Net Worth by Age and Income Class Age Cohort Under 36 36–45 High-income Short-term claims Long-term claims Medium-income Short-term claims 5. 83 2. 24 -28. 71 4. 39 7. 01 5. 49 20. 55 9. 07 20. 29 14. 91 18. 97 3. 86 -6. 5 2 -3. 73 5. 89 -1. 97 18. 40 -2. 36 19. 89 8. 48 19. 03 8. 56 21. 26 46–55 56–65 66–75 Over 75 Long-term claims -95. 27 Low-income Short-term claims 18. 90 Long-term claims -71. 01 -0. 06 -27. 07 5. 04 -8. 30 13. 84 6. 89 12. 58 1. 7 10. 96 12. 79 8 The government sector is a borrower in pensions as it holds liabilities from employer pension plans to its employees. 9 The borrowing in pensions by the non-resident sector indirectly re? ects the pension liabilities of the business sector. As previously mentioned, we allocate business sector portfolios across the three sectors, based on each sector’s equity holdings. 10 The classes are de? ned based on a mix of income and wealth. For simplicity, we use the terms low-income, middle-income, and high-income to refer to each class. See Meh and Terajima (2008) for the details. 1 The distribution of households as well as that of net worth by age group and income class is shown in Meh and Terajima (2008). UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 45 How In? ation Causes Redistribution Given the observed differences in nominal positions among households, government, and non-residents, unexpected in? ation should induce redistributions of real wealth. But how do we begin to identify the pattern and quantify the extent of the redistributions? The size of wealth redistribution depends on how economic agents adjust their expectations to in? tion surprises. We follow Doepke and Schneider (2006) by considering two scenarios that provide upper and lower bounds on the redistribution of wealth. The upper bound is captured by a â€Å"full-surprise† scenario (hereafter FS). In this scenario, during several years of experiencing in? ation shocks, agents do not anticipate that shocks will continue in subsequent periods; nominal interest rates remain unchanged and the in? ation shock lowers the real value of nominal positions each period, regardless of the duration of these positions. Wealth redistribution from in? tion The goal of this section is to use the nominal positions documented above, combined with the methodology just described, to estimate the redistribution of wealth for an in? ation episode. Historically, in? ation episodes with different magnitudes lasting for extended periods have occurred. For example, between 2000 and 2004, the average in? ation rate in Canada was generally higher than the in? ation target rate of two per cent. To illustrate the in? ation-induced redistribution of wealth, we will consider a hypothetical in? ation episode that lasts ? e years with an in? ation shock of one per cent, starting in the benchmark year 2005. 12 Redistribution across sectors Table 4 summarizes the sectoral present-value gains and losses induced by an in? ation episode with one per cent shocks that continue for ? ve years, beginning in 2005, under the FS and IA in? ation scenarios. Table 4: Redistribution of Wealth acro ss Sectors as a Percentage of GDP, with a One Per Cent In? ation Shock Lasting Five Years Households Sectors Net Full-surprise scenario -1. 95 -1. 26 Gains 12. 53 7. 61 Losses -14. 48 -8. 86 2. 09 1. 49 -0. 14 -0. 3 Government Non-residents The size of wealth redistribution depends on how economic agents adjust their expectations to in? ation surprises. The lower bound is given by an â€Å"indexing ASAP† scenario (hereafter IA), where agents adjust their expectations after the initial shock to take into account the full duration of the shock. This scenario is also known as a gradual in? ation episode, since in? ation is partially anticipated. Under the IA scenario, the nominal yield curve is adjusted upwards to incorporate the in? ation shock. As a result, under the IA scenario, in? tion-induced gains or losses depend on the maturity of the nominal position. The position is â€Å"locked-in† at the pre-shock nominal interest rate until its maturity date but must be disc ounted using the new nominal rate, resulting in a lower present value. Intuitively, present-value gains or losses for a claim are larger under the FS scenario because all the positions are affected equally by the in? ation episode. Under the IA scenario, however, long-term positions are affected more drastically than shorter positions. Agents are able to mitigate their losses on instruments that mature before the in? tion episode ends. Our calculations are based on a present-value analysis, described in Box 1. Box 2 discusses how we assign terms to maturity for each category of claims. Indexing ASAP scenario It is apparent from the table that, under the two scenarios, the household sector loses, while the government sector wins. The household sector loss and the government gain are both large. Under FS, the household losses amount to 1. 95 per cent of GDP (or $26. 8 billion), while the government gain is 2. 09 per cent (roughly 5 per cent of NNP). The non-resident sector loses, but the loss is small, just 0. 4 per cent of GDP. To understand these ? ndings, recall that, under FS, gains and losses are directly proportional to the initial nominal positions. Since the household sector is the economy’s main lender and the government sector is the main borrower, it is not surprising that these sectors are the most dramatically affected by the shock under the FS scenario. 12 Under the current in? ation-targeting framework, in? ation has not exceeded expectations by one per cent for ? ve consecutive years. However, as a hypothetical scenario, we suppose price-level shocks that push in? tion to the upper bound of the range speci? ed in the current framework. The current annual in? ation target is two per cent with the target range extending from one to three per cent. 46 UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 Box 1 Present-Value Analysis of Redistributions1 Full-surprise (FS) Scenario We start with an explan ation of how unexpected in? ation changes the purchasing power of a nominal claim. Consider an -year, zero-coupon bond with a total nominal yield at time of . In the absence of unexpected in? tion, the present value of one dollar earned in periods through investment in this ? nancial claim is given by are then summed over all claims to derive the net redistribution. Indexing ASAP Scenario The indexing ASAP scenario corresponds to a onetime announcement at period that, starting from the current period , in? ation will be percent higher than expected during each period for the next periods. Assuming that the announcement is credible, bond markets will immediately revise their in? ation expectations and incorporate these updates into the nominal yield curve. Assuming that the real curve does not change after the shock and that the Fisher equation holds, the new nominal interest rate used to discount . Therefore, the present a claim is value, , of a claim under IA is , where indicates the exponential function to base . Suppose that at time , there is a one-time surprise increase in in? ation of per cent per year that lasts for periods. Under the FS scenario, since the in? ation shock in each subsequent period is unanticipated, market expectations do not adjust and the nominal term structure is unchanged. As a result, only a proportion, , of a position’s present value remains, and this proportion falls as the size and duration of the shock increase. The present value of , is thus given by this nominal claim under FS, This equation shows that the present value of a onedollar claim at time is independent of the term to maturity of that claim. The present-value gain or loss, , is given by As can be seen from this equation, in contrast to the FS scenario, under IA, a ? nancial position of maturity will be affected only for the periods of its duration, before which the agent is assumed to reinvest at the pre-shock real yield. This is analogous to the agent’s reinvesting in a claim that offers a nominal rate of return that has been indexed to take the in? ation announcement into account. The present-value gain or loss of a claim of maturity under IA is given by: The net present value of gain or loss depends only on the size and duration of the shock and the initial nominal position. The gain is, indeed, proportional to the . pre-shock position, with a coef? cient of If , then there is a gain from the in? ation episode; otherwise, there is a loss. In order to derive the total gain or loss of an economic agent (e. g. , a sector r a household), is calculated for each claim with a term to maturity . The gains or losses 1 This methodology to calculate redistribution can be applied to compare the size of redistribution under different monetary policy regimes such as in? ation targeting and price-level targeting. This point is summarized in Crawford, Meh, and Terajima (this issue) and analyzed in detail in Meh, Rios-Rull, and Terajima (2008). Hence, under IA, the present-value gain or loss depends on (i) the size of the shock ( ), (ii) the duration of the shock ( ), (iii) the initial nominal position , and (iv) the maturity of the claim ( ). On the other hand, as mentioned above, the gain or loss under the FS scenario for any position is independent of its maturity. The IA scenario provides a lower bound for gain or loss on a claim, since it assumes full adjustment of expectations to the path of in? ation following the initial announcement. The total gain or loss of an economic agent is derived in the same way as in the FS scenario, based on the sum of the gains and losses from each claim. UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 47 Box 2 Term-to-Maturity Structure In this box, we describe how terms to maturity are determined for each claim. For ? nancial short-term claims, we assume that they all have one-year terms to maturity, such that we set = 1. For mortgages, we apply the distribution of ? xed-rate mortgages by term in 2005. 1 The distribution is obtained using the Canadian Financial Monitor data set from Ipsos Reid Canada, which is compiled from a household survey containing detailed mortgage information. Chart A presents the distribution of mortgages across terms of mortgages, weighted by outstanding balances. It shows that the most common term of Canadian ? ed-rate mortgages is ? ve years. Based on the fractions we obtain from Chart A, we assign a weight for each . For example, we assign a 60 per cent weight to . We take a similar approach for bonds. We derive a maturity distribution from quarterly data on the maturity and face value of federal government debt. 2 Chart B shows the distribution from the fourth quarter of 2005. We assum e that the distribution of terms to maturity for federal government bonds approximates that for all instruments in this category. For pensions, we focus on two types of pension plans: de? ned-contribution and non-indexed de? ned-bene? t plans. For de? ned-contribution plans, we assume that the average investment portfolio is approximated by the holdings of Trusteed Pension Plans. 3 The assets of Trusteed Pension Plans are given in the NBSA. We compute the distributions of these assets over terms to maturity and use them to assign weights to each value. For non-indexed de? ned-bene? t plans, we assume a ? xed stream of annual post-retirement payments. When calculating the present-value 1 The term of mortgage is the length of the current mortgage agreement. A mortgage can have a long amortization period, such as 30 years, with a shorter term, such as 5 years. When the term expires, a new term agreement can begin at the prevailing interest rate. The term of mortgage, rather than the amortization period, is relevant for our analysis. These data were obtained from the Bank of Canada’s Communication, Auction and Reporting System database. See Meh and Terajima (2008) for more details. Trusteed Pension Plans hold approximately 70–75 per cent of employer pension plan assets. See Meh and Terajima (2008) for more details. gains and losses of pension assets, we apply the formulas in Box 1 to each payment, then sum all the gains or losses. In assigning the term to maturity of each payment, we set based on the difference between the current age of the household and the age at the time of the payment. Chart A: Distribution of Fixed-Rate Mortgages by Term % 70 60 50 40 30 20 10 0 Six months One year Two years Three to four years Five years Seven years Ten or more years Chart B: Distribution of Government Bonds by Term to Maturity % 15 10 5 0 1 yr. 10 yr. 20 yr. 30 yr. 2 3 48 UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 It is also clear that gains and losses are generally smaller under IA. The household sector loss under IA is 1. 26 per cent of GDP (or $17. 3 billion), compared with 1. 95 per cent under FS. This change is driven by a reduction in the losses associated with the sector’s net savings in long-term bonds and pensions relative to the FS case. The change is offset somewhat, since instruments with a shorter maturity are less sensitive to gradual in? ation, and the gains associated with the sector’s net debt in mortgage markets shrink relative to the FS case. The government gain drops from about 2. 1 per cent of GDP under the FS scenario to about 1. 5 per cent under the IA scenario—i. . , it shrinks by almost one-third. This occurs because the government borrows through some bonds that have maturities of less than ? ve years. The non-resident sector’s losses, although small, increase from 0. 14 per cent of GDP under FS to 0. 23 per cent of GDP under IA. Finally, Table 4 shows gross redistributions for the household sector—i. e . , it distinguishes between losses associated with lending and gains associated with borrowing. It should be clear from these results that net calculations substantially understate how much wealth is shifted around. Under FS, the household sector gains 12. 3 per cent of GDP and loses 14. 48 per cent, implying a total gross redistribution of 27. 01 per cent of GDP. In other words, household wealth worth 27 per cent of GDP is reshuf? ed. Under IA, the total gross redistribution is 16. 47 per cent of GDP. Table 5: Redistribution of Wealth across Households as a Percentage of Net Worth by Age and Income Class, with a One Per Cent In? ation Shock Lasting Five Years Age group Under 36 Full-surprise scenario All High-income Middle-income Low-income Indexing ASAP scenario All High-income Middle-income Low-income 1. 66 0. 26 3. 91 2. 66 0. 44 -0. 18 1. 15 1. 15 -0. 54 -0. 74 -0. 3 0. 28 -0. 84 -0. 76 -0. 94 -0. 42 -0. 83 -0. 82 -0. 89 -0. 17 -0. 82 -0. 86 -0. 81 -0. 56 -0. 34 -0. 55 -0. 19 0. 14 1. 74 0. 13 4. 34 2. 53 0. 54 -0. 10 1. 28 1. 32 -0. 63 -0. 80 -0. 55 0. 16 -1. 07 -0. 85 -1. 26 -1. 01 -1. 36 -1. 34 -1. 42 -0. 69 -1. 55 -1. 45 -1. 64 -1. 15 -0. 53 -0. 68 -0. 42 -0. 16 36–45 46–55 56–65 66–75 Over 75 All Redistribution between household types Even though the household sector as a whole loses from surprise in? ation, the loss (or gain) is not uniform across different types of households. For different groups of households, we calculate the redistribution of wealth induced by the in? tion episode described above. Table 5 reports the present-value gains and losses as a percentage of the average net worth of each group for FS and IA. Overall, with respect to age categories, young households bene? t from in? ation and older households lose. On the income dimension, the right column of the table indicates that high-income households lose the most and the loss declines as income becomes lower. Speci? cally, the main winners are young, m iddleincome households with large, ? xed-rate mortgage debts. Their gain as a proportion of mean net worth is large: 4. 34 per cent under FS and 3. 1 per cent under IA. The second group of winners is the young, lowincome group, who enjoy, on average, gains between 2. 53 per cent and 2. 66 per cent of their average net worth. The gains of the young low-income group come largely from their holdings of student loans and mortgage debt. Note that this group actually experiences greater gains under IA. As in the case for the non-resident sector, this occurs when there is a maturity mismatch. More speci? cally, while the gains associated with their net borrowing positions in bonds and mortgages do not vary much between in? tion scenarios, the losses associated with their savings in short-term instruments are mitigated under IA, since these claims mature before the shock has ended. The main winners are young, middleincome households with large, ? xed-rate mortgage debts. More age groups amo ng low-income housholds bene? t from the in? ation episode than those among the middle class or the high-income under FS. This is because low-income households remain net borrowers through to age 56, and therefore the youngest three groups among the low-income are winners. In general, older middle- and high-income households bear most of the losses under the two in? tion scenarios. More speci? cally, under the FS scenario, high- and middle-income households over age 75 are the sector’s greatest losers, with losses accounting for 1. 45 per cent and 1. 64 per cent, respectively, of their respective average net worth. These losses are UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 49 mainly owing to their large positions in bonds and non-indexed de? ned-bene? t pensions. Table 5 also shows that most high-income households lose from the in? ation episode. Older middle- and high-income households bear most of the losses . . owing to t heir large positions in bonds and non-indexed de? ned-bene? t pensions. Conclusion In this article, we quantify the redistributional effects of unexpected in? ation in Canada. To this end, we ? rst provide comprehensive evidence of the nominal assets and liabilities of various economic sectors and household groups. We then conduct experiments examining the redistributional consequences of various in? ation episodes. The key ? nding is that the redistributional effects of unexpected in? ation are large even for episodes of low in? ation. For example, during an episode of low in? tion, where in? ation is one per cent above expectations for ? ve consecutive years, the loss of wealth among the household sector as a whole could amount to the equivalent of two per cent of GDP, or $27 billion. Among the main winners are young, middle-income households, who are major holders of ? xed-rate mortgage debt, and the government, since in? ation reduces the real burden of their debts. The losers a re a combination of highincome households; middle-aged, middle-income households; and old households, who hold long-term bonds and non-indexed pension wealth. Non-indexed pension assets play an important role in the losses of old households. A natural question arising from these results is whether these redistributions have implications for the aggregate economy and welfare. These issues are analyzed in recent research by Meh, Rios-Rull, and Terajima (2008), whose ? ndings are also summarized in Crawford, Meh, and Terajima (this issue). Literature Cited Crawford, A. , C. A. Meh, and Y. Terajima. 2009. â€Å"Price-Level Uncertainty, Price-Level Targeting, and Nominal Debt Contracts. † Bank of Canada Review, (Spring): 31-41. Doepke, M. nd M. Schneider. 2006. â€Å"In? ation and the Redistribution of Nominal Wealth. † Journal of Political Economy 114 (6): 1069–97. Meh, C. A. , J. -V. Rios-Rull, and Y. Terajima. 2008. â€Å"Aggregate and Welfare Effects of Redistribution of Wealth under In? ation and Price-Level Targeting. † Bank of Canada Working Paper No. 2008-31. Meh, C. A. and Y. Terajima. 2008. â€Å"In? ation , Nominal Portfolios, and Wealth Redistribution in Canada. † Bank of Canada Working Paper No. 2008-19. 50 UNEXPECTED INFLATION AND REDISTRIBUTION OF WEALTH IN CANADA BANK OF CANADA REVIEW SPRING 2009 How to cite Unexpected Inflation, Essay examples

Professional Learning Community

Question: Describe how working within a professional learning community could help you become a more effective teacher. Evaluate your readiness to participate as a teacher in a professional learning community by honestly assessing yourself in these 3 areas: Am I willing to give my materials, my units, my best ideas to other teachers? Answer: Abstract Aprofessional learning community idea includes the exchange of ideas, sharing the experience and work collaboratively by a educators group who meets at regular interval in order to get better skills in teaching and the improves educational presentation of students. There is a saying if you always want to learn from your experiences then your life will seems to be short. Hence this concept is so much successful because professional shares their experiences and thus grow together. Introduction Professional learning communities are inclined to serve up in two wide intentions The acquaintance and skill improvement of educators during collaborative learning, exchange of proficiency, and skilled conversation. Enhanced educational ambitions accomplishment, and realization of students in the course of stronger guidance and education. Hence it is more than sharing lessons and worksheets. Professional learning communities frequently gathering as a shape ofaction research that is, as a method to repeatedly query, re-examine, purify, and get better teaching approach and information.Meetings are goal determined interactions make possible by trained educators to guide communities. Contribution in meetings may be completely deliberate, and in a few schools only some of the faculty will vote for contribution. Experience sharing In professional learning groups are frequently construct about shared roles or tasks For instance, the teachers in a grouping might all teach the similar subject say they may educate science, and these common characteristics permits contributors to spotlight on precise problems and approaches like How to educatethis specific student in better way How to effectively teachscientific theory Evaluation Somewhat than on common educational objectives or theories.Teachers, will talk about and reproduce on their instructional methods lesson planning andevaluationpractice, at the same time as administrators may tackle leadership queries policies and matters. While the precise behavior and objectives of a professional learning may differ extensively in various schools, the subsequent are an only some examples of ordinary actions that may happen in meetings: Discussing teacher work:contestants together do lesion plan and assessment evaluation that is covered in the class, and then present significant feedback and suggestions for progress. Discussing student work:Contestants evaluate student work submitted and then present suggestions on how education or education approaches may be customized to get better value of student work. Discussing student data:Contestants examine student presentation data to recognize trends like which students are again and again underperforming and collaboratively expand practical teaching and support approaches to assist students which are under pressure academically. References Barth, R. (1991). Restructuring schools: Some questions for teachers and principals.Phi Delta Kappan, 73(2), 123128. Marzano, R. (2003).What works in schools: Translating research into action. Alexandria, VA: ASCD. Charmez, C. (2000). Grounded theory objectivist and constructivist methods. In N. Denzin Y. Lincoln (Eds.), Handbook of qualitative research. Cochran-Smith, M., Lytle, S. L. (1999). Relationships of knowledge and practice: Teacher learning in communities. In A. Iran-Nejad P. D. Pearson (eds.), Review of Research in Education, 24, 249-305. Washington, DC: American Education Research Association.