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This paper aims to present a panel data econometric model of the main determinants of house prices in the ten largest census metropolitan areas (CMA) in Ontario, Canada, for the years 2001, 2006 and 2011. The impact of immigration on the housing market in Canada is little researched; however, immigration plays an important role into the economy of Canada. According to Statistics Canada, not only is immigration key to Canada’s population growth but also without immigration, in the next 20 years, Canada’s population growth will be zero. The motivation for this study is the bursting of housing bubbles in some developed countries (e.g. USA). The authors analyze variables that are related to the immigration policy in Canada, accounting also for the impact of the interest rate, income, unemployment, household size and housing supply to analyze housing price determinants. The study investigates the magnitude of the impact of the top three leading categories of immigrants to Canada, namely, Chinese, Indian and Filipino, on the housing prices in Ontario’s largest cities. The results show the main factors that explain home prices over time that are interest rate, immigration, unemployment rate, household size and income. Over the 10-year period from 2001 to 2011, immigration grew by 400 per cent in Toronto CMA, the largest receiving area in Ontario, while the nonimmigrant population grew by 14 per cent. For Toronto CMA, immigrants, income, unemployment rate and interest rate explain the CA$158,875 average home price increase over the 2001-2011 time period. Out of this, the three categories of immigrants’ share of total home price increase is 54.57 per cent, with the corresponding interest rate share 58.60 per cent and income share 11.32 per cent of the total price growth. Unemployment rate contributes negatively to the housing price and its share of the total price increase is 24.49 per cent.

The framework for the empirical analysis applies the hedonic pricing model theory to housing sales prices for the ten largest CMAs in Ontario over the years 2001-2011. Following Akbari and Aydede (2012) and O’Meara (2015), market clearing in the housing market results in the housing price as a function of several housing attributes. The authors selected the housing attributes based on data availability for the Canadian Census years of 2001, 2006 and 2011 and the variables that have been most used in the literature. The model has the average housing prices as the dependent variable, and the independent variables are: immigrants per dwelling (Chinese, Indian, and Filipino), unemployment rate, average employment income, household size, housing supply and the interest rate. To capture the relative scarcity of dwellings, the independent variable immigrants per dwelling was used.

This study seems to suggest that one cause of high prices in Ontario is large inflows of immigrants together with low mortgage interest rate. The authors focused their attention on Toronto CMA, as it is the main destination of immigrants and comprises the largest cities, including Toronto, Mississauga, Brampton and Oakville. Looking over the 10-year period from 2001 to 2011, the authors can see the factors that impact the home prices in Toronto CMA: immigration, unemployment rate, household size, interest rate and income. Over the period of 10 years from 2001 to 2011, immigrants’ group from China, India and the Philippines account for CA$86,701 increase in the home price (54.57 per cent share of the total increase). Income accounts for CA$17,986 increase in the home price (11.32 per cent share); interest rate accounts for CA$93,103 of the average home price increase in Toronto CMA (58.60 per cent share); and unemployment rate accounts for CA$38,916 decrease in the Toronto average home prices (24.49 per cent share). Household size remain stable over time in Toronto (2.8 average household size) and does not have a contribution to home price change. All these four factors, interest rate, immigrants, unemployment rate and income, together explain CA$158,875 increase in home prices in Toronto CMA between 2001 and 2011.

The housing market price analysis may be more complex, and there may be factors impacting the housing prices extending beyond immigration, interest rate, income and household size. Finally, the results of this paper can be extended to include the most recent census data for the year 2016 to reflect more accurately the price situation in the housing market for Ontario cities.

The fact that currently, in 2017, the young working population cannot afford buying a property in the Toronto CMA area means there is a problem with this market and a corresponding decrease in the quality of life. According to The Globe and Mail (July 2017), a new pool in 2017 suggested that two in five Canadians believe housing in this country is not affordable for them. Further, 38 per cent of respondents who consider themselves middle or upper class believe in no affordability of housing. The Trudeau Government promised Canadians a national housing strategy for affordable housing. Designing a national housing strategy may be challenging because it has to account for the differential income ranges across regions. Municipal leaders are asking the government to prioritize repair and construct new affordable housing. Another reason discussed in the media of the unaffordability of housing in Toronto and Vancouver is foreign buyers. The Canadian Government recently implemented a tax measure on what it may seem the housing bubble problem: foreign buyers. Following Vancouver, in April 2017, Ontario Government imposed a 15 per cent tax on foreign buyers who are not Canadian citizens or permanent residents. This tax is levied on houses purchased in the area stretching from Niagara Region and Greater Toronto to Peterborough.

Few studies use Canadian data to explain house prices and analyze the effect of immigration on housing prices. There is not much research on the effect of the immigrants and immigrants’ ethnicity (e.g., Chinese, Indian and Filipino immigrants), on the housing prices in Canada cities. This study investigates the impact of the most prevalent immigrant races (e.g., from China, India and the Philippines) on housing prices, using data for Canadian major cities in Ontario within a panel data econometric framework. This paper fills this gap and contributes to the literature, which analyzes the determinants of housing prices based on a panel of cities in the Canadian province of Ontario.

The study aims to measure the fair value (FV) regulation convergence and to present its determinant factors and effects.

An empirical approach is used based on the content analysis of the accounting and valuation referentials, and of the similarity and dissimilarity measures.

The study attests the materialisation of the IASB and FASB objective regarding the FV accounting convergence and underlines certain dissimilarities concerning the guidance quality and the application extent of FV. In comparison with some theses in the literature on the quality of the fair value measurement, it states that certain measurement solutions, especially the focus on exit value and the preference for the seller's perspective, cannot cover all the situations that imply FV accounting and discriminate the users of accounts in favour of the financial statement providers. As to the relation between accounting standards and valuation standards, a smaller convergence degree was determined, namely in the case of IASB FV exposure draft. The main causes of this dissimilarity are related to the insufficient adaptation of IVS to the financial reporting requirements for measurement details and for FV disclosure.

In addition to some recommendations for the accounting standard setters, the paper draws attention to the need to improve the collaboration between IASB and IVSC by developing a joint document regarding technical guidance.

The study undertakes a comparative analysis of the accounting and valuation standards on fair value, based on an empirical approach, discusses the causes and suggests improvement measures for referentials including the atypical cases concerning elements of the financial statements, the market and the economies.

The purpose of this paper is to investigate stakeholders’ salience on accounting and in particular to assess the magnitude of state influence in Romania, an emerging context.

This research integrates stakeholders’ theory and an empirical approach based on a survey administrated to professional accountants as preparers of accounts on the financial reporting market.

The findings confirm the hypothesis of Mitchell et al. (1997) that the importance of stakeholders is high if attributes like power, legitimacy and claims urgency are perceived as current. In the Romanian emergent context, for the period 1991-2010, a relatively strong tax-accounting linkage is still identified according to Lamb et al.’s (1998) hierarchy. However, as compared to the absolute dominance observed for the early post-communist stage, the state holds the second position in terms of values of stakeholder attributes, after the shareholders.

An increased influence of the accounting bodies, academics and business representatives, who should communicate effectively and constructively with the public structures with respect to enforcement of accounting regulations and the type of organizations involved. The higher focus on IFRS in the EU and in Romania and the evolution of Romanian economic and legal structures lead to the reassessment of the usefulness of IFRS, at least in the case of certain types of organizations. This is also due to the fact that the new IASB framework takes into consideration other types of stakeholders than (actual) shareholders along with the providers of finance from the entity and stewardship perspective.

This paper argues that one of the factors of state influence in accounting is the tax-accounting linkage who is still occurs in this context in present. Also, refers to another factor that caused the watering down of the state’ position, namely, the growing impact of IFRS on Romanian financial reporting.