Friday, January 5, 2018
On international house pricing:
On household finance:
On mortgages:
On behavioral real estate:
On affordable housing:
On property taxes:
On agency and bargaining:
On homeownership:
Photo by Aliis Sinisalu
On international house pricing:
Posted by 5:00 AM
atLabels: Global Housing Watch
Thursday, January 4, 2018
A new paper concludes that “Okun’s law is applicable in Russia.” “The economic connection between economic growth rates and changes in unemployment proposed by Okun (1962) over half a century ago remains one of the main tools for analyzing labor markets.”
“Gabrisch and Buscher (2006) proposed that the formation of the labor market mechanism in the formerly planned economies could be considered as completed once Okun’s law became persistently applicable there.”
“The general conclusion is that Okun’s law is applicable in Russia both in the short and long run. A comparison (Akhundova et al., 2005) has shown that transition processes in the Russian labor market were completed during the first half of the 2000s (i.e., the shaping of the labor market mechanisms took slightly more than 10 years).”
The article is available from the Russian Journal of Economics.
A new paper concludes that “Okun’s law is applicable in Russia.” “The economic connection between economic growth rates and changes in unemployment proposed by Okun (1962) over half a century ago remains one of the main tools for analyzing labor markets.”
“Gabrisch and Buscher (2006) proposed that the formation of the labor market mechanism in the formerly planned economies could be considered as completed once Okun’s law became persistently applicable there.”
“The general conclusion is that Okun’s law is applicable in Russia both in the short and long run.
Posted by 10:42 AM
atLabels: Inclusive Growth
In a new paper, Daniel Aromi shows that “excessive optimism after the arrival of positive information” for a few years about a country’s prospects can lead to large forecast errors when the information turns negative but forecasts don’t.
“[…] some years before the Asian crisis, Krugman (1994) warned against ‘popular enthusiasm about Asia’s boom’. More recently, Pritchett and Summers (2014) indicate that growth expectations regarding the Chinese and Indian economies might suffer from excessive extrapolation of recent trajectories. In addition to these warnings, further motivation is provided by macroeconomic episodes in which improved economic prospects are followed by crises. For instance, several European economies, among them Greece and Ireland, went through this type of trajectory. Another case is given by recent events in Brazil, where prominent optimism regarding economic prospects was later proven wrong in a stark manner.”
“The empirical analysis shows a significant association between mean forecast errors and earlier information flows. The sign of the documented relationship is consistent with the overreaction hypothesis. More positive information is followed, on average, by higher forecast errors, that is, by increments in the mean difference between forecast growth and realized growth.”
“It is worth noting that the strongest evidence is documented for information flows and forecasts errors that are between 4 and 8 years apart. In other words, the evidence indicates the presence of a process that develops at a frequency that is lower than the usual business cycle frequency.”
“This work documents the presence of systematic errors in growth forecasts. Mean forecast errors are positively associated with the tone of information flows observed in previous periods.”
“The inefficient use of information and the associated errors in decision-making could explain economically significant aggregate fluctuations. In particular, excessive optimism after the arrival of positive information can contribute to the emergence of vulnerabilities that increase the likelihood of economic crises.”
The article is available from the International Finance.
In a new paper, Daniel Aromi shows that “excessive optimism after the arrival of positive information” for a few years about a country’s prospects can lead to large forecast errors when the information turns negative but forecasts don’t.
“[…] some years before the Asian crisis, Krugman (1994) warned against ‘popular enthusiasm about Asia’s boom’. More recently, Pritchett and Summers (2014) indicate that growth expectations regarding the Chinese and Indian economies might suffer from excessive extrapolation of recent trajectories.
Posted by 10:41 AM
atLabels: Forecasting Forum
Hendry reports per capita UK CO2 emissions, “which rose considerably till 1916, fluctuated violently till 1950, and have dropped dramatically since 1970” (see Hendry, 2017b).
“The sub-period distributions of UK CO2 emissions in [the figure below] illustrate their changes in shape, spread and location.”
My working paper with Gail Cohen, Joao Jalles and Ricardo Marto shows how production-based emissions and consumption-based emissions differ in the UK. Both the cyclical components and the trend components are shown in the figure below.
Hendry reports per capita UK CO2 emissions, “which rose considerably till 1916, fluctuated violently till 1950, and have dropped dramatically since 1970” (see Hendry, 2017b).
“The sub-period distributions of UK CO2 emissions in [the figure below] illustrate their changes in shape, spread and location.”
My working paper with Gail Cohen, Joao Jalles and Ricardo Marto shows how production-based emissions and consumption-based emissions differ in the UK.
Posted by 10:37 AM
atLabels: Energy & Climate Change
The noted econometrician writes: “The intermittent failure of economic forecasts to ‘foresee’ the future reflects both imperfect knowledge and a non-stationary and evolving world that is far from ‘general equilibrium’ and closer to ‘general disequilibrium’.”
“[This has] disastrous consequences for dynamic stochastic general equilibrium (DSGE) systems, which transpire to be the least structural of all possible model forms as their derivation entails they are bound to ‘break down’ when the underlying distributions of economic variables shift. This serious problem is highlighted by Hendry and Muellbauer (2017) in their critique of the Bank of England quarterly econometric model (BEQEM–pronounced Beckem: […] a DSGE which, as in the film ‘Bend it Like Beckham’, bent in the Financial Crisis, but so much that it broke and had to be replaced.”
“Surprisingly, despite that abject failure, it was replaced by yet another DSGE (COMPASS: Central Organising Model for Projection Analysis and Scenario Simulation […]. Unfortunately, […] COMPASS had already failed to characterize data available before it was even developed. Persisting with such an approach introduces a triple whammy as:
a] the derivations sustaining DSGEs use an invalid mathematical basis;
b] imposing a so-called ‘equilibrium’ fails to take account of past shifts;
c] the DSGE approach assumes agents act in the same incorrect way as the modeller, so assumes agents have failed to learn that imperfect knowledge about location shifts forces revisions to their plans.”
“During a visit to LSE in 2009, Queen Elizabeth II asked Luis Garicano “why did no one see the credit crisis coming?” to which a part of his answer should have been that DSGE models dominated economic agencies and essentially ruled out such major financial crises by assuming away imperfect knowledge. Prakash Loungani (2001) argued “The record of failure to predict recessions is virtually unblemished.””
The article is available from the here.
The noted econometrician writes: “The intermittent failure of economic forecasts to ‘foresee’ the future reflects both imperfect knowledge and a non-stationary and evolving world that is far from ‘general equilibrium’ and closer to ‘general disequilibrium’.”
“[This has] disastrous consequences for dynamic stochastic general equilibrium (DSGE) systems, which transpire to be the least structural of all possible model forms as their derivation entails they are bound to ‘break down’ when the underlying distributions of economic variables shift.
Posted by 10:33 AM
atLabels: Forecasting Forum
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